At Biogen, we offer a workplace that is unique, connected, resilient and impactful. Our purpose to find cures for rare diseases is a unique focus within our industry. We are connected as a team by this shared purpose, the pride we have in our work, and the inspiration we obtain from the lives we’re changing. We are resilient as we overcome obstacles, following the science to deliver for our patients. Most of all, our work allows us to have an impact. An impact on our patients’ lives and on changing the course of medicine. 

About This Role

The Genome Technologies and Computational Sciences (GTCS) group at Biogen is seeking a machine learning research scientist to join in the mission of designing study and applying machine learning and deep learning techniques to omics and biomedical data. The successful candidate will work closely with computational biology experts, IT, geneticists, biologists to design and analyze various Omics studies and biomedical images (fundus images for example) from large registry data (such as UK Biobank).

What You'll Do

• build and maintain integrative analysis workflows, cross-indication databases and web-based visualization tool;
• maintain biological knowledge base,
• keep the analytical results up-to-date with update of analytical tools, data bases and data sources;
• apply AI/ML techniques, mainly image-based applications for biomedical problems (single cell transcriptomics, spatial transcriptomics, viral variant calling, fundus images etc.);
• NGS support in Gene Therapy Accelerator Unit (GTxAU).

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 patients’ lives and on changing the course of medicine. Together, we pioneer. Together, we thrive.  The External Innovations Team’s mission is to bring forward external opportunities that complement our internal capabilities and strengths.

Required Skills

• Hands-on experience with Omics (bulk RNAseq, DNA-seq, microRNA-seq, especially single cell RNA-seq) data analysis
• Extensive experience using UNIX Bash and high-performance computing (HPC) environment
• Strong programming experience in Python
• Experience with deep learning frameworks Keras and/or PyTorch
• Experience applying latest AI/ML techniques in computer vision data processing and image classification analysis
• Hands-on experience in large-scale imaging data processing and analysis and on distributed computing systems
• Solid knowledge of statistics and machine learning

Preferred/Plus

• Demonstrated ability to work collaboratively within cross-functional teams
• Excellent written and verbal communication skills, be able to communicate effectively in technical and non-technical languages
• Knowledge about gene therapy

Education

Ph.D., MS (or equivalent work experience) in Computational Biology, Systems Biology, Bioengineering, or related field. Candidates with less experience but very strong technical background will also be considered.

All your information will be kept confidential according to EEO guidelines.