Director, Strategy & Business Development
Cytokinetics
August 21, 2026
On-site
San Francisco Bay Area
Corporate Functions
Key Responsibilities
Business development support & drug forecasting
- Own and build first-pass, top-down drug revenue forecasts translating epidemiology, diagnosis and treatment rates, pricing, and penetration/peak-share assumptions into commercial forecasts.
- Develop and apply valuation models based on forecasts (rNPV, scenario and sensitivity analysis), including out-licensing/deal modeling; translate outputs into implications, trade-offs, and recommendations.
- Challenge and pressure-test commercial assumptions to strengthen forecast/valuation quality and BD decision-making.
- Continuously improve reusable forecast, valuation, comps, and screening templates.
- Support ad-hoc BD analysis and tooling (e.g., asset-identification screens across scientific-congress datasets).
Enterprise strategy & planning
- Support annual strategic planning cycle and August Board presentation end-to-end (narrative, analysis, synthesis).
- Own and improve cross-functional planning inputs/templates across Finance, R&D, and Commercial.
Enterprise AI as a strategic initiative
- Support program management for AI ambition: intake/triage, prioritization, cadence, and governance development support with IT across COC/SLT/Executive Committee.
- Build templates and enablement for “AI champions”; maintain repository of AI use cases.
- Coordinate AI content for leadership and Board materials.
CSC & Board analytics
- Deliver ad-hoc executive analyses including MFN and drug-pricing differential analysis; red-team.
Qualifications
- 4–7+ years in strategy consulting, investment banking, corporate strategy, or biotech/pharma BD; MBA/PhD/MD or equivalent a plus.
- Ability to build top-down drug revenue/commercial models from epidemiology, pricing, and uptake assumptions.
- Quantitative/financial modeling skills (rNPV, DCF, comparable transactions, scenario/sensitivity).
- Structured, decision-ready recommendations for ambiguous problems.
- AI-capable: LLM tooling, prompt engineering, lightweight automations; take use case from POC to adoption.
- Excellent executive communication; credibility with senior leaders/Board.
- Therapeutic fluency (cardiovascular/rare disease a plus).
Location: On-site, South San Francisco, CA; at least 4 days onsite each week.
Pay Range: $235,800–$275,100 base; benefits include equity (options/RSUs), health/dental/vision/life/disability, 401k match, learning & wellness stipends, and paid time off.
Application instructions: Please review the GDPR policy PRIOR to applying.
Business development support & drug forecasting
- Own and build first-pass, top-down drug revenue forecasts translating epidemiology, diagnosis and treatment rates, pricing, and penetration/peak-share assumptions into commercial forecasts.
- Develop and apply valuation models based on forecasts (rNPV, scenario and sensitivity analysis), including out-licensing/deal modeling; translate outputs into implications, trade-offs, and recommendations.
- Challenge and pressure-test commercial assumptions to strengthen forecast/valuation quality and BD decision-making.
- Continuously improve reusable forecast, valuation, comps, and screening templates.
- Support ad-hoc BD analysis and tooling (e.g., asset-identification screens across scientific-congress datasets).
Enterprise strategy & planning
- Support annual strategic planning cycle and August Board presentation end-to-end (narrative, analysis, synthesis).
- Own and improve cross-functional planning inputs/templates across Finance, R&D, and Commercial.
Enterprise AI as a strategic initiative
- Support program management for AI ambition: intake/triage, prioritization, cadence, and governance development support with IT across COC/SLT/Executive Committee.
- Build templates and enablement for “AI champions”; maintain repository of AI use cases.
- Coordinate AI content for leadership and Board materials.
CSC & Board analytics
- Deliver ad-hoc executive analyses including MFN and drug-pricing differential analysis; red-team.
Qualifications
- 4–7+ years in strategy consulting, investment banking, corporate strategy, or biotech/pharma BD; MBA/PhD/MD or equivalent a plus.
- Ability to build top-down drug revenue/commercial models from epidemiology, pricing, and uptake assumptions.
- Quantitative/financial modeling skills (rNPV, DCF, comparable transactions, scenario/sensitivity).
- Structured, decision-ready recommendations for ambiguous problems.
- AI-capable: LLM tooling, prompt engineering, lightweight automations; take use case from POC to adoption.
- Excellent executive communication; credibility with senior leaders/Board.
- Therapeutic fluency (cardiovascular/rare disease a plus).
Location: On-site, South San Francisco, CA; at least 4 days onsite each week.
Pay Range: $235,800–$275,100 base; benefits include equity (options/RSUs), health/dental/vision/life/disability, 401k match, learning & wellness stipends, and paid time off.
Application instructions: Please review the GDPR policy PRIOR to applying.