Scientist/Senior Scientist RWD (Real-World Data) & Clinical AI, Oncology at BillionToOne

Menlo Park, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

0.0

Posted On

13 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Real-World Data (RWD), Clinical AI, Oncology, Genomic Data, Machine Learning, AI, Data Science, Python, EHR Data, LLMs, Biomedical Informatics, Clinical Decision Support, Genomics, Data Integration, RWE Generation

Industry

Biotechnology Research

Description

Ready to redefine what's possible in molecular diagnostics? Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today. With over 700 employees, half a million patients helped, and one of the most successful IPOs in medical diagnostics history behind us, we're just getting started. Our scientists, engineers, sales executives, and visionaries are 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, and every innovation you contribute helps remove the 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 shape the future of precision medicine at scale, this is where you belong. BillionToOne is seeking a Scientist or Senior Scientist focused on Real-World Data (RWD) and Clinical AI to help unlock insights from our rapidly growing dataset of genomic profiles and real-world clinical data. This role sits at the intersection of AI, genomics, oncology research, and clinical data science. The scientist will develop models and analytical approaches that transform genomic and clinical data into actionable insights for research, clinical decision support, and future data-driven products. A unique aspect of this role is the opportunity to work with BillionToOne’s proprietary dataset, combining genomic sequencing results from our Northstar oncology platform with real-world medical records. Leveraging this rich dataset, the scientist will generate clinically meaningful insights and real-world evidence (RWE) to improve treatment decisions and advance precision oncology. This role will report to the Chief Product Officer. Responsibilities Leverage BillionToOne’s integrated datasets of Northstar genomic sequencing results and real-world clinical data from patients we serve to generate clinically meaningful insights and real-world evidence (RWE). Develop AI and machine learning approaches that uncover patterns across genomic alterations, treatment histories, and patient outcomes, supporting internal research and improving how genomic test results inform clinical decision-making. Develop AI-powered tools that enhance the clinical utility of BillionToOne’s diagnostics, including systems that surface relevant medical records, literature evidence, clinical trials, and guideline information alongside Northstar test results to assist oncologists in making more personalized treatment decisions. The role will also build AI tools that support internal scientific operations—such as literature discovery, variant interpretation, and clinical trial or guideline tracking—while helping lay the foundation for future real-world data products leveraging BillionToOne’s unique genomics and clinical dataset for pharmaceutical and research partners. Requirements PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field is required. Deep understanding of genomic data, oncology biology, and clinical medical data. Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets. Strong programming and data science skills (Python and modern ML frameworks). Experience working with real-world clinical datasets (EHR, clinical records, registries, or similar). Ability to analyze and integrate multimodal biomedical datasets, including genomics, clinical data, and biomedical literature. Strong problem-solving skills and ability to collaborate across interdisciplinary teams, including clinical, bioinformatics, and product groups. Experience: Experience working with oncology real-world datasets. Experience applying large language models (LLMs) or retrieval-based AI systems to biomedical knowledge extraction. Experience integrating genomic sequencing data with clinical outcomes data. Track record of research publications or applied AI systems in healthcare or life sciences. Benefits And Perks: Working with a team of ‘rockstars’ who bring out the best in everyone Open, transparent culture that includes weekly Town Hall meetings The ability to indirectly or directly change the lives of hundreds of thousand patients Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80% Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%) Retirement savings program including a 4% Company match Free daily on-site lunches provided from top eateries Latest and greatest hardware (laptop, lab equipment, facilities) A variety of perks on campus (state of the art gym, restaurant) Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, 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 options, 401k match, very generous fully paid parental leave, etc.). BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For more information about how we protect your information, we encourage you to review our Privacy Policy. About BillionToOne BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA,a breakthrough that has already transformed the lives of over half a million patients worldwide. Our Impact Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care. Our Growth From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding,including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. Our Recognition Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees. Our Future Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started. Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com

Responsibilities

The scientist will leverage integrated datasets of genomic sequencing results and real-world clinical data to generate clinically meaningful insights and Real-World Evidence (RWE). This involves developing AI and machine learning approaches to uncover patterns and building AI-powered tools to enhance diagnostic utility and support internal scientific operations.