Position Summary:

ultrafocused – Work together to fearlessly uncover new possibilities

The Director, Drug Substance Manufacturing provides technical and operational leadership for drug substance manufacturing activities supporting Ultragenyx’s small molecule and oligonucleotide programs. This role is responsible for execution of departmental manufacturing strategies, management of external CMOs, and delivery of reliable clinical and commercial supply under cGMP conditions. The Director partners cross‑functionally to ensure safe, compliant, and efficient manufacturing while operating within established functional strategies. 

Work Model: 

Flex: This role will typically require onsite work 2-3 days each week or more depending on business needs. In many locations, the business will set certain days each week that Flex employees are required to be onsite.

Responsibilities:

1. Lead and manage drug substance manufacturing for synthetic molecules and oligonucleotides in a cGMP environment, supporting both clinical and commercial supply. 
2. Oversee production planning, execution, and performance tracking to ensure reliable fulfillment of agreed manufacturing services. 
3. Manage and strengthen CMO relationships, including selection, onboarding, governance, and ongoing performance management. 
4. Lead or contribute to CMC projects across the small molecule and oligonucleotide portfolio, ensuring alignment with development and supply strategies. 
5. Author and/or provide expert input into CMC sections for global regulatory filings, including INDs, IMPDs, NDAs, and MAAs. 
6. Serve as an integral member of cross‑functional and cross‑discipline CMC teams for programs containing synthetic components. 
7. Oversee process development, optimization, technology transfer, and lifecycle management, including change controls, deviations, and investigations. 
8. Ensure development and maintenance of manufacturing-related documentation, including Design History Files and Quality Risk Management Plans. 
9. Drive RFPs, Statements of Work, Master Service Agreements, and other manufacturing and quality governance documents. 
10. Promote continuous improvement, knowledge management, and operational excellence while representing Drug Substance Manufacturing on global and cross‑functional teams. 

Requirements:

1. Ph.D. in chemistry, chemical engineering, organic chemistry, or a related discipline, or equivalent industry experience. 
2. 8–12 years of pharmaceutical or biopharmaceutical experience with progressive responsibility in CMC and manufacturing. 
3. Demonstrated experience in managing small molecule synthetic chemistry, pharmaceutical CMC development, process scale‑up, and cGMP manufacturing. 
4. Demonstrated experience managing and participating in cross‑functional CMC teams. 
5. Strong background in development and clinical manufacturing of small molecule drug substances; experience with oligonucleotides is a plus. 
6. Familiarity with QbD principles, DoE, process scale-up and optimization, validation/qualification, and phase‑appropriate controls. 
7. Solid knowledge of cGMP requirements, ICH guidelines, and phase‑appropriate controls.. 
8. Familiarity with analytical development and quality control is advantageous. 
9. Strong track record of building and sustaining effective CMO partnerships. 
10. Demonstrated ability to lead teams, manage complexity, and deliver results in a matrixed environment. 
11. Excellent written and verbal communication skills in English; additional languages are a plus. 
12. Demonstrated commitment to leadership development, coaching, and continuous learning. 

Physical Demand Requirements

Office‑based role with occasional presence in manufacturing and partner facilities. requiring GxP gowning and wear protective clothing over the head, face, hands, feet, and body may be required during site visits or when attending as person-in-plant. This requires the ability to change clothes into appropriate gowning and personal protective equipment.  

#LI-CT1 #LI-Hybrid

Position Summary:

ultradedicated – Your biggest challenges yield rare possibilities

The Senior Director, FP&A will be a key business partner to Ultragenyx’s Development organization, with primary responsibility for strengthening financial governance, budget transparency, and accrual rigor across development activities. The position supports the Chief Medical Officer and senior Development leadership by enabling a clear, consistent understanding of spend to date, remaining budget, and forward‑looking financial exposure across clinical and non‑clinical functions. The role combines hands‑on analytical execution with executive‑level financial storytelling to improve confidence, decision‑making, and stewardship across the development portfolio. 

Work Model: 

Flex: This role will typically require onsite work 2-3 days each week, or more depending on business needs. In many locations, the business will set certain days each week that Flex employees are required to be onsite.

Responsibilities:

1. Establish and maintain strong working relationships with Development leadership and operational stakeholders, serving as a trusted finance partner embedded in clinical study governance, financial oversight, and execution forums.  
2. Provide hands‑on financial support to Program Teams and Development functions by reviewing invoices, tracking actual spend, and identifying total and remaining budget at the study, program, and functional levels.  
3. Lead clinical trial cost modeling, including scenario planning and sensitivity analyses, clearly explaining cost drivers related to study design, timelines, enrollment assumptions, and execution strategies.  
4. Perform regular budget‑to‑actual analyses across clinical and non‑clinical Development activities, synthesizing account‑level, vendor‑level, and study‑level variances into concise, decision‑oriented insights.  
5. Deliver clear, actionable financial updates on spend, forecast changes, risks, and opportunities to minimize surprises and strengthen confidence in Development financial outlooks.  
6. Partner with Accounting and operational teams to support Development accrual processes, ensuring assumptions are timely, well‑documented, and aligned with underlying operational activity.  
7. Lead financial communications related to clinical trials and broader Development spend, including inputs to executive‑level readouts, portfolio reviews, and CMO‑level presentations.  
8. Support annual planning and in‑year reforecasting cycles by reviewing business‑generated forecasts, assessing reasonableness, and providing Development‑wide financial context and challenge.  
9. Design, implement, and continuously improve financial tools, reporting, and processes that enhance budget visibility, accrual understanding, and financial fluency across Development teams.  
10. Balance near‑term execution and stewardship of existing processes with a longer‑term focus on strengthening governance frameworks, standardization, and transparency across Development financial management. 

