Research Fellow Machine Learning, Gene Therapy
Cambridge, MA, United States
Biogen
Biogen is a leading global biotechnology company that pioneers science and drives innovations for complex and devastating diseases. Biogen is advancing a pipeline of potential therapies across neurology, neuropsychiatry, specialized immunology...Job Description
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. The scientist in this role use data sciene tools to help design and optimize adeno-associated virus (AAV) vectors. The successful candidate 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. S/He will extract AAV design principles to accelerate our drug development cycles.
What You’ll Do
· Derive insights from Biogen’s proprietary and open-sourced databases to guide gene therapy vector design
· Organize data, build dashboards, and present to a diverse group of scientists through innovative data visualization tools
· 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.
Qualifications
Required Skills
· PhD with 0-2 years of experience in Data science, Computer Science, Statistics, Computational Biology, Engineering, or other quantitative science disciplines
· 2+ years experience programming in Python, R, and/or MATLAB
· 2+ years experience working with tools including scikit-learn, tensorflow, pytorch, and RShiny
· 1+ years experience with high performance computing (HPC) environments
Preferred Skills
· Experience applying machine learning models to biological data, i.e. transcriptome data, DNA, and protein sequences
Additional Information
All your information will be kept confidential according to EEO guidelines.
Tags: Biology Computer Science Data visualization Engineering HPC Machine Learning Matlab ML models PhD Python PyTorch R Research Scikit-learn Statistics TensorFlow
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