At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

We are seeking a Principal to join Target RWE’s Quantitative Sciences (QS) organization. In this role, you will help shape how we design, execute, and communicate real-world clinical studies using Target’s data.

This is a highly cross-functional and client-facing role. You will bring strong analytical and scientific expertise, paired with the ability to apply the right level of methodological rigor for the question at hand, balancing credibility, practicality, and clarity. You will work closely with internal teams and external partners to ensure analyses are scientifically sound, clearly communicated, and aligned with real-world use cases.

You will serve as a key representative of Target’s scientific capabilities, engaging directly with pharmaceutical and biotech partners, supporting client discussions, and helping translate complex analytical approaches into clear, actionable insights.

What You’ll Do

Applied Methodology and Study Design

You will ensure that Target’s analyses are scientifically rigorous, practical, and aligned with real-world use.

• Guide the design of observational studies using real-world data, including retrospective and prospective analyses
• Apply statistical and epidemiologic methods in a practical, fit-for-purpose way
• Develop and review study protocols and statistical analysis plans
• Ensure analyses are reproducible, interpretable, and aligned with regulatory and scientific expectations
• Partner with internal teams to translate research questions into practical analytic approaches

Client-Facing Scientific Leadership

You will serve as a key scientific voice in client and partner interactions.

• Participate in and lead client meetings to explain study design, methodology, and results
• Translate complex analytical concepts into clear, accessible language for diverse audiences
• Support business development efforts by helping communicate Target’s scientific approach and data value
• Represent Target in external settings, including conferences, scientific collaborations, and partner discussions
• Build trust with clients by providing thoughtful, pragmatic, and credible scientific guidance

Cross-Functional Collaboration

You will connect data, analytics, and business needs across the organization.

• Partner closely with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams
• Help shape analytic strategies that align with both scientific goals and customer needs
• Provide guidance to the Quantitative Sciences team on study design and interpretation
• Mentor team members on balancing methodological rigor with practical execution
• Contribute to internal best practices for scalable, high-quality evidence generation

What You’ll Bring

• PhD or MS in biostatistics, epidemiology, health economics, data science, or a related field
• 10+ years of experience working with real-world data (EMR, claims, registry, or clinical trial data)
• Strong foundation in observational study design and applied statistical methods; experience with real-world pragmatic clinical trial designs is a plus
• Demonstrated ability to apply methods pragmatically, selecting the right approach for the problem
• Willingness to engage directly with data and analyses as needed, with working knowledge of R and/or SQL to support exploratory work, validation, and collaboration with analytic teams
• Experience working directly with clients or external partners in life sciences or healthcare
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly
• Comfortable operating in client-facing settings, including meetings, presentations, and scientific discussions
• Strong collaboration skills across technical and non-technical teams

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

About the Position

Formation Bio is seeking a highly skilled and experienced Senior Director, Biostatistics to join our dynamic team. This critical role will report to the Head of Biometrics and will be responsible for leading and developing the biostatistics team and strategy, driving impactful statistical initiatives, and leveraging biostatistics to advance our drug development processes.

The Senior Director, Biostatistics will play a key role in shaping innovative trial designs, supporting regulatory strategies, and ensuring high-quality statistical contributions across clinical development. They will also collaborate cross-functionally to integrate advanced analytics, data-driven decision-making, and AI applications into our development programs to improve efficiency and increase the probability of success.