Requirements:

1. Bachelor’s degree in finance, Accounting, Economics, or a related discipline; MBA, CPA, or advanced degree preferred.  
2. Minimum of 12 years of progressive experience in FP&A, finance, or financial management supporting R&D or development organizations within the biotechnology, pharmaceutical, or life sciences industry.  
3. Demonstrated experience partnering with Development teams, including Clinical Operations and non‑clinical functions such as Regulatory, Pharmacovigilance, Biostatistics, and Statistical Programming.  
4. Deep expertise in clinical trial financial modeling, including cost drivers, scenario planning, and sensitivity analysis, with the ability to translate operational assumptions into credible forecasts.  
5. Strong background in financial governance, including budget oversight, variance analysis, accrual support, and spend‑to‑date transparency.  
6. Proven ability to influence without formal authority and partner effectively with senior leaders, program teams, and functional stakeholders.  
7. Ability to operate seamlessly between strategic and detailed perspectives, including hands‑on engagement with invoices, actuals, and accrual drivers, as well as executive‑level synthesis.  
8. Demonstrated success leading process improvement initiatives that improve budget visibility, accrual rigor, and financial fluency within business teams.  
9. Strong communication skills, with the ability to deliver clear, concise summaries of variances, forecast changes, and drivers to audiences ranging from study teams to executives.  
10. Advanced proficiency in financial modeling, forecasting, and analytics tools (e.g., Excel, Adaptive Insights, and enterprise planning systems) 

#LI-CK1 #LI-Hybrid

Position Summary:

ultrafocused – Work together to fearlessly uncover new possibilities

The Senior Director, Drug Product Manufacturing is an experienced operations leader responsible for CMC development and GMP manufacturing of Ultragenyx’s drug product formulations, including small molecule and oligonucleotide products. This role leads external drug product manufacturing activities, supports reliable clinical and commercial supply, and contributes to strategic planning within Technical Operations. The position serves as a recognized technical expert and partners cross‑functionally across Quality, Regulatory, Supply Chain, and Development organizations. 

Work Model: 

Flex: This role will typically require onsite work 2-3 days each week, or more depending on business needs. In many locations, the business will set certain days each week that Flex employees are required to be onsite.

Responsibilities:

1. Lead external drug product manufacturing for small molecule and oligonucleotide products in a cGMP environment. 
2. Oversee production planning, execution, and performance tracking to ensure clinical and commercial supply commitments are met. 
3. Manage CMO relationships, including selection, onboarding, and performance management, fostering strong collaborative partnerships. 
4. Lead or support CMC activities across the drug product portfolio, including authoring and reviewing CMC sections for global regulatory filings (INDs, IMPDs, NDAs, MAAs). 
5. Serve as an integral member of cross‑functional CMC teams, partnering with Quality, Regulatory, Supply Chain, Development, and Clinical teams. 
6. Develop and maintain manufacturing documentation, including Product Design History Files and Quality Risk Management Plans. 
7. Oversee process development, technology transfer, process optimization, and lifecycle management activities. 
8. Manage manufacturing-related deviations, change controls, investigations, and complaint responses. 
9. Drive RFPs, Statements of Work, Master Service Agreements, and other manufacturing governance documents. 
10. Promote knowledge management, documentation best practices, continuous improvement, and operational excellence initiatives while representing Drug Product Manufacturing on global and cross‑functional teams. 

Requirements:

1. PhD or equivalent relevant experience in Pharmaceutical Sciences, Engineering, or related discipline. 
2. 10–15+ years of experience in pharmaceutical or biopharmaceutical manufacturing, preferably within global organizations. 
3. Demonstrated expertise in small molecule drug product development and clinical/commercial manufacturing; experience with multiple dosage forms preferred. 
4. Strong knowledge of QbD, DoE, process validation/qualification, phase‑appropriate manufacturing controls, PAT, and current regulatory expectations for drug products. 
5. Working knowledge of cGMP, ICH guidelines, and global regulatory submission requirements. 
6. Proven track record managing and sustaining effective CMO partnerships in a matrixed organization. 
7. Experience with analytical development and quality control is a plus. 
8. Strong problem‑solving, leadership, communication, and financial acumen. 
9. Commitment to coaching, feedback, and continuous learning and development.  

Physical Demand Requirements   

Office‑based role with occasional presence in manufacturing and partner facilities. requiring GxP gowning and wear protective clothing over the head, face, hands, feet, and body may be required during site visits or when attending as person-in-plant. This requires the ability to change clothes into appropriate gowning and personal protective equipment.  

#LI-CT1 #LI-Hybrid

Position Summary:

ultrafocused – Work together to fearlessly uncover new possibilities

The Senior Manager, CMC QA will be responsible for the Product Complaints, Annual Product Quality Review and CMC Change Control Review Board programs and will maintain strategic responsibility over QA Manufacturing Operations and will implement and communicate Ultragenyx’s CMC quality approach for the company. This role will direct and oversee operations in accordance with GxP regulations and Ultragenyx standards. 

Work Model: 

Flex: This role will typically require onsite work 2-3 days each week, or more depending on business needs. In many locations, the business will set certain days each week that Flex employees are required to be onsite.

