Data Scientist/Programmer, Bridgewater, NJ

Job description

The Translational Informatics (TI) department in the Translational Medicine Early Development (TI-TMED) platform at Sanofi is searching for a Data Scientist / Programmer to join our global Clinical Trial Simulation team (CTS).

About the Company:

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to make a difference on patients' daily life, wherever they live and enable them to enjoy a healthier life. As a company with a global vision of drug development and a highly-regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world. Details of the organization and the company's mission and goals can be found on our website (http://www.sanofi.us/l/us/en/index.jsp).

About the Department:

Our department is focusing on modeling and simulation approaches that aid critical decision making throughout the various phases of drug development. Our mission “turning data into knowledge to support decisions” is based on three cornerstones: (1) quantitative systems pharmacology (QSP) modeling and drug disease modeling providing mechanistic understanding of pathophysiology and pharmacology, (2) clinical data analytics providing meta-analysis on comparator data, but also exploring machine learning and artificial intelligence approaches on clinical and real world data to better understand patients and their responds to pharmacological treatments, (3) clinical trial simulation integrating model-based and mechanistic knowledge to inform, de-risk and (where possible) replace clinical trials.

The responsibilities include:

·  Prepare analysis-ready data files from multiple heterogeneous data sources under a defined quality control process
·  Improve efficiency and quality of existing processes to construct datasets and other scientific contributions
·  Help develop and maintain internal software packages to support data science applications
·  Perform exploratory data analyses and visualizations
·  Work with international and interdisciplinary teams to deliver analytics-driven solutions

Qualifications

·  Minimum of a Bachelor's degree in mathematics, computer science, quantitative field with a strong math and science background or comparable
·  Experience programming in at least one high level scripting languages such as R, SAS
·  Experience in clinical data
·  Python, database handling (SQL), and willingness to learn the other
·  Experience in statistical procedures as advantage
·  Good communication skills
·  strong organizational skills, ability to manage competing priorities, and be flexible to change
·  Operational skills that include customer focus, commitment to quality management and problem solving

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.

#GD-SA

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.