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Supported a large pharma with data-driven clinical trial design. Leveraged EHR-derived real-world data and machine learning to predict enhanced response to multiple marketed treatments with a similar MOA to their investigational product, translating response enrichment into specific I/E criteria.

Supported a publicly traded biotech with regulatory submission of a New Drug Application, leveraging proprietary real-world EHR data for supportive evidence across efficacy and safety. Osmind's role spanned regulatory-grade RWD, end-to-end statistical analysis, study design and execution, and direct regulatory support.

Supported a publicly traded biotech with commercial launch planning and forecasting through mixed-methods research. Leveraged real-world EHR and billing/claims data alongside primary research with clinicians and practice managers to detail gaps across coding, reimbursement, clinic economics, and prescribing behavior — directly influencing commercial and market access strategy.

Helped a pharma partner optimize the launch of a novel treatment by addressing barriers to patient identification and treatment inertia. Executed a campaign pairing broad and personalized clinician education with EHR-based in-workflow patient identification tools, alerts, and dashboards that nudged clinicians to take appropriate clinical action.

A pharma partner needed specific data elements unavailable through existing EHR or claims data. Osmind added custom required variables directly into the EHR, creating a fit-for-purpose dataset. An HEOR RWE analysis was initiated after the sample size grew to thousands of patients within weeks.