Responsibilities:

1. Facilitate Global Annual Product Review/Product Quality Review in partnership with Quality Leads and collaboration with Tech Ops and Reg CMC 
2. Lead UGX Change Control Review Board program and provide coaching to Change Owners on the Change Control process as needed 
3. Support the release of production lots in accordance with Ultragenyx procedures 
4. Execution of Quality Systems in an Owner/SME or QA role, for Deviations, Change Controls and Product Quality Complaints 
5. Lead and actively participate in Continuous Improvement initiatives and projects, ensuring a focus on increasing both efficiency and quality output from all processes used by the CMC QA and cross-functional partners 
6. Design, develop, and review CMC QA standards and procedures (i.e., policy documents and SOPs). Review and support deployment of Quality Standards generated by the Quality System Department 
7. Support the Product Complaints function in investigating reported product quality events, as needed 
8. Represent Ultragenyx to Health Authorities during inspections 
9. Ensure activities and deliverables comply with FDA, EMA and local regulations and guidance, ICH guidelines, Ultragenyx policies, SOPs and industry best practices. 
10. Communicate and promote a culture of quality and operational excellence  
11. Other duties as assigned 

Requirements:

1. A Bachelor’s degree or equivalent work experience in QA Manufacturing Operations or related discipline.  
2. 8+ years of experience in a GMP biopharmaceutical manufacturing environment in technical operations and/or quality. 
3. Experience with management of Change Control process and Review Board. 
4. Experience with Product Disposition.  
5. Demonstrate quality mindset and influences across the entire organization. 
6. Strong understanding unique quality and manufacturing expectations from other regulatory authorities such as EMA, ANVISA, MHRA, etc. 
7. Expert knowledge of GMPs. 
8. Flexibility and the ability to manage change. 
9. Strong interpersonal skills and the ability to work well as part of a team. 
10. Demonstrated ability for analytical and systematic thinking. 
11. Experience with Product Complaint handling, investigations, and reporting a plus. 
12. Fosters an environment of accountability, diversity and speaking up. 
13. Demonstrated high personal and professional ethical standards. 
14. Travel up to 10% of total work hours.  

#LI-CT1 #LI-Hybrid

Who we are:

Our people are our greatest asset, and we are dedicated to fostering a positive culture where people are at the heart of everything we do. We believe in the power of collaboration and the importance of each team member in shaping our shared success. Our culture thrives on diversity, innovation, empowerment and progression. We live by our values and embrace creativity, using data driven insights and campaign effectiveness to deliver exceptional experiences for both our customers and our teams.

As an equal opportunity employer, we invest in our employees' development, prioritize their health and wellbeing, and nurture a culture that is ego free.

About the role:

As a Sales Coordinator, you will be an active member of the team working closely with both internal and external associates. This role is a combination of sales support and administration in a busy and varied environment. You'll be a part of a high-performance working culture ensuring top quality customer service is always maintained. 

An entry level role this would suit a confident graduate looking to step into Sales, or someone early in their media career who has excellent attention to detail and enjoys working in a fast-paced environment.

A day in the life:

Whilst there’s no typical day in the dynamic world of media, you can expect your role to involve the following:

• Supporting the Sales Team across all sales activities
• Assisting with building campaign proposals
• Create and run relevant reports such as MOVE, Fusion, Agile.
• Liaise with clients where necessary on campaign site lists and photography agreements
• Communicate with Trading & CTU to build campaign site selections & prepare advertising contracts for our clients
• Providing sales team with post analysis of advertising campaigns
• Assisting Account Managers with Salesforce opportunities updates and closing.
• Track bonus delivery agreed for campaigns set by salespeople.

About you:

You will be an ambitious self-starter who is happy to work in a fast paced, dynamic and constantly evolving business & industry. In addition to:

• Solid Administration skills
• Intermediate Microsoft Office skills - Outlook, Word, Excel and PowerPoint
• Problem Solving: Identifies and resolves problems in a timely manner; generates solutions
• Communication: Speaks clearly and persuasively; demonstrates good group presentation skills; writes clearly and varies style to meet need
• Ability to multitask
• Self-Management & Confidence
• Ability to work unsupervised
• Customer service orientation

Why join JCDecaux:

At JCDecaux your wellbeing, health, and safety are our top priority. We value and reward your contributions and ensure Belonging and Inclusion are at the heart of everything we do.

Benefits on offer:

• Opportunity to get an additional week of annual leave after your first year (25 days), volunteer leave, and dedicated celebration and wellness days.
• Participation in our bonus or OTE programs
• Access to comprehensive training and development opportunities, including personalised development plans and a range of in-person and online courses to support your career journey. Development which enables you to advance and reach your full potential.
• Parental leave and Market-leading fertility leave.
• Fully supported hybrid working arrangements (subject to role).
• Opportunities to be part of employee-led steering committees across Diversity & Inclusion, Reconciliation Action Plan (RAP), Corporate Social Responsibility (CSR) and Sustainability. Our dedicated DEIB committee champions are involved in initiatives like Pride Panel, International Women’s Day, and RAP. We also proudly partner with charities such as R U OK?, Oz Harvest, and Thread Together.

Join us and be part of a company where your ideas matter, your growth is a priority, and your contributions will help us lead the way in transforming the Out-of-Home landscape.

Position Summary:

The Manager, Accounting, will report to the Associate Director, Accounting and play a key role in supporting clinical and R&D accounting, as well as assisting with G&A accounting activities. This role will work closely with cross-functional teams throughout the company.

