Life Sciences Associate

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.)