Job Details

Data Scientist for Generation Lab – designing the tools to measure and reverse human aging

Join to apply for the Data Scientist for Generation Lab – designing the tools to measure and reverse human aging role at Generation Lab.

Senior Scientist / Research Scientist: This role combines deep expertise in biology and bioinformatics with fluency in data science, coding, and ML modeling.

Necessary qualifications: PhD or equivalent in biomedical sciences, computational biology, statistics, bioinformatics, or a related field; proficiency in Python, R, and SQL; familiarity with data pipeline design and distributed computing environments; experience building real-world applications of ML/AI—recommendation engines, predictive health models, or equivalent expertise.

Bonus If You: Have experience with clinical studies or FDA‑aligned validation pipelines; Have contributed to open‑source tools or published high‑impact papers in aging research, or AI in health.

Generation Lab is the fastest‑growing longevity company. Backed by Accel and co‑founded by Dr. Irina Conboy (world‑recognized leader in aging research). We were the first to discover the physiologic, fundamentally conserved, curve of biological aging and developed SystemAge that measures (not predicts) the age/health of 19 organismal systems/functions from a single blood draw at home. We are not stopping here. We're developing effective and safe next‑gen longevity therapeutics that attenuate, prevent, and even reverse human aging. We're trusted by 200+ top longevity clinics, elite athletes, and public figures like Kim Kardashian, Peter Diamandis, and Brian Chesky.

Join us as we redefine how humans quantify, control, and reverse biological time.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering and Information Technology

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