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RWE Data Analyst

Indefinido
Chilly-Mazarin
Salario: No especificado
Sin trabajo a distancia

Sanofi
Sanofi

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Descripción del puesto

POSITION OVERVIEW:

Sanofi Genzyme (SGz) 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.  With a focus on rare diseases, multiple sclerosis and onco-immunology, we are dedicated to making a positive impact on the lives of the patients and families we serve. SGz's portfolio of transformative therapies, which are marketed in countries around the world, represent groundbreaking and life-saving advances in medicine.  SGz 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 Real World Evidence (RWE) Data Analyst will use statistical, analytical, data management and computational skills to execute analyses of pre-existing data to investigate research questions in collaboration with colleagues from health economics and value assessment (HEVA), medical affairs, business operations & strategy (BO&S) and commercial product teams. The Data Analyst will collaborate with these SGz functions and the RWE group located in the Chief Digital Office that maintains Sanofi data assets via primary data collection, license of secondary data sources, and de-identified clinical trial data. These responsibilities require a strong background in statistics, statistical programming, observational research design, and experience in the pharmaceutical industry.  This position will report to the SGz RWE Team Leader.

​JOB DUTIES AND RESPONSIBILITIES:

The RWE Data Analyst will be responsible for conducting analyses that Sanofi has defined as “Conventional Projects.”  These projects are intended to provide insights to inform key internal decisions.  These projects include, but are not limited to:

  • Characterizing disease epidemiology based on diagnostic code and/or treatment codes

  • Assess study feasibility based on patient population(s) available for analysis

  • Descriptive cohort analyses based on a limited number of outcomes

The RWE analyst will also be responsible for developing a deep understanding of Sanofi’s suite of digital tools and platforms.

BASIC QUALIFICATIONS

​Education:

  • ​BA/BS + 5 years of relevant experience OR MS/PhD + 2 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

Required ​Experience:

  • Working knowledge of statistical methods Experience applying epidemiological methods

  • Experience analyzing multiple sources of secondary patient data (eg. electronic medical records, administrative claims)

  • Demonstrated experience with business intelligence stacks, data visualization frameworks (Qlik, Tableau, Microstrategy etc.) and integration with data technologies

  • Experience using existing RWE platforms such as AETION, PANALGO will be a plus

Required Skills:

  • Expertise with R, SAS, python and/or pyspark.

  • Excellent written and verbal communication skills, collaboration and interpersonal skills

  • Ability to communicate technical details to non-expert audiences

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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