Position Summary:

The Business Development Director - Lab Services is responsible for identifying and closing significant business opportunities for Precision Bioservices in the assigned area of responsibility and/or region.

Essential functions of the job include but are not limited to:

• Identifies opportunities for all Bioservices products and services, with an emphasis on biobanking, sample preparation services, and specialty lab services
• Develops and enhances client relationships
• Establishes a strong working relationship with Marketing, Technical Support, Customer Support and Production
• Qualifies leads
• Writes proposals, consulting as appropriate with internal Bioservices experts
• Develops project budgets and pricing, utilizing in-house resources to ensure budget accuracy
• Closes new business and expands existing business relationships
• Attend conferences, trade shows and meetings as required
• Maintain contacts and opportunities using SalesForce.com
• Other responsibilities as assigned

Qualifications:

Minimum Required:

• Bachelor’s Degree and 5 years of related sales experience; or
• Master’s Degree and 2 years of related sales experience; or
• PhD and 0-1 years of related sales experience

Other Required:

• Team player willing to collaborate and share knowledge
• Ability to work independently, manage time and create plans to achieve personal goal
• Ability to think creatively and strategically and act tactically in a dynamic environment
• Track record of successive increasing levels of responsibility
• Proven track record of successful client relationship management and business development in pharmaceutical, biotech or CRO organization with success in sales of biobanking, sample preparation services, and specialty lab services
• Must be self-directed and self-motivated to work at a highly technical level
• Willing to travel up to 35%
• Must possess a valid driver’s license allowing you to drive in the state(s) you drive in  
• Able to travel both domestically and internationally including overnight stays

Preferred:

• Academic concentration in life sciences or related field
• Masters or Ph.D. in Life Sciences, Molecular Biology or Biochemistry
• 10 years of related sales experience

***Compensation range listed considers base salary with the potential for incentives***

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ESSENTIAL JOB FUNCTIONS:

• Manage Senior Accountant and ensure timely, accurate processing of journal entries, reconciliations and various account analyses for R&D functions such as translational research, development, diagnostics, pharmacology, and regulatory affairs, and adherence to company policies.
• Review and approve invoices for payment. Ensure proper coding, two-way match, and approval workflows.
• Perform and review journal entries and balance sheet reconciliations for key accounts such as accrued R&D contracts, prepaid R&D ST, and prepaid R&D LT.
• Review various related parties and partner transactions including reconciliations, and analysis.
• Perform and review monthly and quarterly variance analyses for operating expenses, R&D functions, projects, and key accounts; investigate and resolve discrepancies proactively.
• Ensure compliance with U.S. GAAP, SOX requirements, and internal accounting policies across all responsible functions and processes.
• Support the design, implementation, and ongoing maintenance of Sarbanes‑Oxley internal controls, including documentation and testing.
• Assist with external financial audits by preparing schedules and responding to auditor requests and inquiries.
• Review monthly purchase order coding, partner with project managers and accounting staff to ensure proper coding for all new purchase orders.
• Apply strong analytical skills and critical thinking to identify issues, recommend improvements, and enhance the accuracy, efficiency, and quality of accounting processes.
• Perform additional duties and ad hoc projects as needed to support Finance leadership and departmental goals

Job Specifications:

• Bachelor’s degree in accounting, or other related discipline, or the equivalent knowledge and experience required.
• Experience in the biotech/pharmaceutical industry required
• A minimum of 6-8 years’ relevant accounting experience, preferably in a combination of the following monthly close process, bank reconciliations, balance sheet reconciliations, contract accruals
• Excellent communication and people skills and the ability to interface with various levels of co-workers, upper management, and external customers while maintaining a high degree of confidentiality.
• Experience working in publicly traded company and life science industry preferred.
• Knowledge of US GAAP and internal control principles for a public corporation.
• ERP experience required; experience with NetSuite, Blackline, Coupa and Concur preferred.
• Skilled in the use of Microsoft Office Suite with intermediate to advanced Excel skills.
• Detail oriented with good analytical skills.
• Exercises independent judgment in managing operational decisions within their area; proactively identifies issues and determines when to escalate more complex or cross-functional decisions.
• Serves as a key point of contact for cross-functional partners withing their area, ensuring alignment and proactively addressing coordination needs to support team deliverables.
• Strong time management skills and ability to independently organize multiple tasks of varying priorities and meet critical deadlines in a fast-paced environment.
• Ability to work in team environment and willing to assist other team members to achieve team goals and objectives.

The base range for this role at a Senior Manager level is $143,000 - $176,500. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location, and relevant education or training. Kura's compensation package also includes generous benefits, equity, and participation in an annual target bonus.

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Your next role as a Miracle Maker 

Maravai LifeSciences is seeking a #MiracleMaker to join our CDMO team as a Senior Process Development & Manufacturing Specialist. The Senior Process Development & Manufacturing Specialist is responsible for leading the transfer, execution, and optimization of processes supporting GMP-grade oligonucleotide and mRNA production within a CDMO environment. This role combines advanced technical expertise in IVT synthesis, downstream purification, and wet chemistry operations with ownership of process performance, scalability, and manufacturing readiness. The position is a subject matter expert, driving process improvements, supporting client programs, and ensuring successful technology transfer from development into GMP manufacturing. With a high degree of autonomy, this role partners cross-functionally with Manufacturing, Quality, and Commercial teams to deliver high-quality and scalable solutions for external clients.

How you will make an impact: 

• Lead execution and optimization of manufacturing processes for GMP-grade oligonucleotides and mRNA, ensuring product quality, consistency, and process efficiency.
• Lead tech transfer activities, translating development processes into robust, scalable GMP manufacturing workflows.
• Drive process improvement and scale-up initiatives by analyzing process data, identifying bottlenecks, and implementing sustainable solutions.
• Support equipment performance and process reliability by troubleshooting issues, identifying root causes, and collaborating on corrective and preventive actions.
• Author, review, and implement GMP documentation, including batch records, SOPs, and technical reports in accordance with Good Documentation Practices.
• Serve as a technical subject matter expert, providing guidance, training, and mentorship to manufacturing staff and supporting cross-functional problem-solving.
• Collaborate with internal stakeholders and client-facing teams to support technical discussions, custom process requirements, and successful program execution.
• Conduct characterization and process development studies to support continuous improvement and product scalability.
• Perform other functions and duties as required 

 The skills and experience that you will bring: 

• Bachelor’s degree in Chemistry, Biochemistry, Molecular Biology, or related scientific discipline with 5–8+ years of relevant experience, or advanced degree with industry experience.
• Strong hands-on experience in GMP manufacturing environments, including oligonucleotide or mRNA production, purification (HPLC), and scale-up.
• Demonstrated expertise in process development, tech transfer, and process optimization within regulated environments (ICH Q7, ISO cleanrooms).
• Proven ability to analyze process data, troubleshoot technical issues, and implement process improvements.
• Experience authoring and reviewing GMP documentation, including SOPs, batch records, and technical reports.
• Strong communication and leadership skills, with experience mentoring staff and supporting cross-functional and client-facing interactions.

The anticipated salary range for this position is $90,000 - $100,00.  In addition, highly competitive long-term incentives in the form of company equity, bonus participation and company sponsored benefits are provided as part of the total compensation package.  The salary offer will depend on multiple factors which may include the successful candidate's skills, experience and other qualifications, as well as the location of the role.  

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Your next role as a Miracle Maker 

Maravai LifeSciences is seeking a #MiracleMaker to join our Manufacturing team at TriLink BioTechnologies as a Manufacturing Intern. In this role, you will gain hands-on experience supporting mRNA-based workflows while developing a strong foundation in nucleic acid production.

As part of your core project, you will contribute to the design and validation of untranslated region (UTR) sequences for mRNA. The Manufacturing Intern will partner with scientists in the Operations Technical Support team to design, optimize, and implement standard protocols for PCR methods. The intern will utilize the following skills:

• Primer design
• PCR amplification of DNA
• In-vitro transcription of mRNA
• Silica purification of mRNA
• Fragment Analysis of mRNA and DNA, along with data interpretation
• Analysis of advanced mRNA analytics
• SOP and batch record use and drafting
• Process transfer to manufacturing
• Building production cost models

 The skills and experience that you will bring:

• Currently pursuing an undergraduate degree in Biology, Chemistry, Bioengineering, or a related life science discipline
• Foundational understanding of molecular biology concepts (e.g., DNA, RNA, gene expression) preferred
• Strong analytical and problem-solving skills
• Ability to work both independently and collaboratively in a team environment

Program details:

• 9-week Summer Internship Program
• Program dates: June 1, 2026

The anticipated salary range for this position is $25.00 per hour. The salary offer will depend on multiple factors which may include the successful candidate's skills, experience and other qualifications, as well as the location of the role. 

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Your next role as a Miracle Maker 

Maravai LifeSciences is seeking a #MiracleMaker to join our Finance team as a Finance Intern. In this role, you will gain hands-on experience supporting the FP&A team, with additional exposure to Sales Operations and Accounting.

As part of your internship, you will contribute to a core project focused on building pro forma P&L scenarios using research on industry peers, market trends, growth opportunities, and potential expense savings.

How you will make an impact: 

• Support the FP&A team with financial analysis and reporting
• Build and analyze pro forma P&L scenarios based on market and competitive research
• Interpret data to identify trends, drivers, and anomalies
• Assist in evaluating growth opportunities and cost-saving initiatives
• Collaborate cross-functionally with Sales Operations and Accounting teams
• Present findings clearly through written and verbal communication
• Perform other functions and duties as required 

 The skills and experience that you will bring: 

• Currently pursuing an undergraduate degree in Finance, Business, or a related discipline
• Foundational understanding of GAAP accounting (preferred)
• Strong analytical and problem-solving skills
• Ability to work both independently and collaboratively
• Proficiency in Microsoft Excel
• Exposure to ERP systems (e.g., SAP, Oracle, NetSuite) and/or BI tools (e.g., Tableau, Power BI) is a plus

The anticipated salary range for this position is $25.00 per hour. The salary offer will depend on multiple factors which may include the successful candidate's skills, experience and other qualifications, as well as the location of the role. 

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Your next role as a Miracle Maker 

Maravai LifeSciences is seeking a #MiracleMaker to join our manufacturing team as a Temporary Manufacturing Associate I, Oligo. As a Temporary Manufacturing Associate I, Oligo, you will support daily production operations by performing basic production tasks, preparing equipment and materials, executing routine workflows, and maintaining proper documentation. Works under close supervision within ISO-classified manufacturing spaces to produce research and clinical-grade components. Learns and applies operational procedures while developing foundational skills in oligo production technologies.

How you will make an impact: 

• Reviews daily production tasks and follows established procedures for material preparation, equipment set-up, and execution of routine processes.
• Assists in preparing production areas for cGMP project initiation or changeover.
• Documents production activities by accurately completing forms, logs, and batch-related records in compliance with GDP.
• Operates and cleans equipment following established instructions and escalates equipment issues or deviations.
• Supports execution of batch records and follows SOPs; may assist in SOP revisions under guidance.
• Participates in training and completes required cGMP and company training within defined timelines.
• Maintains a clean and safe work environment by following SOPs and housekeeping expectations.
• Communicates progress, issues, and observations to supervisors or senior associates.
• Collaborates with Manufacturing Associate II staff and other support groups to ensure workflow alignment.
• Performs basic oligo synthesis, purification, processing steps, and associated documentation with supervision.
• Performs other functions and duties as required

 The skills and experience that you will bring: 

• Bachelor's Degree in life science field or related field preferably in Chemistry/Biochemistry/Biology/Molecular Biology or equivalent experience
• 1+ years of experience in a Biochemistry manufacturing laboratory preferred
• Exposure in a cGMP/ ISO 7/ ISO 8 clean room environment desired
• Experience with executing SOPs
• Proficiency in Microsoft Office Suite desired
• Display strong organizational skills, detail-oriented, and demonstrated problem-solving abilities
• Excellent written and verbal communication skills
• Self-motivated and able to organize and prioritize multiple tasks

The anticipated salary range for this position is $20.00 - $25.00. The salary offer will depend on multiple factors which may include the successful candidate's skills, experience and other qualifications, as well as the location of the role. 

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Your next role as a Miracle Maker 

Maravai LifeSciences is seeking a #MiracleMaker to join our Customer Service team as a Temporary Customer Service Representative I. As a Temporary Customer Service Representative I, you will be the first point of contact for our customers, playing a key role in delivering exceptional service and fostering brand loyalty. Your primary responsibilities will include responding to customer inquiries, processing orders, and ensuring accurate documentation in accordance with established procedures. You will collaborate with internal teams to meet customer needs while embodying TriLink’s mission and values. This is an entry-level role designed to build a strong foundation for growth within the Customer Service team. 

How you will make an impact: 

• Serve as the primary contact for customers, addressing inquiries via phone, email, or other communication channels with professionalism and efficiency. 
• Process customer orders, quotes, and requests accurately and in a timely manner using ERP and CRM systems. 
• Ensure all customer interactions are documented thoroughly and align with established Standard Operating Procedures (SOPs). 
• Collaborate with internal departments, including Sales and Shipping, to meet customer scheduling and delivery expectations. 
• Resolve customer complaints by gathering relevant information and escalating complex issues to the Customer Service Supervisor as needed. 
• Assist in maintaining and updating customer accounts, ensuring compliance with regulatory standards and internal protocols. 
• Provide basic product information, answer routine questions, and offer support on order tracking and shipping inquiries. 
• Support team training initiatives by contributing feedback and participating in process improvement discussions. 
• Uphold Maravai’s mission and values, demonstrating a commitment to creating positive customer experiences. 
• Perform other functions and duties as required 

 The skills and experience that you will bring: 

• High school diploma or equivalent required; a bachelor's degree in business or a related field is preferred. 
• 0-2 years of experience in a customer service role, ideally in a manufacturing or life sciences environment. 
• Familiarity with ERP and CRM systems (e.g., Oracle/NetSuite, Salesforce) is a plus. 
• Strong organizational skills with excellent attention to detail. 
• Effective communication skills, both written and verbal. 
• Ability to work collaboratively in a team environment while managing individual tasks independently. 
• Customer-focused mindset with a proactive approach to problem-solving. 
• Basic proficiency in Microsoft Office Suite (Word, Excel, Outlook). 

The anticipated salary range for this position is $20.00 - $25.00. The salary offer will depend on multiple factors which may include the successful candidate's skills, experience and other qualifications, as well as the location of the role. 

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Your next role as a Miracle Maker 

Maravai LifeSciences is seeking a #MiracleMaker to join our engineering team as a Senior Facilities Engineer. As a Senior Facilities Engineer, you will responsible for the technical oversight, reliability, compliance, and continuous improvement of facility infrastructure, laboratory systems, and critical utilities supporting R&D, Manufacturing, and Quality Control operations. This role serves as the subject matter expert for building systems, environmental controls, maintenance strategy, and regulatory compliance within a regulated life sciences environment. The Senior Facilities Engineer ensures facility readiness, safety, and business continuity through proactive maintenance programs, engineering problem solving, vendor management, and cross functional collaboration to support operational performance and regulatory standards.

