Role overview
Osmind powers the largest network of independent psychiatry practices in the country — 1,000+ clinics — on top of our own EHR and real-world evidence platform. Our Biosciences team turns that data and clinical footprint into partnerships with biopharma companies across our four life sciences product lines: clinical real-world evidence, clinical research, commercial real-world evidence, and sales & marketing solutions. See osmind.org/life-sciences for more information.
Our Biosciences unit is a small, fast-moving team sitting at the intersection of neuropsychiatry, data, and commercial strategy — and this hire will be one of the first few people building it out. You'll have direct exposure to biopharma partners and executive leadership from your first month, and the scope of what you own will expand quickly — from contributing to workstreams, to owning them outright, to eventually shaping the direction of an engagement.
What you’ll do
Commercial modeling
Build and own commercial models detailing specific market TAMs, expected product revenues, psychiatric clinic revenue modeling, and epidemiological based forecasting
Combine clinical trial data, market research, and analyst reports into competitive landscape analyses
Build scenario-based models capable of demonstrating first and second order effects of various inputs
Research design and execution
Design, edit, program, and field quantitative surveys for a variety of clinician audiences. This includes end-to-end execution across instrument design through analysis.
Draft clinician interview guides and lead subsequent interviews
Run research operations end to end, from participant recruiting through fieldwork completion
Turn primary research and real-world evidence into insights that move a commercial project forward
Data and evidence
Analyze real-world datasets spanning claims and EHR data to find actionable insights
Design and build both prospective and retrospective data analysis projects
Track the competitive and launch landscape for the therapies our partners care about
Partnerships
This role is built for someone who will mature into a full end-to-end client lead. You will have high exposure to our partners from the start.
Build the deliverables that go to partners: presentation slide decks, handoff-ready models, conference abstracts, and more
Manage against real deadlines, including external review windows you don't control
Learn Osmind's rights-to-win well enough that you can eventually write a proposal end-to-end — scope, pricing, terms — for a new business opportunity. Sit in client and prospect meetings, help write proposals, support negotiations, and support project execution & upsell discussions.
Leverage your client-facing abilities to develop deep relationships, effectively project manage client projects, and identify and execute on cross-sell and upsell opportunities
Maintain an understanding of R&D pipelines, M&A activity, funding activity, asset development, etc. of neuropsychiatry drug and device development
Requirements
At least 2 years at a life sciences consulting firm (or within a commercial analytics, market research, business operations role within a biotech company)
Direct commercial biopharma exposure across product forecasting, launch/GTM strategy, market access, and payer dynamics
Advanced Excel skills: You've built complex models from scratch and owned them end to end. Comfortable with scenario logic, sensitivity analysis, and structuring a model someone else can pick up
Survey instrument design experience (Qualtrics, Typeform, or similar platforms)
Capable of translating both unstructured and structured data into actionable analyses and insights that solve our clients questions
Attention to detail and operational excellence
Comfort with ambiguity, and the initiative to move a deliverable forward without being told to
This role is based in San Francisco and has an in-office requirement of twice a week
Nice to have
Advanced analytics experience (Python, R, SQL)
Psychiatry, neuroscience, or CNS experience
Startup experience or small-team background
A degree in a relevant scientific field (neuroscience, biology, biochemistry, bioengineering, biostatistics, etc.)
