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Bioinformatics Scientist - III (Senior)

Johnson Service Group

Cambridge, MA

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JOB DETAILS
SALARY
SKILLS
Alliance/Partner Management, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Bash Scripting, Best Practices, Bioinformatics, Biology, Biostatistics, Biotech and Pharmaceutical, CDMA Development Group, Cardiovascular Disease, Cloud Computing, Communication Skills, Computer Systems, Cross-Functional, Data Analysis, Data Science, Data Sets, Disease, Drug Development, Drug Discovery, Epidemiology, Establish Priorities, Genetic Diseases, Genetics, Genomics, Immunology, Interpersonal Skills, Medicine, Metabolic Disorders, Neuroscience, Programming Languages, Proteomics, Python Programming/Scripting Language, R Programming Language, Risk, Sales Pipeline, Scientific Research, Statistics, Team Player
LOCATION
Cambridge, MA
POSTED
Today
Bioinformatics Scientist III - Complex Disease Genetics
Cambridge, MA
Pay Rate: $90 – 106/hr W2
Must Be Able To Work Fully Onsite

Key Skills:
  • Required expertise with multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq.
  • Transcriptomics analysis.
  • Proficiency in R and Bash.
  • High-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).

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 year 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 could-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

Responsibilities:
The Complex Disease Genetics (CDG) group within Merck’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.
Merck 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 Merck’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

This 24+ Month Contract Assignment Has A Tentative Start Date of July 20th 2026

JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

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About the Company

J

Johnson Service Group

At JSG, We Understand People

It is our mission to empower people, help our clients reach their goals, and hire motivated individuals.

Since our start in 1984, we’ve worked hard to establish our present position as the most effective cross-industry staffing and consulting solution available.

Headquartered in Chicago, IL with local offices throughout the United States and Canada, JSG proudly serves a diverse range of industries with the right solutions to help clients reach their company goals. Our client-centric approach enables us to create personalized solutions for businesses in need of top-tier talent.  Our dedication doesn’t stop at our clients. We strive to connect candidates with opportunities that match their skills and goals. More than just a go-between, we are a dependable bridge, uniting top talent with suitable opportunities, facilitating shared opportunities and growth.

COMPANY SIZE
1,000 to 1,499 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
1984
WEBSITE
https://www.jsginc.com/

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