How you will make an impact: 

• Serve as technical owner for facility infrastructure systems including HVAC, electrical distribution, water systems, compressed air, laboratory gases, environmental controls, and waste systems
• Develop and execute preventive and predictive maintenance programs to improve uptime, asset reliability, and lifecycle management
• Manage facility and equipment asset records, maintenance schedules, and calibration programs within CMMS systems
• Lead troubleshooting and root cause investigations for facility related failures and implement sustainable corrective actions
• Support equipment installation, commissioning, qualification, and validation activities including IQ and OQ where applicable
• Ensure compliance with GMP, ISO 9001 and or ISO 13485, OSHA, and local and federal regulatory requirements
• Oversee hazardous material handling, storage, and disposal in partnership with EHS and approved vendors
• Evaluate and manage external contractors and service providers to ensure cost effectiveness, quality, and timely execution
• Maintain audit ready documentation including SOPs, maintenance logs, calibration records, and validation documentation
• Support capital improvement projects, facility expansions, space planning, and business continuity initiatives
• Perform other functions and duties as required 

 The skills and experience that you will bring: 

• Bachelor’s degree in Engineering, Facilities Engineering, Mechanical Engineering, or related technical discipline with 5 years of experience in facilities engineering within a regulated laboratory or manufacturing environment. Equivalent experience considered.
• Working knowledge of GMP regulations and ISO 9001 and or ISO 13485 standards
• Experience supporting HVAC, utilities, laboratory infrastructure, and environmental control systems
• Experience with equipment qualification, validation, and calibration programs
• Proficiency with CMMS systems and Microsoft Office applications
• Strong analytical and problem solving skills with ability to conduct root cause investigations
• Effective communication skills and ability to collaborate cross functionally

The anticipated salary range for this position is $100,000 - $120,000.  In addition, highly competitive long-term incentives in the form of company equity, bonus participation and company sponsored benefits are provided as part of the total compensation package.  The salary offer will depend on multiple factors which may include the successful candidate's skills, experience and other qualifications, as well as the location of the role.  

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Your next role as a Miracle Maker 

Maravai LifeSciences is seeking an experienced, proactive and detail-oriented Financial Reporting and Revenue Manager to join our team. This role is responsible for managing the preparation and filing of all external financial reports in compliance with U.S. GAAP and SEC regulations (including Forms 10-K, 10-Q, and 8-K), and leading the Company’s revenue accounting and recognition process. The Financial Reporting Manager will play a critical role in ensuring the accuracy, timeliness, and integrity of the Company’s financial disclosures as a large accelerated filer. In addition to overseeing SEC reporting, this individual will review customer contracts, write revenue memos, and drive process improvements across revenue accounting and operations.

This position reports to the Director, Financial Reporting and works closely with Accounting, FP&A, Legal, Investor Relations, and external auditors, providing key technical accounting expertise and supporting the continuous improvement of reporting processes, internal controls, and financial systems. The ideal candidate will have a strong foundation in public company reporting requirements, technical accounting, ASC 606 revenue recognition, and a proven ability to operate effectively in a dynamic, growth-oriented environment.

How you will make an impact: 

• Own the preparation and timely filing of SEC reports, including Forms 10-K, 10-Q and 8-K, ensuring compliance with U.S. GAAP and SEC regulations.
• Lead the drafting and review of financial statements, footnotes, and MD&A disclosures with a strong focus on accuracy, consistency, and technical precision.
• Oversee revenue recognition processes, including contract review, identification of performance obligations, variable consideration analysis, and appropriate revenue treatment under ASC 606.
• Prepare and review technical accounting memos related to revenue recognition and other complex accounting matters.
• Partner with Operations and Sales to streamline revenue-related processes, improve contract flow, and enhance automation and internal controls.
• Perform and review monthly close and reporting activities, including the calculation and analysis of earnings per share (EPS) and review of revenue journal entries.
• Coordinate the preparation of supporting workpapers for quarterly and annual SEC filings by collaborating with cross-functional teams to gather and validate information required for disclosures.
• Liaison with external auditors, as needed, to provide required documentation and respond to inquiries related to quarterly reviews, annual audits, and internal controls testing.
• Develop and manage the quarterly SEC reporting calendar, including key milestones, deliverables, and team assignments to ensure timely execution of all reporting activities.
• Partner closely with the Investor Relations team to support the preparation and review of quarterly earnings materials, ensuring alignment with SEC disclosures and corporate messaging.
• Support the preparation of annual statutory financial statements by coordinating with external consultants and internal teams to compile required schedules and supporting documentation.
• Monitor and assess the impact of new accounting standards and SEC rule changes, develop implementation plans and coordinate with business units to ensure timely adoption and compliance.
• Support SOX compliance efforts, including maintaining and enhancing documentation for policies, procedures, and internal controls related to external financial reporting.
• Drive process improvement initiatives to enhance reporting accuracy, efficiency, and automation within the financial reporting function.
• Maintain and continuously update the related accounting policies to reflect current standards and best practices.
• Coach and mentor team members on SEC reporting requirements, revenue accounting principles, disclosure best practices, and the effective use of reporting tools and systems.
• Prepare ad hoc financial analyses and reports as needed.to support management decision-making and special projects.
•  Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

 The skills and experience that you will bring: 

• 6+ years of experience in financial reporting, auditing, and/or accounting
• CPA required.
• Experience with ASC 606 revenue recognition.
• Public accounting experience required.
• Ability to appropriately communicate effectively with all levels within the organization.
• Ability to read and interpret Generally Accepted Accounting Principles.
• Able to identify and resolve technical, operational, and organizational problems.
• Ability to prepare written memorandums summarizing accounting research.
• Able to work in a fast-paced, constantly changing environment while managing multiple priorities and meet critical deadlines.
• Proficiency with Microsoft Office Suite required.
• Experience with Workiva required.
• Highly detail oriented and organized in work.
• Ability to work cooperatively and collaboratively with all levels of employees, management, and external agencies, developing strong relationships.

The anticipated salary range for this position is $130,000 - $145,000.  In addition, highly competitive long-term incentives in the form of company equity, bonus participation and company sponsored benefits are provided as part of the total compensation package.  The salary offer will depend on multiple factors which may include the successful candidate's skills, experience and other qualifications, as well as the location of the role.  

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Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, and multiple late-stage development programs addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain’s biggest problems so patients and their loved ones can flourish. For more information, please visit us at www.axsome.com and follow us on LinkedIn and X.

About This Role

Axsome Therapeutics is seeking a Specialty Account Manager (SAM) to execute commercial activities for an assigned geography, establish relationships with customers, and ensure successful promotion of SYMBRAVO, an oral acute migraine medication. SAMs will be responsible for product performance at a territory level and expected to be a disease category expert and product champion. The SAM will provide account management support and exhibit business knowledge of the local landscape to assess key stakeholders plus future trends within the marketplace.

Job Responsibilities and Duties include, but are not limited to, the following:

• Proficient in both virtual and live customer engagements  
• Assume full ownership of assigned territory’s performance as a specialty account manager, building awareness for SYMBRAVO amongst key customers in a competitive therapeutic environment 
• Develop a comprehensive and effective territory business plan aimed at achieving and exceeding quarterly and annual goals established by commercial leadership 
• Promote within our approved labeling in a comprehensive, fair, and ethical manner that is consistent with industry specific and corporate legal and regulatory guidelines 
• Develop strong customer relationships by better understanding the customer’s needs 
• Serve as a resource/consultant to customers and staff regarding payer policies and processes (i.e., eligibility and benefit verification, prior-authorization, and appeals/denials) 
• Maximize use of marketing resources to maintain and develop customer relationships for the purpose of growing the customers’ confidence to prescribe Axsome medications for appropriate patients 
• Communicate territory activity in an accurate and timely manner as directed by management 
• Provide feedback to sales and commercial leadership, colleagues, marketing, and other internal departments about changing environment and results 
• Successfully complete all training classes in a timely manner 
• Complete administrative duties in an accurate and timely fashion 
• Manage efforts within assigned promotional budget 
• Effectively collaborate across all corporate functions 
• Attend medical congresses and society meetings as needed 
• Ensure timely access for patients through patient services and savings programs 
• Overnight travel as indicated by the needs of the business 
• Additional responsibilities as assigned 

Qualifications / Requirements 

• Bachelor’s degree from an accredited college or university 
• Minimum of 5 years of field customer experience and/or account management. Minimum of 3 years Healthcare Professional experience with relevant CNS experience will also meet the qualifications for this role 
• 5 years of consistent top performance in the pharmaceutical, biotech or medical sales space 
• Migraine/CNS experience strongly preferred 
• Demonstrated experience delivering outstanding results  
• Launch experience strongly preferred 
• Must live in the territory's geography 
• Experience strategizing within cross-functional teams, utilizing differential resources to achieve business goals 
• Proven ability to successfully manage multiple tasks concurrently under aggressive timelines in a dynamic environment 
• Comfortability with uncertainty and high expectations 
• Patient support services experience a plus 
• Strong digital marketing aptitude 
• Strong interpersonal, presentation, and communication skills 
• Frequent driving, including extended periods of time behind the wheel 
• Prolonged sitting and standing as part of daily job functions 
• Ability to lift and carry up to 30lbs regularly 
• Overhead reaching required to close and secure liftgates or similar equipment 

Salary & Benefits

The anticipated salary range for this role is $100,000 - $150,000. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity and a generous benefits package.

Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law.

Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.

Position Summary

We are looking for a collaborative, self-driven Senior Regional Business Manager to join our team. Under the leadership of the Regional Sales Director, you will be responsible for developing, driving and executing the commercial strategy within the San Diego , US territory and supporting our global expansion. In this sales role you will develop deep customer relationships within academic, Biotech, Pharma and Government accounts, establish the Alamar technology as the market leader, support the build out of Alamar’s commercial organization and meet or exceed the commercial targets set for the company. This role will be field and home-office based.

Duties and Responsibilities

• Develop a territory and account-based sales plan for the territory
• Execute the plan for the territory to meet or exceed company goals
• Deliver presentations on the Alamar technology to customers in seminars and meetings
• Consult customers on the value of Alamar technology for precision proteomics to ensure the delivery of an exceptional customer experience.
• Partner across the company to communicate the needs of customers to drive future product developments and market expansion
• Manage and drive the sales process within a complex sales environment
• Utilize, update and manage the CRM system
• Effectively manage and deliver an accurate forecast for the sales territory
• Drive prospecting and develop new leads in the region to expand the pipeline, customer base and open up new markets
• Support the expansion of the commercial organization as needed to meet the company goals

Qualifications

• Bachelors degree in the Life Sciences or related field
• 8+ years or equivalent of proven life science capital sales experience and success
• Deep knowledge of biomarker discovery and life science markets
• Highly adaptable and independent professional
• Strong desire to build customer relationships for long term engagement

The base salary range for this full-time position is $150,000 - $175,000 + commission + equity + benefits. Our salary ranges are determined by work location, job-related skills, experience, and relevant education or training. The ranges displayed on each job posting reflect the minimum and maximum target for new hire salaries but are subject to change if the leveling of the role is adjusted. Your recruiter can share more about the specific salary range during the hiring process.

Seeking talent near: Princeton, NJ ; San Diego, CA

Position Summary

The Senior Manager R&D Learning & Development supports the development, implementation, and ongoing management of onboarding, training strategies, systems training, and learning processes that build scientific, operational, and future‑ready capabilities across the Research and Development organization and pipeline.

Primary Responsibilities

• Assist in the design, implementation, and continuous improvement of a tiered onboarding and capability-building curriculum aligned to the evolving needs of the R&D pipeline, including discovery, early development, and late-stage programs.

• Utilize experiential learning best practices to effectively engage adult learners and ensure the successful transfer of knowledge.

• Support the management of GxP, congress, and data training with internal stakeholders.

• Collaborate cross-functionally with R&D subject matter experts to develop disease area, modality, platform, and pipeline-focused training, including investigational asset education and emerging science.

• Lead and support training initiatives with internal stakeholders.

• Facilitate the management and development of learning modules in partnership with external vendors.

• Oversee the development of advanced, recurrent, and future-focused training programs, including non-technical skills critical to R&D success (e.g., scientific storytelling, data interpretation, matrix leadership, and decision-making).

• Ensure all content and training are in compliance with internal policies and external regulations.

• Lead cross-functional collaboration to enable systems and digital capability development that support scalable, data-driven learning across the R&D organization.

• Other responsibilities as assigned.

Education/Experience/Skills

Masters’ degree in Life Sciences or a related field; Advanced science degree strongly preferred (PharmD, PhD, MD).  Targeting 7 years of progressively responsible experience in psychiatry, neurology, or rare disease preferably in a pharmaceutical or biotech environment.  Psychiatry, neurology, or rare disease experience strongly desired. Must have education or training experience, including design, delivery, and evaluation of learning programs.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Knowledge of scientific, clinical and/or therapeutic area is preferred.

• Skilled and knowledgeable presenter, able to communicate complex scientific information clearly and effectively.

• Excellent oral and writing skills.

• Proficient computer skills in Microsoft Word, Excel and Outlook.

• Experience working with external vendors.

• Highly detail oriented, self-disciplined, and ability to work independently with limited direction to resolve discrepancies and issues.

• Ability to take initiative and demonstrate follow through skills.

• Excellent planning and organizational skills.

• Effective interpersonal skills to collaborate effectively in a matrix organizational structure, and with all levels within the organization.

• Ability to manage multiple priorities and work cross-functionally in a fast-paced environment.

• Must be willing and able to travel both domestically and internationally.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

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Position Summary

The Sr. Director will support R&D teams through the management of reporting and analytics, workforce and budget planning and oversight, and driving strategic and transformational projects.  S/he will assist with the creation and implementation of policies and procedures.  This role will serve as a key resource across all therapeutic areas and research phases and will be required to work closely with R&D teams and vendors. 

Primary Responsibilities

Reporting and Analytics

• Oversee and manage the Acadia Clinical Command Center, including implementation, oversight, continuous improvement, and change management.
• Develop mechanisms and reports to drive data quality.
• Support data governance activities in support of the Clinical Command Center.
• Primary interface with vendor counterparts around data and to support reporting.
• Partner with cross-functional teams and external vendors to integrate data sources into the Clinical Data Warehouse.
• Oversee and drive high levels of data quality across R&D.
• Implement operational KPIs and establish governance with the purpose of driving improvements in operational efficiency.
• Develop dashboards and reports appropriate to multiple layers of functional leadership to support analysis and drive decisions.
• Point of contact for ad hoc analyses to support business questions.

Workforce Planning and Management

• Develop resource demand algorithms for R&D functions and roles.
• Establish and maintain workforce data for both internal and external staff (e.g. headcount, Functional Service Providers, contractors).
• Lead resource algorithm governance committee.
• Lead R&D workforce management through the regular review of resources, risks, issues and opportunities with key stakeholders.
• Generate and maintain access to workforce forecast data.
• Drive, in partnership with P&P, reporting around R&D headcount resources.
• Support strategic planning and portfolio decision-making through workforce modeling.

