Life Sciences Technical Program Manager

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Life Sciences Technical Program Manager Cambridge, MA USA Your Impact at LILA Lila Sciences is applying its autonomous science platform to some of the most complex challenges in biology and medicine - from protein therapeutics and nucleic acid design to antibody discovery and cell therapies. The Life Sciences experiment team is running programs where the pace of autonomous experimentation demands real operational rigor, and we're looking for a Technical Program Manager to provide it. You'll work closely with the Life Sciences domain lead who sets scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won't be directing scientific work - you'll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments. What You'll Be Building - Own day-to-day program execution within the Life Sciences experiment team - maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor - Serve as the primary operational interface between the Life Sciences team and platform partners (Automation, ML, Engineering) communicating needs, aligning on priorities, and keeping dependencies visible and resolved - Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale - Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful meetings,

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.