Associate Director, Real World Evidence (RWE) Analytics

Role Description

The successful Associate Director, Real World Evidence (RWE) Analytics will provide programming support and senior oversight to implementation of analyses and studies in large databases (e.g. administrative claims, electronic health records). The individual in this role will work in close collaboration with health economics and value assessment (HEVA), medical affairs, business operations & strategy (BO&S) and commercial product teams to understand research questions and translate those into actionable items for the analytics team.

These responsibilities require a strong background in data sciences, including statistics and programming. Experience leading studies and analyses that use observational research design and secondary data, experience with secondary data sources such as administrative claims and electronic health records in the US and experience in the pharmaceutical industry are required. Experience guiding more junior team members through the implementation of analyses is a must.

This position will report to the Rapid Analytics and Statistics Team Lead.

Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs.

Main Responsibilities

• Oversee the implementation of analyses and studies and provide senior support and direction to Data Analysts on the RWE team.
• Assess study feasibility in a variety of data sources available for analysis, including new or less familiar data.
• Propose and conduct exploratory analyses that allow deep understanding of a data source at hand.
• Analyze data based on provided definitions using traditional programming or other digital applications.
• Characterize disease epidemiology, burden of disease, rates of pre-specified outcomes based on diagnostic codes and/or treatment codes using descriptive and comparative study designs.
• Review relevant literature for methods, lists of codes or validated algorithms.
• Create statistical analyses plans and table shells from study protocols.
• Analyze data using traditional programming or other digital applications.
• Develop algorithms, such as lines of therapy for oncology.
• Utilize traditional modeling approaches, including regression and time to event analyses.
• Report results in the form of study tables, dashboards or slide decks.
• Communicate results to stakeholders.

Qualifications

• BA/BS + 5 years of relevant experience OR MS/PhD + 3 years of relevant experience.
• Academic training in the areas of mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field (preferred).

Requirements

• Experience programming in R, Python, and SQL.
• Working knowledge of statistical methods.
• Experience applying epidemiological methods.
• Experience analyzing multiple sources of secondary patient data (e.g., electronic medical records, administrative claims).

Required Skills

• Expertise with R, Python, and/or SQL.
• Excellent written and verbal communication skills, collaboration and interpersonal skills.
• Ability to communicate technical details to non-expert audiences.

Benefits

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.