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    Research Scientist, Senior - Toronto, ON, Canada - Shift Bioscience

    Shift Bioscience
    Shift Bioscience Toronto, ON, Canada

    1 week ago

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    Description

    Join Shift, where you'll become an integral member of a high-performing and fast-moving team whose mission is to deliver the first drugs for safe cellular rejuvenation, addressing chronic diseases and extending healthy human lifespan.

    At Shift, we value ability and results, fostering a meritocratic culture that embraces respect, reliability, collaboration and communication.
    We've pioneered a single-cell clock with unmatched accuracy, powered by cutting-edge machine learning and gene expression data.

    With this clock, our lab testing of rejuvenative interventions is four times faster than anyone else, providing a crucial edge.

    As an ML Researcher at Shift, you'll develop and improve our cell simulation models.

    You will also interface with the wet-lab team to inform and optimize our experimental path using the latest active ML techniques.

    We are looking for someone who has good communication skills and has previously participated in multidisciplinary projects (preferably in a biotech setting).

    You should also have a strong background in computer science and/or mathematics.

    This role is an opportunity to be part of a journey where your expertise shapes the future of scientific discovery.

    A PhD in Mathematics, Computer Science or related fields
    Strong research background in academia or industry
    An interest in healthspan and longevity research


    Join a team at the forefront of scientific innovation, where your contributions can make a lasting impact on healthcare, shaping a future that extends the prime of life.

    We offer on-demand learning and training to support your career growth as well as attendance at relevant conferences. To facilitate onboarding and wet-lab alignment you'll work from our newly-established ML office in Toronto, Canada. You can expect a competitive salary with milestone-based reviews, share options, private medical insurance and paid holiday.

    There are typically three stages - an initial chat to understand your motivations and interests, technical assessment and on-site team interviews.

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