Responsibilities

• Strategic Leadership: Lead and develop the Biostatistics team, fostering a high-performance culture aligned with Formation Bio’s mission and values. Provide mentorship and career development to ensure team growth and expertise.
• Statistical Strategy & Innovation: Drive statistical strategy across clinical development programs, incorporating optimal trial designs, simulation-based approaches, and AI/ML applications to enhance efficiency and decision-making. Guide clinical and regulatory strategies to optimize trial design and maximize the probability of success.
• Study Design & Execution: Provide expert statistical input into clinical study design, endpoint selection, analysis planning, and regulatory interactions. Explore innovative trial design options to identify the most effective clinical development strategy that aligns with business needs and optimizes decision-making. Ensure study designs are scientifically rigorous, operationally feasible, and aligned with regulatory expectations. Leverage AI-driven clinical trial automation to enhance study execution, optimize resource allocation, and improve trial efficiency.
• Regulatory & Cross-Functional Collaboration: Partner with Clinical, Data Science, Regulatory, and Business Development teams to support drug diligence, development and regulatory interactions, FDA briefing books, and submission-related activities. Represent Biostatistics in key regulatory meetings (e.g., FDA, EMA) to ensure statistical rigor in clinical development plans.
• Operational Excellence: Establish and refine statistical workflows, SOPs, and best practices to improve efficiency, quality control, and compliance with industry standards.
• Data-Driven Decision-Making: Champion data-driven approaches and quantitative decision-making frameworks, integrating scenario analyses and statistical trial simulations to optimize clinical trial execution and strategic development plans.
• External Engagement: Stay at the forefront of industry trends and regulatory expectations, representing Formation Bio in scientific discussions, conferences, and collaborations.
• Vendor & CRO Management: Oversee and manage statistical vendors, including consulting statisticians and CROs, ensuring high-quality statistical deliverables and compliance with GCP and regulatory standards.

About You

• Ph.D. in Biostatistics, Statistics, or a related field with 10+ years of experience in biostatistics within the pharmaceutical or biotech industry, statistical consulting firms, or CROs supporting clinical development.
• Proven experience leading biostatistics teams and strategies within clinical development.
• Deep expertise in statistical trial designs, adaptive designs, Bayesian methods, and simulation-based approaches for both early and late-stage development.
• Strong understanding of regulatory guidelines for drug development, including FDA and EMA requirements for statistical practice, regulatory submissions, and health authority interactions.
• Experience in quantitative decision-making frameworks to support internal Go/No-Go decisions. 
• Demonstrated track record of leading statistical contributions to progress assets from diligence, early development through regulatory submissions and approvals.
• Ability to collaborate cross-functionally with Clinical, Data Management, Programming, Data Science, Regulatory, and other teams.
• Strong problem-solving skills with the ability to balance scientific rigor with operational efficiency.
• Excellent communication skills, with the ability to convey complex statistical concepts into actionable insights for non-statisticians, senior management, and regulatory agencies.
• Proficiency in SAS, R (S-Plus), and statistical software for sample size calculations (e.g., East, PASS, NQuery). Expert R programming skills are a plus.
• Passion for innovation, AI-driven methodologies, and data-driven decision-making in clinical development.

Total Compensation Range: $311,000 - $385,000

About the Position

We're looking for a Senior Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio.

This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders.

The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization.

Responsibilities

• Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP.
• Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine.
• Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness.
• Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses.
• Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use.
• Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation.
• Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership.

About You

• You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets.
• You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes.
• You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows.
• You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction.
• You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. 
• You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows.
• You value clarity, documentation, and structured thinking—especially when working with complex healthcare data.
• You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data.
• Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing.

Total Compensation Range: $204,500 - $267,000

Join Our Team as Clinical Trial, Commercial & R&D Counsel at Axiom

Location: Remote

We are seeking experienced attorneys to support legal teams within the pharma and health systems space. This role focuses on drafting, reviewing, and negotiating a broad range of commercial and research-related agreements, with an emphasis on global work, clinical research organizations (CROs), and research & development (R&D) transactions. Both full-time and part-time opportunities are available.

Key Responsibilities

• Draft, review, and negotiate a wide range of agreements, including:
  • Master Services Agreements (MSAs)
  • Statements of Work (SOWs)
  • Clinical Trial Agreements (CTAs)
  • Non-Disclosure Agreements (NDAs) and Confidential Disclosure Agreements (CDAs)
  • Consulting Agreements
• Provide legal support for global transactions and cross-border collaborations
• Advise on and support engagements with Clinical Research Organizations (CROs)
• Handle R&D-related legal work, including:
  • Pre-clinical research agreements
  • Sponsored research agreements (e.g., industry–academic collaborations)
  • Material Transfer Agreements (MTAs)
• Support licensing and collaboration agreements within the life sciences space
• Partner with business stakeholders, including business development and licensing (BD&L) teams, on strategic and operational initiatives
• Contribute to structuring and negotiating research collaborations and related transactions

