Senior Computational Biologist to own bio data pipelines and interpretation end-to-end, from QC through positive control recovery to causal target hypotheses for a genetic disease cohort. Work covers association and causal gene mapping (rare variant burden, colocalization, Mendelian randomization) and partnering with ML researchers on multi-modal data. Requires PhD plus 4+ years post-PhD, with Python and workflow manager (e.g., Snakemake) experience; reports to VP of R&D.
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.
Probably Genetic has built one of the deepest phenotyped genetic disease cohorts in the U.S. by facilitating patients' access to genetic testing. We are now using this rich database for target discovery.
We're hiring a Senior Computational Biologist to own our bio data pipelines and interpretation end-to-end. . You'll take our data from QC through positive control recovery to novel, causal, direction-of-effect target hypotheses, and collaborate closely with our team on prioritizing new data modalities to collect.. In addition, your results will be used by our ML researchers to train ML models on multi-modal data and support target discovery. . This is a hands-on, first-of-its-kind role reporting to our VP of R&D.
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.
Compensation: $160K - $200K