About the Job
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
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- 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 relocateto 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.
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