Leadership and Change Management

• Lead transformational projects across the R&D organization, as assigned.
• Lead process changes, stakeholder readiness and communication strategy as required.
• Support Business Development integration activities, as needed.
• Other responsibilities as assigned.

Education/Experience/Skills

Bachelor’s degree in a life science or a related field.  Targeting 12 years of progressively responsible experience in R&D Operations, preferably in a pharmaceutical or biotech environment.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced skills in data transformation and visualization techniques and tools (e.g. Excel, PowerBI, Tableau, Alteryx).
• Advanced skills in managing a broad-scope of multiple priorities & projects and work cross-functionally in a fast-paced environment..
• Excellent communication skills (both written and verbal), including experience in preparing/presenting key information to senior leadership.
• Ability to think and plan strategically.
• Strong analytical skills with the ability to understand scientific and financial data, recognize key issues and establish priorities.
• Committed to continuous improvement and consistently delivering measurable results
• Naturally connects and builds strong relationships with others, demonstrating strong emotional intelligence and an ability to communicate clearly and persuasively
• High degree of customer focus.
• Mentor and develop team members, fostering a culture of continuous improvement.
• Requires problem-solving abilities at both strategic and operational levels.
• Must be willing and able to travel both domestically and internationally.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #NC1

POSITION OVERVIEW
Syner-G is seeking a Facilities Technician III with 5–10 years of experience to support the operation, maintenance, and repair of GMP and non-GMP facility systems, utilities, and equipment. This role is responsible for performing advanced maintenance activities, troubleshooting complex issues across multiple building systems, and supporting reliability and compliance requirements in laboratory, manufacturing, and utility environments. The Facilities Technician III works with minimal supervision, handles complex technical challenges, and may guide junior staff as needed to ensure safe and efficient facility operations.

WORK LOCATION
Travel to client sites may be required depending on project demands and client expectations.

KEY RESPONSIBILITIES
(This list is not exhaustive and may be modified as needed.)

• Perform advanced preventive and corrective maintenance activities on mechanical, electrical, HVAC, utility, safety, and building systems across GMP and non-GMP areas.
• Receive, prioritize, and execute work order requests from employees, tenants, and internal customers, ensuring timely and efficient response to facility needs.
• Troubleshoot and resolve complex technical issues involving HVAC systems, electrical distribution, plumbing, mechanical utilities, generators, environmental controls, and related infrastructure.
• Inspect facility systems and equipment to identify maintenance needs, operational risks, or abnormal conditions and escalate issues when required.
• Make repairs directly when possible and coordinate specialized contractors or vendors when complex repairs are needed.
• Work independently with minimal supervision while handling complex maintenance tasks requiring strong technical judgment.
• Maintain accurate maintenance records, including work orders, equipment logs, inventory tracking, and compliance-related documentation.
• Support calibration activities and equipment reliability programs as needed.
• Ensure compliance with all safety regulations, facility procedures, and applicable GMP or regulatory standards.
• Provide technical support, guidance, or mentoring to junior technicians as required.
• Collaborate with cross-functional partners including Laboratory Operations, Engineering, Quality, Safety, and other stakeholders to support continuous facility operations.
• Identify and recommend improvements, upgrades, or cost-effective solutions that enhance system reliability, energy efficiency, or facility performance.
• Perform additional duties as assigned.

QUALIFICATIONS AND REQUIREMENTS

Education

• High school diploma required; technical trade school certifications or equivalent field experience considered.
• Registered apprenticeship, trade license (electrical, plumbing, HVAC, pipefitting, wastewater, steam engineering, marine engineering), or equivalent technical training strongly preferred.

Experience

• 5–10 years of relevant experience in facility maintenance, utilities support, or mechanical/electrical building systems.
• Experience in regulated environments such as cGMP biotech, pharmaceutical, or laboratory operations preferred.

Knowledge, Skills, and Abilities

• Strong technical skills in HVAC, electrical, plumbing, mechanical systems, and building utilities.
• Ability to troubleshoot and resolve complex facilities issues independently.
• Proficient in reading schematics, blueprints, technical manuals, loop diagrams, and P\&IDs.
• Familiarity with Building Management Systems and Computerized Maintenance Management Systems (CMMS).
• Effective communication and customer service skills.
• Ability to perform physical labor and work across multiple facility environments.

ESSENTIAL FUNCTIONS: 

Physical Demands: 

The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. 

Work Environment: 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. 

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company-paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere.” However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

The expected salary range for this position is $43 to $50 hourly. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.

Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time. 

LEGAL STATEMENT:
 
Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer. 

ESSENTIAL JOB FUNCTIONS:

The Senior Director, Medical & Regulatory Writing serves as subject matter expert on clinical protocols, protocol amendments, clinical study reports, Investigator’s Brochures, and briefing books. May also provide guidance on document strategy for more complex dossiers for regulatory submission such as IND and NDA/BLA filings. This role leads and is accountable for the Medical Writing and Clinical Trial Transparency & Disclosure functions. The position requires the ability to work collaboratively with cross-functional teams in a fast-paced environment. The qualified candidate will also have experience in management of external vendors and the development of operational process improvements such as work practice documents, SOP development and updates, and document templates. There will need to be a very strong understanding of document timelines as planning is critical.

• Provides leadership, strategy, and oversight of the Medical & Regulatory Writing team.
• Serves as subject matter expert in preparing clinical regulatory documents through all phases clinical research.
• Represent medical writing in cross-functional team meetings.
• Collaborate with department heads and staff members of cross-functional groups, including clinical research, clinical operations, data management, biostatistics, regulatory affairs, and medical affairs as necessary to deliver documents with high quality on time.
• Adhere to established regulatory standards, including ICH-E3 guidelines and company SOPs.
• Support the development, improvement and maintenance of medical writing work practice documents, SOPs, and document templates to ensure consistency and efficiency.
• Oversight of vendors including contract writers, QC reviewers, and document formatters.
• Must have proficiency in the use of EndNote or RightFind Cite It software for the citation of literature references and creation of list of references in Word documents.
• Maintain current knowledge of industry trends and best practices for medical writing
• Performs other duties as assigned

JOB SPECIFICATIONS:

• Bachelor’s, Master’s or PhD Degree in scientific, medical, clinical discipline or related field is required. Masters or Ph.D. degree is preferred.
• Strong track record of people management and delegating work.
• 12+ years of relevant industry experience as a medical writer in a pharmaceutical, biotech, or CRO environment. Oncology experience preferred.
• Must have experience authoring clinical study reports, protocols, protocol amendments, Investigator’s Brochure. Experience authoring and managing briefing books is a plus.
• Experience in regulatory submissions (clinical study reports) presented to regulatory authorities a plus
• Strong understanding of federal regulations, Good Clinical Practices, and ICH guidelines a plus
• Project management skills as related to medical writing.
• Ability to manage complex writing projects with minimal supervision.
• Must have the ability to edit text for brevity and clarity.
• Ability to understand, interpret and present complex clinical data.
• Must be highly detail oriented.
• Ability to coordinate multiple documents while effectively managing timelines.
• High degree of independence in decision making and problem solving.
• Leads decision-making across multiple programs or areas, setting direction and making strategic trade-offs that impact cross-functional execution and outcomes.
• Drives cross-functional alignment across multiple programs, influencing stakeholders to shape strategy and ensure cohesive execution across functions.
• Understanding of FDA and ICH regulations and guidelines.
• Familiarity with eCTD-compliant templates and with the use of document formatting tools such as ISI writer, Liquent Smart Desk, Acumen Stylus, or other formatting tools.
• Must be an expert with MS Word and have a solid working knowledge of MS Excel, MS PowerPoint, and MS Project.
• Experience in use of an EDMS such as Documentum, Core Dossier, or Veeva.

The base range for this role at the Senior Director level is $265,000 - $306,000 per year. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location, and relevant education or training. Kura's compensation package also includes generous benefits, equity, and participation in an annual target bonus.

#LI-RM1

Please note that this position is based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary:

Primary Responsibilities:

Data Analytics & Reporting

• Lead and mature the organization’s healthcare compliance data analytics and monitoring program, ensuring scalability, sustainability, and alignment with regulatory expectations.
• Design, develop, and maintain dashboards and analytical reporting using tools such as, Power BI and Excel to identify trends, anomalies, and compliance risk areas.
• Analyze data from key compliance systems and sources (e.g., expense reporting, HCP interactions, samples activity, state filings, and field monitoring) to support proactive risk detection and remediation.
• Partner with Compliance, Legal, Finance, and Commercial stakeholders to translate analytical insights into clear, actionable recommendations for leadership.
• Leverage analytics to support investigations and root‑cause analysis, including pattern identification, scoping, and validation of investigative findings.
• Continuously enhance data‑driven monitoring methodologies, helping to internalize analytics capabilities and strengthen overall compliance risk prioritization and training efforts.

Auditing & Monitoring

• Develop and execute the annual healthcare compliance and privacy audit and monitoring plan (U.S. and Global).
• Maintain and update monitoring documentation, workpapers, audit tools, remediation plans, and reporting templates.
• Collaborate with stakeholders across Legal, Medical, Commercial, and Finance to gather relevant data, validate findings, and drive remediation.
• Track, trend, and escalate monitoring results and areas of concern to leadership in a timely manner.
• Utilize company data sources such as email, Teams, Concur expenses, medical inquiries, samples inventory, Veeva, Elevator, and other relevant platforms.
• Apply relevant standards and regulations, including Code of Conduct, Compliance Roadmap, Employee Handbook, travel and expense SOP, internal policies, and applicable healthcare compliance and data privacy laws.

Investigations Support

• Support intake, triage, and documentation of compliance and employee relations concerns received through monitoring activities, hotline, or other reporting channels.
• Assist in fact-finding, document review, interview coordination, and root cause analysis during internal investigations.
• Maintain investigation logs, outcome documentation, and remediation tracking consistent with company policies and legal requirements.
• Ensure confidentiality, accuracy, and consistency in all investigative processes and outcomes.

Qualifications:

• Bachelor’s degree in business, compliance, healthcare, law, or related field.
• 5+ years of experience in compliance, auditing, monitoring, or investigations within the pharmaceutical, biotech, or healthcare industry.
• Strong understanding of healthcare compliance laws and regulations (e.g., Anti-Kickback Statute, False Claims Act, GDPR, HIPAA).
• Experience working with monitoring and audit tools, systems, and data sources (Concur, Veeva, expense reporting, etc.).
• Excellent analytical, organizational, and communication skills.
• Ability to handle sensitive information with discretion and maintain strict confidentiality.
• Experience in both U.S. and ex-U.S. regulatory environments.
• Background in data analytics or forensics applied to compliance monitoring.
• Prior experience supporting or leading investigations in a corporate setting.

Competencies:

• Analytical Mindset: Ability to interpret data, identify trends, and assess risk.
• Collaboration: Works effectively with cross-functional teams and external partners.
• Ethical Judgment: Applies integrity and fairness in decision-making.
• Communication: Clear and concise reporting to senior leadership.
• Adaptability: Able to navigate changing regulatory landscapes and business priorities.

Physical Requirements:

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID 

Please note that this position is based in San Diego, CA. Acadia's hybrid model requires this role to work in our office on average three days per week.

Position Summary:

In this role, you'll lead the strategy, design, governance, and execution of Acadia’s U.S., Canada, and select global benefits, leave, retirement, wellness, and relocation programs. The role plays a key part in ensuring that all programs are competitive, compliant, financially sustainable, and aligned with Acadia’s talent and culture strategy, while delivering a high-quality employee experience. You'll partners closely with People Business Partners (“PBPs”), HRIS, Payroll, Legal, Finance, Talent Acquisition, and external vendors to ensure operational excellence, regulatory compliance, and continuous improvement across the employee lifecycle.

Primary Responsibilities:

Benefits Strategy & Program Design

• Lead the strategic design, evaluation, and evolution of U.S. and Canada health & welfare, retirement, wellness, leave, and relocation programs to support talent attraction, retention, and engagement
• Ensure benefit offerings remain competitive, compliant, cost‑effective, and aligned with company values and business priorities
• Contribute to the long‑term People & Performance roadmap, including systems, vendor strategy, and program scalability

Benefits Operations & Administration

• Oversee day‑to‑day administration and vendor management for:
  • Health and welfare plans
  • 401(k) and Canada RRSP plans
  • Leaves of absence and disability programs
  • COBRA administration
  • Wellness initiatives and funding
  • Relocation program administration
• Ensure accurate enrollment, eligibility management, premium deductions, vendor billings, and reconciliations
• Own and optimize the Benefits Enrollment via HRIS, ensuring data integrity, testing, reporting accuracy, and positive end‑user experience
• Partner with HRIS, Payroll, and vendors to ensure seamless integrations across systems and processes

Compliance & Risk Management

• Ensure compliance with all applicable U.S. Federal, State, Local, and Canadian health, welfare, leave, and retirement regulations
• Oversee timely completion of all required filings and reporting, including but not limited to:
  • Form 5500 filings
  • ACA reporting
  • PCORI
  • State required filings
  • Required employee notices and disclosures
• Maintain all plan documentation (plan documents, amendments, SPDs) and ensure ERISA and statutory compliance
• Serve as a key partner to Legal on benefits‑related compliance, risk, and audit matters

Leave of Absence, ADA & Employee Support

• Provide strategic oversight of all leave of absence programs (U.S. and Canada), ensuring compliance with statutory requirements and Acadia policy
• Administer and ensure compliance with the ADA interactive process; partner with managers, People Business Partners, Legal, and leadership on accommodation decisions
• Oversee the Acadia Parental Leave Pay (PLP) program, including employee guidance, payroll coordination, and payment accuracy
• Serve as a subject‑matter expert for escalated employee, manager, and PBP inquiries related to benefits, leaves, and accommodations

Wellness & Financial Well‑Being

• Partner with internal and external stakeholders to design and implement wellness and well‑being programs that support physical, mental, and financial health
• Manage the annual Cigna Wellness Fund, including budgeting, governance, and utilization reporting
• Collaborate with Finance and vendors on cost tracking, trend analysis, and long‑term benefit cost projections

Communication & Change Enablement

• Lead the development of clear, engaging, and compliant employee communications related to benefits, open enrollment, and program changes
• Partner with vendors and the Engagement Team to deliver multi‑channel communications and education
• Oversee benefits content in new hire orientation, benefits websites, and internal communication platforms

Education, Experience & Skills

Required Qualifications

• Bachelor’s degree in Human Resources, Business Administration, or related field (or equivalent experience)
• Minimum 10 years of progressive benefits experience, including 5–6 years in a leadership or management capacity
• Strong experience administering and governing:
  • Health & welfare programs
  • 401(k) and/or retirement plans
  • Leaves of absence and disability programs
  • ACA and government reporting requirements

Preferred Qualifications

• Experience in biotech, pharmaceutical, or high‑growth technology environments
• International and multi‑country benefits experience
• Deep knowledge of California and multi‑state leave regulations
• Demonstrated ability to partner with executive leaders and navigate complex employee relations issues

Core Skills

• Strategic thinking paired with strong operational execution
• Vendor and systems management expertise
• Financial and analytical acumen related to benefit costs and trends
• Exceptional collaboration, judgment, and discretion with sensitive matters
• Strong communication and change management capabilities
• Proficiency with Microsoft Office and enterprise HR systems
• Oversees the strategic design, development, and implementation of U.S and Global health and welfare plan program and modification, as necessary, to ensure benefit plans are competitive, compliant, and meet service level standards

Physical Requirements:

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs. 

