Life Sciences Associate

MVP Ventures; San Francisco (CA); Hybrid; USD 110,000 - 125,000; Full time

Job summary

Osmind in San Francisco, CA is seeking a Life Sciences Associate to join our Biosciences team. You will work at the intersection of neuropsychiatry, data, and commercial strategy, shaping engagements with biopharma partners from day one.

The role covers commercial modeling, research design, data analysis, and end-to-end client collaborations. You’ll interact with leadership, own workstreams, and help build a fast-moving, data-driven portfolio.

Qualifications

• Minimum 2 years in life sciences consulting or biotech commercial analytics.
• Experience with product forecasting, GTM strategy, market access, and payer dynamics.
• Strong Excel modeling skills with end-to-end ownership.

Responsibilities

• Build and own commercial models detailing market TAMs and forecast revenues.
• Design, implement, and analyze clinician surveys end to end.
• Analyze real-world datasets to generate actionable insights for partners.
• Develop client deliverables: slides, models, and proposals; manage deadlines.

Skills

Life sciences consulting

Biopharma exposure

Advanced Excel

Survey design

Client-facing & PM

Education

Degree in neuroscience/biology/biochemistry etc.

Tools

Qualtrics

Typeform

Job description

Life Sciences Associate

San Francisco, CA

Clinical /

Full-time /

Hybrid

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, and 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.)

$110,000 - $125,000 a year

Role structure and logistics

• Title: Life Sciences Associate
• Reports to: Senior Manager, Life Sciences Partnerships
• Compensation range: $110‑125K base salary plus equity program
• Start date: ASAP
• Location: San Francisco (required)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.