Job Title: Translational Data Scientist

Location: Cambridge, MA

About the Job

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

We are seeking a translational data scientist to join out Biomarker and Patient Stratification Cluster. The ideal candidate will have extensive expertise in the development and application of machine learning, statistical and computational approaches to address complex biological challenges. Strong oral and written communication skills, along with demonstrated ability to learn and adopt new methodologies, are essential. The candidate is expected to lead and execute analytical projects and develop innovative approaches for the identification of novel therapeutic targets and the discovery of predictive biomarkers to support patient stratification and inform clinical development plans. This exciting position offers the opportunity to play a pivotal role in drug development programs from early discovery research to clinical development.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

Collaborate closely with a multidisciplinary team of computational and bench scientists, fostering an open exchange of feedback tp support personal and professional growth

Contribute to projects focused on Identifying candidate therapeutic targets and biomarkers for immune diseases by integrating high-throughput molecular profiling data with clinical phenotypes

Design and implement innovative computational approaches to decode complex immune conditions using multi-dimensional omics and clinical data

Utilize supervised and unsupervised methodologies to develop actionable biomarker hypothesis 

Prepare publications, research reports, and clinical/regulatory documentation in alignment with the company's quality standards

About You

Essential Qualifications:

PhD in computational biology, computer science, biostatistics, bioinformatics or a related quantitative science field with 1 to 3 years of relevant experience, or MS in biostatistics, computer science or bioinformatics with 3 to 5 years' relevant experience in analysing omics data such as RNA-seq, GWAS, and/or conducting biomarker research

Develop and benchmark predictive algorithms to generate actionable biomarker hypotheses that supports clinical trial design 

Expertise in analyzing gene expression data from platforms such as RNA-sequencing, microarray, NanoString, or qPCR

Proficient in analysing data with R/Bioconductor and/or Python, and working knowledge of Linux/cloud computing environment such as AWS 

Strong interest in biology and immunological diseases, with the ability to collaborate effectively with scientists from Research and Translational Medicine to define and address biological questions with computational analyses

Preferred Qualifications:

Proficient in statistical modeling techniques including linear and non-linear regressions, dimensionality reduction, clustering analysis, and machine learning approaches such as SVM and Random Forest

Experience with advanced statistical methods such as Bayesian analysis and causal inference

Demonstrated excellent written and oral communication skills

Strong interpersonal abilities and a collaborative team-oriented mindset

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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Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; 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.