Company Description
Algen is a precision medicine company harnessing the power of CRISPR and functional genomics to transform drug discovery and development. A spin-out from the laboratory of Nobel Laureate Professor Jennifer Doudna, Algen was founded at the forefront of gene-editing innovation. We combine cutting-edge CRISPR technologies with advanced computational approaches to systematically modulate disease biology at scale and accelerate the path to effective treatments. Join us in redefining what's possible in drug discovery.
Job Description
We are seeking an experienced Program Manager to lead complex, multidisciplinary initiatives at the intersection of computational biology, translational science, and technology development. The ideal candidate combines deep technical understanding with strong operational and partnership-building skills.
Key Responsibilities Include
Program & Portfolio Management
- Coordinate multidisciplinary teams in the planning, execution, and commercialization of initiatives that bridge scientific discovery and translational application, ensuring alignment with defined use cases
- Lead and coordinate cross-functional project planning focused on translational biology, driving adoption across academic, clinical, and commercial settings
- Develop comprehensive project roadmaps including timelines, resource allocation, risk assessments, and budgets
- Track and report impact metrics such as publications, platform performance, adoption rates, and overall influence across research and industry ecosystems
Computational Biology (Hands-On)
- Perform and/or oversee analysis of multi-omics datasets using existing tools or platforms
- Collaborate with wet lab teams to design experiments informed by computational findings
- Assess external datasets, platforms, and partners based on functionality, usability, and fit for intended use cases
Qualifications & Requirements
- Bachelor’s degree in biostatistics, computational biology, or a related technical field; Master’s or PhD preferred
- 7+ years managing complex technical programs, with a track record of scaling scientific technologies from early research to operational deployment—preferably within NGS or translational biology
- Good understanding in computational tools, statistics, and AI models, with practical insight into translational science challenges
Preferred
- Experience working with single-cell RNAseq and/or high-throughput screening data
- Experience scaling platform prototypes to deployable products
- Proven track record in coordinating partnerships or consortia that span academic institutions, biotech, and/or commercial organizations
- Experience at a leading AI-first biotech company