Responsibilities:

• Prepare and book journal entries for month-end close, including sub-ledger/ schedule to ledger reconciliations and analysis of reconciling items.
• Prepare R&D and contract manufacturing (CMC) accrual journal entries based on executed contracts and communications with department leads or vendors, maintaining related workbooks and roll-forwards.
• Prepare and manage clinical trial accruals for select CROs and vendors, maintaining accurate accounting workbooks and ensuring proper tracking of expenses.
• Track and maintain monthly accruals and prepaids for assigned vendors and accounts, collaborating with department leads to ensure accurate recording based on contracts and operational needs.
• Track and prepare open Purchase Order accruals based on contracts and services provided, working with PO owners to ensure timeline and accurate month-end accruals.
• Prepare prepaids amortization of assigned accounts and maintain accuracy of subledgers, ensuring that subledgers are maintained accurately and consistently.
• Continuously evaluate processes and recommend improvements to enhance efficiency and effectiveness.
• Maintain a thorough and current understanding of general ledger structure and ensure integrity and accuracy of financial data.
• Assist with SOX 404 efforts in documenting and performing the key controls in areas of responsibility.
• Supporting improvement of accounting policies and procedures to drive operational efficiency.
• Assist with annual audits and quarterly reviews, preparing audit schedules, and other audit requests.
• Provide support for special projects, initiatives, and ad-hoc analyses, as needed, or requested.

Qualifications:

• Bachelor’s degree in accounting, finance, or related field.
• 5+ years of relevant experience in biotech and/or pharmaceutical industry.
• Strong working knowledge of system processes, internal controls, GAAP and SOX regulations.
• Strong project management skills with the ability to anticipate events, prioritize assignments, deal with interruptions, and meet deadlines in a fast-paced and growth-oriented environment.
• Strong communication, project management, and organizational skills.
• Strong analytical skills and attention to detail.
• Ability to work independently as well as a collaborative team player.
• Self-starter, proactive, and willing to learn.
• Strong Excel skills
• Experience with inventory accounting in the pharmaceutical industry, a plus
• Experience with CRO/CMC accrual software, a plus.
• Certified Public Accountant (CPA), preferred.
• Experience with NetSuite, preferred.

About this opportunity:

At Freenome, we are seeking a Director, Technical Product Management to help grow the Freenome Product Management team. The ideal candidate is a seasoned leader who bridges the gap between complex molecular biology and scalable software products in a regulated environment. This person is responsible for the technical roadmaps, feature prioritization, software requirements, and specification definition related to Lab Information Management Systems (LIMS), laboratory automation, and software managing sample processing-to-result generation. You are passionate about building seamless, high-throughput clinical workflows that ensure data integrity and regulatory compliance, and you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. 

The role reports to the Director, Product Management. This role will be a Hybrid (based in our Brisbane, California headquarters) or Remote role. 

What you’ll do:

• Define and execute the multi-year technical roadmap for IVD/LDT software platforms, ensuring alignment with clinical needs and regulatory requirements.
• Lead feature prioritization and software requirements definition of LIMS, lab automation, and software managing the sample processing-to-result generation to optimize high-throughput sample processing and data integrity.
• Direct the integration of complex diagnostic hardware with cloud-based or on-premise processing software, focusing on seamless end-to-end workflows.
• Ensure all software products comply with global regulatory standards, including FDA, CLIA/CAP, ISO 13485, and HIPAA/GDPR data privacy requirements.
• Collaborate with R&D, Molecular Biology, Clinical Lab, Lab Automation, and Engineering teams to translate complex assay protocols into automated, scalable software requirements.
• Ensure compliance to Software Development Life Cycle (SDLC) for diagnostic products, from initial concept to commercial launch for deliverables owned by Technical Product Management.
• Manage cross-functional dependencies between wet-lab operations, bioinformatics pipelines, and software engineering teams to ensure timely product delivery.
• Establish and monitor key performance indicators (KPIs) for software reliability, processing speed, and diagnostic accuracy in a clinical laboratory environment. 

Must haves:

• 8+ years in Technical Product Management, with at least 4 years specifically in IVD, Medical Devices, or Clinical SaaS.
• Proven experience with LIMS/LIS and laboratory automation workflows.
• Deep familiarity with FDA software guidelines and CLIA regulations.
• BS/MS in Computer Science, Bioengineering, Molecular Biology, or a related field.
• Demonstrated experience managing and scaling technical product teams in a regulated environment.
  

Nice to haves:

• MS or PhD in a technical or scientific field.
• Experience with Next-Generation Sequencing (NGS) data pipelines.
• Hands-on experience with cloud infrastructure (AWS/Azure/GCP) in a GxP environment.

Benefits and additional information:

The US target range of our base salary for new hires is $220,400 - $281,400. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

Role

The Software & Data Science team at Vivodyne tackles some of the hardest problems at the intersection of human biology, large-scale data, and machine learning using uniquely rich imaging and multi-omics datasets from lab-grown human tissues.

We are expanding our capabilities to generate high-throughput -omics data across automated human tissue models, with a primary focus on single-cell and bulk transcriptomics, secretomics, and proteomics. We're looking for a Bioinformatician who can develop new analytical methods and build robust infrastructure to support them at scale.

You will define how we process, store, integrate, and interpret biological datasets, making foundational decisions that shape the long-term utility of our data for internal research, AI/ML model development, and external partners. This means owning both the science (what question does this analysis answer, and how defensible is the conclusion?) and the engineering (does this pipeline run reliably at scale, and can someone else extend it?).

This is a high-impact, cross-functional role. You'll sit within the Software & Data Science organization and collaborate daily with experimental biologists, AI/ML researchers, software engineers, and client-facing teams.

This is a full-time, onsite role in San Francisco.

