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Bioinformatics Scientist III - Senior

Contract: Cambridge, Massachusetts, US

Salary Range: 80.00 - 100.00 | Per Hour

Job Code: 362305

End Date: 2025-06-26

Days Left: 20 days, 19 hours left

About the Role:

We are seeking a highly skilled and experienced Genetic Data Analyst to join our team. In this role, you will be responsible for performing in-depth analysis of genetic and genomic data, ensuring data quality, conducting QTL and population genetics analyses, and integrating genetic datasets with other omics data. This position requires a deep understanding of genetics, bioinformatics, and computational tools. The ideal candidate will have a Ph.D. in Genetics, Genomics, Computational Biology, or a related field, along with over 5 years of hands-on experience in genetic data analysis.

Key Responsibilities:

  • Data Acquisition & Ingestion: Query and retrieve genetic and genomic datasets from external databases and public repositories.

  • Genetic/Genomic Data Analysis: Conduct quality control and downstream analysis of high-throughput genetic/genomic data.

  • QTL Analysis: Perform quantitative trait loci (QTL) analyses to identify genetic markers associated with complex traits.

  • Population Genetics: Analyze population-level genetic variation, structure, and diversity.

  • Data Integration: Merge genetic datasets with transcriptomic, proteomic, and other omics data for multi-dimensional analysis.

  • Documentation & Reporting: Maintain thorough documentation of methodologies, pipelines, and findings. Prepare reports and presentations for internal and external stakeholders.

Education & Qualifications:

  • Minimum Required: Ph.D. in Genetics, Genomics, Computational Biology, Bioinformatics, or a closely related field.

Pay Range:

  • $80 - $100 an hr.

Required Skill & Competencies:

  • Strong proficiency in genetic/genomic data analysis tools and methodologies.

  • Expertise in programming languages such as R, Python, and Bash.

  • Hands-on experience with high-performance computing (HPC) environments and Cloud Computing.

  • Solid understanding of statistical methods used in genetic data analysis.

  • Excellent written and verbal communication skills, with the ability to clearly convey complex data to diverse audiences.

Preferred Qualifications:

  • Experience working with real-world human, animal, or plant genetic datasets.

  • In-depth knowledge of statistical genetics principles and methodologies.

  • Practical experience or strong interest in Artificial Intelligence (AI) and Machine Learning (ML) applications in genetics.

Job Requirement
  • Bioinformatics
  • Artificial Intelligence
  • AI
  • high-performance computing
  • HPC
  • genetic data analysis
  • Genetics
  • Genomics
  • Computational Biology
  • Genomic Data Analysis
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Rohan Lazarus
  • rohan.lazarus@collabera.com
Apply Now
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