Job Details

ID #20127960
State Massachusetts
City Cambridge
Job type Full-time
Salary USD TBD TBD
Source Biogen
Showed 2021-09-23
Date 2021-09-23
Deadline 2021-11-22
Category Et cetera
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GTxAU Data Engineer

Massachusetts, Cambridge, 02138 Cambridge USA

Vacancy expired!

Job Description

About This Role

The Gene Therapy Accelerator Unit (GTxAU) at Biogen is seeking an applied machine learning 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 will apply novel machine learning methods to 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

  • 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.

Required Skills

  • >2 years of programming experience in Python, R, and/or MATLAB
  • Experience working with machine learning frameworks including scikit-learn, tensorflow, pytorch
  • Experience with high performance computing (HPC) environments
  • BS in data science, compute science, with 2-5 years experience

Preferred Skills

  • Recent PhD graduate in Computer Science, statistics, computational biology, engineering, or other quantitative science disciplines
  • MS in data science, computer science, statistics, computational biology, engineering, or other quantitative science disciplines, with 1-2 years experience
  • 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.

Vacancy expired!

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