Biogen Hiring for GTxAU Data Scientist at Cambridge, Massachusetts Full Time

About This Role The Gene Therapy Accelerator Unit (GTxAU) at Biogen is seeking an applied data scientist to join the mission of developing the next generation of genomic medicines. The goal of GTxAU is to develop a gene therapy pipeline from exploratory research through preclinical development. In this role, you will use data science tools to help design and optimize adeno-associated virus (AAV) vectors. You will work closely with molecular biologists, bioinformatics experts, NGS teams, and structural biologists to design and analyze data from various in vitro and in vivo studies. Additionally, you will extract AAV design principles to accelerate our drug development cycles.* * What You’ll Do * Propose and develop data driven methods, including convolution neural networks, transformers architectures, and deep generative models to help drive decision making for bench scientists * Derive insights from Biogen’s proprietary and open-sourced databases to guide gene therapy vector design * Keep up-to-date with machine learning and gene therapy literature. Who You Are Why Biogen? Our mission to find therapies for neurological and rare diseases is a unique focus within our industry and this shared purpose is what connects us as a team. We work together to overcome obstacles and to follow the science. We are resilient as we strive to make an impact on our patients’ lives and on changing the course of medicine. Together, we pioneer. Together, we thrive.* * You are passionate about using machine learning to drive gene therapy innovations. You are excited about using data science tools to drive key business and scientific decision.* * LI-RD8 *Required Skills * >2 years of programming experience in Python, R, and/or MATLAB * Experience working with machine learning frameworks including scikit-learn, tensorflow, pytorch and RShiny * Experience with high performance computing (HPC) environments * BS in Data Science, Computer Science, Statistics, Computational Biology, Engineering, or other quantitative science disciplines Preferred Skills * MS in Data science, Computer Science, Statistics, Computational Biology, Engineering, or other quantitative science disciplines * Experience applying machine learning models to biological data, i.e. transcriptome data, DNA, and protein sequences All your information will be kept confidential according to EEO guidelines.