Bioinformatics Scientist - III (Senior)

Primary Talent Partners; Cambridge (MA); On-site; USD 132,249 - 146,025; Full time

Benefits offered by this job

ACA-compliant supplemental package

Job summary

Primary Talent Partners is seeking a Bioinformatics Scientist - III to join their pharmaceutical client in Cambridge, MA. This 23-month contract role requires candidates to analyze complex disease genetics and manage large-scale datasets.

The ideal candidate will hold a PhD in a quantitative field and possess significant experience in statistical genetics, bioinformatics, and multi-omics data analysis. Strong programming skills are necessary, along with teamwork abilities to collaborate with multidisciplinary teams.

Qualifications

• Minimum of 5 years of postdoctoral or equivalent research experience in complex disease genetics.
• Experience in genome-wide association studies (GWAS) and/or multi-omics analysis.
• Familiarity with reproducible genetic data analysis methods.

Responsibilities

• Perform statistical genetics analyses for target discovery and validation.
• Support implementation and maintenance of analytical pipelines.
• Conduct genetic association analyses using large-scale biobank data.

Skills

Programming in R

Programming in Python

Statistical genetics analysis

Human genetics research

Multi-omics analysis

Education

PhD in statistical genetics or related field

Tools

Cloud-based computing

High-performance computing environments

Job description

Primary Talent Partners has a new contract opening for a Bioinformatics Scientist - III (Senior) to join our pharmaceutical client in Cambridge, MA. This is a 23‑month contract to start with the potential for extensions.

Pay: $96.00 - $106.00/hr; W2 contract, no PTO, no benefits. ACA‑compliant supplemental package available for enrollment. Candidates must be legally authorized to work in the United States and must be able to sit on Primary Talent Partners W2 without sponsorship.

Description

The Complex Disease Genetics (CDG) group within Client’s Data, AI and Genome Sciences (DAGS) Department is seeking a motivated scientist to support our Cambridge-based research initiatives in complex disease genetics. We welcome applications from scientists with a graduate degree (PhD or equivalent) in statistical genetics, genetic epidemiology, computational biology, biostatistics, or a related quantitative field with hands‑on experience analyzing human genetics and multi‑omics data.

Client has invested in external partnerships and collaborative initiatives to accelerate innovation in drug discovery and development. The CDG group leverages large‑scale data resources, such as FinnGen, the Alliance for Genomic Discovery, Our Future Health, UK Biobank Pharma Proteomics Project, Open Targets, and other public and proprietary datasets, to advance Client’s drug development pipeline through human genetics. The candidate will contribute to the analysis of these large‑scale datasets to support target identification and validation and the implementation of precision medicine strategies across therapeutic areas.

In this exciting role, you will:

• Perform statistical genetics analyses for target discovery and validation using human genetics and multi‑omics data
• Support the development, implementation, and maintenance of analytical pipelines for reproducible genetic and genomic data analysis
• Conduct genetic association analyses using large‑scale biobank data (e.g., UK Biobank, FinnGen, Our Future Health, Alliance for Genomic Discovery)
• Integrate and analyze public and proprietary genetic association summary statistics and conduct meta‑analyses
• Perform post‑GWAS analyses to help elucidate causal mechanisms and prioritize gene targets (e.g., fine mapping, colocalization, Mendelian Randomization, TWAS, polygenic risk prediction)
• Assist in integrating genetic association findings with multi‑omics data (e.g., RNA‑seq, ATAC‑seq, QTLs) to support target prioritization
• Stay current with new methods in statistical genetics and participate in evaluating and implementing emerging analytical techniques
• Collaborate with wet‑lab biologists, disease area experts, and data scientists to support research and patient stratification strategies

Required Experience and Skills

• PhD (or equivalent) in statistical genetics, genetic epidemiology, population genetics, computational biology, bioinformatics, biostatistics, epidemiology, or a related quantitative discipline, with a minimum of 5 years of postdoctoral or equivalent research experience in complex disease genetics
• Research experience in human genetics, genomics, or related analysis, including genome‑wide association studies (GWAS) and/or multi‑omics analysis
• Familiarity with analytical pipelines and best practices for reproducibility and scalability in genetic data analysis
• Proficiency in programming languages commonly used in statistical genetics (e.g., R, Python, etc.)
• Experience working with large‑scale datasets in cloud‑based computing and high‑performance computing environments
• Strong communication and interpersonal skills, with the ability to work effectively in multidisciplinary teams

Preferred Experience and Skills

• Experience with molecular phenotypes, such as transcriptomics or proteomics
• Interest or background in cardiovascular/metabolic diseases, immunology, neuroscience, or other complex diseases
• Experience with AI/ML methodology and/or application to genetics and omics analysis

Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at [e-mail]