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    Senior Scientist - Boston, United States - Fable Therapeutics

    Fable Therapeutics
    Fable Therapeutics Boston, United States

    2 weeks ago

    Default job background
    Pharmaceutical / Bio-tech
    Description

    Senior Scientist - Antibody Discovery and Protein Interactions, Fable Therapeutics

    About Us:

    Fable Therapeutics (Fable) is a discovery-stage biotechnology company which develops purpose-built biologics designed to overcome therapeutic index limitations and channel therapeutic response where and when it matters.

    Fable is powered by state-of-the-art structure and sequence-based protein language models. Founded by leading ML scientists and veteran biotech entrepreneurs together with top-tier venture capital firms, Fable has recently initiated its internal therapeutic pipeline and has enacted a growing list of pharma research collaborations.

    Backed by a 2024 $40M Series A investment co-led by Versant Ventures and DCVC, Fable is positioned to lead in the purposeful integration of biology and computation to solve complex medical challenges. Fable's aspiration is to write the next chapter of what protein-based therapeutics can do.

    Description:

    We are seeking a talented individual to provide scientific & technical expertise in high-throughput biophysical antibody-antigen screening for drug discovery. In tight collaboration with our machine learning team, the expertise and data you provide will also be used to train state-of-the-art machine learning models. As an experienced technical expert in our growing group, you will have the chance to contribute to shaping the design of our screening and drug discovery set up, including contributing to critical decisions on infrastructure and automation.

    The ideal candidate will have deep hands-on expertise independently planning, implementing and troubleshooting biophysical binding assays and related instrumentation (e.g., Surface Plasmon Resonance/SPR, BLI, Carterra, Biacore, Octet, NanoTemper). Broad experience in other types of biochemical and interaction binding assays preferred (e.g., ELISA, AlphaLisa, TR-Fret, Bead-based, fluorescence, luminescence, flow cytometry). As an enthusiastic team member, you will have the chance to learn and collaborate with other bench scientists and with machine learning scientists (dry-lab) as part of our multi-disciplinary approach to discover and develop precision engineered drug candidates.

    This is an on-site role. Flexible working hours to promote a balance between productivity and wellness can be accommodated with manager approval

    Responsibilities:

    • Independently plan, implement and troubleshoot binding assays, for example binding kinetics measurements (SPR, BLI)
    • Analyze and present data and conclusions to colleagues from a variety of backgrounds
    • Contribute to selection, planning and execution of a variety of laboratory assays for screening and characterization of candidate molecules
    • Ensure seamless access to own and others' data for machine learning
    • Collaborate on project planning, strategy and execution
    • Help teach and mentor junior colleagues in your areas of expertise and experience
    • Foster inter-disciplinary understanding of biophysical data among machine learning scientists
    • CRO management as needed

    About You:

    • PhD with 5+ years OR MSc with 10+ years.
    • Demonstrated relevant industry experience
    • Proven expertise with biophysical binding assays for a variety of purposes (e.g., kinetics and steady-state binding affinity, epitope binning, competition assays, ADA assays, others) and developed in different formats appropriate for the experimental goals
    • Experience with a variety of biochemical and interaction binding assays preferred (e.g., ELISA, AlphaLisa, TR-Fret, Bead-based, fluorescence, luminescence, flow cytometry)
    • Experience with automation and liquid handling equipment for sample preparation and assay execution is strongly preferred
    • Strong experience and understanding of antibody and biologics structure/function and discovery and optimization workflows
    • Strong sense of initiative and interest in learning new technologies and addressing disease-relevant biology
    • Enjoy collaborating with diverse scientists in both the wet-lab and dry-lab
    • Enthusiasm for disrupting drug discovery with new approaches to data generation & curation to allow leveraging of machine learning technologies

    At Fable Therapeutics, we know that our people drive our success. We are an equal opportunity employer and we value diversity and inclusion. Fable Therapeutics provides an open, collegial, and friendly work environment where we empower people and provide them with opportunities to develop their long-term careers. Fable Therapeutics does not discriminate on the basis of race, color, religion, sexual orientation, gender, age, physical or mental disability, or any other status protected under federal, state, or local law.

    For accommodations during the interview process please email



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