Director, Real-World Evidence & Epidemiology Analytics

SoTalent; Princeton (NJ); Hybrid; USD 231,000 - 347,000; Full time

Benefits offered by this job

401(k) with 100% matching on the first

Medical, dental and vision coverage

Paid vacation, sick leave and holidays

12 weeks of discretionary paid paren­t

Tuition reimbursement

Commuter benefits

Lifestyle spending account

Backup care and family support

Job summary

Sotalent is seeking a Director of Real-World Evidence and Epidemiology Analytics to lead observational research and advanced analytics using real-world data. You will develop data infrastructure, drive AI-enabled analytics, and support clinical development, market access and health policy decisions.

The role requires 10+ years in RWE/epidemiology, expertise in survival analysis and causal inference, and hands-on SAS/R/Python programming.

Qualifications

• Master's or PhD in Epidemiology, Biostatistics, Public Health or related discipline.
• 10+ years of real-world evidence generation and epidemiology analytics.
• Experience with survival analysis, regression, IPTW, MAIC and causal inference.
• Hands-on programming with SAS, R and/or Python on real-world data.
• Strong stakeholder management and communication skills.

Responsibilities

• Design, lead and report observational and epidemiological studies across therapeutic areas.
• Assess feasibility and identify real-world data sources (claims, EHRs, registries).
• Advise on RWE methods, study protocols and analytic approaches.
• Support HTA activities through survival and economic modelling.
• Oversee study execution, including analysis plans, statistical programming and reporting.
• Lead AI applications within RWD and epidemiology analytics.
• Present findings to technical and non-technical stakeholders.
• Mentor scientists and programmers; ensure reproducible processes.

Skills

Observational study design

Statistical modelling

SAS

R

Python

AI/ML frameworks

Stakeholder management

Publications/Scientific writing

Education

Master's or PhD in Epidemiology/Biostatistics/Public Health

Tools

SAS

R

Python

Job description

Director, Real-World Evidence (RWE) & Epidemiology Analytics

Work Arrangement: Hybrid - flexibility to work remote 20-40% of the schedule

Employment Type: Full-time

Salary: $231,280-$346,920 per year

About the Role

An opportunity is available for a Director of Real-World Evidence and Epidemiology Analytics to lead observational research, epidemiological studies and advanced analytics using real-world data. The role combines scientific and technical leadership with the development of data infrastructure and AI-driven analytical capabilities to generate evidence supporting clinical development, market access and health policy decisions.

Key Responsibilities

• Design, lead and report on observational and epidemiological studies across therapeutic areas and indications.
• Conduct feasibility assessments and identify appropriate real-world data sources, including claims, electronic health records, registries and patient-generated data.
• Advise on RWE and epidemiological methods, study protocols and analytical approaches.
• Support health technology assessment (HTA) activities through survival and economic modelling.
• Oversee study execution, including analysis plans, statistical programming, data management, quality control and final reporting.
• Apply advanced statistical methods, including survival analysis, regression, inverse probability of treatment weighting (IPTW), matching-adjusted indirect comparisons (MAIC) and causal inference.
• Evaluate emerging data sources, including social determinants of health, genomics, biomarkers and clinical notes.
• Lead the development and implementation of AI applications within RWD and epidemiology analytics.
• Present research findings and translate complex analytical results into actionable insights for technical and non-technical stakeholders.
• Mentor and develop scientists and programmers, supporting technical growth and research quality.
• Establish standardised processes for study execution, documentation, data governance and reproducibility.
• Partner with data and technology teams to scale analytical infrastructure while maintaining data security and regulatory compliance.
• Contribute to departmental strategy and cross-functional initiatives.

Requirements

• Master's or PhD in Epidemiology, Biostatistics, Public Health or a related discipline.
• 10+ years of experience in real-world evidence generation and epidemiology analytics.
• Strong expertise in observational study design, epidemiological methods and statistical modelling.
• Experience with survival analysis, regression, IPTW, MAIC and causal inference.
• Hands-on statistical programming experience using SAS, R and/or Python with real-world claims or EHR data.
• Knowledge of AI/ML frameworks and their application to real-world analytics.
• Proven ability to evaluate and work with diverse real-world data sources.
• Strong stakeholder management, communication and presentation skills.
• Track record of peer-reviewed research publications.
• Ability to lead cross-functional projects and work independently in a fast-paced environment.
• Strong strategic mindset connecting scientific evidence with clinical and commercial objectives.
• Annual salary range of $231,280-$346,920.
• Potential discretionary bonus and long-term incentives.
• 401(k) with 100% matching on the first 6% of contributions.
• Medical, dental and vision coverage.
• Paid vacation, sick leave and holidays.
• 12 weeks of discretionary paid parental leave.
• Backup care and family support programmes.
• Tuition reimbursement, commuter benefits and lifestyle spending account.