Qualifications

• J.D. and active bar membership in good standing
• Experience in the pharmaceutical, biotech, medical device, or health system sectors (a blend is preferred)
• Demonstrated experience in at least one of the following priority areas:
  • Global transactional experience
  • Working with Clinical Research Organizations (CROs)
  • R&D legal work, including pre-clinical and sponsored research
• Familiarity with intellectual property transactions in the life sciences space
• Experience supporting licensing, collaboration, and research agreements
• Strong drafting, negotiation, and stakeholder management skills

Compensation: 

The estimated total compensation for full-time Axiom attorney roles is $104,500-325,000 per year and for non-attorney roles is $71,250-309,750 per year. Compensation decisions are based on various factors, including, but not limited to, experience, skills, certifications, location, and business needs.  Employees may be eligible for additional benefits, including health, dental, and vision insurance; paid holidays and PTO; flexible work arrangements; and professional development opportunities and tools. 

About Axiom: 

For over 25 years, Axiom has pioneered the alternative legal services industry, now serving more than 1,500 legal departments globally with our unique blend of world-class legal talent and advanced AI tools, delivering innovative solutions ranging from that combine top-tier talent with cutting-edge technology. We tackle complex legal matters across 12 practice areas for clients ranging from Fortune 100 to SMBs, empowering our legal professionals to engage in meaningful work that advances their careers. Our Talent NPS score of +71% and our Client NPS score of +64% highlight our commitment to excellence (Reported scores were Axiom’s average for 2025 – the legal industry average NPS score is +35%). Join our forward-thinking community where you’ll keep your career dynamic and multi-faceted, be part of a company that values agility, collaboration, and excellence, and love both the law and your life. 

Learn more about life at Axiom.  

Axiom is the global leader in high-caliber, on-demand legal talent. Covering North America, the UK, Europe, and APAC, we enable legal departments to drive efficiency and growth and meet the demands of today’s business landscape with best in class alterative legal services.   

Diversity is core to our values and we are proud to be an equal opportunity employer. Axiom ensures equal employment opportunity in recruitment and employment, without discrimination or harassment on the basis of race, color, nationality, national or ethnic origin, religious creed or belief, political opinion, sex, gender, gender identity, gender identity status, pregnancy or maternity, age, disability, alienage or citizenship status, marital (or civil or other partnership recognized by law) status, genetic predisposition or carrier status, sexual orientation, military service, or any other characteristic protected by applicable law. Axiom prohibits and will not tolerate any such discrimination or harassment. 

Upon request and consistent with applicable laws, Axiom will provide reasonable accommodations for individuals with disabilities who require accommodations to participate in each stage of the recruitment process. To request an accommodation, please contact benefits@axiomlaw.com. 

Axiom respects your privacy. For an explanation of the kind of information we collect about you and how it is used, our full data privacy notice is available here.    

Employment with Axiom may be contingent upon successful completion of a background check, providing proof of identity, and possessing the necessary legal authorization to work. Pursuant to the San Francisco Fair Chance Ordinance, NY Fair Chance Act, and Los Angeles Fair Chance Initiative, we will consider for employment qualified applicants with arrest and conviction records. 

 #LI-LC3

Advanced Practice Clinician (Clinical Lead) - Hepatology

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

Target RWE is seeking an energetic, experienced Advanced Practice Provider (NP, PA or MD/DO) to support our expanding Hepatology therapeutic area in the real-world evidence space. This individual will bring deep expertise in managing complex liver diseases, with a specific focus on cirrhosis, leveraging the unique perspective of an APP.

The APP Clinical Lead reports to the Chief Clinical Officer and is responsible for assisting with clinical aspects of Target RWE's hepatology clinical evidence generation, ensuring scientific rigor and strategic alignment with industry partners while delivering high-quality, impactful insights within a collaborative, scientific environment.

What You’ll Do

• Hepatology Clinical Leadership: In collaboration with the Chief Clinical Officer, facilitate the development and execution of hepatology real-world evidence (RWE) and prospective studies, ensuring relevance to liver disease, methodological soundness, and alignment with industry partner needs.
• Industry Partner Collaboration: Serve as a key clinical liaison for industry partners within the hepatology space, understanding their evidence generation needs, and working within a collaborative team environment to translate them into actionable RWE projects.
• Scientific and Clinical Oversight: Provide expert clinical guidance across all phases of Target RWE hepatology projects, from protocol development to data accuracy, data analysis, interpretation, and dissemination.
• Thought Leadership: Represent Target RWE as a thought leader in hepatology clinical evidence generation, participating in scientific conferences, publishing research, to advance the field.
• Strategic Growth: Contribute to the overall strategic direction of Target RWE, identifying opportunities for growth and innovation within hepatology research.