Responsibilities

Develop and Own Analytical Methods

• Design, implement, and critically evaluate computational approaches for scRNA-seq, bulk RNA-seq, secretomics, and proteomics data including QC, normalization, batch correction, dimensionality reduction, clustering, differential expression, trajectory analysis, and multi-dataset integration.
• Go beyond applying standard tools: develop or adapt methods for perturbation modeling, causal inference, network reconstruction, ligand-receptor inference, and multi-omics integration as the science demands.
• Select and standardize tooling based on rigorous benchmarking, not convention. Challenge default choices when the data or use-case warrants it.

Build Scalable, Production-Grade Pipelines

• Architect end-to-end analysis workflows in Python and/or R using modern workflow orchestration (Nextflow, Snakemake, or equivalent) that are reproducible, version-controlled, and designed to run at the scale of tens to hundreds of thousands of samples.
• Partner with software and data engineers to productionize pipelines, ensure robust data ingestion and storage, and contribute to decisions on biological data architecture (storage formats, schema design, long-term data usability).
• Write well-documented, testable code that other engineers and scientists can run, review, and extend.

Drive Biological Insight and Interpretation

• Own dataset analysis to answer biological and client-driven questions with rigor. Ground conclusions in the limits of the data and clearly communicate what can and cannot be concluded with confidence.
• Partner with experimental biologists to frame the most relevant biological questions, design analyses, and recommend experiments and data-generation strategies to fill key gaps.
• Produce publication-quality figures, internal reports, and partner-facing deliverables that are decision-useful.

Shape Data Strategy

• Help define benchmarking strategies for internal tissue model development.
• Proactively identify opportunities to leverage internal and public datasets to accelerate scientific progress.
• Contribute to decisions around data standards, comparability, and the integration of omics features into downstream ML models and AI workflows.

Communicate Across Functions

• Translate complex multi-omic analyses into clear insights for biologists, AI/ML researchers, software engineers, and non-technical stakeholders.
• Tailor depth and framing to the audience while maintaining scientific rigor.

Requirements and Expectations

Technical Expertise

• Ph.D. in Computational Biology, Bioinformatics, Genomics, Systems Biology, Biostatistics, or a related quantitative field with deep focus on transcriptomics and/or proteomics.
• 2–5 years of post-PhD experience; some industry experience strongly preferred.
• Strong, hands-on proficiency in Python for bioinformatics (Scanpy and the broader scverse ecosystem in particular) with the judgment to know when existing tools are insufficient and the skill to build alternatives. Familiarity with R-based workflows (Seurat, Bioconductor, Monocle) is valued as evidence of breadth, but Python is the production language.
• Deep experience with scRNA-seq datasets and workflows, including QC, batch correction, clustering, differential expression, annotation, and integration across experiments.
• Experience with proteomics or secretomics analysis (Olink or similar high-dimensional panels), including normalization and cross-modality integration with transcriptomic profiles.
• Comfort in a Unix/Linux environment with standard dev tools (git, containers, CI/CD); experience with cloud environments (AWS) and workflow managers is a strong plus.
• Familiarity with data infrastructure for large-scale biological data (e.g., AnnData/H5AD, TileDB-SOMA, or similar) is a plus.

Problem Solving & Ownership

• Ability to independently structure and execute complex analytical projects from ambiguous initial questions to concrete, reviewable outputs.
• Strong biological intuition for distinguishing meaningful signal from artifact and the discipline to validate before interpreting.
• Comfortable navigating ambiguity in a fast-moving startup; can prioritize, make trade-offs, and hit agreed timelines.

Collaboration & Communication

• Excellent written and verbal communication; able to explain computational methods and biological implications to biologists, engineers, and non-technical stakeholders.
• Proven ability to collaborate across disciplines.

Innovation & Leadership

• Track record of taking omics analyses from raw data to figures/tables suitable for publications, reports, or decision meetings.
• Demonstrated ability to manage multiple analyses in parallel and ship work on predictable timelines.
• History of method development or meaningful adaptation of existing methods to novel data types or experimental designs.

Preferred Qualifications

• Experience with multi-modal data integration (e.g., combining imaging, transcriptomics, and proteomics features).
• Background in drug discovery, toxicology, or translational research where multi-omic data inform therapeutic decisions.
• Experience with representation learning or ML for biological data (embeddings for cells, genes, or proteins), especially in collaboration with ML specialists.
• Familiarity with organoids, primary tissues, or organ-on-chip systems.

Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.

About this opportunity:

At Freenome, we are seeking a Technical Product Manager to join the Freenome Product Management team. This role will be responsible for planning and coordinating the execution of Freenome’s engineering initiatives for the Commercial Data Platform and Data Products. You will create, plan and execute software development plans while ensuring efficiency, scalability and usability for our Commercial, Laboratory, and R&D teams. You will gather requirements and prioritize technical development in alignment with cross-functional teams and stakeholders.

This role will lead discussions with key-decision makers and stakeholders to create a comprehensive data platform roadmap outlining Freenome’s path to commercialization and support for ongoing product development. You will work closely with our engineering team, leveraging your deep knowledge in Agile methodologies (Scrum, Kanban, sprint planning, etc) to enable seamless execution. 

The role reports to the Associate Director, Technical Product Management. This role will be a Remote role, with onsite travel to our headquarters in Brisbane, California as needed. 

