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At Adaptyv our highthroughput cloud lab enables protein designers to experimentally validate their proteins with the click of a button. Were building advanced molecular biology workflows assay automation and software infrastructure to make it easy for our users to engineer better proteins. Since the launch of our beta access in June 2024 weve been growing rapidly and are now working with the fastestmoving protein design teams in the world across tech bio startups major AI companies and the biggest pharmas.
We are looking for a Scientific Project Manager to lead and coordinate molecular biology protein engineering and highthroughput research projects in a fastpaced highgrowth environment. This role sits at the intersection of science operations and ensuring that research initiatives are wellplanned costeffective and efficiently executed. You will work closely with scientists automation engineers and external partners to manage timelines optimize resources and drive projects to completion.
Responsibilities
Plan manage and execute scientific projects in molecular biology protein engineering and highthroughput workflows.
Track project budgets and perform financial modeling calculating experimental costs forecasting resource needs and optimizing spending.
Manage supplier relationships sourcing lab consumables negotiating with vendors and ensuring timely procurement of reagents and equipment.
Coordinate crossfunctional teams ensuring alignment between research automation and data teams.
Develop scalable workflows and processes to improve efficiency reproducibility and costeffectiveness in research projects.
Analyze and communicate project outcomes preparing updates and reports for leadership and external partners.
Identify risks and proactively solve problems ensuring projects stay on track and adapt to challenges.
Qualifications
MS or PhD in Molecular Biology Bioengineering Biotechnology Life Sciences or a related field.
3 years of experience in scientific project management preferably in a startup biotech or industry setting.
Strong understanding of molecular biology protein engineering and highthroughput research workflows.
Experience managing crossfunctional scientific teams and orchestrating research projects from planning to .
Financial modeling and cost analysis experience with the ability to budget experiments track expenditures and optimize resource allocation.
Excellent supplier and vendor management skills ensuring efficient procurement and costeffective purchasing.
Proficiency in project management tools (Linear Notion etc. and data analysis tools (Python Excel). Experience in using AI tools to automate processes wherever possible.
Ability to work in a fastpaced environment manage multiple projects and drive efficiently.
Familiarity with lab automation highthroughput screening or AIdriven research is a plus.
Application deadline
We are reviewing applicants on a rolling basis.
Required Experience:
IC
Full-Time