Senior Bioinformatics Scientist
Listed on 2025-12-05
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Ready to redefine what's possible in molecular diagnostics?
Join a team of brilliant, passionate innovators who wake up every day determined to transform healthcare. At Billion To One , we've built something extraordinary—a culture where transparency fuels trust, collaboration drives breakthroughs, and every voice matters in our mission to make life‑changing diagnostics accessible to all. We don't just aim for incremental improvements; we strive to build products that are 10x better than anything that exists today.
Our people are our greatest asset: talented scientists, engineers, sales professionals, and visionaries united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting‑edge science meets human compassion—every innovation you contribute helps remove fear of the unknown from some of life's most critical medical moments.
If you're driven by purpose, energized by innovation, and ready to help build the future of precision medicine, this is where you belong.
We are looking for a Senior Bioinformatics Scientist to join a fast growing team. This person will be responsible for the generation, analysis, and communication of clinical next‑generation DNA sequencing data for the Northstar oncology products. Our sample volume is growing extremely quickly, and this role will own the further development of our analysis pipeline to analyze tens of thousands of samples, and be the lead scientist for everything related to our bioinformatics analyses.
The Senior Bioinformatics Scientist role is a full‑time onsite position and reports to the Senior Manager of Bioinformatics, Oncology.
Responsibilities:
- Develop sophisticated and robust NGS analysis pipelines capable of processing tens of thousands of samples
- Develop tests and test frameworks for NGS pipelines
- Analyze and troubleshoot clinical NGS data
- Analyze assay performance and contribute to publications that demonstrate the clinical validity and utility of our tests
- Design new quality metrics and processes for clinical molecular diagnostic assays
- Collaborate with R&D scientists to generate new scientific insights
- Communicate assay performance and capabilities to clinical personnel at weekly meetings and to other non‑clinical stakeholders
Qualifications:
- PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related fields
- 2+ years of experience developing robust and scalable bioinformatics pipelines
- 2+ years of experience analyzing NGS data
- Fluency in Python
- Experience with UNIX environment, Git Hub and AWS
- Excellent communication and presentation skills, ability to work across functional teams and with non‑experts.
Nice‑To‑Haves:
- Experience working in a regulated environment
- Experience with CI/CD pipelines and dockerized code deployment
- Experience with cloud infrastructure management with infrastructure as code such as CDK
- Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
- Open, transparent culture that includes weekly Town Hall meetings
- The ability to indirectly or directly change the lives of hundreds of thousands patients
- Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
- Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
- Supplemental fertility benefits coverage
- Retirement savings program including a 4% Company match
- Increase paid time off with increased tenure
- Latest and greatest hardware (laptop, lab equipment, facilities)
- Free daily on‑site lunches provided from top eateries
- A variety of perks on campus (state of the art gym, restaurant)
- Free on‑site EV charging (compatible with all EVs, including Tesla)
At Billion To One , we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare…
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