#LI-HYBRID #LI-CT1

Seeking talent near: Princeton, NJ : San Diego, CA

Position Summary:

The Associate Director, Business Development will work collaboratively with a variety of company functions including External Innovation (Acadia’s R&D Search and Evaluation team), Commercial, and Finance as well as external resources to review, landscape, identify and evaluate external assets to support and enhance the Acadia portfolio.  We are seeking an individual with strong analytical and evaluation skills including data gathering and analysis, financial modeling experience and related analysis, competitive intelligence and scientific/commercial analysis of companies and programs in the pharmaceutical and biotech industry, as well as experience with BD transactions.  The person in this role must have experience in identifying and analyzing the value of companies and programs within the pharmaceutical industry, building a business case for potential BD opportunities, and working with Executive management to implement corporate Business Development (BD) strategies. 

Primary Responsibilities:

• Conducts extensive searches using industry resources to identify and evaluate potential BD opportunities.
• Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.
• Develop a solid business case and provide other general support for BD transactions including scientific, commercial and financial considerations.
• Conducts search efforts to identify business development acquisition or in-licensing opportunities.
• Role supports and coordinates activities related to the search, identification, competitive intelligence, and business case for potential transactions, working with the External Innovation and Commercial teams who lead the scientific and commercial assessments, which are incorporated into the overall deal package by BD.
• Performs in-depth evaluations, interpreting competitive landscape and analysis of financial data.
• Develops and manages complex revenue & cash flow NPV models and assist in production and testing assumptions related to overall commercial opportunity modeling (e.g., future markets, product performance, customers & compliance and competitors). Works with Finance to create forecasting and deal evaluation models.
• Maintains awareness and knowledge of product strategy to assess fit of potential candidates.
• Stays abreast of emerging healthcare & pharmaceutical industry trends and assess their potential impact on business strategies.

Education/Experience/Skills:

Targeting a minimum of 5 years of progressively responsible experience within consulting, venture capital or investment banking with a focus on valuation of and strategic transactions related to of therapeutics/companies in the pharmaceutical or biotech industry. M.D., advanced degree in a relevant scientific discipline (e.g., Ph.D.), or an MBA or functional equivalent, is required. Experience in the rare disease and CNS space. A combination of relevant education and applicable job experience may be considered.

Must possess:

• Scientific knowledge of industry sub-segments of CNS, Neurology or Orphan/Rare disease as well as industry functional areas of R&D, Clinical Development and Commercial/New Product Planning.
• Extensive experience developing and using Excel-based models including working on/developing complex financial models.
• Experience in competitive analysis, market research and analysis, and new product development needed.
• Expertise with Microsoft Office applications (Word, Excel, PowerPoint) with a strong focus on PowerPoint presentation skills
• Excellent analytical abilities: ability to draw conclusions and present recommendations on a variety of data.
• Ability to create and deliver influential large scale project communications with clarity, confidence and enthusiasm.
• Demonstrated ability to manage projects and time with multiple commitments/projects simultaneously.
• Superior written / verbal communication, organizational and analytical skills
• Critical thinking skills with the ability to get to the right level of granularity to balance speed of execution and facilitate optimal decision-making by executive management.
• Excellent financial analysis and research skills and ability to translate analyses into sound strategic recommendations.
• Ability to work in a results-oriented, project-driven, real-time team environment, prioritize projects and deliver quality results within tight time constraints.
• Ability to think strategically as well as to act tactically.
• Excellent database skills.
• Ability to travel.

Physical Requirements:

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication both in a standard office environment and while working independently from remote locations. Employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedule or business needs.

Please note that this position is based in San Diego, CA. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Associate Director will collaborate with the Clinical Data Management team by providing leadership and knowledge.  Assists the head of Data Management in directing the design, documentation, testing and implementation of clinical data collection studies, and clinical database reviews in support of company objectives.  Ensures that the data management systems are business ready and of appropriate quality to fulfill those objectives.  Focuses on the oversight of quality data deliverables within Acadia Data Management and projects with Contract Research Organizations (CROs).

Primary Responsibilities

• Participates in the collaboration and coordination with others to design and implement clinical protocols and data collection systems.
• Assists in identifying and resolving data management issues on assigned studies.
• Responsible for ensuring data management timelines are met within assigned studies, in-house or outsourced.
• Provides strategic input into protocol design focused on data management portions.
• May assist Biostatistics in development/review of Statistical Analysis Plans.
• Reviews and resolves data discrepancies for standardized data validation systems and procedures, when applicable.
• Supports data management requirements and deliverables for New Drug Application (NDA)/Marketing Authorisation Application (MAA), including integrated databases. 
• Aids in production of quality data deliverables to support regulatory submissions, publications and due diligence activities.
• Reviews clinical, regulatory and other documents, as needed, to assure data integrity and quality.
• Oversees projects that have been engaged with CROs, as well leads and manages internal projects.
• Oversees and manages final data management electronic Trial Master File (eTMF) for assigned studies.
• Assists with the development of standards and process documentation, including Standard Operating Procedures and Work Instructions.
• Assures compliance with industry quality standards, guidelines and procedures.
• Assists in the selection and evaluation of new personnel to ensure the efficient operation of the function.
• May assist in the career development of Data Management personnel.  Position may have direct reports. May assist with input into corporate and department budget process and management.
• Other responsibilities as assigned.

Education and Experience

• Bachelor’s degree in Life Sciences, Mathematics or related field.  Targeting 8 years of progressively responsible experience within the pharmaceutical, biotech or CRO industry.  An equivalent combination of relevant education and experience may be considered.
• Previous experience in data management from protocol concept through database lock and clinical study report finalization.
• Knowledge of medical terminology.
• Knowledge of coding dictionaries (Medical Dictionary for Regulatory Activities -MedDRA, WHO Drug)
• Excellent verbal and written communication skills as well as interpersonal and organizational skills
• Proficiency in MS Office applications.
• Proficiency with data management systems and supporting statistical programs (e.g., SAS),
• Knowledge of database design and database concepts.
• Skilled at cross-functional/department communications to gain cooperation of others.
• Proven skill at effectively leading a cooperative team effort and organizing resources to achieve team goals.
• Able to make and prioritize process and resource decisions based on overall team needs.
• Must be able and willing to travel on occasion.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #LI-SL1

Please note that this position can be based in San Diego, CA OR San Francisco, CA OR Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Associate Director will be responsible for the oversight of Translational Science preclinical safety assessment/toxicology deliverables, with a clear understanding of functional interdependence and critical path activities. The role will contribute to the research and/or development of the products, projects, and programs in support of the pipeline.  Collaborate cross‑functionally to conduct basic research and development, including designing and overseeing preclinical safety and toxicology studies in support of diverse projects and long-term company objectives.  Ensure timely and effective communication of project status and issues to drive alignment and successful completion of team goals and deliverables.

Primary Responsibilities

• Plans experimental safety assessment/toxicology programs to include design, logistics, resource allocation, schedules. Identifies critical support needs, and other necessary details to implement the program(s).

• Provides oversight on scientific management of preclinical safety assessment/toxicology studies supporting early drug development spanning lead optimization through IND and NDA submissions and nonclinical post marketing approval requirements.

• Monitors CROs for quality and compliance in the conduct of preclinical safety assessment/toxicology studies.

• Manages vendors and consultants, encompassing study design, detailed coordination of study execution, overview of quality compliance, and scientific rigor.

• Reviews and contributes to preparation of toxicology reports.

• Maintains oversight of test compound delivery, shipment and supply requirements.

• Works cross functionally on projects including an understanding of when broader discussion is required and the organization ad hoc working groups as needed to move project activities forward.

• Communicates project status and proactively identifies issues to ensure that project team goals and regulatory deliverables are met.

• Provides guidance to team members to objectively assess and resolve preclinical safety assessment/toxicology project issues to improve project effectiveness.

• Other duties as assigned.

Education/Experience/Skills

BS or MS in a relevant discipline or a related field. Targeting 8 years of relevant experience in pre-clinical safety assessment/toxicology supporting drug development within the pharmaceutical or biotech industry.  DABT Certification strongly preferred. An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Understanding of the drug development process and the principles, concepts, practices, and standards of executing preclinical safety assessment/toxicology strategies.

• Knowledge in the tools and procedures of preclinical safety assessment/toxicology experimentation, including the various experimental designs, statistical tools of data analyses, software applications available for data manipulation and presentation, and instrumentation pertinent to the research and ability to evaluate the advantages and disadvantages of each, in terms of applicability to the research at hand.

• Knowledge of the preclinical study types necessary during drug development, including acute and chronic toxicology, safety pharmacology, developmental and reproductive toxicology, genotoxicity and carcinogenicity.

• Experience working in cross-functional project teams and in a semi-virtual environment including CROs and academic collaborations.

• Study monitoring experience on Good Laboratory Practices (GLP) safety assessment/toxicology studies at CROs.

• Experience in the composition and review of preclinical safety assessment/toxicology reports with respect to accuracy, quality and compliance.

• Knowledge and understanding of GLP, ICH and FDA guidance, and other relevant regulations and guidelines.

• Demonstrated skills and abilities in influencing, facilitation, development, and problem solving. Ability to elicit cooperation from a wide variety of sources and to be influential, encouraging and motivating.

• Excellent communication, presentation, consultative, partnership, and interpersonal skills. Self-motivated and able to work with limited supervision. 

• Ability to learn, understand and apply new technologies, strategies and approaches that enhance the team’s ability to achieve goals and meet timelines/deliverables.

• Must be able and willing to travel as needed.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#transmed

#LI-Hybrid #LI-SL1

Please note that this position is based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Director of Drug Safety & Pharmacovigilance is a medical safety expert within the Drug Safety & Pharmacovigilance (PV) function, reporting to the Executive Director of Medical Safety. This role serves as the primary medical safety resource for assigned products across the Acadia portfolio, providing hands-on medical evaluation of safety data, signal detection and assessment, and clinical oversight of pharmacovigilance activities throughout the product lifecycle. The Director contributes product-level medical input to cross-functional safety governance, collaborates with the Executive Director of Medical Safety on complex or escalated safety issues, and supports regulatory submissions and health authority interactions for assigned products. 

Primary Responsibilities

• Serves as the primary medical safety resource for assigned Acadia products, providing product-level clinical safety and pharmacovigilance expertise across all stages of development and post-marketing surveillance
• Performs medical evaluation and interpretation of aggregate safety data for assigned products, including signal detection and evaluation, ad hoc safety assessments, and benefit-risk analyses; escalates complex or novel safety issues appropriately
• Assesses safety signals and trends for assigned products and proactively manages potential safety issues in collaboration with cross-functional stakeholders
• Contributes product-level medical input to the Medical Safety team and other cross-functional safety governance bodies
• Performs medical review of all serious adverse events from Acadia clinical trials for assigned products
• Performs retrospective medical review of adverse events for post-marketed products
• Authors Analysis of Similar Events (AOSE) and individual case narratives and comments for ICSRs for assigned products
• Provides oversight for the safety aspects of clinical studies for assigned products, including development and maintenance of product-specific core safety information
• Reviews and approves safety sections of clinical documents for assigned products, including protocols, DSURs, final study reports, and other documents as required
• Formulates response strategies and authors health authority responses for safety-related queries pertaining to assigned products, in collaboration with the Head of Medical Safety
• Provides medical input into Periodic Benefit Risk Evaluation Reports (PBRERs) for assigned products, including clinical interpretation of safety data
• Provides medical and scientific input into Risk Management Plans (RMPs/dRMPs) and REMS programs for assigned products
• Ensures all PV Medical Safety activities for assigned products are performed in compliance with applicable regulations and Acadia standards
• Maintains current knowledge of global regulatory authority regulations and guidance
• Other responsibilities as assigned

Education/Experience/Skills

• MD (Doctor of Medicine) or equivalent medical degree from an accredited institution, with relevant postgraduate clinical training and experience; candidates who are eligible for U.S. medical board certification are preferred. MPH or pharmacoepidemiology training is a plus. 
• 6 to 7 years of relevant drug safety experience, including expertise in safety signal management (signal detection, evaluation, aggregate data review, ICSRs), preferably in a pharmaceutical or biotech environment.  
• Neurology, psychiatry, rare disease, or CNS-related therapeutic area experience strongly preferred
• Advanced knowledge of FDA, EU, and ICH regulations and guidelines related to pharmacovigilance, including clinical trial safety monitoring, post-marketing surveillance, ICSR processing, aggregate reporting, and health authority reporting requirements
• Ability to assess product benefit-risk profiles and interpret clinical and post-market safety data
• Demonstrated expertise in safety signal detection methodologies and medical evaluation of aggregate safety databases
• Ability to author and critically review regulatory safety documents (DSURs, PBRER safety sections, health authority responses)
• Strong analytical and critical decision-making skills; ability to manage competing priorities and meet deadlines with minimal oversight
• Experience with pharmacovigilance safety databases (Argus) and signal detection tools
• Familiarity with pharmacoepidemiology concepts and study design
• Excellent interpersonal, written, and oral communication skills; ability to effectively communicate complex safety findings to internal and external stakeholders
• Proficiency in MS Office Suite (Word, PowerPoint, Excel)
• Ability to manage multiple priorities and work cross-functionally in a fast-paced environment
• Must be willing and able to travel both domestically and internationally

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID 

Please note that this position is based in Princeton, NJ or San Diego, CA. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary:

The Director, Marketing will contribute to the development of the overall Consumer strategy of the brand while leading the management and execution of marketing tactics, plans and activities to promote the brand to caregivers. This role is responsible for shaping patient and caregiver messaging across channels, including direct-to-consumer (DTC) television advertising and educational materials, while ensuring alignment with brand strategy, regulatory standards, and patient-centric principles. The Director will deliver impactful communications that meaningfully engage the caregiver community, and will play a key leadership role within the consumer marketing team. This role will partner across key stakeholders (advocacy, medical affairs, regulatory, legal, compliance, patient services, market access, marketing operations, training, sales, etc.) to execute the programs and tactics identified in the brand plan.

