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Full Stack Engineer

San Francisco, CA 120,000 – 178,000 USD / yr
Estimated Compensation
120,000 – 178,000 USD / yr

🔒 Direct submission to hiring team • Zero candidate fees

Role & Company Overview

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Employer
Probably Genetic
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Location / Model
San Francisco, CA
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Employment
Full-Time
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Recruitment Type
Direct to HR Pipeline
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Industry
General
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Company Size
🌐
Headquarters
United States
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Visa & Sponsorship
Global Talent Consideration
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Global Sponsorship Signal: This position is eligible for global talent consideration and work authorization sponsorship for top qualified international candidates.
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Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • Hirely Editorial Team. Authenticated directly from Probably Genetic's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards

📋 Role Overview & Responsibilities

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 marginsDeveloping the phenotyping product and biotech data platform frontends in React & Typescript based on Figma designsCreating APIs, laboratory integrations, bioinformatic tooling, and ML infrastructure using Python, Django, PostgreSQL databases, and AWS servicesPresenting your work to relevant stakeholders, monitoring outcomes, and integrating patient feedbackYou will collaborate internally to achieve engineering goals by: Reviewing your team’s code and technical documentation to maintain a high standards and architecture qualityContributing to a culture of continuous improvement at a high velocity by optimizing development processesCollaborating with the Product and Business Development teams to implement solutions which drive customer value and growthWorking 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 usersTrack-record of solving extremely difficult, ambiguous problemsSome things that are not required, but you will learn on the job:Expertise with healthcare data, bioinformatics, genetics, ML infrastructure, or growth marketingExpertise in HIPAA compliance and security best practicesExpertise in product development practices such as user interviews and product analyticsAs 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 keyPatient-focused and motivated to have a lasting, positive impact on humanityComfortable in a fast-paced, often ambiguous environment with rapid changeAction-oriented and excited to build a company from the ground up

The salary range for this role is $120,000-$178,000 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 dynamicGenerous Flexible Time Off policyHybrid, flexible workA “work from anywhere” policy, up to 4 weeks a yearCompetitive equity grantsAll-expenses paid quarterly team retreatsBenefits including health and dental

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.

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.

Frequently Asked Questions

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Is this position eligible for remote work or visa sponsorship? ▼

This position is located in San Francisco, CA with potential relocation and sponsorship assistance depending on candidate qualifications.

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