Lead Computational Genomics Scientist - Inference

Discover International; New York (NY); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

AWS credit

Professional development

Job summary

Discover International in New York invites applications for a Senior Computational Scientist in Statistical Genomics & Inference. You will own the statistical modelling and inference engine behind the product, setting technical direction from day one and collaborating with academic and public-sector partners.

You will lead phylogenetic modelling, build probabilistic methods for sparse data, and oversee bioinformatics pipelines from QC to comparative genomics, while maturing AWS infrastructure

Qualifications

• PhD or equivalent in population genetics, biostatistics, or computational biology.
• Strong grounding in likelihood and Bayesian methods; ML fluency.
• Experience with phylogenetics tools and workflow systems.
• Ability to design inference algorithms for sparse data.

Responsibilities

• Develop and apply phylogenetic and phylodynamic models 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.

Skills

Bayesian inference

Likelihood inference

Machine learning

MCMC methods

Population genetics

Education

PhD in population genetics / computational biology

Tools

BEAST

IQ-TREE

Nextflow

Terraform

AWS

Linux

Git

Job description

Discover International in New York invites applications for a Senior Computational Scientist in Statistical Genomics & Inference. You will own the statistical modelling and inference engine behind the product, setting technical direction from day one and collaborating with academic and public-sector partners.

You will lead phylogenetic modelling, build probabilistic methods for sparse data, and oversee bioinformatics pipelines from QC to comparative genomics, while maturing AWS infrastructure