About the Role

The Benefits Specialist is a key member of the Total Rewards team, responsible for administering and managing employee benefits programs globally. This role ensures our benefits offerings remain competitive, compliant, and clearly communicated to all employees.

Key Responsibilities

• Benefits Administration:
  • Manage daily administration of global benefits, including medical, dental, vision, life insurance, short-term and long-term disability, retirement plans, time off, and leave of absence.
  • Process, audit, and submit monthly benefits invoices.
  • Coordinate with global brokers, vendors, and carriers for program delivery and issue resolution.
  • Partner closely with People Operations, Payroll, and other cross functional teams
• Employee Support and Communication:
  • Serve as a resource for employees, answering complex questions about plan provisions, eligibility, enrollment, and claims.
  • Create and manage clear, comprehensive benefits communications and resources (e.g., summaries, guides, intranet content) to ensure high employee understanding and engagement.
• Enrollment and Compliance:
  • Manage all aspects of open enrollment, including system configuration, employee education, and processing accurate enrollments, changes, and terminations.
  • Ensure ongoing compliance with all relevant federal and state regulations in the U.S. (e.g., COBRA, HIPAA, FMLA) and international statutory reporting requirements, including the preparation of required government filings (e.g., 5500s, ACA)
  • Conduct periodic data audits to ensure integrity and compliance with plan documents.
• Program Analysis and Improvement
  • Support benefit plan design and analysis by benchmarking current offerings
  • Analyze utilization data to measure program effectiveness and inform strategy
  • Propose process improvements and innovative solutions

Qualifications

• 3+ years of experience in global benefits administration, including in-depth knowledge of US and non-US benefits, regulations, leave requirements, and key international market practices
• Proven experience managing open enrollment and utilizing benefits enrollment systems
• High proficiency in Microsoft Excel for data analysis and reporting
• Strong written and verbal communication skills; ability to explain complex information clearly and empathetically.
• Self-starter with proven ability to work independently
• Experience with a global HRIS platform (UKG preferred).
• Demonstrated ability to handle confidential and sensitive information with discretion
• Bachelor's degree in Human Resources, Business Administration, or a related field

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 

The Data Product Manager will drive forward the evolution of Target RWE’s research data products, spanning both existing retrospective datasets and the development of new, differentiated offerings. This role is central to building high-quality research datasets derived from EHR data across Target RWE’s network of clinical sites, as well as linked data sources such as claims.

The Product Manager will lead cross-functional initiatives, including the development of novel research variables and the implementation of AI-enabled data curation at scale. You will partner closely with quantitative sciences, engineering, clinical, and data curation teams to translate clinical and scientific needs into robust, customer-ready data products.

This role requires deep familiarity with healthcare data and EHR documentation patterns, strong clinical research acumen, and the ability to apply clinical insight to ambiguous data challenges. The Data Product Manager reports to the Head of Data Innovation and is a core member of the Product organization.

What You’ll Do

• Own and drive cross-functional workstreams to build, maintain, and evolve Target RWE’s research datasets.
• Maintain product roadmaps for clinical research datasets in hepatology and other disease areas, incorporating input from stakeholders.
• Oversee end-to-end preparation and delivery of research datasets to customers.
• Manage customer-facing documentation, including analytic guides, training materials, and dataset documentation.
• Ensure data product quality by maintaining and prioritizing a backlog of enhancements and leading cross-functional investigations and improvements.
• Assist in the development of new research variables, from conceptual design through implementation, incorporating feedback from clinical and scientific experts.
• Design and conduct exploratory analyses of EHR data to understand how variables of interest are captured in real-world clinical documentation.
• Partner with engineering to pilot AI-based curation approaches, evaluate performance, and drive iterative improvements.
• Develop abstractor guidance and specifications, in collaboration with clinical and data curation teams, to produce gold-standard datasets for AI model training.
• Interface with pharma customers to educate them on Target RWE’s data products, answer questions, and understand real-world usage and needs.

