RWE Data Analyst

Job description

JOB SUMMARY:


The Real World Data and Analytics position integrates data management and analytics skills with computational background to significantly impact the delivery of the RWE&CO projects. The incumbent will support the development and maintenance of applications used for design, analysis, and reporting purposes and he/she will secure the maintenance of observational data obtained via primary data collection or license of secondary data sources, as well as de-identified clinical trial data.

JOB DUTIES AND RESPONSIBILITIES:


A RWE Data Analyst will collaborate with RWE Investigators and Analytics on the analysis and interpretation of specific epidemiological/outcomes research studies where the RWE DA will have responsibilities across data management, statistical input, and execution of analysis for specific epidemiological/outcomes research studies. He/She will need to be able to work independently on these efforts and work with other Analytics team members to provide rapid, thorough and creative data and analytics solutions.

This role requires taking on a range of activities:

·  Develop and maintain a strong working relationship with statisticians, modelers, pharmacometricians, translational scientists, RWE investigators, Advance Analytics and IT partners bringing a deep understanding of the available data and core statistical approaches and visualization tools.
·  Maintain a keen awareness of developments in data technologies, analytics, methods and systems.
·  Be a go-to person for data processing, traditional statistical and analytics platform support.
·  Hands on implementation of analytical solutions, data access, and management technologies.
·  Present internally and externally on a regular basis on data solutions and applications.
·  Provide technical and analytical expertise, coupled with knowledge of disease or human biology.

REQUIRED EXPERIENCE

·  Bachelors + 3 yrs experience or Masters + 1 yrs or PhD in relevant area, or similar mix of aptitude for learning and scientific research)
·  Experience using basic and advanced epidemiologic statistics, with experience with claim and electronic health records preferred
·  Experience with SAS and other programming languages e.g. S-Plus, R, python and an ability to learn new programming languages desired.
·  Familiar with cloud and high-performance computing environments (AWS, GCP)
·  Some Data Science or Engineering Skills & Tools experience (e.g. data munging, data visualization, exploratory data analysis, Tableau, Plotly, JavaScript, Python, Spark, Hive, Pig, Data streaming, NoSQL, SQL).

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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At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.