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Research Fellow, ML Application for Molecular Modeling & Design across Discovery Modalities

Biogen

Research Fellow, ML Application for Molecular Modeling & Design across Discovery Modalities

Cambridge, MA
Full Time
Paid
  • Responsibilities

    Job Description

    Our Biotherapeutics and Medicinal Sciences department is seeking a highly motivated PhD scientist to develop Machine Learning (ML) and/or bioinformatics methods to aid drug discovery across four therapeutic modalities - biologics, gene therapy/viral delivery, small molecules or antisense oligonucleotides. Working in our Biologics Structure and Modeling group, you will collaborate closely with our Antibody Discovery group on integrating ML and computational protein modeling/design with wet-lab experiments at various throughput levels. The Research Fellow role at Biogen is an 18-month position designed to provide a unique opportunity for scientists to gain exposure to drug discovery and train in an industry research setting.

     

    WHAT YOU WILL DO:

    • Develop, train and test ML and/or bioinformatics methods that learn determinants of antibody fitness for developability, stability, and/or affinity, and use these to select candidates to carry forward
    • Devise, train, refine, and deploy deep neural network models using public and proprietary sequence, structure, property or function data
    • Collaborate closely with experimental scientists to create a model-test-learn loop
    • Collaborate with internal stakeholders and with external (academia or industry) partners
    • Develop and apply modeling and design strategies for proteins, antibodies, AAV capsids, or other modalities
    • Keep abreast of state-of-the-art technologies in the field
    • Present scientific findings to broad audiences including senior leadership to drive decision making in program teams

     

  • Qualifications

    Qualifications

    REQUIREMENTS:

    • PhD in a field related to computational protein design such as Chemical and Biomolecular Engineering, Bioengineering, Molecular Biology, Biochemistry, Chemistry, Biophysics, Computer Science, Mathematics, Statistics, Physics, or Computational Biology
    • Experience with devising and implementing ML methods for protein or antibody modeling or design, or with deep learning methods that relate protein sequence, structure, property or function (e.g., structure prediction, annotation, novel or variant sequence generation, property prediction, directed evolution, etc.)
    • Strong communication, collaboration and interpersonal skills
    • Strong publication record in peer-reviewed journals
    • Strong problem-solving and troubleshooting skills
    • Independent and curious self-starter
    • Legal authorization to work in the U.S.

     

    Additional Information

    ABOUT US

     

    Biologics Structure and Modeling is a highly cross-functional team that primarily supports Biologics Drug Discovery by solving protein apo and complex structures (cryo-EM, X-ray crystallography, NMR), by computationally or rationally modeling, engineering, or designing biologics, and by advising our stakeholders on structural aspects of protein-protein interactions and how mutations affect biology. Beyond Biologics Drug Discovery, and as part of a four-modality company, we partner with colleagues in gene therapy, computational chemistry, and computational biology, supporting Biogen portfolio programs across all therapeutic areas including Alzheimer’s disease and dementia, Parkinson’s disease, Amyotrophic lateral sclerosis (ALS) and multiple sclerosis.

     

    As pioneers in neuroscience, Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological diseases as well as related therapeutic adjacencies. One of the world’s first global biotechnology companies, Biogen was founded in 1978 by Charles Weissmann, Heinz Schaller, Sir Kenneth Murray, and Nobel Prize winners Walter Gilbert and Phillip Sharp. Today, Biogen has a leading portfolio of medicines to treat multiple sclerosis, has introduced the first approved treatment for spinal muscular atrophy, and developed the first and only approved treatment to address a defining pathology of Alzheimer’s disease. Biogen is also commercializing biosimilars and focusing on advancing one of the industry’s most diversified pipelines in neuroscience that will transform the standard of care for patients in several areas of high unmet need.

     

    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.

     

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

    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.

    At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.

    All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

  • Industry
    Manufacturing