We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.
**At this time, Sanofi will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). **
Essential Duties and Responsibilities
The candidate is expected to learn modern bioinformatics tools and machine learning techniques to build, test, and deploy population genetics and functional models of viral evolution
The candidate is expected to contribute to the development of data analysis and decision support tools focusing on genetic and epidemiological surveillance and predictive modeling
The candidate is expected to prepare, analyze, and interpret data regarding the genetic composition, epidemiology, fitness, and structure of viral proteins
Role will require design, coding, implementation, training, validation, and maintenance of machine learning models and bioinformatics pipelines
This is a hands-on computational, office-based role in a highly collaborative, multidisciplinary vaccine design environment
Participate in scientific discussions on epidemiology, computational biology, bioinformatics, and machine learning
Maintain detailed records, contribute to the code base repository, and proactively communicate progress and challenges
About you
Basic Qualifications:
Currently pursuing a PhD in Computational Biology, Bioinformatics, Population Genetics, Epidemiology, or related discipline
Must have permanent US work authorization
Must be able to relocate to our Waltham office location and complete the full duration on the Co-op
Background in biological data analysis is required
Preferred Qualifications:
Practical experience with machine learning modeling is highly desirable
Experience with large bioinformatics databases, such as Genbank, SRA, EMBL, and GISAID is highly desirable
Exposure to computational structural biology and protein modeling desirable
Proficient in Python, SQL, sequence alignment and phylogenetic analysis tools, and machine learning libraries, in a high throughput or cloud environments in Linux
Experience with scientific visualization and interactive dashboard design (R-Shiny, Plotly, Bokeh, Flask) a plus
Strong interpersonal, communication, and presentation skills
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.
**At this time, Sanofi will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). **
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.
