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Senior Software Engineer

Roles & Responsibilities

  • Proven experience delivering full-stack applications with a back-end focus and shipping high-quality code at velocity
  • Proficiency in Python (Django) and TypeScript (React)
  • Experience with PostgreSQL, AWS, Terraform, and GitHub Actions
  • Experience designing and building scalable systems used by external users and solving ambiguous problems

Requirements:

  • Collaborate across teams to translate requirements into front-end releases that improve patient engagement, and develop phenotyping product and biotech data platform frontends using React TypeScript
  • Create APIs, laboratory integrations, bioinformatic tooling, and ML infrastructure using Python, Django, PostgreSQL, and AWS services
  • Regularly review pull requests and technical proposals to maintain architectural quality, and present work to stakeholders with patient feedback
  • Drive continuous improvement, align with business goals, and partner with Growth, Patient Experience, and Business Development to deliver customer value and automate processes

Job 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. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, 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, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity.

About the Role

We are looking for a Senior Software Engineer who will contribute to the design and implementation of our AI-enabled patient experience, genetic sequencing workflows, and help enable the critical infrastructure needed to support a world-class patient intelligence platform.

What you will do

  • Work across teams to rapidly transform key requirements into front-end releases that meaningfully improve how patients engage with our product

  • Create APIs, laboratory integrations, bioinformatic tooling, and ML infrastructure using Python, Django, PostgreSQL databases, and AWS services

  • Develop the phenotyping product and biotech data platform frontends in React & Typescript

  • Regularly review your team’s pull requests and technical proposal documents to maintain high standards and architectural quality

  • Present your work to relevant stakeholders, monitoring outcomes, and integrating patient feedback

  • Contribute to a culture of continuous improvement at a high velocity by optimizing development processes

  • Own business goals and writing technical design specifications to find more patients, grow revenue, and increase margins

  • Collaborate with the Growth, Patient Experience and Business Development teams to implement solutions which drive customer value

  • Work with cross-functional stakeholders to refine business processes and develop software to automate those processes

Who you are

We are looking for a few specific things that will help you succeed in this role:

  • Proven experience developing full-stack applications, with a back-end focus and a passion for shipping high quality code at velocity

  • Experience in a range of software languages and frameworks included in our tech stack:

    • Languages: Python (Django) and Typescript (React)

    • Tools/Infrastructure: PostgreSQL, AWS, Terraform, GitHub Actions

  • Experience designing and building scalable systems used by external users

  • Track-record of solving extremely difficult, ambiguous problems

  • Excellent communication skills with ability to can convey your ideals clearly to engineers and non-engineers alike!

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.

What we offer at Probably Genetic:

  • An engaging and supportive team all on a mission to improve lives

  • Fair and equitable compensation with competitive early-stage equity grants

  • Generous Flexible Time off policy, that we actually use

  • Parental Leave Benefits (12 weeks for both birthing and non-birthing)

  • Hybrid, flexible work with high-trust and autonomy

  • A bright, inviting, pet-friendly office in Downtown SF near transit

  • A “work from anywhere” policy, up to 4 weeks a year

  • Regular team retreats in exciting destinations

  • Health Benefits including medical, dental, vision, therapy, FSA, and 401k

  • And so much more!

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.

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