Hexagon Bio · 5 days ago
Computational Biologist / Data Scientist
Menlo Park, CA
Full-time
Onsite
Senior Level
$150K/yr - $230K/yrHexagon Bio leverages its proprietary platform to discover new medicines by mining microbial genomes for their therapeutic potential. The company is seeking a Computational Biologist / Data Scientist to analyze large-scale microbial genomic datasets and transform genomic patterns into actionable hypotheses that drive experimental discovery and therapeutic development.
BiotechnologyHealth CareTherapeutics
Responsibilities
Develop and apply computational methods to predict, classify, and prioritize biosynthetic gene clusters from large genomic datasets
Perform comparative genomics and evolutionary analyses across diverse, non-model fungal and bacterial species
Apply evolutionary and phylogenetic frameworks to identify novel biosynthetic potential and guide discovery strategy
Build, maintain, and scale robust Python-based pipelines for genome mining and data analysis
Integrate genomic insights with chemical, biological, and metabolomic data to support compound discovery and annotation
Collaborate cross-functionally to translate computational results into experimentally testable hypotheses and program decisions
Communicate findings clearly through analyses, visualizations, and presentations to multidisciplinary teams
Qualification
Required
PhD in Computational Biology, Genomics, Bioinformatics, or a related field
Demonstrated expertise in biosynthetic gene cluster prediction and natural product genomics
Strong background in genome evolution and evolutionary biology, particularly in non-model organisms
Proficiency in Python for data analysis, pipeline development, and algorithm implementation
Experience developing statistical or computational approaches to extract biological insight from genome-scale data
Preferred
Experience analyzing or interpreting metabolomic data in the context of natural product discovery is a plus
Prior exposure to experimental microbiology, metabolomics, or natural products chemistry is a plus
Experience with cloud computing platforms (e.g., Google Cloud, AWS) is a plus
Experience building production-quality software or scalable analysis pipelines is a plus
Experience applying or developing machine learning methods is a plus, but not required
Benefits
Competitive compensation
Equity
Comprehensive benefits
Support for attending scientific conferences and external collaborations
Access to Menlo Park Labs amenities, including shuttle service, gym, climbing wall, pool, sports courts, café, bike storage, and EV charging
Team-building events such as Hexagon Happy Hours and company celebrations
Company
Hexagon Bio
Hexagon Bio is a data-driven biotech company developing targeted small molecule therapeutics.
Founded in 2016
51-200 employees
H1B Sponsorship
Hexagon Bio has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$193.6MKey Investors
Nextech InvestThe Column Group8VC
2022-10-11Series B· $77.3M
2021-09-22Series Unknown· $61M
2020-09-15Series A· $47M
Leadership Team
Maureen Hillenmeyer
Founder and CEO
Recent News
2025-12-19
2025-12-16
2025-12-16
Company data provided by crunchbase