Bioinformatics Scientist - III (Senior)

The Fountain Group; Cambridge (MA); On-site; USD 131,000 - 146,000; Full time

Job summary

The Fountain Group is seeking a Senior Bioinformatics Scientist for a prominent client. This onsite role in Cambridge, MA focuses on target identification, patient stratification, and biomarker discovery through human genetic data analysis, machine learning, and multi-omics integration.

Requirements include a Ph.D. in a related field and 5+ years of genetic data analysis experience. The contract runs 23 months with a pay rate of $95–106/hr and a Monday–Friday schedule.

Qualifications

• PhD in Genetics, Genomics, Statistical Genetics, Computational Biology, or related field.
• 5+ years of experience in human genetic/genomic data analysis.
• Strong knowledge of statistical genetics including variant analysis, GWAS, QTL mapping, population genetics, and genomic annotations.
• Demonstrated experience applying machine learning to high-dimensional biological data.
• Hands-on experience with multi-omics data integration and HPC/AWS.

Responsibilities

• Analyze and integrate large-scale human genetic, genomic, and multi-omics datasets.
• Perform genetic data QC, variant analysis, annotation, GWAS/PheWAS, QTL analysis, and population genetics.
• Develop and validate machine learning models for variant prediction and patient stratification.
• Integrate genetic data with transcriptomic, proteomic, epigenomic, single-cell, and spatial datasets.
• Work with large external datasets and resources such as UK Biobank, gnomAD, GTEx, ClinVar, and GWAS Catalog.
• Develop reproducible, version-controlled workflows and document analysis methods and results.
• Utilize HPC systems and AWS Cloud Computing to support large-scale analyses.

Skills

Genetic data analysis

Statistical genetics

Machine learning for genomics

Multi-omics integration

Communication & problem-solving

Education

Ph.D. in Genetics/Genomics/Statistical Genetics/Computational Biology

Tools

PLINK

GATK

bcftools

VEP/ANNOVAR

REGENIE/SAIGE

Nextflow/Snakemake

Docker

Singularity

AWS IAM/S3

Job description

We are a national staffing firm currently seeking a Senior Bioinformatics Scientist for a prominent client of ours. Details of the position are as follows.

Job Description

• Pay: $95-106/hr
• Duration: 23 months
• Schedule: Monday-Friday
• Location: Cambridge, MA - Onsite
• Department: Data and Genome Sciences - Precision Genetics
• Experience Level: 5+ years of genetic data analysis experience
• Education: Ph.D. required

This role will support target identification, patient stratification, and biomarker discovery through human genetic data analysis, machine learning, and multi-omics integration.

Responsibilities

• Analyze and integrate large-scale human genetic, genomic, and multi-omics datasets.
• Perform genetic data QC, variant analysis, annotation, GWAS/PheWAS, QTL analysis, and population genetics.
• Develop and validate machine learning models for variant prediction, patient stratification, and biomarker discovery.
• Integrate genetic data with transcriptomic, proteomic, epigenomic, single-cell, and spatial datasets.
• Work with large external datasets and resources such as UK Biobank, gnomAD, GTEx, ClinVar, and GWAS Catalog.
• Develop reproducible, version-controlled workflows and document analysis methods and results.
• Utilize HPC systems and AWS Cloud Computing to support large-scale analyses.

Qualifications

• Ph.D. in Genetics, Genomics, Statistical Genetics, Computational Biology, or a related field.
• 5+ years of experience in human genetic/genomic data analysis.
• Strong knowledge of statistical genetics, including variant analysis, GWAS, QTL mapping, population genetics, and genomic annotations.
• Demonstrated experience applying machine learning to high-dimensional biological data.
• Hands-on experience with multi-omics data integration.
• Proficiency in R, Python, and Bash.
• Experience with HPC systems and AWS Cloud Computing, including IAM and S3.
• Experience with tools such as PLINK, GATK, bcftools, VEP/ANNOVAR, REGENIE, SAIGE, and/or related genomic analysis tools.
• Strong communication, organization, and problem-solving skills.

Preferred

• Experience with large-scale biobank data such as UK Biobank, All of Us, or FinnGen.
• Experience with deep learning for genomics.
• Experience with single-cell or spatial transcriptomics.
• Pharmaceutical/biotechnology experience supporting drug target identification or biomarker discovery.
• Familiarity with Nextflow, Snakemake, Docker, or Singularity.

Please note: This is an onsite position in Cambridge, MA. Remote candidates will not be considered. Candidates must have a Ph.D.; BS/MS candidates will not meet the requirements.