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    Senior Software Engineer - San Francisco, United States - insitro

    insitro
    insitro San Francisco, United States

    2 weeks ago

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    Description
    The Opportunity

    At insitro, we are trying to greatly increase the success rate of drug development by combining human biology, lab automation, and machine learning, at scale.

    Central to insitro's thesis is our ability to integrate rich datasets across modalities.

    From live cell imaging to single-cell RNA sequencing to DNA encoded libraries, insitro generates a diverse and ever growing torrent of data.

    Our team, Scientific Pipelines, develops the foundation of data pipelines that transform that torrent into the actionable datasets driving our target and drug discovery efforts.

    In this role, you will work with cellular and clinical datasets such as RNA sequencing, genome wide association studies, histopathology, and MRI to characterize cellular and patient state in order to better predict the effect of clinical interventions and design more successful clinical trials.

    To achieve this, you'll partner directly with machine learning scientists, biologists, engineers, and clinicians to design and build a cohesive platform for data ingestion, transformation, and exploration.

    What you'll do day-to-day
    Ship stuff that makes our scientists say "this is amazing, thank you so much"
    Collaborate cross-functionally with folks from our machine learning, automation, and biology groups
    Directly shape our roadmap for empowering scientists
    Shape our early-ish engineering culture with your ideas and experience

    All the normal SWE stuff:
    write code, write and review design docs, talk to collaborators, and do code reviews
    Ultimately you'll move the needle in a meaningful way for insitro and the field of medicine
    Examples of projects you will be working on
    Design image processing pipelines that transform MRI data into phenotype predictions via machine learned embeddings.
    Build production quality machine learning pipelines that impute distinct data modalities such as ATAC-seq from histopathology.

    Architect the foundation of data pipelines and models that enable us to readily construct and explore multi-modal datasets such as RNA sequencing data coupled with cellular microscopy.

    In return, we will support you by
    Placing a high degree of trust in your ideas and execution
    Bringing you up to speed in the domain of drug development
    Strive to provide a low-stress work environment
    Making ourselves available for collaboration
    Caring about you as a whole person - not a resource
    Being a well funded startup with conservative runway

    About you:
    You have 5+ years of experience as a professional software engineer with 3+ years of backend experience.
    You're eager to ship work that makes a difference to scientists and ultimately patients
    You feel comfortable reasoning about the tradeoffs between quality and speed when building in a startup environment
    You're familiar with the usual SWE things: AWS (or GCP/Azure), relational databases, writing design docs, version control, doing code reviews, perfecting our slackmoji game
    Bonus if you
    Experience with medium sized (100TB+) cellular or clinical datasets such as sequencing or histopathology
    Experience with electronic medical records
    Experience with data and machine learning pipelines

    Experience with our stack:
    AWS, python, SQLAlchemy, PostgreSQL, Docker, workflow engines such as redun, pytorch
    Compensation & Benefits at insitro
    Our target starting salary for successful US-based applicants for this role is $180,000 - $200,000.

    To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity.

    We may also adjust this range in the future based on market data.

    This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

    In addition, insitro also provides our employees:401(k) plan with employer matching for contributions
    Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees), as well as mental health and well-being support
    Open, flexible vacation policy
    Paid parental leave
    Quarterly budget for books and online courses for self-development
    Support to occasionally attend professional conferences that are meaningful to your career growth and development
    New hire stipend for home office setup
    Monthly cell phone & internet stipend
    Access to free onsite baristas and cafe with daily lunch and breakfast
    Access to free onsite fitness center
    Commuter benefits

    About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.

    At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data.

    We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease.

    These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy.

    insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism.

    Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners.

    For more information on insitro, please visit
    #J-18808-Ljbffr
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