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Bioinformatics Scientist III - Senior
Contract: Cambridge, Massachusetts, US span>
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:
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Data Acquisition & Ingestion: Query and retrieve genetic and genomic datasets from external databases and public repositories.
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Genetic/Genomic Data Analysis: Conduct quality control and downstream analysis of high-throughput genetic/genomic data.
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QTL Analysis: Perform quantitative trait loci (QTL) analyses to identify genetic markers associated with complex traits.
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Population Genetics: Analyze population-level genetic variation, structure, and diversity.
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Data Integration: Merge genetic datasets with transcriptomic, proteomic, and other omics data for multi-dimensional analysis.
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Documentation & Reporting: Maintain thorough documentation of methodologies, pipelines, and findings. Prepare reports and presentations for internal and external stakeholders.
Education & Qualifications:
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Minimum Required: Ph.D. in Genetics, Genomics, Computational Biology, Bioinformatics, or a closely related field.
Pay Range:
- $80 - $100 an hr.
Required Skill & Competencies:
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Strong proficiency in genetic/genomic data analysis tools and methodologies.
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Expertise in programming languages such as R, Python, and Bash.
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Hands-on experience with high-performance computing (HPC) environments and Cloud Computing.
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Solid understanding of statistical methods used in genetic data analysis.
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Excellent written and verbal communication skills, with the ability to clearly convey complex data to diverse audiences.
Preferred Qualifications:
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Experience working with real-world human, animal, or plant genetic datasets.
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In-depth knowledge of statistical genetics principles and methodologies.
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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
- Phone
- Rohan Lazarus
- rohan.lazarus@collabera.com
Apply Now
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