Pharma Commercial Strategy Advisor Remote
il y a 1 semaine
About The Job
Mercor
connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
Benchmark
,
General Catalyst
,
Peter Thiel
,
Adam D'Angelo
,
Larry Summers
, and
Jack Dorsey
.
Position:
Senior Commercial / Forecasting Expert
Type:
Contract / Part-time
Compensation:
$200–$275/hour
Location:
Remote
Role Responsibilities
- Write "golden" peak-sales forecasts for representative drug programs and standard prompts.
- Define structural checks, scenario logic, and sanity bands for automated forecast evaluations.
- Make explicit the heuristics and base-rate assumptions used by experienced forecasters to distinguish realistic models from speculative ones.
- Collaborate with data science and evaluation teams to enhance forecast accountability and improve model outputs.
- Develop a forecast rubric with critical checks for market structure realism and patient flow logic.
Qualifications
Must-Have
- Director/Sr. Director/VP-level experience in global forecasting, brand planning, or commercial insights.
- Experience building and defending patient-based peak-sales models used in portfolio, BD, or investment contexts.
- Familiarity with forecasting for multiple drugs or indications, especially pre-launch and early commercialization.
- Ability to articulate reasoning behind base-case assumptions and their evolution post-launch.
- Experience writing or reviewing governance-ready peak-sales models.
Preferred
- Senior biotech equity analyst, VC incubation / BD lead, or company creation expert.
- Experience building patient-level and revenue models for investment diligence or asset valuation.
- Ability to critique or improve bottoms-up forecasts from an investor's perspective.
Experience Level
- 10–15 years in biotech/pharma forecasting, investment, or commercial strategy roles.
- Experience with pre-launch forecasts → post-launch actuals for multiple assets.
- Comfort with market modeling logic (TPP inputs → eligible pool → penetration → price/net → ramp + LOE).
- Evidence of post-hoc learning and ability to articulate where real-world results diverged from base-case assumptions.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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