RWE Analytics Specialist

Sanofi • Morristown, MA

12d

About The Position

The RWE Analytics Specialist provides programming support and senior oversight for analyses and studies using large databases, such as administrative claims and electronic health records. The role collaborates with health economics and value assessment (HEVA), medical affairs, business operations and strategy (BO&S), and commercial product teams to understand research questions and translate them into actionable work for the analytics team. The specialist oversees study implementation and provides support and direction to data analysts, including guiding more junior team members.

The work includes assessing study feasibility across data sources, conducting exploratory analyses, analyzing secondary patient data, developing algorithms and statistical analyses plans, applying traditional modeling approaches, and communicating results through study tables, dashboards, or slide decks. The position reports to the RWE Analytics Lead, Evidence for Access, and is based in Cambridge, Massachusetts.

Requirements

• BA/BS and at least 5 years of relevant experience, or MS/PhD and at least 4 years of relevant experience.
• Academic training in mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field.
• Experience programming in R, Python, and SQL.
• Working knowledge of statistical methods.
• Experience applying epidemiological methods.
• Experience analyzing multiple sources of secondary patient data, such as electronic medical records and administrative claims.
• Experience leading studies and analyses using observational research designs and secondary data.
• Experience with U.S. secondary data sources, including administrative claims and electronic health records.
• Experience in the pharmaceutical industry.
• Experience guiding more junior team members through analysis implementation.
• Excellent written and verbal communication, collaboration, and interpersonal skills.
• Ability to communicate technical details to non-expert audiences.

Responsibilities

• Oversee implementation of analyses and studies and provide senior support and direction to RWE team data analysts.
• Assess study feasibility across available data sources, including new or less familiar sources.
• Propose and conduct exploratory analyses to understand data sources and inform study feasibility and design.
• Analyze data based on provided definitions using traditional programming or other digital applications.
• Characterize disease epidemiology, disease burden, and rates of prespecified outcomes using diagnostic or treatment codes and descriptive or comparative study designs.
• Review relevant literature for methods, code lists, or validated algorithms.
• Create statistical analysis plans and table shells from study protocols.
• Develop algorithms, including lines of therapy for oncology.
• Apply traditional modeling approaches, including regression and time-to-event analyses.
• Report results using study tables, dashboards, or slide decks.
• Communicate results to stakeholders.

Benefits

• Health and wellbeing benefits, including high-quality healthcare, prevention, and wellness programs.
• At least 14 weeks of gender-neutral parental leave.
• Employees may be eligible to participate in company employee benefit programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level