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Genetic Programmer Jobs (NOW HIRING)

Probably Genetic

Senior Data Scientist

San Francisco, CA · On-site

$180K - $230K/yr

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 ...

Asimov

Staff Software Engineer

Boston, MA · Remote

$179K - $230K/yr

How could humans design a modern plane without CAD? Genetic engineering will be even more demanding--and we're building the tools to make it possible. Kernel is our platform for bioengineers to ...

Asimov, Inc

Staff Software Engineer

Boston, MA · On-site

$179K - $230K/yr

How could humans design a modern plane without CAD? Genetic engineering will be even more demanding-and we're building the tools to make it possible. Kernel is our platform for bioengineers to design ...

The Rockridge Group

Software Engineer II

Emeryville, CA

$112K - $154K/yr

Among the tools we have developed are a CAD/CAM system for genetic engineering: a compiler toolchain whose target architecture is life itself. This stack physically integrates high level genetic ...

McWane Ductile

Programmer

Phillipsburg, NJ

As a Programmer at McWane Ductile NJ, you will play a pivotal role in designing, implementing, and ... and genetic information) or any other category protected by federal, state or local law. McWane ...

McWane, Inc.

Programmer

Phillipsburg, NJ · On-site

$75K - $80K/yr

As a Programmer at McWane Ductile NJ, you will play a pivotal role in designing, implementing, and ... and genetic information) or any other category protected by federal, state or local law. McWane ...

McWane, Inc.

Programmer

Phillipsburg, NJ · On-site

$75K - $80K/yr

As a Programmer at McWane Ductile NJ, you will play a pivotal role in designing, implementing, and ... and genetic information) or any other category protected by federal, state or local law. McWane ...

Probably Genetic Inc.

Solutions Architect

San Francisco, CA · On-site

$150 - $200/hr

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 ...

BGI, LLC

Programmer

Tucson, AZ · On-site

Job Title Programmer Location Davis Monthan AFB - Davis-Monthan AFB, AZ 85707 US (Primary) Position ... status, genetic information, disability, protected veteran status, or any other protected ...

Stony Brook University

Programmer

Stony Brook, NY · On-site

$80 - $100/hr

Division of Information Technology-Engineering, Applications and Integrations Required ... genetic information, veteran status and all other protected classes under federal or state laws. #J ...

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How much do genetic programmer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for genetic programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

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For Genetic Programmer jobs, the most frequently searched job titles are:

Senior Data Scientist

San Francisco, CA • On-site

Probably Genetic
Biotechnology Research and Development • 1 - 10 employees
Learn more about Probably Geneticexternal

$180K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Key responsibilities

  • Own the end-to-end development, validation, and operationalization of predictive diagnostic AI models.

  • Run prospective testing experiments by applying diagnostic models to undiagnosed patients and tracking outcomes.

  • Build and maintain the synthetic patient data pipeline and optimize patient intake processes using NLP and multimodal data analysis.

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 Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter product decisions.
What you will do
  • Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models - from feature engineering through production deployment - that power program eligibility decisions and clinical decisions for patients
  • Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance
  • Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle
  • Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion
  • Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring
  • Conduct ad hoc strategic analyses that inform product prioritization, causality assessment, and generate customer-facing program insights
  • Establish MLOps infrastructure: model monitoring, drift detection, API observability, and lightweight but durable operational processes
  • Have the freedom to conduct blue sky research initiatives aimed at creating value from our data
  • Work with Data Engineering to build a robust, scalable data foundation that supports all of the above
Who you are
We are looking for a few specific things that will help you succeed in this role:
  • 7+ years of experience in data science, machine learning engineering, or a closely related field
  • Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL
  • Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment
  • Experience with NLP techniques and applying language models to real-world problems
  • Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI)
  • A track record of operating with high ownership in lean, fast-moving environments where you have had to build structure as much as execute within it
  • Strong analytical communication skills - you can translate complex model outputs and data findings into clear, actionable narratives for technical and non-technical audiences alike

Some things that are not required, but you will learn on the job:
  • Experience with Databricks or similar lakehouse/ML platform environments
  • Familiarity with synthetic data generation techniques
  • Domain knowledge in healthcare, rare disease, genomics, or clinical research
  • Experience with MLOps tooling and building observability infrastructure from scratch
  • Exposure to biopharma or insurance analytics use cases

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 $180,000-$230,000 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 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.

Apply