What You’ll Bring

• Deep experience working with healthcare data, including EHR data and other patient-level data sources such as claims.
• 5+ years of experience in healthcare data, real-world evidence, or clinical research.
• Strong ownership mindset with a track record of delivering high-quality, complex work.
• Comfort with clinical concepts and the ability to interpret real-world EHR documentation; enthusiasm for building domain expertise in relevant disease areas.
• Strong data intuition, including understanding data models, designing basic analyses, and interpreting results.
• Comfort operating in ambiguous, evolving problem spaces.
• Ability to shape initiatives from the ground up, provide structure, and clearly scope work for cross-functional teams.
• Proven ability to drive complex initiatives and serve as the “quarterback” in a collaborative, cross-functional environment.
• Excellent written and verbal communication skills, including direct experience working with external customers.
• Familiarity with healthcare data standards and terminologies (e.g., LOINC, RxNorm, SNOMED) preferred.
• Clinical background (e.g., RN, NP) strongly preferred.

If you are ready to be part of a team where your work truly matters - where your expertise isvalued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful 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 office!
• Comprehensive health, dental, and vision 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

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful 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 office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

What You'll Do

We are seeking a Lead Actuarial Analyst, MA Risk Adjustment to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and use your 3+ actuarial exam progress to help translate complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. (This position is internally titled Lead Analyst, Risk Adjustment Analytics).

Essential Functions 

• Translate RA performance data into clear financial insights (i.e. revenue impact, payment accuracy, ROI, forecasting). 
• Analyze CMS data to identify areas of opportunity to increase operational efficiency. 
• Interpret trends, model scenarios, and assess program and policy impacts. 
• Enable data-driven decisions by linking operational performance to enterprise financial outcomes. 
• Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls. 
• Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i.e. staffing, tech, etc.). 
• Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted. 

Who You Are 

• A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity. 
• Able to manage a high volume of recurring and ad hoc deliverables without compromising quality. 
• Comfortable navigating ambiguity and bringing structure to complex problems. 
• An exceptional communicator who can translate technical findings into actionable business recommendations. 

Qualifications 

• 4+ years of experience in risk adjustment analytics. 
• 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data. 
• 3+ actuarial exams passed. 
• High degree of proficiency in Microsoft Excel and SQL.  
• Experience with PBI, Redshift, dbt docs is a plus. 
• Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance). 

Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10%

About the Position

We're looking for a Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help build and scale the data infrastructure that powers our drug development platform. In this role, your primary focus will be supporting the Data Science team — building the coherent, well-structured data models, feature engineering pipelines, and evidence layers that underpin their scientific work. You'll also be responsible for ingesting data from a wide variety of sources—APIs, files, databases, and licensed third-party datasets—and transforming it into clean, analytics-ready assets using modern data tooling.

This is a foundational engineering role for someone who takes pride in building things right: reliable pipelines, well-structured data models, and systems that others can trust and build on. You'll work closely with Data Scientists and other engineers across the SDI team to ensure that high-quality data is consistently available where and when it's needed — and structured in a way that directly accelerates scientific discovery.

The ideal candidate is deeply fluent in Snowflake and dbt, has strong opinions about data modeling best practices, and has experience handling large and complex datasets across diverse ingestion patterns. You thrive in environments where data quality and engineering rigor are treated as first-class concerns.

Responsibilities

• Partner closely with Data Scientists and other teams to build coherent data models, feature engineering pipelines, and structured evidence layers that directly support scientific analysis and machine learning workflows.
• Design and build scalable ingestion pipelines to onboard data from diverse sources including REST APIs, flat files, relational databases, and licensed third-party datasets.
• Develop and maintain robust data models in dbt, adhering to best practices around modularity, testing, documentation, and layered architecture (staging, intermediate, mart).
• Orchestrate pipelines using Dagster to ensure reliable, observable, and maintainable workflows.
• Implement data quality checks, validation frameworks, and monitoring to ensure trustworthiness of datasets across the platform.
• Collaborate with Data Scientists and analysts to understand data needs and translate them into well-structured, reusable models.
• Handle large-scale data movement and transfer scenarios, applying appropriate tooling and patterns to ensure efficiency and reliability at scale.
• Document data models, pipeline logic, and transformation assumptions to support discoverability and data governance.

