Data Scientist

About Mira

Mira is a hormonal health company headquartered in San Francisco 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 an FDA-compliant at-home hormone monitor that uses quantitative testing technology. Its mission is to make hormone data understandable and actionable so women can make informed choices about their health, from cycle tracking and family planning to hormonal imbalance management and the menopause transition.

Mira focuses on improving real-world health outcomes through personalized insights, advanced technology, and science-led data that turns hormone information into practical guidance for everyday wellbeing.

About the Role

Mira is hiring a Data Scientist to help shape the future of women’s hormonal health through quantitative hormone tracking. This is a founding data science role with the chance to define the analytical and algorithmic base that will support millions of women in understanding reproductive health.

You will own the full research direction, from deciding what should be measured and why, to developing production-ready models that interpret complex hormone data across varied populations. The work sits at the intersection of reproductive biology, machine learning, and regulated medical device development, with results that will be converted into product features.

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

Responsibilities

• Create and refine biometrics, algorithms, and data-informed insights for the Mira App.
• Study hormone, cycle, app usage, and user outcome data to uncover patterns and identify product opportunities.
• Design and validate models for ovulation timing, cycle behavior, hormone interpretation, and personalized recommendations.
• Work closely with Product, Design, Engineering, R&D, and the Real-World Evidence Scientist to turn data into app functionality and evidence-based insights.
• Support real-world evidence and clinical research efforts through data extraction, exploratory analysis, modeling, and validation.
• Establish model performance and validation standards, including uncertainty handling, subgroup analysis, missing data, and edge cases.
• Improve data quality by spotting instrumentation gaps and suggesting better in-app data collection.
• Clearly record model logic, assumptions, limitations, and appropriate use cases for both technical and non-technical audiences.
• Collaborate with Engineering to move prototypes into production-grade app features or data pipelines.

Requirements

• Strong Python-based data science capability; SQL is preferred.
• Hands-on experience with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker datasets.
• Working knowledge of model explainability and interpretability tools such as SHAP and LIME.
• Background in consumer health, digital health, wearables, diagnostics, medical devices, SaMD, or IVD.
• Sound model validation skills, including managing missing values, preventing leakage, stress-testing robustness, and assessing performance across user groups.
• Ability to convert data outputs into product-facing features, metrics, recommendations, or algorithms.
• Track record of building models, scores, or analytical systems that shaped product, clinical, or business decisions.
• Strong communication skills for both technical and non-technical stakeholders.
• High ownership, speed, and comfort operating in ambiguity typical of a startup environment.
• Strong scientific judgment with the ability to separate product insight 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 a plus.
• Experience taking machine learning or algorithmic features toward production is preferred.
• Familiarity with clinical validation, regulatory documentation, claim substantiation, or peer-reviewed research is a plus.

Benefits

• Join a high-growth femtech company with a mission to improve women’s health and widen access to care.
• Work with a motivated, international team focused on making a meaningful impact on people’s lives.
• Operate in a fast-moving startup setting where your work influences growth, strategy, and important decisions.
• Grow into larger responsibilities with opportunities to shape and build teams as the company scales.
• Enjoy a flexible fully remote setup that emphasizes autonomy, ownership, and independence.
• Receive a competitive salary plus a performance-based bonus linked to OKRs.

Additional Information

This is a B2B contract role that is fully remote. The location listed for the position is Toronto, Ontario, Canada.