What We Are Looking For

• Clinician, e.g. Nurse Practitioner (NP), Physician Assistant (PA), or medical doctor (MD/DO), with active credentials and certification.
• 5+ years of clinical experience managing patients with liver disease, including a strong focus on patients with cirrhosis.
• Direct clinical experience working at a medical center affiliated with a liver transplant program.
• Deep knowledge and experience with current and emerging therapies across the hepatology landscape.
• Strong communication skills with the ability to translate complex science into clear strategic insights.
• Comfort working in a fast-paced, collaborative, and entrepreneurial environment.

Preferred Qualifications

• Demonstrated experience in clinical research, real-world evidence, epidemiology, or clinical trials.
• Prior experience in biopharma, CRO, health tech, or RWE organizations.
• Record of scientific contributions (e.g., publications, trial support, advisory roles).
• Experience working with large real-world datasets (EHR, claims, registries)
• Additional clinical experience managing patients with Gastrointestinal (GI) diseases.

If you’re excited to contribute to systems that support meaningful healthcare research, where your expertise directly contributes to trust, compliance, and patient impact, Target RWE is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Hybrid work — 3 days/week in our brand-new RTP office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

NoviSci, a division of Target RWE, is a data science organization with a dual mission:

1.  Developing best-in-class software to support the generation of RWE and
2.  Executing high-impact, tech-enabled scientific consulting and research.

Overview

We are currently seeking a Senior Epidemiologist to join a team of epidemiologists, statisticians, data engineers, and software developers. Together, you will lead the design and implementation of research studies using complex, real-world data. In this role, you will apply leading-edge methodology in epidemiology and statistics to solve important problems in health care.  

What You’ll Do

• Independently design and conduct research studies using advanced epidemiologic and statistical methods, such as causal inference and machine learning
• Lead a cross-functional technical team to ensure scientific integrity and methodological rigor across all phases of the study lifecycle including initial design, protocol development, implementation of statistical analysis, and dissemination of results
• Serve as a key scientific point of contact, engaging directly with clients and external collaborators. Comfort and proficiency in client-facing roles are essential skills 
• Disseminate study findings via study reports, presentations to internal and external stakeholders, peer-reviewed publications, and abstracts and presentations at professional conferences
• Provide technical support to the business development team to develop competitive scientific proposals 

What You’ll Bring

• Advanced degree (PhD or equivalent) in epidemiology, biostatistics, or a related quantitative discipline
• 4+ years of post-doctoral experience, preferably in a biotech or scientific consulting environment
• Experience with observational research methods for causal inference (e.g., inverse probability weighting, negative control outcomes/exposures, target trial emulation, quantitative bias analyses) coupled with a genuine intellectual curiosity to dig deep and explore novel approaches to answer hard questions
• Demonstrated experience leading research projects teams from conception to publication 
• Experience with administrative claims or electronic health record data, including familiarity with using diagnosis, procedure, and medication coding algorithms to operationalize eligibility criteria, exposure status, and clinical outcomes in real-world data.
• Strong aptitude for precise and impactful scientific writing evidenced by a record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation. 
• Strong organizational and planning skills including an ability to independently troubleshoot problems and think analytically in a fast-paced environment
• Willingness to take initiative while maintaining open lines of communication with colleagues and senior leadership. 
• Excellent time management skills and ability to multi-task and prioritize work

Nice-to-Have Background

• Expertise in statistical programming using R
• Experience mentoring junior research staff

If you’re excited to help support meaningful healthcare research, where your expertise directly contributes to rigor, trust, and improved patient outcomes, NoviSci is the place for you. We’re building something important, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

In this role, you will be a foundational member of Target RWE’s Quantitative Sciences (QS) organization, helping to establish Target as a leader in rigorous, reproducible, and regulatory-grade evidence generation. You will serve as a scientific owner of Target’s data, developing deep expertise in its structure, quality, and applications while helping to build scalable data validation, curation, and analytic processes that ensure reliability and usability.