Primary Responsibilities:

• Lead the development and execution of consumer and caregiver marketing initiatives, including core messaging, direct-to-consumer (DTC) television advertising, and educational materials designed to inform, support, and empower families within the Rett community.
• Oversee the caregiver speaker program, including speaker identification, onboarding, and management; development of compliant, engaging speaker content; and ongoing evaluation and optimization of program effectiveness.
• Ensure caregiver speaker materials and presentations are scientifically accurate, compliant, and aligned with brand strategy, with a strong emphasis on clarity, empathy, and patient- and caregiver-focused storytelling.
• Serve as the primary marketing liaison to the Family Support Educator (FSE) team, ensuring alignment between consumer marketing initiatives and field-based educational efforts to deliver a cohesive and consistent caregiver experience.
• Directs the development of strategic marketing programs for inclusion into brand plan, determines metrics for program success, and evaluates performance against metrics including contributions to the development and evolution of message strategy based upon in-depth analytics and ROI analysis. Manages within the established the US promotions budget for assigned products.
• Represents the department as a member of cross-functional project teams providing guidance, insight, and recommendations relative to the goals and objectives of the Marketing function to ensure strategic alignment medical education messaging across groups.
• Monitors and ensures that all Medical Legal Review (MLR) processes are followed, and all programs are compliant with legal guidance and corporate policies.
• Implements the brand strategy for products and product lines. Develops and delivers presentations as needed to commercial management and other internal groups. Monitors progress of plans and recommends adjustments, as necessary.
• Develops and maintains strong external relationships with Advocacy groups, physician speakers and Rett caregivers and families.
• Mentor and develop junior team members by providing clear direction, coaching, and constructive feedback, fostering strong marketing fundamentals, professional growth, and a collaborative, high-performing team culture.Lead day-to-day collaboration with the advertising agency of record, providing strategic direction and hands-on oversight across creative development and execution to ensure consumer-facing campaigns are aligned with brand strategy, patient-centric principles, timelines, and budget.

Education & Experience:

• Bachelor’s degree in marketing, health care, life science; master’s degree preferred.
• Targeting 10+ years of progressively responsible experience in pharmaceutical or biotech Marketing.
• 5+ years in a product manager role strongly desired.
• Launch experience and commercialization of new products preferred.

Required Skills:

• Rare Disease experience is highly desirable, with requirement of understanding specialty therapeutics addressing significant unmet medical needs.
• Strong Biopharmaceutical brand management experience and demonstrated track record of success.
• Proficient in marketing and media tactics directed towards HCPs and caregivers.
• Proficient at effectively prioritizing goals and coordinating resources to achieve those goals.
• Demonstrated ability to interface/collaborate with other departments as necessary to achieve goals.
• Significant travel required; ability to travel up to 50% of time during peak launch time periods.

Physical Requirements:

While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment and independently from remote locations. Employee must occasionally lift and/or move up to 20 pounds. Ability to travel by car or airplane independently overnight up to 25% of the time and work after hours if required by travel schedule or business issues.

#LI-SM1 #LI-HYBRID

Please note that this position can be based in San Diego, CA OR San Francisco, CA OR Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

Responsible for the oversight of Translational Medicine preclinical safety assessment/toxicology deliverables, with a clear understanding of functional interdependencies and critical path activities.  The role will contribute to the research and/or development of the products, projects, and programs in support of the pipeline. Conducts and collaborates with others on basic research and development including preclinical safety assessment/toxicology studies supporting various projects relevant to long-term objectives of the company. Conducts and collaborates with others on basic research and development including designing and monitoring preclinical safety assessment/toxicology studies supporting various projects relevant to long-term objectives of the company. Responsible for the communication of project status and issues and develops strategies to ensure project team goals and deliverables are met.

Primary Responsibilities

• Plans experimental safety assessment/toxicology programs to include design, logistics, resource allocation, schedules.  Identifies critical support needs, and other necessary details to implement the program(s).

• Provides oversight on scientific management of preclinical safety assessment/toxicology studies supporting early drug development spanning lead optimization through IND and NDA submissions and nonclinical post marketing approval requirements.

• Monitors CROs for quality and compliance in the conduct of preclinical safety assessment/toxicology studies.

• Manages vendors and consultants to complete Translational Medicine safety assessment/toxicology studies for the various programs.

• Responsible for preparation and review of reports and regulatory documents for IND and NDA submissions. Explore innovative approaches to enhance efficiency of toxicology evaluations.

• Supports business development related nonclinical Tox/ADME assessments and due diligence projects by assessing available study data and regulatory submissions, identifying gaps, defining additional nonclinical study plans and test compound requirements, and developing overall project timelines and associated budgets.

• Supports Impurity/Degradant safety assessment reviews requested by Chemistry, Manufacturing, and Controls (CMC) groups, involving public domain literature reviews, evaluating structure activity relationships using in silico databases, and competitive intelligence sources.

• Works across functional areas on projects including lleading and participation in team and sub-team meetings and organizing ad hoc working groups as needed to move project activities forward. 

• Communicates project status and issues and ensures project team goals and regulatory deliverables are met. Clearly presents data, interpretation and recommendations to R&D leadership.

• Provides guidance to team members to objectively assess and resolve preclinical safety assessment/toxicology project issues to improve project effectiveness.

• Other duties as assigned.

Education/Experience/Skills

PhD or DVM in a relevant discipline or related field.  Targeting 10 years of relevant experience in pre-clinical safety assessment/toxicology supporting drug development experience within the pharmaceutical or biotech industry.  DABT Certification strongly preferred.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced understanding of the drug development process and the principles, concepts, practices, and standards of executing preclinical safety assessment/toxicology strategies.

• Broad knowledge in the tools and procedures of preclinical safety assessment/toxicology experimentation, including the various experimental designs, statistical tools of data analyses, software applications available for data manipulation and presentation, and instrumentation pertinent to the research. Through a complete understanding of the tools and design methods, able to evaluate the advantages and disadvantages of each, in terms of applicability to the research at hand.

• In depth knowledge of the preclinical study types necessary during drug development, including acute and chronic toxicology, safety pharmacology, developmental and reproductive toxicology, genotoxicity and carcinogenicity.

• Experience managing cross-functional project teams and working in a semi-virtual environment including CROs and academic collaborations.

• Specific direct study monitoring experience on Good Laboratory Practices (GLP) safety assessment/toxicology studies at CROs.

• Experience in the composition and review of preclinical safety assessment/toxicology reports with respect to accuracy, quality and compliance.

• Knowledge and understanding of GLP, ICH and FDA guidance, and other relevant regulations and guidelines.

• Demonstrated skills and abilities in leading teams and sub-teams, coaching, influencing, facilitation, development, and problem solving. Passion for science and teamwork with self-motivation and ability to work with limited supervision.

• Excellent communication, presentation, consultative, partnership, and interpersonal skills. Ability to elicit cooperation from a wide variety of sources and to be persuasive, encouraging and motivating.

• Ability to learn, understand and apply new technologies, strategies and approaches that enhance the team’s ability to achieve goals and meet timelines/deliverables.

• Willing and able to travel as needed.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#transmed

#LI-Hybrid #LI-SL1

Please note that this position can be based in San Diego, CA OR San Francisco, CA OR Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Director will lead Translational Sciences operations to support nonclinical, toxicology, and pharmacology/pharmacometrics clinical functions.  The role will own and manage systems to facilitate clinical and nonclinical activities within the Translational Science department including internal and external vendor and contract management, oversight and due diligence of agreements, management and oversight of budgets and timelines. Interfacing with internal and external stakeholders is central to the role to ensure smooth and timely operational execution across Acadia programs.

Primary Responsibilities

• Oversees the operational management of Translational Science project activities, partnering with functional representatives to ensure delivery to plan and budget and in accordance to Program Team plans/commitments

• Provides Translational Science team cross-functional project support to ensure seamless progress of activities across programs and with adjacent functions (CMC, Clinical Development)

• Identifies and manages vendors and consultants needed to complete Translational Science studies, including associated contracts and budgets. Key partner for Finance, Legal, Vendor Management and Project Management Functions

• Provides guidance to team members to objectively assess and resolve operational project issues to improve project effectiveness

• Owner of operational Translational Science group meetings to ensure budgetary compliance across programs and co-ordination with CMC to ensure compound supply is met for seamless program progression

• Partners with Head of Translational Sciences to maximize group efficiency and coordination, anticipating potential hurdles and developing mitigation strategies

• Other responsibilities as assigned

Education/Experience/Skills

Bachelor’s degree in life sciences or a related field.  Targeting 10 years of progressively responsible experience in project operations and/or project management, preferably supporting early‑stage drug development. Experience managing team resources, budgets, and external vendors or consultants., preferably in a pharmaceutical or biotech environment.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Experience managing cross-functional project activities and deliverables across complex programs

• Strong understanding of the drug development process, including pharmaceutical project management principles and GxP regulations (GLP, GCP, and related guidelines)

• Deep experience managing operational aspects of early-stage drug development, including academic and CRO-based contracts, timelines, and execution

• Demonstrated operational management of Toxicology and Clinical Pharmacology activities

• Proven experience overseeing vendors and consultants, including performance and deliverables management

• Ability to manage multiple priorities in a fast-paced, cross-functional environment

• Demonstrated experience in budget and resource planning, tracking, and management

• Strong interpersonal, negotiation, and problem-solving skills, with the ability to work effectively with business partners and leadership

• Advanced proficiency in Microsoft Project, Word, Excel, and reporting/tracking tools; ability to lead management of Translational Sciences systems and represent the function across tools

• Self-motivated team player who thrives in dynamic environments, with willingness to travel domestically and internationally

   

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI #SL-1

Please note that this position can be based in San Diego, CA OR San Francisco, CA OR Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Executive Director will lead the design and implementation of disease and drug mechanism of action (MoA) studies to advance therapeutics into and through clinical development. The position requires deep experience in translational sciences, proven leadership and mentoring skills, hands-on rare disease experience, strong understanding of clinical biomarker development, and a deep understanding of drug development from discovery through late-stage clinical studies.  The ability to synthesize complex biological concepts and data into clearly communicated actionable insights is critical, as is a track record of successful partnering with functions across the drug development paradigm. 

Primary Responsibilities

• Develop translational biology strategies to interrogate disease and drug MoA, implement and drive execution for candidate targets and therapeutics

• Lead nonclinical sciences function, mentor scientists across translational sciences

• Partners with colleagues across the drug development paradigm to develop and test hypotheses designed to advance target and candidate molecule evaluation through various stages of development

• Partner with Translational Science colleagues to develop preclinical strategies supporting indication selection, PK/PD analyses, and mechanistic development for successful IND filing and clinical development

• Synthesize, analyze and integrate complex biological data, providing clear and actionable insights to drive drug development decisions

• Identify, evaluate and leverage cutting-edge technologies to expedite early-stage program development & success

• Identify and manage CROs and build strong collaborative relationships with Acadia partners to maximize the application of complementary areas of expertise

• Present programs and data for asset team, governance and senior / executive management review

• Contribute, as author and strategist, to document generation for preclinical studies & clinical protocols, clinical study reports, statistical analysis plans, research partnerships, regulatory materials (IB, IND, NDA, etc.) and publications

• Perform other responsibilities as assigned

Education/Experience/Skills

PhD in life science or related field.  Targeting 15 years of progressively responsible experience in drug development within the pharmaceutical or biotech industry.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Strong cross-functional leadership with a proven ability to build collaborative, high-performing teams and represent nonclinical sciences across Translational Sciences and program teams
  
  
• Hands-on experience across drug discovery, preclinical development, and clinical-stage programs (Phase 1–3), including rare disease
  
  
• Demonstrated success leading programs through IND filing, with deep expertise in small molecule INDs and regulatory submissions (IND, NDA, BLA)
  
  
• Expertise in preclinical  (MoA) analysis, indication selection, and supporting clinical development strategies
  
  
• Strong understanding of clinical biomarker strategy and development
  
  
• Ability to analyze complex, multifactorial datasets, with computational literacy and collaboration with computational biology; bioinformatics integration experience is a plus
  
  
• Effective communicator with high emotional intelligence; skilled in presenting complex data to senior leadership and influencing stakeholders
  
  
• Proven ability to make decisions under uncertainty, aligning with timelines and organizational objectives
  
  
• Track record of driving performance through goal-setting, accountability, continuous improvement, and leading change across teams
  
  
• Able to manage multiple priorities in fast-paced environments, with flexibility for domestic and international travel; experience in neurology and across modalities (e.g., ASO, mRNA) is a plus

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

LI #SL-1

Please note that this position can be based in Princeton, NJ, San Diego, CA, or San Francisco, CA. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Sr. Director, Commercial Advanced Analytics & Data Strategy is a strategic leadership role responsible for defining, building, and scaling the analytics capabilities, data strategy, and governance frameworks that enable commercial decision-making across the organization. This role ensures that high quality data, advanced analytics, and AI enabled insights are seamlessly integrated into commercial strategy, planning, launch execution, and in market optimization.  The Sr. Director serves as a strategic partner cross-functionally, translating business priorities into scalable analytics products and platforms while ensuring governance, compliance, and measurable business impact.

Over time, this role will build and mature commercial advanced analytics and data capabilities, establish fit‑for‑purpose operating models, and define future talent and capability needs to support the evolving business. The role will work closely with Acadia’s AI team, which provides shared AI expertise across Commercial and R&D, as well as with IT teams responsible for enterprise data, infrastructure, and platform enablement.

Primary Responsibilities

Commercial Analytics Strategy & Leadership

• Partner with Commercial leadership to define the advance analytics vision, strategy and initiatives that enables the development of scalable analytics and decision-support capabilities that drive business outcomes

• Lead and govern advanced analytics projects, predictive analytics, and AI/machine learning solutions  supporting brand strategy, launch planning, patient support, segmentation, targeting, omnichannel optimization, and sales effectiveness.

• Enable AI-driven commercial use cases such as next-best-action, customer engagement optimization, automated forecasting, and scenario planning.

• Balance innovation with rigor by ensuring analytics solutions are interpretable, validated, and compliant with internal and external requirements including privacy laws

• Translate commercial business questions into analytics use cases, models, and decision frameworks.

• Ensure analytics outputs and insights are actionable, adopted, and embedded into commercial planning, existing workflows, processes, systems and demonstrate measurable outcomes.

• Act as a trusted advisor to Commercial leadership, influencing decisions through data-driven insights

• Partner with the Enterprise AI team to identify, prioritize, and scale high-value AI and advanced analytic capabilities, solutions and governance.

Data Strategy, Governance and Cross-Functional Enablement Leadership

• Establish commercial data strategy to support the organization in achieving its business objectives. This includes leading the acquisition, implementation, and evolution of the commercial data assets, including syndicated claims, EMR, prescription, HUB/SP/Partner, promotional, and digital data.

• Partner cross-functionally with Enterprise Data, IT, and infrastructure teams to enable scalable data platforms, data pipelines, and tools that support analytics, AI, and self-service insights.

• Oversee vendor selection and management for data sources, analytics tools, and platforms.

• Establish governance frameworks for data access, analytics validation, and model lifecycle management.