About You

• You have 5+ years of experience in data engineering, with a strong track record of building and maintaining production-grade pipelines.
• You are deeply fluent in dbt and follow best practices rigorously—including modular model design, sources and refs, testing (schema + data), documentation, and environment management.
• You have hands-on expertise with Snowflake, including schema design, performance tuning, and data governance patterns.
• You have experience with at least one modern orchestration tool—we use Dagster, but experience with Airflow or Prefect is equally welcome.
• You have broad ingestion experience across source types: REST APIs, flat files (CSV, JSON, Parquet), relational databases, and vendor-licensed datasets.
• You have worked with large datasets (TB -> PB scale) and understand the engineering considerations that come with scale—partitioning, incremental loading, efficient data movement, and storage optimization.
• You're a strong data modeler who thinks carefully about how data is structured, named, and layered for downstream usability.
• You value documentation, testability, and building things others can maintain and extend.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You have experience with data quality and observability tooling such as Elementary, Great Expectations, or similar frameworks — and you treat data quality as a first-class engineering concern, not an afterthought.
• Bonus: You have experience with Spark, Databricks for large-scale data processing workloads.
• Bonus: You have experience with large-scale data transfer tooling such as AWS DataSync, AWS S3 Transfer Acceleration, or equivalent cloud-native data movement services.
• Bonus: You have experience in healthcare or life sciences data environments, including familiarity with EHR, claims, or other biomedical datasets.

Total Compensation Range: $177,500 - $232,000

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

Head of Statistics

Overview

NoviSci 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.

We are seeking a Head of Statistics who will own the statistical functional area- serving as the center of excellence for statistical rigor, methodology, methods standardization, and professional development across the organization. This is a hands-on leadership role for a methodologist who wants to build: building a team, building methods, and building the statistical backbone of real-world evidence software.

You will work shoulder-to-shoulder with the Head of Science, Product, Engineering, and Statistical Software Development, translating advanced causal inference and epidemiologic methods into robust software requirements, clear APIs, and scalable analytical tools. If you enjoy making hard statistical problems accessible, and care deeply about scientific credibility, this role is for you.

Statistical leadership & strategy

• In collaboration with the Head of Statistical Software Development, define and execute the statistical methods roadmap across products and services
• Serve as the functional center of excellence for statistical rigor, methods standardization, code reproducibility, and adoption of advanced causal inference and epidemiologic methods for real-world data
• Lead the development and implementation of causal inference, advanced epidemiologic, and statistical methods for real-world evidence generation, ensuring scientific rigor, transparency, and reproducibility
• Guide the design of longitudinal and observational study workflows, including uncertainty quantification and sensitivity analyses
• Represent NoviSci’s statistical perspective with external partners, clients, collaborators, and at scientific venues as a subject-matter expert

Product partnership (requirements, architecture, APIs)

• Collaborate with Product, Statistical Software Development, and Engineering to:
• Translate statistical and methodological needs into product requirements and roadmaps
• Advise on high-level system and architecture decisions
• Co-design API specifications (inputs/outputs, parameterization, defaults, error handling, diagnostics) and review PRDs/tech specs for statistical fidelity
• Provide reference implementations and simulation harnesses used as ground truth for verification; help design CI checks and validation datasets
• Establish documentation standards for methods notes, assumptions, and user-facing guidance

High-value scientific delivery

• Serve as a senior statistical contributor on select research pods, providing high-level expertise, validating analyses, and pioneering new methods
• Architect statistical designs for causal estimation of complex interventions under confounding, missingness, and dependent censoring
• Develop and review statistical analysis plans (SAPs), code, figures, and outputs for validity, reproducibility, and regulatory readiness
• Support quality and compliance processes in partnership with the Head of Operations, ensuring analysis validation, audit trails, and reproducibility standards are met

Thought partnership for clients

• Act as a senior statistical advisor to client teams (HEOR, Med Affairs, Epi); help mature their internal evidence pipelines and governance
• Evaluate statistical methodology choices for complex study designs, including distributed and federated analyses
• Guide clients on methods choices for regulatory submissions and HTA assessments

Team building & mentorship

• Serve as functional manager for all statisticians: hire, mentor, train, and conduct performance reviews
• Develop and enforce standards and SOPs for statistical analysis, code reproducibility, and methods adoption across the statistics group
• Foster a rigorous, supportive, and learning-oriented culture within the statistics functional group
• Uplevel engineers and PMs on statistical, advanced epidemiologic methods, including causal inference; uplevel statisticians on software craft (versioning, testing, CI/CD, profiling)

