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    Full Stack Engineer - San Francisco, United States - Probably Genetic

    Probably Genetic
    Probably Genetic San Francisco, United States

    3 weeks ago

    Default job background
    Description
    About Probably Genetic

    Probably Genetic is changing the lives of patients living with severe, complex diseases.

    Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients.

    Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients.

    In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible.

    We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves.

    We do well by doing right by patients.

    Our annually recurring revenue is growing >6x year over year, we're profitable, and our roadmap is packed with innovations in bioinformatics, machine learning, and drug development.

    We are building an all-star team to help us bring our vision to life, and we want you to be a part of it.


    Probably Genetic has raised multiple rounds of funding from Silicon Valley's best investors, including Threshold, Khosla, and Y Combinator, giving us the ability to pay competitive salaries, offer great benefits, and provide meaningful equity.

    We're dedicated to ensuring your journey with us is unforgettable, with incredible team retreats to places like Barbados, the Alps, Mexico, Costa Rica, and Portugal, just to name a few.

    About The Role


    We are looking for a Full Stack Engineer who will contribute to the design and implementation of our deep phenotyping machine learning (ML) system, genetic sequencing workflows, and patient intelligence platform.

    What you will do


    In this role, you will have the unique opportunity to build software that provides life-changing tests to patients living with rare diseases.

    This involves designing and implementing applications to identify specific genetic diseases, providing patients with clinical, genetic and biochemical testing, and building data products for patients , advocacy groups, and biopharma partners.

    You will own features end to end while contributing to the product frontend and backend. You will play a pivotal role in developing groundbreaking technologies while growing the business.

    You will drive the Probably Genetic product by:

    Owning business goals and writing technical design specifications to find more patients, grow revenue, and increase margins
    Developing the phenotyping product and biotech data platform frontends in React Typescript based on Figma designs
    Creating APIs, laboratory integrations, bioinformatic tooling, and ML infrastructure using Python Django, PostgreSQL databases, and AWS services
    Presenting your work to relevant stakeholders, monitoring outcomes, and integrating patient feedback

    You will collaborate internally to achieve engineering goals by:

    Reviewing your team's code and technical documentation to maintain a high standards and architecture quality
    Contributing to a culture of continuous improvement at a high velocity by optimizing development processes
    Collaborating with the Product and Business Development teams to implement solutions which drive customer value and growth
    Working with cross-functional stakeholders to refine business processes and develop software to automate those processes

    Who you are

    What will help you succeed in this role:

    6+ years of relevant experience in software development (including experience working on full stack code bases)
    Experience in a range of software languages and frameworks including our tech stack

    (Languages:


    Python and Typescript; Frameworks:
    React, Django, GraphQL; Others: PostgreSQL, AWS Services, Terraform, GitHub Actions)
    Experience designing and building scalable systems used by external users
    Track-record of solving extremely difficult, ambiguous problems

    Some things that are not required, but you will learn on the job:

    Expertise with healthcare data, bioinformatics, genetics, ML infrastructure, or growth marketing
    Expertise in HIPAA compliance and security best practices
    Expertise in product development practices such as user interviews and product analytics

    As with all new hires at Probably Genetic, you will also need to be:

    A good person. We work with some of the most marginalized populations on the planet and empathy is key
    Patient-focused and motivated to have a lasting, positive impact on humanity
    Comfortable in a fast-paced, often ambiguous environment with rapid change
    Action-oriented and excited to build a company from the ground up

    The salary range for this role is $120,000-$200,000 annually.

    Actual compensation offered will depend on several factors including but not limited to:
    work experience, education, skill level, and/or other business and organizational needs.

    What we offer at

    Probably Genetic:
    An engaging and supportive team dynamic
    30 days of vacation a year
    Hybrid, flexible work
    A "work from anywhere" policy, up to 4 weeks a year
    Competitive equity grants
    All-expenses paid quarterly team retreats
    Benefits including health and vision

    This is a hybrid role that will require working on-site 3 days a week in San Francisco. Local candidates only. Relocation is not offered for this role.

    How to apply


    Please send your resume and anything else you'd like to share to with "Full Stack Engineer" as the subject line.

    We will get back to you as soon as we can. We can't wait to meet you


    Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences.

    We urge candidates of all backgrounds to apply. If you require specific accommodations as you interview or consider working with us, please let us know.


    Compensation Range:
    $120K - $200K

    #J-18808-Ljbffr
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