Data Mining Scientist
We are seeking a highly motivated individual with expert knowledge in Next Generation Sequencing (NGS), Machine Learning (ML), and extensive quantitative skills to join our Adeno Associated Viral vectors (AAV) Technology Laboratory at Sanofi’s Genomic Medicine Unit (GMU) located in Waltham, Massachusetts, USA, as an Intern/Co-op. As an intern/co-op you will contribute to the discovery of novel nature-derived products to address various outstanding needs in gene therapy, through mining of genomic datasets and/or building evolutionary models and running simulations. You will thus have an opportunity to work on a wide range of relevant applications, such as, modulating immunogenicity of genetic therapies, engineering solutions to increase vector’s cargo capacity, and improving tissue-targeting specificity by discovering novel capsids, among other such applications. The selected individual will develop cutting edge algorithms, customize various existing ML solutions, mine biological data, and generate predictions for experimental validation. The successful candidate will work in a dynamic and multi-disciplinary environment on next-gen projects with potential to impact human health. This is a paid, on-site, full time position. You will be a co-author on any resulting patents or publications from this work.
Key Responsibilities: • Develop custom algorithms, mine biological data • Perform data analyses and interpret experimental results • Present research findings and progress at project team meetings
Required Qualifications: • Programming in R, python • Familiarity with HPC and/or AWS • Experience in algorithm development/ML • Experience working with NGS data • Experience with data clean up, troubleshooting and debugging • Good communication skills • Self-motivated and willing to learn
Preferred Qualifications: • PhD level candidates or exceptional master’s candidates • Background in evolutionary biology, structural biology is a plus
Please contact eugenia.lyashenko@sanofi.com for any further questions.