Working closely with cross-functional partners in Product, Engineering, Clinical Operations, and Medical Science, you will design and execute analyses that demonstrate the value of Target’s data, support customers across life sciences, regulatory, and academic settings, and build scalable, standardized analytic approaches for real-world evidence generation.

What You’ll Do

1. Data Ownership and Quality 

• You will establish Target’s data as a trusted, validated scientific asset.
• Ensure Target’s data are accurate, complete, and fit for regulatory and scientific use by building systems and practices that establish trust in data integrity and readiness for analysis.
• Develop deep expertise in Target’s data, understanding its structure, provenance, strengths, and limitations.
• Design and implement validation frameworks, data quality checks, and “fitness-for-use” assessments.
• Create and maintain data dictionaries and documentation that promote transparency and reproducibility.

2. Analytical excellence 

• You will apply advanced analytic methods and scientific rigor to generate reliable, reproducible, and regulatory-grade real-world evidence from Target’s data assets.
  • Support the design and execution of retrospective and prospective studies using Target’s data assets.
  • Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses.
  • Design and implement scalable, reusable analytic frameworks and modular code structures that support consistent execution across therapeutic areas and data products.
  • Apply best practices in methodology, version control, code review, and documentation to ensure reproducibility.
  • Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences.
  • Contribute to publications, abstracts, and collaborations that advance Target’s scientific reputation and influence.

3. Cross functional partnership

• You will work cross-functionally to connect data, science, and strategy, ensuring Target’s evidence generation aligns with customer needs and business goals.
• Partner closely with Commercial, Medical Science, Product, Data Insights, Engineering, and Clinical Operations teams to align on data strategy and analytic priorities.
• Serve as the internal “voice of the customer,” anticipating how clients, regulators, and researchers will use Target’s data.
• Participate in client and partner meetings to demonstrate the validity and value of Target’s data products.
• Leverage your deep knowledge of Target’s data assets to guide internal teams and external partners, anticipating analytical and operational challenges and helping to shape data use strategies.
• Translate analytic findings and data characteristics into clear, client-facing materials that demonstrate Target’s data quality, representativeness, and scientific utility.

What You’ll Bring

• Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field. 
• 5-10+ years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).
• Strong programming expertise in R, and experience with reproducible analytic frameworks.
• Proven expertise in data quality assessment, validation, and curation workflows.
• Demonstrated ability to build and maintain reproducible coding practices and scalable analytic processes that enable efficiency, transparency, and consistency across studies.
• Strong communication, presentation and collaboration skills with cross-functional technical and scientific teams.
• Demonstrated ability to translate data insights into actionable scientific or business recommendations.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

Position Summary:
The Senior Contracts Attorney will play a key role in managing and negotiating a broad range of agreements supporting all aspects of business operations. This position requires strong expertise in contract law, preferably with experience at a public life sciences company. The successful candidate will demonstrate exceptional organizational skills, the ability to manage multiple priorities, and have a proactive approach to problem-solving and stakeholder engagement.

Responsibilities:

• Draft, review, negotiate, and manage a wide variety of contracts, including but not limited to CDAs, consulting agreements, master service agreements, vendor agreements, real estate contracts, clinical trial related contracts and research collaborations.
• Serve as a subject matter expert on contract matters and processes and provide guidance to internal stakeholders.
• Collaborate with cross-functional teams (Clinical Operations, Finance, Procurement, HR, Manufacturing, Research) to ensure compliance and efficiency in contract execution.
• Develop and maintain standardized templates and processes for contract management.
• Provide training and support to business units on contract requirements and approval workflows.
• Advise stakeholders on contractual rights, obligations, and risk mitigation strategies.
• Identify and resolve issues impacting timely completion of contracts.
• Utilize e-signature platforms and ensure proper document finalization and execution.

 Qualifications:

• Juris Doctor (J.D.) from an accredited law school.
• Minimum of 5 years of experience drafting, negotiating, and managing contracts, preferably in a public life sciences company.
  • Experience in a law firm and/or in-house legal department required.
• Comprehensive understanding of contract law and working knowledge of drug development or commercialization a plus.
• Exceptional negotiation, drafting, and analytical skills.
  • Strong organizational and time-management abilities; capable of handling multiple projects under tight deadlines.
  • Excellent interpersonal and communication skills with a customer-service mindset.
  • Ability to work independently and collaboratively in a fast-paced environment.
• Admission to the bar in at least one U.S. state.