What you’ll do:

• Define requirements and manage the development processes, systems, and software infrastructure for the data platform and tools supporting Commercial and R&D initiatives.
  • Partner with lab and business stakeholders to elucidate requirements, optimize workflows, and lead data platform and product definition, ensuring alignment with regulatory standards (e.g., HIPAA, HITECH).
  • Work with engineers to translate product requirements into Epics and Stories with clear user acceptance criteria.
  • Track and drive development and ensure fulfillment of requirements using issue tracking system (e.g., Jira).
  • Lead and facilitate productive interactions between users and engineers to ensure user needs are understood and met.
• Create a thorough technical strategy and roadmap to scale Freenome’s commercial data platform, tooling, and data products to support current and future products.
  • Provide a clear and tangible vision for future development efforts with scalability and accessibility in mind.
  • Ensure complete data integrity throughout the pipeline with technical and process-oriented solutions
    

Must haves:

• Bachelor’s degree in an analytical, technical, or scientific field; advanced degree preferred.
• At least 5 years of experience in a software development environment, ideally within biotechnology and NGS.
• Deep expertise in identification and prioritization of software features.
• Demonstrated ability to successfully lead complex trade-off decisions between functions and  measurably improve organizational success and processes.
• Experience leading software development efforts to meet regulated market standards (FDA, CAP/CLIA), laboratory operations, medical affairs, or clinical study operations for diagnostics.
  

Nice to haves:

• Experience in building solutions with a focus on multiomics, NGS, or proteomics a plus.

Benefits and additional information:

The US target range of our base salary for new hires is $118,150 - $167,475. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

About this opportunity:

At Freenome, we are seeking a motivated Lab Technician to help grow the Freenome Scientific Operations team. The ideal candidate is eager to learn and able to work with urgency in an ever changing environment. This person is responsible for all things related to R&D support - reagents, equipment, consumables, study support.  You are passionate about fighting cancer, and you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Supervisor, R&D Labs. This role will be an Onsite role.

What you’ll do:

• Collaborate with the Research, Development, Automation, Facilities and Supply Chain teams to ensure consistent laboratory support.
• Assist Research Associates and Scientists in preparing and aliquoting reagents.
• Perform routine maintenance on a variety of laboratory equipment.
• Assist with troubleshooting R&D lab equipment issues using established SOPs and WI’s.
• Operate automated liquid handling platforms to execute automated procedures.
• Assist with monitoring cold storage temperatures and respond to temperature excursion events.
• Assist with organizing and maintaining R&D reagent and sample inventory documentation.
• Act as a role model by demonstrating adherence to all proper safety protocols.
• Perform Accessioning and processing of patient samples.
• Support Biosample Management by  picking and pulling samples.
• Contribute to Study Execution by performing Genomics workflows.
  

Must haves:

• Bachelor's Degree with 1-2 years of related experience.
• Strong communication skills and the ability to collaborate across disciplines.
• Experience in writing or updating documentation such as WI’s, SOPs and maintaining a detailed Lab notebook.
• Ability to follow SOPs and troubleshoot effectively.
• Strong understanding of current molecular biology techniques and DNA sequencing.
• Attention to detail and documentation practices within a repetitive work function.
  

Nice to haves:

• Valuable supplementary skills include:
  • Experience handling and preparing blood and tissue samples.
  • Proficiency with automated liquid handling platforms and software.
  • Experience setting up Illumina sequencers.
  • Experience maintaining laboratory equipment.
  • Experience writing or updating documentation such as work instructions and SOPs.
  • Experience working in BSL-2 laboratories and familiarity with 5S organizational practices.
    

Benefits and additional information:

The US target range of our hourly rate for new hires is $30.60 - $39.12. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-ONSITE

COMPANY OVERVIEW

ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities.

JOB OVERVIEW

The successful candidate will play a key role in achieving our customer acquisition and will be part of our rapidly growing sales team with multiple career paths available.

As an Account Executive you are responsible for but not limited to:

• Working with sales leadership to develop a sales plan and target list of accounts to penetrate, leveraging sales intelligence tools as needed
• Using our CRM to build your sales pipeline.
• Focus and commitment to crushing your outbound campaign targets
• Meeting / exceeding weekly and monthly performance targets 
• Outbound with the phone, email, and social media activities to thoughtfully engage potential prospects
• Regularly engage with account execs and sales & marketing leadership to discuss market feedback and learnings in order to refine your elevator pitch and target account lists.

REQUIRED QUALIFICATIONS

• Minimum of two years of outside sales experience; B2B sales preferred
• Experience in software-centric in SDR or BDR positions, preferred
• Proficient in identifying and engaging MSP or MSSP leads and in high volume outbound prospecting
• Experienced in CRM (Salesforce, Sugar, etc.) to build and maintain pipeline
• Effective oral and written communicator
• Startup experience, preferred
• Highly organized and adaptable to a dynamic work environment

WORKING CONDITIONS

The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed.

• Job will generally be performed in an office environment but may require travel to visit company offices and/or property locations.
• While performing duties of this job, would occasionally require to stand, walk, sit, reach with hands and arms, climb or balance, stoop or kneel, talk and hear, and use fingers and hands to feel objects and tools.
• Must occasionally lift and/or move up to 15kg.
• Specific vision abilities required include close vision, distance vision, depth perceptions, and the ability to adjust focus.

A background check and drug/substance screening are required after a conditional offer. Employment will proceed only upon receiving clear results from both.

ThreatLocker also conducts randomized drug and substance testing approximately every 60 days, in line with the same screening standards.

Associate Director, Quantitative Pharmacology and Pharmacometrics

Nurix Therapeutics is a biopharmaceutical company focused on the discovery, development and commercialization of small molecule therapies designed to modulate cellular protein levels as a novel treatment approach for cancer and immune disorders. Leveraging Nurix’s extensive expertise in E3 ligases together with its proprietary DNA-encoded libraries, Nurix has built DELigase, an integrated discovery platform to identify and advance novel drug candidates targeting E3 ligases, a broad class of enzymes that can modulate proteins within the cell. Nurix’s drug discovery approach is to either harness or inhibit the natural function of E3 ligases within the ubiquitin proteasome system to selectively decrease or increase cellular protein levels. 

