Onsite Data Scientist – Precision Genomics & Multi-Omics

ApTask Global Workforce; Cambridge (MA); On-site; USD 124,000 - 152,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Sick Pay

Job summary

Aptask Global Workforce is seeking a Data Scientist onsite for a Pharmaceutical Company in Cambridge, MA. The role centers on integrating multi‑omics data, applying machine learning models, and supporting target identification, patient stratification, and biomarker discovery within the Precision Genetics group.

The candidate will perform QC and analysis of genetic data, GWAS/QTL analyses, and develop scalable workflows using R, Python, Bash, and HPC on AWS.

Qualifications

• PhD in Genetics, Genomics, Statistical Genetics, Computational Biology or related field.
• 5+ years of genetic data analysis experience.
• Experience applying ML to high‑dimensional biological data.
• Hands‑on multi‑omics data integration with genetics data.
• Proficiency in R, Python and Bash; reproducible analyses.

Responsibilities

• Data ingestion and harmonization of genetic, genomic and multi‑omics datasets.
• QC and analysis of genetic/genomic data including imputation and variant calling.
• GWAS/PheWAS, QTL mapping, population genetics and Mendelian randomization analyses.
• Develop ML models for variant effect prediction and patient stratification.
• Integrate multi‑omics data and document reproducible workflows.

Skills

R

Python

Bash

Deep learning

Communication skills

Education

Ph.D. in Genetics or related field

Tools

AWS

Nextflow

Snakemake

Docker

Singularity

HPC

Job description

Aptask Global Workforce is seeking a Data Scientist onsite for a Pharmaceutical Company in Cambridge, MA. The role centers on integrating multi‑omics data, applying machine learning models, and supporting target identification, patient stratification, and biomarker discovery within the Precision Genetics group.

The candidate will perform QC and analysis of genetic data, GWAS/QTL analyses, and develop scalable workflows using R, Python, Bash, and HPC on AWS.