Associate Director, Real World Evidence (RWE) Analytics

Job title: Associate Director, Real World Evidence (RWE) Analytics

• Location: Morristown, NJ
  
  

About The Job

Sanofi has pioneered the development and delivery of transformative therapies for patients affected by debilitating diseases for over 30 years. We accomplish our goals through world-class research, collaboration with the global patient community, and with the compassion and commitment of our employees. Within Specialty Care, with a focus on rare diseases, onco-immunology, and neurology, we are dedicated to making a positive impact on the lives of the patients and families we serve. Sanofi’s Specialty Care portfolio of transformative therapies, which are marketed in countries around the world, represent groundbreaking and life-saving advances in medicine. Sanofi employees benefit from the reach and resources of one of the world's largest pharmaceutical companies with a shared commitment to improving the lives of patients.

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.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

The Associate Director, RWE Analytics will be responsible for overseeing the implementation of analyses and studies and providing Senior support and direction to Data Analysts on the RWE team.

These Projects Include, But Are Not Limited To

• 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 (e.g., ability to generate insights and visualize output that allows researchers to make decisions about study feasibility and study design)
• Analyze data based on provided definitions using traditional programming or other digital applications
• Characterizing 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
• Analysis of data using traditional programming or other digital applications
• Development of algorithms, such as lines of therapy for oncology
• Traditional modeling approaches, including regression and time to event analyses
• Reporting of the results in form of study tables, dashboards or slide deck
• Communicating results to stakeholders
  

Education

About You

• 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)
  
  

Required Experience

• 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)
• undefinedRequired SkillsExpertise with R, Python, and/or SQLExcellent written and verbal communication skills, collaboration and interpersonal skillsAbility to communicate technical details to non-expert audiences
  
  

Why Choose Us?

• 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.
  
  

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.