Data Scientist - Digital Health (Remote EU, B2B contract)

About Mira

Mira is a San Francisco-based hormonal health company that offers integrated care and hormone testing to more than 300,000 customers. In 2023, Inc. 5000 named the company the fastest-growing femtech business in the United States.

The company’s key innovation is the only FDA-compliant at-home hormone monitor with quantitative testing technology. Its mission is to make hormone data understandable and useful, helping women make confident health choices throughout life, from cycle health and family planning to hormonal imbalances and the menopause transition.

Mira focuses on better real-world outcomes by combining personalized insights, advanced technology, and science-backed data into practical everyday guidance.

About the role

Mira is developing the next generation of women’s hormonal health products using quantitative hormone tracking. The company is looking for a senior data science hire to become the first member of its data science function and help establish the algorithmic base that will support millions of women in understanding reproductive health.

In this role, you would own the research direction end to end: deciding what should be measured and why, then turning that into production-ready algorithms that make sense of complex hormonal data across diverse user groups. The work sits at the intersection of reproductive biology, machine learning, and regulated medical device development, with an emphasis on turning scientific findings into product features.

The position reports to the Head of R&D and is expected to grow into a leadership role as the data science team expands.

Responsibilities

• Create and refine biomarkers, algorithms, and data-driven insights for the Mira app.
• Examine hormone, cycle, app usage, and user outcome data to uncover trends and product opportunities.
• Design and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations.
• Work closely with Product, Design, Engineering, R&D, and the Real-World Evidence Scientist to convert data into app features and evidence-based insights.
• Support real-world evidence and clinical research work through data extraction, exploratory analysis, modeling, and validation.
• Set up model performance and validation standards, including uncertainty handling, subgroup analysis, missing-data treatment, and edge-case checks.
• Strengthen data quality by spotting instrumentation issues and recommending better in-app data capture.
• Write clear documentation covering model logic, assumptions, constraints, and appropriate use cases for both technical and non-technical audiences.
• Collaborate with Engineering to move prototypes into production-ready app features or data pipelines.

Requirements

• Strong hands-on experience with Python and data science; SQL is preferred.
• Background working with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data.
• Exposure to consumer health, digital health, wearables, diagnostics, medical devices, SaMD, or IVD.
• Sound model validation skills, including missing-data handling, leakage prevention, robustness testing, and performance evaluation across user segments.
• Ability to turn data into user-facing product features, metrics, recommendations, or algorithms.
• Proven experience building models, scores, or analytical frameworks that affected product, clinical, or business decisions.
• Excellent communication skills for both technical and non-technical stakeholders.
• Strong sense of ownership, ability to work quickly in a startup setting, and comfort with ambiguity.
• Good scientific judgment and the ability to separate product insights from clinical or marketing claims.
• Experience with menstrual cycle, fertility, reproductive health, hormones, or women’s health data is preferred.
• Advanced degree in a quantitative, biomedical, physics, or health-related discipline is preferred.
• Experience with Bayesian statistics, signal processing, causal inference, survival analysis, or longitudinal modeling is preferred.
• Experience taking ML or algorithmic features toward production is preferred.
• Familiarity with clinical validation, regulatory documentation, claim substantiation, or peer-reviewed research is preferred.

Benefits

• Work with one of the fastest-growing femtech companies in the U.S. and contribute to a mission focused on improving women’s health and access to care.
• Join an enthusiastic, highly driven, international team that is committed to making a meaningful difference.
• Operate in a fast-moving startup environment where your work has direct influence on company growth, strategy, and major decisions.
• Grow with the business and have opportunities to help shape and build teams as the company scales.
• Enjoy a flexible fully remote setup that supports autonomy, ownership, and independence.
• Receive a competitive salary plus a performance bonus linked to OKRs.

Additional information

This is a full-time remote role for Europe and is structured as a B2B contract.