Data Scientist at Mira

Mira is building the future of women's hormonal health through quantitative hormone tracking technology. We're seeking an exceptional Data Scientist to be the founding member of our data science function. This is a unique opportunity to define and build the algorithmic foundation that will help millions of women better understand their reproductive health.

As our first Data Scientist, you will own the entire research agenda - from defining what to measure and why, to building production-ready algorithms that interpret complex hormonal data across diverse populations. You'll work at the intersection of reproductive biology, machine learning, and regulated medical device development, translating cutting-edge science into features that ship in our consumer product. This role reports to the Head of R&D and will eventually grow into leading a data science team as we scale.

Requirements

Must-have:

• Strong Python and data science skills; SQL preferred.
• Experience with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data.
• Experience in consumer health, digital health, wearables, diagnostics, medical devices, SaMD, or IVD.
• Strong model validation judgment, including handling missing data, avoiding leakage, testing robustness, and evaluating performance across user segments.
• Ability to translate data into user-facing product features, metrics, recommendations, or algorithms.
• Experience building models, scores, or analytical frameworks that influenced product, clinical, or business decisions.
• Strong communication skills with both technical and non-technical stakeholders.
• High ownership, startup speed, and comfort working with ambiguity.
• Good scientific judgment; able to distinguish product insights from clinical or marketing claims.

Nice-to-have: