Director/Senior Director, Molecular Discovery

Lila Sciences
Cambridge
Workplace: OnsiteFull timeFunction: Executive & General ManagementExperience: 12+ yearsEducation: phdSkills: ["AI","Team leadership","Communication","Problem-solving"]

Lead the end-to-end small molecule discovery programs within an autonomous AI-enabled platform. Directly manage throughput, quality, and timelines across multiple targets, collaborating with AI/ML, robotics, and platform engineering teams to translate computational predictions into validated drug candidates with strong ADMET and developability profiles.

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Lila Sciences
Lila Sciences
2 months ago

Director/Senior Director, Molecular Discovery

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Last checked: 54 minutes agoStatus: Live

Job Summary

Lead the end-to-end small molecule discovery programs within an autonomous AI-enabled platform. Directly manage throughput, quality, and timelines across multiple targets, collaborating with AI/ML, robotics, and platform engineering teams to translate computational predictions into validated drug candidates with strong ADMET and developability profiles.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Sr. Director level

Key Responsibilities

  • •Own small molecule discovery programs against assigned targets, from hit identification through lead optimization and candidate nomination.
  • •Lead discovery output, timelines, quality benchmarks, and throughput targets across active programs.
  • •Interface between the autonomous platform and drug discovery decision-making to ensure potency, selectivity, ADMET properties, and developability are met.
  • •Collaborate daily with AI/ML, robotics, and software engineering teams to close the loop between computational predictions and experimental results.
  • •Architect the components of each discovery program end to end, specifying assays, capabilities, and managing the scientific staff to execute with defined quality standards and decision criteria.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid Leave

Key Requirements

  • •Ph.D. in medicinal chemistry, computational chemistry, chemical biology, or a closely related discipline.
Experience:12+ yearsDrug discoveryBiotechPharmaceuticalAI in life sciences
Education:PhD / Doctorate
Skills:AITeam leadershipCommunicationProblem-solving
Languages:English
Tech Stack:AI/MLRoboticsSoftware engineeringMedicinal chemistrySARADMETDMPKGenerative chemistryActive learning

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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