Nurix’s wholly owned pipeline comprises targeted protein degraders of Bruton’s tyrosine kinase, a B-cell signaling protein, and inhibitors of Casitas B-lineage lymphoma proto-oncogene-B, an E3 ligase that regulates T cell activation.

Position

The Associate Director in the Clinical Pharmacology group will contribute to pharmacometric efforts across early and late-stage programs. As an early member of the Clinical Pharmacology group, you will have an opportunity to influence the direction of the clinical pharmacology group at Nurix. The successful applicant shall be proficient in developing and executing PK/PD modeling and simulation activities, such as but not limited to population PK/PD modeling, physiologically-based PK (PBPK) modeling and quantitative systems pharmacology (QSP) modeling. This includes data analysis and interpretation and presentation of findings to optimize doses, dosage regimens and study designs. The candidate will also author and review clinical pharmacology documents for submission and/or response to regulatory agencies. The candidate will be influential across multiple functions including individual contributors, development program teams, and the executive team.

Responsibilities

• Utilize quantitative approaches to impact model-informed drug discovery and development in areas such as human dose projections, dose regimen identification and optimization
• Lead and conduct pharmacometric workstreams such as but not limited to noncompartmental analyses, exposure-response analyses, population PK/PD modeling, PBPK modeling and QSP modeling, and running model-based simulations
• Conduct exploratory modeling activities to support decision-making and clinical strategy
• Collaborate across functions within the company and oversee contract vendors to advance pharmacometric efforts and activities
• Oversee and contribute to clinical pharmacology sections of clinical study protocols, SAPs, CSRs, stand-alone PK/PD reports, Clinical development plans
• Author and review clinical pharmacology documents for submission and/or response to regulatory agencies
• Actively identify state-of-the-art quantitative approaches in the field for potential applications to projects, including the use of artificial intelligence/machine learning (AI/ML) techniques

Qualifications

• PharmD or PhD or MS in a field related to Pharmacometrics with 8+ years of industry or similar experience in Pharmacometrics, Clinical Pharmacology or Quantitative Systems Pharmacology
• Extensive hands-on experience in using modeling and simulation techniques in pharmaceutical development, such as population PK/PD modeling, PBPK modeling or QSP modeling  
• Exceptional oral and written communication skills and excellent problem-solving skills
• Previous experience in authoring and reviewing clinical pharmacology documents for submission and/or response to regulatory agencies
• Demonstrated past performance of functioning efficiently in a dynamic, cooperative, team-oriented environment showcasing emotional intelligence (respect and empathy)
• High proficiency in using common software and data analysis packages (e.g., R, WinNonlin, Simcyp, GastroPlus, Monolix, NONMEM)
• Nurix is headquartered in Brisbane, California. This is an onsite position.

Salary Range:  208K– 240K plus bonus & equity.

Location:  Brisbane, CA – Onsite

Nurix Therapeutics, Inc. is committed to protecting and respecting your privacy and personal information, including information collected by Nurix when you apply for a job with Nurix or in the course of your employment with Nurix.  By applying for a position at Nurix, you agree to our collection and use of personal information as described in our Privacy Policy (https://www.nurixtx.com/privacy-policy/). 

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines, and expertise in creating reliable, scalable artificial intelligence/machine learning (AI/ML) systems in a cloud environment. 

The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimizing hardware utilization for efficient training, and performing model optimizations. As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission of reducing cancer mortality via accessible early detection.

The role reports to the Director of Machine Learning Science. This can be a hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Implement and refine DL pipelines on distributed computing platforms enhancing the speed and efficiency of DL operations including model training, data handling, model management, and inference.
• Collaborate closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines you create are perfectly aligned with scientific goals and operational needs.
• Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability.
• Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn and adapt new tools and frameworks, if necessary.
• Develop and maintain robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation pipelines.
• Act as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must haves:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerization technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimizing workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines. 
  

Nice to haves:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.
  

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325 You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-REMOTE

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, and the ability to thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.).
• Build new models or fine-tune existing models to identify biological changes resulting from disease.
• Build models that achieve high accuracy and that generalize robustly to new data.
• Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms.
• Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration.
• Take a mindful, transparent, and humane approach to your work.

Must haves:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
• Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modeling.
• Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
• Experience in NGS data analysis and bioinformatic pipelines.
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.

Benefits and additional information:

The US target range of our base salary/hourly rate for new hires is $173,775 - $246,750. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.).
  
• Build new models or fine-tune existing models to identify biological changes resulting from disease.
  
• Build models that achieve high accuracy and that generalize robustly to new data.
  
• Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms.
  
• Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration.
  
• Take a mindful, transparent, and humane approach to your work.
  

Must haves:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
• Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling.
• Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
  
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
  
• Experience in NGS data analysis and bioinformatic pipelines.
  
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
  
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.
  

Benefits and additional information:

The US target range of our base salary for new hires is $199,675.00 - $283,500.00. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Research Associate II to help grow the Process Development team within Genomics Early Development. The ideal candidate will work to optimize next-generation sequencing (NGS) processes and develop new methodologies on our multiomics platform. This person will work cross-functionally with Research & Development, Automation, Computation Science, Quality, Regulatory, Laboratory Operations, and Program Management on the development, characterization, scale-up and transfer of complex methodologies, processes and assays to Operations. You are passionate about contributing to developing life-saving diagnostics through early cancer detection, and you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Senior Manager of Genomics Early Development. This role will be an onsite role based in our Brisbane, California headquarters.