• Collaborate with legal/compliance teams to mitigate risk and ensure compliance with HIPAA, GDPR, CCPA, and internal data privacy and security policies.

• Partner with IT data and infrastructure teams to align commercial analytics needs with enterprise architecture, platform standards, security requirements, and long-term data strategy.

Leadership & Communication

• Serve as a bridge between business stakeholders and technical teams, ensuring clarity of requirements and outcomes.

• Influence senior executives through concise storytelling, visualization, and business impact measurement.

• Build, lead, retain and mentor a high-performing team and capability in support of advanced analytics, data acquisition, and data governance, while fostering a culture of accountability, continuous improvement, and innovation.

• Assess and evolve organizational capabilities, talent, and ways of working needed to scale commercial advanced analytics over time.

• Other responsibilities as assigned.

Education/Experience/Skills

Bachelor’s degree in data science, statistics, engineering, computer science, or a related field; Advanced degree (MS, PhD, or MBA) preferred.  Targeting 12 years of progressively responsible experience in commercial analytics, data science, or data infrastructure data strategy, or related functions, with significant experience in biotech or pharmaceutical organizations.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced analytics, modeling, and visualization tool experience (AI/ML, predictive analytics (Python), SQL, R and PowerBI).

• Experience working with modern data platforms and cloud technologies (e.g., Snowflake, Databricks, DataRobot, Dataiku, AWS, Azure, GCP).

• Deep experience and understanding of commercial datasets, data environments, and data vendors (including Hub, Specialty Pharmacy, patient services, Veeva CRM, syndicated claims, prescriptions, payer, social media/website, Google, Facebook etc.).

• Proven ability to lead cross-functional AI/ML and Analytical initiatives and influence senior stakeholders and to drive adoption of analytic solutions.

• Solid understanding of pharmaceutical commercialization concepts including launches, brand planning, and lifecycle management.

• Demonstrated experience in leading data governance initiatives and processes.

• Demonstrated ability to design and communicate complex systems and analytical solutions to both technical and non-technical audiences, aligning resources and execution to achieve functional and enterprise goals.

• Proven abilities with executive-level communication, data storytelling, and change leadership.

• Demonstrated impact of analytics on commercial strategy, decision making, performance, and ROI.

• Proven ability to lead, coach, and develop talent while building organizational capability in a fast-evolving environment.

• Experience partnering effectively with cross-functional partners and business stakeholders to deliver scalable analytics solutions.

• Ability to balance strategic vision with hands-on prioritization and execution in fast past environment.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #LI-CA1

POSITION OVERVIEW:
We are seeking a Sr. Fill–Finish Process Engineer with strong experience in aseptic pharmaceutical or biologics manufacturing to support the capital project buildout of a new fill–finish suite within a commercial manufacturing facility. The ideal candidate has hands-on expertise in formulation, sterile filtration, aseptic filling, lyophilization, capping, inspection processes, and associated equipment technologies, along with a strong understanding of GMP operations and regulatory expectations. This position partners closely with operations, QA, validation, MS\&T, engineering, and supply chain to ensure robust, compliant, and continuously improving manufacturing performance.

WORK LOCATION:
Travel to client sites may be required up to 100% based on project phase and client needs.

KEY RESPONSIBILITIES:
(This list is not exhaustive and may be adjusted as needed.)

• Support design, construction, installation, and qualification of a new commercial fill–finish suite, including cleanrooms, process utilities, and supporting infrastructure.
• Contribute to user requirement development, equipment specifications, vendor evaluations, and design reviews.
• Support FAT/SAT, commissioning, and qualification activities for fillers, isolators or RABS, lyophilizers, depyrogenation tunnels, autoclaves, CIP/SIP systems, formulation vessels, sterile filtration skids, and inspection machines.
• Conduct field walkdowns, verify installation details, and ensure alignment with drawings, P\&IDs, and GMP requirements.
• Serve as subject matter expert for fill–finish operations including formulation, filtration, filling, lyophilization, capping, and visual inspection.
• Partner with Operations and MS\&T to troubleshoot and resolve technical issues.
• Collaborate with Maintenance and Reliability teams to address equipment performance gaps.
• Support continuous improvement and process optimization initiatives.
• Partner with QA, Validation, and MS\&T to maintain validated state of aseptic manufacturing processes.
• Ensure alignment with regulatory requirements including FDA, EMA, ICH, and Annex 1.
• Support continued process verification (CPV), annual product review (APR/PQR), and ongoing process monitoring.
• Author, review, and approve GMP documentation, including batch records, SOPs, change controls, CAPAs, deviations, and technical reports.
• Generate and maintain engineering lifecycle documentation including impact assessments, URS/FRS documents, FAT/SAT packages, and turnover packages.
• Develop and execute commissioning and qualification protocols.
• Utilize systems such as building management systems, process control systems, and computerized maintenance management systems. Experience with digital validation platforms such as KNEAT is a plus.
• Ensure all work complies with GMP standards, safety expectations, and regulatory guidelines
• Coordinate across engineering, operations, facilities, quality, and validation to ensure successful project execution.
• Participate in project planning, scheduling, risk assessments, and milestone tracking.
• Provide effective communication to stakeholders at all levels.

QUALIFICATIONS AND REQUIREMENTS:

Education

• Bachelor’s or Master’s degree in Chemical, Mechanical, Biomedical, Pharmaceutical Engineering or a related technical field.

Experience

• Typically 7 or more years of experience in GMP pharmaceutical or biotech manufacturing.
• Strong preference for sterile, aseptic, biologics, or vaccine fill–finish experience.
• Experience supporting commercial manufacturing operations in a regulated environment.
• Experience with commissioning, qualification, and engineering documentation.

Knowledge, Skills, and Abilities

• Strong understanding of aseptic operations, cleanroom environments, and fill–finish equipment.
• Strong documentation and technical writing skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively.

ESSENTIAL FUNCTIONS:

Physical Demands: 

The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. 

Work Environment: 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. 

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company-paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere.” However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time. 

LEGAL STATEMENT:
 
Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer. 

POSITION OVERVIEW:
We are seeking a Sr. Fill–Finish Process Engineer with strong experience in aseptic pharmaceutical or biologics manufacturing to support the capital project buildout of a new fill–finish suite within a commercial manufacturing facility. The ideal candidate has hands-on expertise in formulation, sterile filtration, aseptic filling, lyophilization, capping, inspection processes, and associated equipment technologies, along with a strong understanding of GMP operations and regulatory expectations. This position partners closely with operations, QA, validation, MS\&T, engineering, and supply chain to ensure robust, compliant, and continuously improving manufacturing performance.

We are actively seeking qualified candidates to join our talent pipeline for future client engagements.  

WORK LOCATION:
Travel to client sites may be required up to 100% based on project phase and client needs.

KEY RESPONSIBILITIES:
(This list is not exhaustive and may be adjusted as needed.)

• Support design, construction, installation, and qualification of a new commercial fill–finish suite, including cleanrooms, process utilities, and supporting infrastructure.
• Contribute to user requirement development, equipment specifications, vendor evaluations, and design reviews.
• Support FAT/SAT, commissioning, and qualification activities for fillers, isolators or RABS, lyophilizers, depyrogenation tunnels, autoclaves, CIP/SIP systems, formulation vessels, sterile filtration skids, and inspection machines.
• Conduct field walkdowns, verify installation details, and ensure alignment with drawings, P\&IDs, and GMP requirements.
• Serve as subject matter expert for fill–finish operations including formulation, filtration, filling, lyophilization, capping, and visual inspection.
• Partner with Operations and MS\&T to troubleshoot and resolve technical issues.
• Collaborate with Maintenance and Reliability teams to address equipment performance gaps.
• Support continuous improvement and process optimization initiatives.
• Partner with QA, Validation, and MS\&T to maintain validated state of aseptic manufacturing processes.
• Ensure alignment with regulatory requirements including FDA, EMA, ICH, and Annex 1.
• Support continued process verification (CPV), annual product review (APR/PQR), and ongoing process monitoring.
• Author, review, and approve GMP documentation, including batch records, SOPs, change controls, CAPAs, deviations, and technical reports.
• Generate and maintain engineering lifecycle documentation including impact assessments, URS/FRS documents, FAT/SAT packages, and turnover packages.
• Develop and execute commissioning and qualification protocols.
• Utilize systems such as building management systems, process control systems, and computerized maintenance management systems. Experience with digital validation platforms such as KNEAT is a plus.
• Ensure all work complies with GMP standards, safety expectations, and regulatory guidelines
• Coordinate across engineering, operations, facilities, quality, and validation to ensure successful project execution.
• Participate in project planning, scheduling, risk assessments, and milestone tracking.
• Provide effective communication to stakeholders at all levels.

QUALIFICATIONS AND REQUIREMENTS:

Education

• Bachelor’s or Master’s degree in Chemical, Mechanical, Biomedical, Pharmaceutical Engineering or a related technical field.

Experience

• Typically 7 or more years of experience in GMP pharmaceutical or biotech manufacturing.
• Strong preference for sterile, aseptic, biologics, or vaccine fill–finish experience.
• Experience supporting commercial manufacturing operations in a regulated environment.
• Experience with commissioning, qualification, and engineering documentation.

Knowledge, Skills, and Abilities

• Strong understanding of aseptic operations, cleanroom environments, and fill–finish equipment.
• Strong documentation and technical writing skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively.

ESSENTIAL FUNCTIONS:

Physical Demands: 

The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. 

Work Environment: 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. 

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company-paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere.” However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time. 

LEGAL STATEMENT:
 
Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer. 

ESSENTIAL JOB FUNCTIONS:

• Day-to-day operation and maintenance of laboratory and office facilities.
• Organize and help maintain the lab, manage the lab consumable inventory, take care of stocking supplies, schedule refrigerator/freezer cleanings, pipette calibrations, maintain organization of the lab inventory.
• Order, stock, and track inventory which includes reagents, consumables, first aid items, and other lab and office supplies.
• Arranging FedEx Shipments and receiving deliveries.
• Manage service providers and vendor contracts related to the maintenance, calibration, and repair of facility and utility equipment and building systems.
• Maintain the labs facility and utility practices, policies, and procedures
• Coordinate the instrument preventive maintenance schedule.
• Ensures adherence to lab standards and practices to maximize safety and operational effectiveness
• Responsible for lab shipments to/from company while maintaining safe shipping and handling standards.
• Manage all chemical and biological waste streams, including proper storage, labeling and disposal.
• Maintain required Chemical Inventory.
• Manage system for Safety Data Sheet (SDS) record keeping.
• Track warranty expirations and contact vendors for renewal.
• Drive continuous improvement in all aspects of the laboratory operations
• Provide excellent customer service when interacting with lab users, third party vendors, and other departments
• Proactive communication with end users on scheduled maintenance, status updates, and issues that may impact lab use
• Assist with arranging maintenance and service on equipment
• Escort service vendors for equipment maintenance and repairs
• Serve as EH&S point of contact and safety monitor
• Support and lead city/state inspections and audits
• Monitor systems, liquid nitrogen, and dry ice levels; place orders as needed
• Act as first responder for temperature alarm systems
• Manage and act of PoC for HVAC in office and lab spaces.
• Respond to urgent lab issues such as equipment failures, sample transfers, leaks or facility related issues
• General facilities duties such as lunch orders, stocking kitchen, and running dishwasher
• Provide back-up reception support as needed.
• Assist facilities team with event setup.
• Other tasks as may be assigned as needed

JOB SPECIFICATIONS:

• Prefer a Bachelor’s degree or a combination of equivalent education, training or experience.
• 2+ years of job experience working supporting lab operations in a biotech or pharmaceutical setting
• Ability to speak effectively and communicate to visitors in a professional manner. 
• Ability to work in a flexible, fast-changing environment and respond to needs quickly.
• Must be a team player who excels at customer service. 
• Will be detail oriented with strong attention to detail and have demonstrated experience prioritizing and organizing multiple tasks simultaneously. Punctuality and a positive, cheerful attitude is a must.
• Must be able to stand on your feet for long periods of time and lift 25+lbs

The base range for this role is $21 - $30 per hour. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location, and relevant education or training. Kura's compensation package also includes generous benefits, equity, and participation in an annual target bonus.

#LI-RM1

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking an experienced Senior Lead, Enterprise Master Data who will play a pivotal role in defining and driving the enterprise master data governance strategy across material, vendor, and customer domains. This role will own the vision, standards, and execution roadmap for master data to enable scalable operations across Supply Chain, Manufacturing, Finance, and Commercial functions. As a key partner to business and technical leadership, you will ensure master data is accurate, compliant, and aligned to business priorities, while driving cross-functional alignment, system integration, and continuous improvement in a GxP-regulated environment.

This is an incredible opportunity for someone who is passionate about enterprise master data governance and strategy, and enjoys working in a dynamic, fast-paced company. This role will report to the Sr Manager, Business Process and will be an on-site, San Diego based role.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

• Define and evolve the master data governance strategy and multi-year roadmap across material, vendor, and customer domains
• Establish and govern customer master data aligned to order-to-cash processes (customer onboarding, pricing, billing, invoicing, revenue recognition), including ownership models and decision rights with Commercial and Finance
• Establish and enforce data standards, policies, and decision frameworks to ensure consistency and scalability across PLM, ERP, CRM, and downstream systems
• Serve as the authority for material, vendor, and customer master data, driving cross-functional alignment and leading governance forums to resolve ownership and prioritization decisions
• Drive a single source of truth strategy across systems and business processes
• Own and optimize master data lifecycle and data quality (creation through archival, KPIs, and enterprise-wide remediation)
• Ensure compliance with GDP, SOPs, and ISO standards (ISO 27001, 9001, 13485), supporting audit readiness and regulatory requirements
• Standardize customer master attributes (sales channel, payment terms, VAT/EORI, Incoterms, hierarchies, and account structures) to enable accurate order processing, invoicing, and reporting
• Partner with business and IT leaders to support system implementations, integrations, and transformations, ensuring master data requirements are defined and met
• Drive master data readiness to enable product launches and business scale, while advising leadership on data risks, trade-offs, and investments

Education and Experience:

• Bachelor’s degree in Business, Supply Chain, Operations, or related field with 8+ years of experience in Master Data Management, Data Governance, or Business Systems (biotech, pharma, or medical device experience preferred)
• Strong working knowledge in master data domains and data architecture (material, vendor, customer master; strong understanding of interactions with transactional data across order-to-cash, procure-to-pay, and manufacturing processes)
• Experience designing and operating governance and change management processes (data governance frameworks, controlled data changes, impact assessment, change control in regulated/GxP environments)
• Strong systems and data proficiency (ERP, CRM, PLM integrations; SQL, Snowflake, or similar querying tools; Excel and BI/reporting tools such as Tableau or Power BI)
• Proven ability to lead through influence (cross-functional alignment across Supply Chain, Manufacturing, Finance, Commercial, and IT; ability to translate between technical and business stakeholders)
• Strong analytical and execution skills in a fast-paced environment (root cause analysis, process improvement, high attention to detail)

Physical Requirements:

• Ability to lift up to 20 pounds

Location:

• San Diego – on-site

Travel: 

• Up to 5%

Job Type:

• Full-time, Exempt

Base Compensation Pay Range:

• $119,000 - $156,000

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

Your Role:

As a key member of the sales/commercial team, the Territory Business Manager (TBM) will lead sales at the territory level and serve as the primary liaison between customers and SpringWorks Therapeutics, a healthcare company of Merck KGaA, Darmstadt, Germany. The TBM will deliver on revenue goals by executing the brand objectives through communication of approved clinical information, rigorous account planning and commercial team collaboration. The TBM will be responsible for appropriately promoting our rare disease product(s) along with implementing programs and initiatives in accordance with the company and industry guidelines.

