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Discover International · New York
Senior Computational Scientist – Statistical Genomics & Inference
New York, NY
Our client is an early-stage, venture-backed genomics company in the healthcare space. They turn sequencing data into answers people can act on. The product is in commercial use, the team is small and highly technical, and the science sits at the center of the business.
The Opportunity
This is the lead computational seat. You’ll own the statistical modelling and inference engine behind the product and set technical direction from day one. AI-assisted coding tools are part of how the team works. For a strong performer, the role grows into leading the computational function and building a team.
What You’ll Do
Develop and apply phylogenetic and phylodynamic models (time-scaled trees, coalescent and birth–death frameworks, ancestral state reconstruction) for microbial genomic data
Build probabilistic methods that infer relationships between samples when data is sparse or incomplete
Lead strain-level analysis of complex, mixed microbial samples
Own and harden the bioinformatics pipelines, from QC through comparative genomics
Mature the AWS environment (infrastructure-as-code, CI/CD, cost control) and support healthcare data-security standards
Turn model outputs into clear, interactive reporting
Publish your methods with the company’s academic and public-sector collaborators
What You Bring
PhD in population genetics, molecular evolution, biostatistics, computational biology, or a related quantitative field
Deep grounding in likelihood and Bayesian inference, MCMC, continuous-time Markov models, coalescent/birth–death processes, and model selection
Machine learning fluency, including simulation-based inference; graph/network models a plus
Experience using agentic/AI coding tools, and the judgment to critically review their output
Must be authorized to work in the US without sponsorship.
Details
| Company | Discover International |
| Location | New York |
| Type | FULL TIME |
| Niche | Full-time |