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Director of Product, Life Sciences (Chemistry)

Lila Sciences
Posted 8 months ago, valid for 8 days
Location

Cambridge, MA 02139, US

Salary

$184,000 - $294,000 per year

Contract type

Full Time

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Sonic Summary

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  • Lila Sciences is seeking a (Senior) Director of Product, Medicinal Chemistry, to lead the strategic vision and execution of their therapeutic research capabilities.
  • The ideal candidate will have at least 9 years of experience in product management within drug discovery or related fields, alongside 3 years of cross-functional team leadership.
  • A strong background in medicinal chemistry and familiarity with ML tools for drug discovery are essential for this high-impact role.
  • The position offers a competitive salary range of $184k–$294k USD per year, with potential bonuses and equity options.
  • Lila Sciences promotes equal employment opportunities and encourages candidates from diverse backgrounds to apply.

Your Impact at Lila

Lila Sciences is looking for a Director of Product, Life Sciences strategic and visionary product leader who will shape the future of our therapeutic research and development capabilities. Reporting to the Vice President, Life Science Product, you will lead the strategy, roadmap, and execution for products and platforms at the intersection of drug discovery, chemical synthesis, and scientific intelligence.

What You'll Be Building

  • Drive the strategic direction for turning our AI capabilities toward breakthrough solutions in drug discovery, chemical synthesis, and molecular characterization
  • Translate strategic objectives into target product profiles (TPPs) and development campaigns that guide science and engineering teams and enable breakthrough innovations in life sciences
  • Lead customer and internal-user discovery, serving as the technical link to external customers and partners in the life sciences
  • Identify and shape product opportunities grounded in real-world discovery challenges, partnering closely with collaborators, customers, and strategic partners to ensure relevance and downstream value
  • Translate insights into clear product requirements, acceptance criteria, and experiment plans that guide engineering and science teams
  • Drive product execution from concept to launch while leading cross-functional teams across science, machine learning, automation, and software engineering
  • Manage resource allocations (budget, compute, lab access, people) and decisions against a complex set of priorities (e.g., focus of experiments between AI model training and near-term partnership requests)
  • Define clear success metrics and milestones, and clearly communicate progress against them to the company, including executive leadership

 

What You’ll Need to Succeed

 

  • MS, PhD, or equivalent experience in medicinal chemistry, chemical biology, chemical engineering, biochemistry, or a related field, with a strong grounding in experimental science
  • 7+ years in Product Management building new and/or experimental products in drug discovery, molecular profiling, machine learning, or scientific software development
  • Deep understanding of drug development processes, molecular and cellular research tools, and wet and dry lab workflows
  • Experience with small molecule discovery workflows (e.g., lead optimization, ADMET profiling, synthesis planning) is strongly preferred
  • Experience defining and executing target product profiles (TPPs) for new drug products, life sciences research tools, or scientific data platforms
  • Experience with managing extremely complex, multidisciplinary projects using project management best practices
  • Relentlessly output-focused; driven by impact against our mission and program goals, not by doing tasks, owning decisions, or being in meetings
  • Proven ability to influence without authority and lead cross-functional teams effectively
  • Highly collaborative and empathetic
  • High degree of comfort with ambiguity and able to adapt to changing teams and needs
  • Able to create small, achievable units of work from large, complex, and ambiguous goals
  • Excellent communication and presentation skills, capable of conveying technical information to any audience

Bonus Points For

  • Experience with automated/self-driving labs and experience working with (not necessarily having run) ML approaches relevant to drug discovery and molecular science
  • Following the rapid evolution of LLMs and other AI solutions and have thoughts and opinions on how this will impact the future of scientific discovery and product development
  • Background in partnering with biopharma or research organizations to define collaborative milestones and workflows

 

About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Compensation

We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

Expected Base Salary Range
$184,000—$256,000 USD



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By applying, a Lila Sciences account will be created for you. Lila Sciences's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.