What you’ll do:

• Apply hands-on knowledge of molecular biology, nucleic-acid biochemistry and next generation sequencing to develop and optimize NGS based methods and processes.
• Execute experiments to characterize and optimize NGS workflows, converting prototypes into high-throughput automated assays.
• Participate in data analysis and visualizations to answer experimental questions and identify areas for workflow optimization.
• Present findings at team meetings and prepare technical reports for internal and external stakeholders.
• Collaborate with cross-functional teams to integrate process improvements into the overall diagnostic workflow.
• Assist with generating Standard Operating Procedures and Work Instructions with Laboratory Operations and Clinical Laboratory for transfer.
• Support troubleshooting workflow issues, perform root-cause determinant experiments and propose effective data-driven solutions.
• Maintain detailed records of experiments, data, results and methodologies in compliance with Good Laboratory and Documentation Practices (cGLP, cGDP).

Must haves:

• Bachelor’s or Master’s in Molecular Biology, Genetics, Biochemistry, or a related field with 2+ years of relevant industry experience.
• Hands-on experience in NGS based techniques, including nucleic acid extraction, library preparation, and sequencing.
• Experience with handling plasma and cfDNA in NGS workflows with low-volume, plate-based assay formats.
• Effectively communicates with team and cross-functional partners.
• High attention to detail - record and document accurate, objective observations, assess impact, and perform troubleshooting as needed.
• Excellent problem-solving skills, proactively looks for potential roadblocks, characterizes root causes to problems and collaborates with appropriate stakeholders.
• Ability to work independently as well as part of a cross-functional team.
• Flexible and adaptable to change and embrace a fluid work environment.

Nice to haves:

• Familiarity in a common scientific programming language (e.g., Python, R) is desirable.

Benefits and additional information:

The US target range of our hourly rate for new hires is $31.67 - $49.52. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-ONSITE

About this opportunity:

We are seeking a FP&A Manager to help grow the Freenome Finance team. The FP&A Manager will support planning for key business processes and requires strong financial reporting, forecasting, planning and modeling skills and excellent communication and collaboration skills and business judgment. The ideal candidate is both technically sound and can be a proactive internal consultant, beyond their analytical prowess through their understanding of secondary data, industry knowledge, and track record of innovative and impactful decision support. You will be a strategic architect of our financial future, moving beyond static reporting to provide the actionable insights that drive our commercial scale.

The role reports to the Chief Financial Officer (CFO) and is a critical and high visibility position interacting heavily with the business.

You are passionate about Finance and desire to have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

What you’ll do:

Strategic Business Partnering:

• Serve as the dedicated financial advisor to department heads (R&D, Commercial, Operations), translating complex financial data into a narrative that drives decision-making.
• Identify financial opportunities by deeply understanding the drivers of our diagnostic platform and product offerings.

Proactive Budget Management:

• Drive corporate planning processes through rigorous oversight of departmental budgets and forecasts, ensuring alignment with Freenome’s strategic priorities.
• Empower budget owners with self-service tools while providing the “guardrails” necessary for a public company environment.

Actionable Analysis and Reporting:

• Deliver effective monthly and quarterly reporting that drives accountability, scaled by leveraging technology.
• Establish, track, and report Key Performance Indicators (KPIs) specific to a commercial-stage diagnostic company, such as test volume, ASP, and COGS per test.
• Ensure resources are aligned with strategic and operating priorities and clear financial controls are maintained.
• Identify key business issues that impact short-term and long-range market forecasts; clearly and proactively surface these issues.
• Influence key decisions by delivering high value financial analysis that highlight root causes of variance, trends, and identify actionable opportunities to invest, reduce costs, and mitigate risks.

Systems Innovation and AI Integration:

• Build and refine the forecasting tools, short-term and long-term forecasts models.
• Support the implementation, buildout and continuous improvement of key financial systems, such as ERP, planning and budgeting systems and business Intelligence tools.
• Apply AI and machine learning tools to automate routine reporting and enhance predictive accuracy in our forecasting models.
• Collaborate with the broader organization to drive process and systematic improvements across the Company.

Must haves:

• Bachelor’s degree in Accounting/Finance/Business.
• Minimum of 8 years of progressive Accounting and Finance experience with at least 6 in FP&A and/or business partnering in a fast-paced, high-growth biotech, diagnostic, medical device environment.
• Willingness to roll up your sleeves, handle large amounts of data and build complex financial models.
• Excellent organizational and analytical skills with the ability to creatively solve problems with a data-driven approach.
• Ability to articulate complex financial concepts in understandable terms to non-finance professionals.
• Demonstrated ability to think strategically while maintaining a command of the details.
• Demonstrated ability to develop client group business acumen and provide actionable insights and recommendations to improve KPIs.
• Mastery of Excel and ERP systems (e.g. Netsuite) and proven experience implementing or optimizing FP&A software and a demonstrated interest in AI-driven analytics.
• Passion for automation and continuous improvement to reduce human error and dependency on spreadsheets.
• Proven experience building financial management processes, management reporting, and establishing the financial discipline required in a scaling organization.
• Well-versed in the requirements of a public company and adherence to all applicable laws, rules, and regulations.

Nice to haves:

• MBA/CPA or CFA a plus.
• Experience as a FP&A professional for single-site labs (FDA/CLIA diagnostics business) and/or reagent manufacturing environments.
• Knowledge of clinical diagnostics development, operations, portfolio management and commercial GTM planning.

Benefits and additional information:

The US target range of our base salary for new hires is $146,775 - $183,750. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID