Vice President/Senior Vice President, Genomics & Data Science
- Market p25–p75
- $183k–$266k
- Opened · 30d
- +0
- Closed · 30d
- −0
- Opened · 7d
- +185% of open
- All analytics / data science
- 7,740open
About Stoke
Stoke Therapeutics (Nasdaq: STOK), is a biotechnology company dedicated to restoring protein expression by harnessing the body’s potential with RNA medicine. Using Stoke’s proprietary TANGO (Targeted Augmentation of Nuclear Gene Output) approach, Stoke is developing antisense oligonucleotides (ASOs) to selectively restore naturally-occurring protein levels. Stoke’s first medicine in development, zorevunersen, has demonstrated the potential for disease modification in patients with Dravet syndrome and is currently being evaluated in a Phase 3 study. Stoke’s initial focus are diseases of the central nervous system and the eye that are caused by a loss of ~50% of normal protein levels (haploinsufficiency). Proof of concept has been demonstrated in other organs, tissues, and systems, supporting broad potential for Stoke’s proprietary approach. Stoke is headquartered in Bedford, Massachusetts. For more information, visit https://www.stoketherapeutics.com/
Position Purpose
The VP/SVP, Genomics & Data Science, will serve as a key scientific and strategic leader responsible for integrated Computational, Genomics, and Data systems, Therapeutic Design, and essential support of Discovery, Translational Development, and Technology Innovation. This leader will also oversee the establishment and stewardship of cohesive scientific computation, molecular & genomic data generation, and high-dimensional data interpretation and representation across the R&D organization. Reporting to the Chief Scientific Officer, this executive will grow a high-impact, multi-disciplinary team advancing therapeutic understanding, and partner across the organization to drive therapeutic development and translation, as well as pursue novel and differentiated technologies and scientific opportunities. The ideal candidate will possess exceptional communication skills, and a proven ability to operate effectively within a complex matrix organization.
Key Responsibilities
- Provide strategic and technical leadership across scientific computation, molecular & genomic functions, and therapeutic design, including organizational management and cross-functional engagement
- Mentor and grow high-performing, technical and scientific team, with an enterprise perspective to data generation and interpretation, collaboration, and efficient execution on priorities
- Champion and oversee scientific computation/AI innovation, including multi-dimensional analytics, data representation & visualization, target insights, integration of genetics and internal/external data, and fit-for-purpose systems
- Lead therapeutic design, including exploration of next-generation approaches
- Establish and drive targeted genomics and molecular assays, including high-throughput approaches, model systems, and biomarker strategies to support development programs at all stages
- Proactively identify external opportunities and collaborations to augment core capabilities
- Champion and represent computational and molecular technologies and capabilities to key internal and external stakeholders, including senior management, board and SAB, through presentation, and publication.
Required Skills & Experience
- Minimum 12 years of progressing experience leading quantitatively focused and multidisciplinary teams in the pharmaceutical, biotechnology, or life sciences industry
- Proven track record building and leading high-performing integrated teams, developing talent, and balancing enterprise priorities across efficiency, risk, and innovation
- Extensive experience in computational sciences, bioinformatics, genomic technologies, and related fields – ideally in the context of genetic medicines and therapeutic development
- Ph.D. or equivalent in Computer Science, Genomics, Molecular Biology, or other related quantitative fields
- Proven track record of innovation, strategic thinking, strong problem-solving skills, cross-functional collaboration, data-driven decision making, and organizational skills
- Ability to build and sustain an inclusive, collaborative culture that supports innovation and continuous improvement