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Lila Sciences

AI-powered scientific discovery for medicines

Senior Director, New Product Planning - Portfolio Strategy, Life Sciences

Corporate StrategyConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • Six to eight or more years in new product planning, commercial assessment, asset strategy, or business development within pharma, biotech, or a life sciences investor setting, with a track record of shaping go/no-go decisions on early assets.
  • Strong scientific literacy in life sciences, including therapeutics, modalities, and disease biology, and the ability to engage substantively with Science and external KOLs and translate scientific nuance into commercial implications.
  • Demonstrated ability to match therapeutic modalities to disease areas, with a clear point of view on where biological fit, unmet need, and competitive landscape converge.
  • Hands-on modeling experience in market sizing, patient population analysis, forecasting, and deal economics; comfortable building models from scratch and defending assumptions.
  • Active fluency in industry trends, pipeline movement, and deal activity across pharma and biotech.
  • Ability to distill complex commercial and scientific analyses into clear recommendations for senior leadership.
  • Comfort operating in high ambiguity with limited oversight and building structure where none exists.

Responsibilities

  • Source and evaluate new life sciences opportunities for Origins, screening for scientific differentiation, commercial viability, and fit with Lila's platform capabilities.
  • Track therapeutic area trends, modality breakthroughs, pipeline movement, and deal activity across pharma and biotech, and translate signals into actionable views for Origins.
  • Match therapeutic modalities to disease areas using biological rationale, competitive landscape, and unmet need, and recommend where Origins should concentrate effort.
  • Build and own market sizing, patient population, and deal economics models that inform go/no-go decisions on candidate ventures and partnerships.
  • Develop target product profiles and early commercial theses for assets under consideration in partnership with Science, Product, and Corporate Development.
  • Run primary and secondary research, including KOL interviews, competitor tracking, and payer and clinician landscape research, to stress-test assumptions and sharpen recommendations.
  • Shape deal structures and partnership constructs alongside Corporate Development, translating commercial logic into terms that work for Lila and counterparties.
  • Synthesize learning across opportunities into recommendations on therapeutic area focus, modality bets, and partnership models to contribute to Origins' strategic thesis.

Desired Qualifications

  • An advanced degree in life sciences, such as a PhD or MS in biology, chemistry, or bioengineering, or an MBA with deep life sciences focus.
  • A network of biotech operators, VCs, KOLs, and pharma business development leaders to tap for diligence and signal.
  • Hands-on use of AI tools in workflows such as market research, competitor tracking, modeling, or synthesis, and a clear point of view on how AI is reshaping drug discovery and asset creation.
  • Prior experience structuring or evaluating partnership models, joint ventures, or NewCo formation.

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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