Location Classification – Field-Based: ​

Officially classified as working as a member of field organization, with the expectation of this role to travel and engage and with external partners, collaborators, and other third parties regularly on behalf of SpringWorks Therapeutics. #LI-Remote

Essential Duties and Responsibilities:

• Maintain an expert operating knowledge of all company policies and guidelines including but not limited to those addressing interactions with Healthcare Professionals, compliance and business conduct.
• Ensure compliance with all Company, industry and government laws or regulations including guidelines pertaining to ethical business practices.
• Accountable for overall territory revenue and customer support.
• Achieve short and long-term sales objectives by identifying customer needs and providing solutions to create a professional relationship between the customer and SpringWorks Therapeutics, a healthcare company of Merck KGaA, Darmstadt, Germany. in both the live and virtual setting, as well as, within the community/academic setting respectfully.
• Build relationships with key HCP’s, physician practices, and hospitals/clinics, practice managers across various treatment and academic settings, including major cancer centers.
• Be a territory expert having deep market, customer, product, and competitive insights. Understand the changing healthcare landscape and strategically adapt to succeed in a constantly evolving environment.
• Successfully complete ongoing training and development to include product knowledge, selling skills, goal setting, planning and analysis, use of marketing tools and clinical information and sales competencies.
• Strategically identify and enact ways to appropriately put patients and customers first, demonstrating behaviors and prioritizing those tasks which will enable delivery of medicines to patients with greater speed and increase the ability to help patients’ lives.
• Demonstrate strong critical analytic and planning skills in reviewing data, understanding trends, preparing, communicating applicable plans and embracing the digital platforms/omnichannel strategies.
• Fully participate in field coaching sessions, including receiving guidance, positive reinforcement, and corrective action where needed with a focus on the execution of accounts plans and competency development to ensure revenue targets are met.
• Work collaboratively and manage ongoing communication and tactical coordination with field and HQ colleagues.
• Work to support local/area KOL’s.
• Perform other duties and responsibilities as assigned.

Education & Qualifications: 

• Bachelor’s degree required (Advanced degree preferred)
• 7+ years of pharmaceutical and/or biotech experience required
• 5+ years proven Rare Disease sales experience in the pharmaceutical/ healthcare industry with demonstration of successful results
• Oncology experience
• Experience selling in a competitive market
• Experience with virtual selling and track record of embracing technology
• In-depth understanding of the Oncology landscape and market dynamics is highly desirable
• Strong expertise in reimbursement and managed care knowledge
• Possesses high integrity and exceptional work ethic. Fosters mutual trust and respect
• Embody the SpringWorks Values to act with empathy and humility to drive a culture that takes ownership and accountability for their individual performance
• Embody the SpringWorks Values to act with empathy and humility to drive a culture that takes ownership and accountability for their individual and teams’ performance.
• Strong interpersonal communication skills to collaborate with colleagues, stakeholders, and vendors effectively and clearly in a remote hybrid work environment.
• Ability to travel occasionally including overnight stay driven by business need.

Physical Requirements of Position:

• A valid and active driver’s license
• Position may require domestic travel up to 50% of time
• Candidate must live within the identified territory #LI-Remote

Compensation & Benefits:

The expected salary range for this position is $185,000.00 to $210,000.00. Actual pay will be determined based on experience, qualifications, location, and other job-related factors permitted by law. A discretionary incentive compensation is available based on individual performance tied to MBO's and Sales Incentive Plan.

Job Scope:

The role of Sales Account Manager is to drive and support sales efforts in a given territory by implementing the sales/marketing strategies for GenScript products and services. The Sales Account Manager will use his/her knowledge of science and the business including corporate contacts to develop and deliver profitable initiatives and build sales.

Please note that this position supports the Southern California territory and the ideal candidate resides in San Diego, CA. 

The base salary range is $85,000 - $100,000 and is dependent upon experience level. 

Key Responsibilities:

The Sales Manager will be responsible for working with the Global Commercial Head to grow and develop an assigned sales territory for GenScript product/service lines and to achieve sales goals for the assigned territory. The Sales Manager will also work closely with their FAS, TAM team and MKT team to build the GenScript brand to meet the team’s sales objectives. The Sales Manager will work 30% of the time doing quote and lead follow-up, account management and 70% of the time traveling in the field making customer visits and building relationships in order to achieve the agreed monthly/quarterly/yearly sales goals.

• Work with Global Commercial Head to develop and implement territory sales strategies and tactics for products/services, new markets and new applications
• Responsible to understand the customer’s research application and match GenScript services and products to align with the customer’s research project requirements
• Share market knowledge with Sales, TAM and Marketing teams through weekly field feedback report
• Introduce GenScript to new markets – Industrial/Academic/Governmental.
• Drive business expansion in collaboration with technical support team (TAM) and FAS
• Build and expand a business reference network to help grow and develop new business opportunities

Qualifications:

• Master’s degree or above degree in scientific disciplines majoring in life science area; or Bachelor’s degree with at least 2 years of lab experiences
• Relevant sales experience required (1-5 years) and a high level of technical and professional expertise
• Knowledge of the Biological and CRO or CDMO market or general biotech industry. Emphasis on Gene Synthesis, Protein, Peptide, Bioassays, Antibody and Cell Line Products/Services preferred
• Ability to operate effectively in an international business environment and the ability to succeed in such an environment
• Ability to accurately forecast sales within territory on a weekly basis
• Team player
• Strong analytical and time management skills.

#LI-EB1

#GS

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in developing unified, multi-modal generative foundation models for multiscale biology. You will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission.

In this role, you will partner and collaborate with other multidisciplinary Scientists and Engineers across the Institute of Computation to design, build, and scale state-of-the-art foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. You will focus on the synthesis of unstructured multimodal signals with the structured relational data and knowledge graphs that represent biological reality.

The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

As a Staff Machine Learning Scientist, you will use your experience to focus on designing, developing, and evaluating state-of-the-art foundation models, at scale, to benefit the research.

• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs.   
• Architect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs .
• Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets.   
• Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.   
• Gain insights into model performance based on theory, deep research, and the mathematical underpinnings of set-invariant and graph-structured architectures .
• Apply strong coding experience to model development and deployment, ensuring research prototypes transition into reliable, scalable production systems.
• Stay up-to-date on the latest developments in deep learning—including native early-fusion and Mixture-of-Experts (MoE) architectures—and apply this knowledge to Altos' research .
• Mentor junior staff while maintaining a high individual technical contribution to the core research ecosystem and peer-reviewed publications.

Who You Are  

We are looking for someone who is:

• Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.
• Highly collaborative in mindset and ways of working across research and engineering boundaries.
• Self-motivated to drive and deliver on long-term technical projects and scientific goals.
• Demonstrates the desire to grow professionally and expand their skillset in biology, machine learning, and/or drug development.
• Able to communicate and explain the design, results, and impact of complex AI architectures to both scientific and non-scientific staff.
• Keen to contribute to seminars and scientific initiatives within Altos and the broader AI research community.

Minimum Qualifications

• PhD in Computer Science, Machine Learning, or a similar quantitative field with 5+ years of relevant work experience in academic or industry settings.
• Prior experience in developing and implementing novel generative AI models, specifically in multimodal integration, GraphRAG, or relational deep learning .
• Deep understanding of Machine Learning principles and how they apply to diverse architectures like Transformers, GNNs, and diffusion models .
• Very strong programming skills in Python and deep learning libraries (e.g., PyTorch, JAX, Hugging Face Transformers/Accelerate).   
• Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray).   
• Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR).

Preferred Qualifications

• Familiarity with tabular foundation models (e.g., TabPFN) and in-context learning strategies for structured data .
• Specific experience in native multimodal modeling (early-fusion) or the synthesis of LLMs and Knowledge Graphs .
• Track record of ML applied to biological data, such as NGS data (RNA-seq, ATAC-seq), biological imaging (microscopy, IF), or spatial transcriptomics.
• Experience in optimizing large-scale inference via quantization, distillation, or memory-efficient attention mechanisms.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in agentic AI methods for biological and clinical data curation and analysis.

In this role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will collaborate with biomedical research experts as well as other machine learning scientists and engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem, focusing on designing and building state-of-the-art agentic AI systems and workflows that tackle biological questions, accelerate clinical data analysis, and aid in the discovery of novel interventions for aging and disease.

The successful candidate will combine deep expertise in agentic AI methods with a strong foundation in bioinformatics and/or clinical R&D. You will work closely with domain experts to translate complex biological and clinical data challenges into intelligent, automated solutions. You will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Design and develop agentic AI workflows for biological and clinical data curation tasks
• Research and implement advanced context engineering techniques (RAG, agentic RAG, graph RAG) tailored to biomedical data
• Develop and optimize prompts and agent architectures for reliability, accuracy, and scientific rigor
• Build LLM-based tool-use systems and integrations relevant to bioinformatics and clinical R&D pipelines
• Collaborate with bioinformatics scientists, clinical researchers, and domain experts to identify automation opportunities and translate them into agentic solutions
• Evaluate and benchmark agentic systems, establishing rigorous metrics for performance and correctness in scientific contexts
• Stay current with the rapidly evolving landscape of agentic AI methods and contribute to internal best practices

Who You Are 

• Proven track record leveraging machine learning and AI to solve real-world problems
• Expertise in agentic AI methods development, including prompt optimization, LLM-based tool use, context engineering (RAG, agentic RAG, graph RAG), and agent evaluation
• Experience writing production-quality code with agentic frameworks (e.g., LangGraph, Pydantic-AI, DSPy, or similar)
• Deep familiarity with bioinformatics and/or clinical R&D, with the ability to engage meaningfully with domain experts on biological and clinical questions
• Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor) to iterate rapidly
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focused on professional growth
• Able to advise others across the wider function / company on cutting edge agentic AI practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, machine learning, and medicine
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities

Minimum Qualifications

• PhD in Computer Science, Machine Learning, Bioinformatics, or a related field
• Demonstrated experience developing agentic AI systems, including LLM-based tool use, prompt engineering, and context engineering techniques
• Strong foundation in machine learning principles and their application to real-world problems
• Strong background in bioinformatics, computational biology, or clinical R&D
• Familiarity with MCP server development and agent skill creation
• Very strong programming skills in Python, with experience writing production-quality, well-documented code
• Strong track record of published peer-reviewed research in AI/ML and/or computational biology

Preferred Qualifications

• Experience with AWS services (S3, Bedrock, Lambda) in the context of AI/ML workflows
• Experience with clinical trial data, regulatory data curation, or biomedical ontologies (e.g., CDISC, SNOMED, MedDRA)
• Track record working with NGS data (e.g., RNA-seq, ATAC-seq, DNA methylation) or other biological data modalities
• Experience designing evaluation frameworks and benchmarks for agentic AI systems
• Familiarity with knowledge graph construction and graph-based retrieval methods

The salary range for Redwood City:

• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego:

• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

Altos Labs is building a world-class AI ecosystem to solve the most complex problems in human biology. You will directly design and build high-performance, scalable solutions that unify high-dimensional biomedical imaging with molecular and language data.

By implementing large-scale multimodal data fusion, you will move beyond simple image analysis to create predictive models that map across biological domains. You will be hands-on with the data and the code, collaborating with our engineering team to ensure these models are scalable, efficiently trainable on distributed cloud infrastructure, and accessible to our global research community.

Responsibilities

• Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.
• Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
• Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
• Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.

Who You Are

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

Minimum Qualifications

• Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
• Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).
• Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
• Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.
• Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

Preferred Qualifications

• Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).
• Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.
• Experience handling the unique noise and sparsity of biological data.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

#LI-NN1

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. We are open to hiring either a Machine Learning Scientist or Machine Learning Engineer.

In either role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem. Focussing on designing and building state-of-the-art multimodal foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity. 

Responsibilities

Machine Learning Engineer

• As a Machine Learning Engineer you will focus on building, deploying and optimizing machine learning models at scale. 
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs.
• Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes 
• Ability to apply software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.

Machine Learning Scientist

• The ideal candidate will be able to use their experience to focus on designing, developing and evaluating state of the art foundation models, at scale, to benefit the research.
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs.
• You will be able to gain insights, based on theory, deep research and the mathematical underpinnings of your work.
• Be experienced in using AI as a tool to accelerate your research.
• Can apply strong coding experience to model development using existing languages(s) and framework(s)

Who You Are

We are looking for someone who is :

• Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities and how they can contribute
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Demonstrates the desire to grow professionally and expand their skillset and knowledge;  is keen to learn more about biology, computational science, and drug development.
• Ability to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Is able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

Machine Learning Engineer

• MS in Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related discipline
• 0-5 years of relevant work experience in either an academic or industry setting
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Ideally, experience in a distributed training framework, like DDP, FSDP, Deepspeed, Megatron, or HuggingFace Accelerate, Ray.
• Expertise in a subset of the following: transformers, natural language processing, multi-modality in language and/or in biology, diffusion models.

Machine Learning Scientist

• PhD in Computer Science / Machine Learning or similar fields 
• 0-5 years of relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Strong track record of published peer reviewed innovative AI/ML research 
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Familiarity with multimodal data integration, including early and/or late fusion strategies.
• Track record of ML applied to NGS data (e.g.RNA-seq, ATAC-seq, ChIP-seq, DNA methylation), biological imaging modalities (e.g. microscopy, H&E, IF), and/or spatial transcriptomics.

The salary range for Machine Learning Engineer position in San Diego

• Machine Learning Engineer I: $140,000 - $179,500
• Machine Learning Engineer II: $158,300 - $203,000

The salary range for Machine Learning Engineer position in Redwood City

• Machine Learning Engineer I: $152,600 - $195,600
• Machine Learning Engineer II: $174,200 - $223,300

The salary range for Machine Learning Scientist position in San Diego

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000

The salary range for Machine Learning Scientist  position in Redwood City

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.  We are looking for a hands-on, creative, and collaborative individual to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasizes teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Responsibilities

• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Contribute to setting the long-term technical vision and research strategy for a core domain (e.g., multi-modal data fusion, perturbation modeling) within the Institute of Computation
• Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX) and  agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
• Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
• Act as a key technical mentor to Machine Learning Scientists and Engineers, raising the bar for scientific rigor and model robustness across the organization.

