Full Stack Engineer

Probably GeneticSan Francisco, CA
Hybrid

About The Position

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.

Requirements

  • 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
  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
  • 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

Benefits

  • Competitive equity grants
  • All-expenses paid quarterly team retreats
  • Health and dental benefits
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