openashbyhqa16z
Senior Manager / Associate Director, Project & Portfolio Management
Insitro
LocationSouth San Francisco, CA
EmploymentFullTime
Posted2026-06-12T22:58:08.402+00:00
Last observed2026-06-16 14:53:20.930037
Job ida16z-insitro:ashbyhq:df1ee9ca-8d16-49a9-98e4-73cf7d0ce41b
THE OPPORTUNITY The unprecedented convergence of multi-modal data, advanced disease modeling, and computational power is revolutionizing drug discovery. insitro is harnessing this moment to redefine how medicines are developed for complex diseases. Our AI/ML-enabled platforms integrate and scale data to rapidly discover novel biological insights to redefine complex diseases and identify new targets and drugs. To enable this vision we are seeking an Sr. Manager (Associate Director) of Project and Portfolio Management who will help our project teams to discover and advance exciting drug candidates into the clinic for neurological or metabolic indications. Reporting into the Head of Project and Portfolio Management (PPM), you will partner with project team leaders in developing rightsized project strategy and create a successful team environment with a high-level of performance. You will develop and execute high quality integrated project plans with clear timelines spanning research, discovery, clinical development, software engineering, and data science/machine learning. As part of PPM you will also be a part of establishing and improving project management tools and methodologies across our portfolio to support critical initiatives. This role can be either hybrid coming onsite to our South San Francisco headquarters or remote with travel to the office as work necessitates; local candidates will have the option of a hybrid approach with three days per week in the office. ABOUT YOU - BS degree required in a life science field, MS or PhD preferred - Minimum of 5 years of experience (8 years for Assoc Dir) in biotech/pharmaceutical industry in the early development space, including 2+ years (5+ for Assoc Dir) in project/portfolio leadership leading cross-functional matrix teams - Extensive knowledge of the drug development process and deliverables at each stage of the pipeline, with deep experience in translational stages, target discovery, early commercial assessment and preliminary clinical development - Excellent Project Management Skills – driving execution while balancing speed, quality, and cost including proficiency with project management tools and software e.g., critical path analyses and scenario planning (project management certification preferred) - Ability to strategically analyze and summarize complex information into important concepts for broader communication including to senior leaders - Deep experience leading matrix team meetings to enable collaboration, decision-making, and alignment with internal and external customers while leading all aspects of project scope, deliverables, risks, and resources - Ability to resolve complex cross-functional problems while building and maintaining positive working relationships with collaborators - Familiarity with high-content human data modalities (e.g., genetics/genomics, histopathological imaging, spatial biology), data generation technologies and familiarity with computational methods that are relevant to biomedical informatics, clinical informatics, statistical genetics, and medical genetics NICE TO HAVE - Project Management Certification (PMP or equivalent) - Familiarity with Google suite and Smartsheets strongly preferred - Prior use of generative AI tools / LLM technologies in day-to-day work (e.g. ChatGPT, Gemini, Perplexity) - Understanding of high-content human data modalities (e.g., genetics/genomics, histopathological imaging, spatial biology) and data generation technologies - Familiarity with and passion about machine learning enabled drug discovery COMPENSATION & BENEFITS AT INSITRO Our target starting salary for successful US-based applicants for this role is $164,000 - $204,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation
This page is generated from the committed OpenOpps static snapshot. Use the source posting or apply link for the employer's current canonical posting state.