Who You Are

• Proven track record leveraging machine learning to solve real-world problems;
• Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning, cooperative agents
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
• Experience with multi-GPU and distributed training at scale
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focussed on professional growth
• Able to advise others across the wider function / company on cutting edge practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine;
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• 6+ years of of relevant post-PhD work experience in either an academic or industry setting
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) or high-impact scientific journals.
• Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars
• Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
• Proven experience applying sophisticated ML techniques to molecular and cell biological data sets (e.g., NGS, spatial omics, bioimaging).

Preferred Qualifications

• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Redwood City, CA:

• Senior Scientist I, Machine Learning: $257,400 - $330,000
• Senior Scientist II, Machine Learning: $290,900 - $373,000
• Principal Scientist, Machine Learning: $330,800 - $424,100

The salary range for San Diego, CA:

• Senior Scientist I, Machine Learning: $239,500 - $307,000
• Senior Scientist II, Machine Learning: $262,100 - $336,000
• Principal Scientist, Machine Learning: $312,100 - $400,100

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.  We are looking for a hands-on, creative, and collaborative individual to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasises teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Responsibilities

• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Contribute to setting the long-term technical vision and research strategy for a core domain (e.g., multi-modal data fusion, perturbation modeling) within the Institute of Computation
• Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX) and  agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
• Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
• Act as a key technical mentor to Machine Learning Scientists and Engineers, raising the bar for scientific rigor and model robustness across the organization.

Who You Are

• Proven track record leveraging machine learning to solve real-world problems;
• Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning, cooperative agents
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
• Experience with multi-GPU and distributed training at scale
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focussed on professional growth
• Able to advise others across the wider function / company on cutting edge practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine;
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• 6+ years of of relevant post-PhD work experience in either an academic or industry setting
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) or high-impact scientific journals.
• Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars
• Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
• Proven experience applying sophisticated ML techniques to molecular and cell biological data sets (e.g., NGS, spatial omics, bioimaging).

Preferred Qualifications

• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Cambridge, UK:

• Senior Scientist I, Machine Learning: £115,600 - £152,100
• Senior Scientist II, Machine Learning: £131,900 - £173,500
• Principal Scientist, Machine Learning: £173,700 - £228,600

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute to Altos

This is an opportunity to join the state-of-the-art Virtual Cell team that recently won the Generalist prize in the ARC Virtual Cell Challenge. Here you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. 

In this role, you will be an integral part of our multidisciplinary teams enabling Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers, as well as other computational scientists and biologists, across the Institute of Computation to contribute to the Altos research and translation ecosystem. This role is focused on improving our state-of-the-art “virtual cell” models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that emphasises/emphasizes *please spell differently for UK/US teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Use your experience to focus on designing, developing and evaluating state of the art foundation and focused models, at scale, to advance the Altos mission
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and prior knowledge inputs.
• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models,  diffusion/flow matching models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX), AI-assisted coding, and agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Participate in the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation

Who You Are

• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Focused on professional growth and expanding you skillset and knowledge
• Able to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• Relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion/flow matching models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Strong track record of published peer reviewed innovative AI/ML research 
• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Cambridge, UK:

• Scientist I, Machine Learning: £74,900 - £98,500
• Scientist II, Machine Learning: £107,900 - £142,000
• Senior Scientist I, Machine Learning: £115,600 - £152,100

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

This is an opportunity to join the state-of-the-art Virtual Cell team that recently won the Generalist prize in the ARC Virtual Cell Challenge. Here you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. 

In this role, you will be an integral part of our multidisciplinary teams enabling Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers, as well as other computational scientists and biologists, across the Institute of Computation to contribute to the Altos research and translation ecosystem. This role is focused on improving our state-of-the-art “virtual cell” models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that emphasises/emphasizes *please spell differently for UK/US teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Use your experience to focus on designing, developing and evaluating state of the art foundation and focused models, at scale, to advance the Altos mission
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and prior knowledge inputs.
• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models,  diffusion/flow matching models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX), AI-assisted coding, and agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Participate in the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation

Who You Are

• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Focused on professional growth and expanding you skillset and knowledge
• Able to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• Relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion/flow matching models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Strong track record of published peer reviewed innovative AI/ML research 
• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source softwar

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

ESSENTIAL JOB FUNCTIONS:

Join us as we embark on an exciting journey in transforming the treatment landscape of acute myeloid leukemia (AML). We are seeking a dynamic and experienced Associate Director / Director, Marketing Promotions to play a critical role in the development, approval, and execution of core promotional materials supporting KOMZIFTI (ziftomenib) in relapsed / refractory (R/R) NPM1-m AML.

Reporting to the Senior Director of Brand Strategy and Marketing, this role will lead the end-to-end execution of promotional tactics, including MLR submission and approval, sales force rollout, and digital marketing execution, while supporting broader brand strategy. The successful candidate will bring strong experience partnering with field teams, managing agencies, and working cross-functionally in a highly regulated oncology environment.

Responsibilities

Strategic Planning & Brand Management

• Lead development and execution of annual tactical plans in alignment with brand strategy. 
• Distill market research findings and sales trends into insights that direct promotional efforts.

Promotional Development & Execution

• Lead the development of core promotional materials, including print, digital, and field-facing assets, from concept through MLR review, approval, and final production for HCP and patient audiences.
• Own and manage the MLR process, ensuring compliant, high-quality materials are delivered on time.
• Drive effective rollout of approved promotional tactics to sales teams, in close collaboration with Sales, Sales Training, and Commercial Operations
• Ensure promotional materials effectively translate brand strategy into clear, actionable field tools.

Digital & Omnichannel Execution

• Lead execution of digital marketing tactics, including email, web, virtual engagement tools, and non-personal promotion.
• Manage media agency to optimize channel mix, implement tactics, measure performance, and optimize future tactics accordingly across HCP and patient audiences.
• Ensure digital tactics align with brand strategy and compliance requirements

Sales Force & Field Engagement

• Serve as a key marketing partner to the field organization, incorporating field insights into promotional development.
• Demonstrate proven experience translating brand strategy to field teams at sales meetings and field training initiatives.
• Act as a trusted point of contact for sales leadership, ensuring alignment between marketing execution and field needs.

Performance & Budget Management

• In collaboration with insights team, establish, integrate and track KPIs, performance metrics, and ROI for marketing activities.
• Monitor product performance and propose promotional adjustments based on market dynamics.
• Prepare and deliver clear, concise presentations to senior leadership, including updates on promotional plans, execution status, and performance insight
• Manage promotional budget.

Job Specifications:

• Bachelor’s degree in relevant field, advanced degree preferred.
• Minimum of 7 years of experience in biotech or pharmaceutical marketing, preferably in oncology or hematology
• Demonstrated experience leading promotional material development and MLR review
• Proven track record of working directly with sales and field teams
• Strong experience managing external agencies (creative, digital, production)
• Experience executing digital and omnichannel marketing tactics in a regulated environment
• Ability to work effectively in a highly cross-functional organization
• Strong communication and interpersonal skills, with comfort presenting to senior leadership
• Highly organized, detail-oriented, and able to manage multiple priorities
• Ability to travel up to 20% (domestic with limited international)
• Sales experience is a plus
• Product launch experience preferred
• Strong analytical skills; comfortable navigating complex and ambiguous environments
• Alliance partnership experience beneficial

The base range for this role at an Associate Director level is $180,000 - $215,000 and Director level would be $223,000 - $258,000 per year. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location, and relevant education or training. Kura's compensation package also includes generous benefits, equity, and participation in an annual target bonus.

#LI-RM1

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking a Scientist, Histology to join our R&D team supporting the development of a next-generation multi-omics product for tissue samples, including formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF)specimens. In this role, you will lead and execute tissue preparation workflows and contribute to the development and optimization of protocols that enable robust downstream molecular and imaging assays. 

The ideal candidate brings strong expertise in histology and tissue processing along with experience working in cross-functional R&D environments. This role will play a key part in enabling the development of innovative spatial and multi-omic technologies. This role will report to the VP, Biochemistry and will be a role at our San Diego headquarters.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

• Lead the preparation and processing of tissue specimens, including FFPE and fresh frozen tissues, for assay development and research applications
• Design, develop, and optimize histology workflows to support multi-omics and spatial biology assays specific to Element’s platform
• Perform tissue fixation, embedding, microtomy, cryosectioning, and slide preparation to generate high-quality tissue sections
• Develop and execute routine and advanced staining protocols, including H&E, immunohistochemistry (IHC), and immunofluorescence (IF)
• Evaluate tissue morphology and section quality, identify artifacts, and troubleshoot issues related to fixation, processing, and sectioning
• Establish quality control assays for tissue sections and blocks
• Collaborate with molecular biology, assay development, imaging, and bioinformatics teams to integrate tissue workflows into broader product development efforts
• Design and execute experiments to evaluate new reagents, tissue preparation protocols, and assay formats
• Establish and maintain standard operating procedures (SOPs) for histology and tissue handling workflows
• Operate and maintain histology instrumentation including microtomes, cryostats, automated tissue processors, and staining systems
• Analyze and communicate experimental results and present findings to cross-functional teams
• Mentor and provide technical guidance to research associates and junior scientists
• Support quality control and reproducibility efforts for tissue-based assays in product development

Education and Experience:

• PhD is preference OR MS with 4–6 years of relevant hands-on histology experience, OR BS with 5–7 years of relevant hands-on histology experience, preferably in a biotechnology, research, or clinical laboratory environment
• Strong expertise in: FFPE tissue processing and embedding; Fresh frozen tissue handling and cryosectioning; Microtomy and cryostat operation
• Experience performing routine histological staining (e.g., H&E) and immunostaining techniques with interpretation
• Demonstrated ability to produce high-quality, reproducible tissue sections suitable for microscopy and molecular assays
• Experience in preparation and quality control and integrity assessment of tissue samples for wide range of downstream workflows and assays
• Strong understanding of tissue morphology and common histological artifacts
• Experience troubleshooting histology workflows and optimizing protocols
• Strong documentation and communication skills
• Ability to work effectively in a fast-paced, multidisciplinary R&D environment
• HT or HTL certification (ASCP)
• Experience with multiplex immunofluorescence or spatial biology assays
• Familiarity with in situ hybridization techniques (e.g., RNAscope)
• Experience with spatial, single cell and bulk RNAseq and protein assays on tissue samples
• Experience with automated staining platforms (e.g., Leica, Ventana, Sakura)
• Experience working with human clinical tissue samples
• Prior experience contributing to biotech product or assay development
• Experience supporting spatial transcriptomics, proteomics, or other tissue-based multi-omics workflows

Physical Requirements:

• Frequently moves boxes weighing up to 20 pounds
• The position requires physical activity and the handling of chemicals; Candidates are required to follow the safety protocols and be familiar with personal protective equipment (PPE) while working in the laboratory environment

Location:

• San Diego - Headquarters

Travel: 

• Up to 10%

Job Type:

• Full-time/Exempt

Base Compensation Pay Range:

• $116,000 - $152,000

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

Senior Scientist Biophysics

About the Role

We are seeking an experienced, self-starter, and highly motivated Biophysics Senior Scientists to join our San Diego team to deliver high-quality results and drive small molecule drug discovery. In this role, you will be a key contributor to our small‑molecule discovery engine, designing and executing biophysical strategies that identify high‑quality hits, elucidate mechanisms of action, and accelerate lead optimization. You will work at the center of multidisciplinary project teams, partnering closely with chemistry, biology, and lead discovery to advance programs toward development candidates. The successful candidate will propose, design, and implement new biophysical assays and hit ID approaches (ie. SPR, MST, DSF, NMR), characterize protein-small molecule and protein-protein interactions, and uncover mechanistic insights of our drug discovery targets and lead molecules. You will provide expert interpretation of biophysical results and use data analysis and visualization tools to integrate data with the broader set of data generated at Treeline to drive program decisions.

Responsibilities

• Propose, design, develop, and execute biophysical assays to support hit identification, hit-to-lead, and lead optimization activities.
• Establish robust SPR assays for small‑molecule interaction analysis, including hit triage, affinity/kinetic characterization, and mechanism-of-action studies.
• Efficiently utilize a suite of biophysical techniques to advance drug discovery: primarily SPR but also including DSF, DLS, and others through in-house and CRO capabilities.
• Employ biophysical methods to mechanistically deconvolute the molecular mechanism of action of small molecule hits.
• Effectively analyze, interpret, and communicate biophysical data as a subject matter expert and biophysics representative on project teams.
• In collaboration with chemistry, biology, lead discovery, and medicine design, characterize and establish SAR to rapidly drive the hit-to-lead process.
• Propose and evaluate new approaches and technologies.
• Provide scientific leadership, mentorship, and cross-functional partnership within a dynamic matrixed environment.

Required Qualifications

• PhD in Biophysics, Biochemistry, Chemistry, Chemical Biology or related discipline with 2-3 years of relevant postdoctoral training.
• 4+ years of biotech/pharma experience with a demonstrated impact in hit identification, hit-to-lead, and lead optimization for small-molecule programs.
• Expertise in quantitative biophysical assay development, especially SPR for small‑molecule drug discovery. Hands-on experience characterizing protein–ligand interactions, including affinity, kinetics, stoichiometry, and mechanism.
• Strong theoretical and practical knowledge of an array of biophysical methods with proven hands-on expertise applying biophysics for interaction analysis. Expertise with MST/SS, DSF, MS, or NMR are a plus.
• Demonstrated ability to troubleshoot complex assays, work with challenging proteins, and deliver high‑quality, reproducible data.
• Excellent communication, data visualization, and interpersonal skills, with a track record of effective collaboration on multidisciplinary teams.

Preferred Qualifications

• Ability to lead in a matrix environment, and for example, act as point of contact on project teams.
• Experience with fragment-based lead discovery, covalent lead discovery, and DEL are a plus.
• Strong hands-on biochemistry experience or expertise in enzymology.
• Working knowledge of adjacent disciplines (biochemistry, structural biology, protein purification, biology, chemistry).
• Experience in working with challenging proteins.
• Experience working with CROs.

This position is classified as exempt. The anticipated annual base salary range for candidates who will work in San Diego is $151,694 to $174,363. The final base salary offered to the successful candidate will be dependent upon several factors that may include but are not limited to the type and length of experience within the job, education, and other factors. Treeline Biosciences is a multi-state employer, and this salary range may not reflect positions that work in other cities or states.

Recruitment fraud statement

Please be aware of recruitment fraud and related job scams, where scammers present themselves as recruiters but are seeking to steal money or personal information. Keep the following in mind to protect yourself:

• Treeline Biosciences will never ask for money from you as part of our recruitment process. Do not provide bank details or pay somebody for the promise of a job at Treeline.
• We do not conduct interviews through RingCentral, Skype or Telegram. 
• Our job openings are first posted to treeline.bio/careers. If you locate a listing for a Treeline job on another site, please ensure it is also posted on our careers website.
• You can find more information about job scams at consumer.ftc.gov/articles/job-scams.
• To report job scams, head to ReportFraud.ftc.gov.