About The Role

Join our team as a Technical Program Manager (R&D) and play a critical role in reshaping drug discovery and advancing machine learning. You will partner directly with our R&D department head and Product and Engineering to set ROI-optimal strategy and own the execution machinery that turns that strategy into shipped, on-time, drama-free, and defensible results. You will anticipate bottlenecks, translate between different stakeholders, design execution rituals, own the roadmap end-to-end, drive resourcing conversations, and ensure clean launches.

Coordination and orchestration of the execution machinery that turns strategy into shipped, on-time results.
Anticipation of bottlenecks and working with R&D and Product to define requirements, surface technical dependencies, and build delivery schedules.
Building and defending ROI-generating roadmaps for teams doing genuinely novel, high-uncertainty scientific work.
A track record, proven by specific moments you can point to, of stepping into a program mid-crisis (a stalled milestone, a resourcing gap, a scope blowup) and getting it back on track
Deep experience working within heavily scientific teams
A bias toward asking "how might this plan break in six months?" before it does. You plan for your own team's disruption, not just external risk
Demonstrated ability to build and defend ROI-generating roadmaps for teams doing genuinely novel, high-uncertainty scientific work
8+ years in technical program management or a similar role, with real experience sitting inside, rather than just tracking the status of, R&D or deep-science teams that shipped world-class products
An advanced degree in a technical field, or
Experience partnering directly with finance and product leadership to tie technical delivery to investment decisions
Proven ability to get fluent in a new scientific domain fast enough to make good calls in it independently as demonstrated by either or both of:
Experience standing up program management tooling, dashboards, or automation pipelines that a scientific team actually kept using
Degree in machine learning and/or a drug-discovery-related field
Direct biotech or biopharma experience
Experience at a startup, or in another environment where the roadmap changed faster than the org chart could keep up

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