Required background

• PhD (or equivalent) in Biostatistics, Statistics, Epidemiology, or a related quantitative field
• 4+ years of post-doctoral experience spanning causal inference, advanced epidemiologic methods, statistical software development, and real-world data (claims, EHR, registries)
• Demonstrated track record of leading complex observational studies through publication and/or regulatory use
• Deep, hands-on expertise in causal inference and advanced epidemiologic methods for real-world data, including:
• Target trial emulation
• IP weighted estimators for confounding, missingness, and censoring
• Clone-censor-weighted estimation of dynamic treatment regimens
• Marginal structural models (MSMs), IPTW, and IPCW
• Uncertainty quantification and sensitivity analysis
• Proven ability to translate statistical and methodological requirements into product requirements, architecture trade-offs, and API designs in close partnership with engineering
• Strong experience with R, including package development, testing, and performance profiling
• Experience collaborating closely with software engineers in a production or near-production environment
• Evidence of thought leadership (publications, invited talks, open-source contributions, or methods papers)

Nice-to-have background

• Experience designing statistical APIs or platforms used by external customers
• Familiarity with regulatory expectations for RWE (e.g., FDA, EMA guidance on real-world evidence)
• Experience with CMS/Medicaid data governance and multi-source linkage/tokenization
• Prior experience managing or mentoring senior statisticians or data scientists
• Experience working in a fast-paced, product-driven or startup environment
• Comfort with protocol/report generators and figure/table QA pipelines (e.g., Quarto/R Markdown)
• Fluency with AI/ML coding tools (e.g., GitHub Copilot, Cursor) and comfort incorporating them into statistical programming and reproducible research workflows

If you’re excited to advance the science of real-world evidence in an environment where statistical rigor directly shapes both client impact and software innovation, NoviSci 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

• 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

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 

We are currently seeking experienced Market Access Lawyers to work with leading pharmaceutical companies.

Responsibilities

• Provide proactive, business‑oriented legal and compliance advice on market access, pricing, and reimbursement strategies for pharmaceutical and biologic products.
• Advise on government pricing and reporting (e.g., Medicaid Best Price, AMP, ASP, 340B, VA/FSS) and the impact of commercial contracting strategies on those obligations.
• Support coverage, coding, and reimbursement initiatives with market access, HEOR, trade/channel, and pricing teams.
• Draft, review, negotiate, and advise on a broad range of market access–related agreements, including:
  • PBM, payer, and GPO agreements
  • Wholesaler, specialty pharmacy, and distribution agreements
  • Discount, rebate, and value‑based/outcomes‑based contracts
  • Consulting, advisory board, master services, and data‑sharing agreements related to market access activities
• Counsel on the design and implementation of patient support programs, co‑pay assistance, and related arrangements, with attention to anti‑kickback and False Claims Act risk.
• Partner with commercial, medical, regulatory, and compliance teams to ensure that access‑related strategies, communications, and materials comply with applicable laws, regulations, and industry codes.
• Stay current on U.S. federal and state laws, regulations, and enforcement trends impacting market access, pricing, reimbursement, and interactions with payers, PBMs, and health care professionals.

Minimum Qualifications

• 5–8 years of experience as an attorney in a law firm and/or in‑house with a pharmaceutical or biopharmaceutical company, with a significant focus on market access, pricing, reimbursement, and/or government price reporting.
• Experience drafting and negotiating PBM, payer, GPO, wholesaler, rebate, and other market access–related agreements.
• Prior experience counseling on legal issues relating to advertising and promotion, scientific exchange, patient support programs, and interactions with health care professionals and payers.
• Strong knowledge of, and experience advising on, statutes, regulations, and guidance applicable to commercial and market access activities, including:
  • FDCA and FDA regulations and guidance
  • Federal and state anti‑kickback statutes and beneficiary inducement rules
  • OIG guidance documents and advisory opinions
  • False Claims Act
  • PhRMA Code and relevant industry standards
• Demonstrated ability to translate complex regulatory requirements into practical, risk‑based contracting and access strategies.
• Efficient multitasker with strong interpersonal and communication skills; able to work independently and cross‑functionally with market access, commercial, medical, regulatory, compliance, and finance teams.
• Positive, solutions‑oriented mentality and willingness to tackle new and evolving business needs in a fast‑paced environment.
• Licensed and in good standing to practice law in your state of primary residence.

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.   

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