data scientist for women's health

Mira is building quantitative hormone tracking technology to advance women's hormonal health and help people better understand their reproductive health.

• Build and improve biometrics, algorithms, and data-driven insights for the Mira App
• Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities
• Develop and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations
• Partner with Product, Design, Engineering, R&D, and the Real-World Evidence Scientist to translate data into app features and evidence-backed insights
• Support RWE and clinical research projects with data extraction, exploratory analysis, modeling, and validation
• Define model performance and validation frameworks, including uncertainty, subgroup performance, missing data, and edge cases
• Improve data quality by identifying instrumentation gaps and recommending better data capture in the app
• Document model logic, assumptions, limitations, and appropriate use cases for technical and non-technical teams
• Work with Engineering to move prototypes toward production-ready app features or data pipelines

• Strong Python and data science skills
• Experience with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data
• Experience using model interpretability and explainability methods such as SHAP and LIME
• 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 technical and non-technical stakeholders
• High ownership, startup speed, and comfort working with ambiguity
• Good scientific judgment and ability to distinguish product insights from clinical or marketing claims
• Experience moving ML or algorithmic features toward production
• Будет плюсом: SQL

• 40-Hour workweek with flexible working hours and occasional overlap with the US team
• Competitive salary and a performance-based bonus system tied to OKRs
• Career growth opportunities, including the ability to shape, build, and develop teams as the company scales
• Assessment task as part of the recruiting process
• The company is a femtech business focused on advancing women's health and expanding access to care