CLD Senior Data Scientist

Job Title: CLD Senior Data Scientist

Location: Framingham, MA

About the Job

We seek a highly motivated Senior Scientist to join Cell Line Development, as part of a team focused on innovation and implementation of automated clone selection processes, high throughput data analytics and data management solutions. The individual in this role will work in a high-performing, fast-paced collaborative environment supporting end-to-end development, management, and optimization of data pipelines relevant to Cell Line Development workflows and in line with Sanofi’s “Play to Win” Digital Data Strategy. 

The senior scientist will be the key interface in operationalizing CLD data, and this work will directly support development projects in Sanofi’s pipeline. Specifically, responsibilities will be applying code-based analytics and data flow expertise to streamline the connection between the laboratory and the information systems.

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

Main Responsibilites:

• Build and maintain integrated CLD data infrastructure

• Establish and maintain connectivity of laboratory equipment with existing data management solutions.

• Develop and implement data management solutions for clone screens and automation systems to support cell line development activities.

• Gather and organize large and complex CLD data assets, perform relevant analysis.

• Develop and implement data management solutions for clone screens and automation systems to support cell line development activities.

• Work with CLD team to understand data requirements and translate them into technical needs.

• Propose and implement relevant data models and workflows

• Actively contribute to Data governance community and Sanofi’s “Play to Win” Digital Data Strategy.

About You

Basic Qualifications:

• Master’s degree in science, engineering, or information management with Minimum 4+ years working with data models and database architectures,

• OR Bachelor in science, engineering, or information management and 8 years of relevant experience.

• OR, Phd +minimum 2 years of Relevant experience.

• Experience working with database models and query tuning

• Working knowledge of SQL and Python (familiarity with other scripting languages a plus).

• Self-motivated with attention to detail, excellent organization, time-management, & communication skills.

Preferred Qualifications:

• Experience in biopharmaceutical industry is a plus.

• Experience supporting laboratory-based workflows.

• Experience with high throughput laboratory automation equipment (eg Hamilton, Beacon, or Ambr).

• Experience with a data pipelining application (eg Biovia Pipeline Pilot). 

• Experience working with biological registration systems (eg Genedata Biologics) or LIMS in general. 

• Experience with a variety of scientific analysis and BI software packages (eg Tableau or PowerBI). 

• Develop and implement data management solutions for clone screens and automation systems to support cell line development activities.

• Good understanding of cloud database technologies.

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.

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.