Women’s Health Data Insights Lead

I’m building an intelligence platform focused on women’s health and wellness and I need an AI/ML professional to take ownership of the data analysis and preprocessing stage so we can start surfacing valuable, actionable insights immediately. You’ll be handed raw, multi-source datasets covering cycle tracking, wearable biosignals, lifestyle journals, and anonymised clinical notes. Your mission is to interrogate this data, resolve inconsistencies, engineer meaningful features, and lay down a robust preprocessing pipeline that feeds seamlessly into our future predictive models. The end-goal for this phase is clear: extract insights that help us validate product hypotheses and impress early pilot partners. We move fast—ASAP delivery is non-negotiable—so I’m looking for someone who can jump in, spin up notebooks, and iterate daily. Expect to work with Python (Pandas, NumPy, SciPy), SQL, and ideally Spark for the heavier ETL steps; experience deploying workflows on AWS or GCP is a plus because we’ll be productionising soon. Deliverables • Cleaned, well-documented datasets ready for downstream modelling • A reproducible preprocessing pipeline (scripts or notebooks + environment files) • An insights report highlighting key trends, anomalies, and recommendations for product direction Acceptance criteria • All code executables run end-to-end on our sample stack without manual fixes • Documentation is clear enough for a new engineer to reproduce results in under one hour • Insights are supported by visualisations and statistical evidence, not just narrative If you thrive on transforming messy health data into stories that matter, let’s move quickly and make an impact together.

Project ID: 40370905