R&D Scientist III, Algorithm Developer

Posted Yesterday
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Hiring Remotely in United States
Remote
Mid level
Biotech
The Role
Develop, validate, and document computational algorithms and end-to-end NGS analysis pipelines. Analyze sequencing performance metrics, support NGS panel design and assay development, collaborate with assay development and quality teams, and produce technical reports for internal and regulatory use.
Summary Generated by Built In

Position Summary 

This position requires thorough documentation of analytical methods, validation studies, and pipeline updates in technical reports, supporting both internal development and regulatory needs. The R&D Scientist will work collaboratively with cross functional teams, including assay development, bioinformatics, and quality groups.  

Candidates should hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field, or an M.S. with 3+ years of relevant experience. Required expertise includes hands on experience with NGS data analysis, particularly sequencing performance metrics, as well as strong programming skills in Python and/or R. 

Key Responsibilities 

  • Perform in-depth analytical analysis of NGS sequencing data to evaluate sequencing performance metrics and support assay development  
  • Validate and verify computational algorithms used within NGS analysis pipelines  
  • Support NGS panel design activities, including analytical assessment and quality considerations  
  • Conduct end-to-end validation of NGS analysis pipelines to ensure accuracy, reproducibility, and robustness  
  • Support quality assurance efforts through data review, troubleshooting, and performance monitoring  
  • Document analytical methods, validation studies, and pipeline updates in clear, well-structured technical reports  
  • Collaborate with cross functional teams, including assay development, bioinformatics, and quality, to support R&D objective 

 

Required Qualifications 

  • Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field; or M.S. with 3+ years of relevant experience  
  • Handson experience with NGS data analysis, including evaluation of sequencing performance metrics and assay quality  
  • Experience validating computational algorithms or bioinformatics analysis pipelines  
  • Proficiency in Python and/or R for data analysis and pipeline development  
  • Strong analytical, documentation, and collaboration skills within a cross functional R&D environment 

Preferred Qualifications 

  • Knowledge of clinical genomics applications, including NIPT or cancer genomics  
  • Experience or familiarity with pharmacogenomics (PGx) and complex variant analysis  
  • Exposure to rare disease genomics and germline variant analysis 
Qualifications Education Required PHD or better. Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Skills Required

  • Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or M.S. with 3+ years relevant experience
  • Hands-on experience with NGS data analysis, including evaluation of sequencing performance metrics and assay quality
  • Experience validating computational algorithms or bioinformatics analysis pipelines
  • Proficiency in Python and/or R for data analysis and pipeline development
  • Strong analytical, documentation, and collaboration skills in a cross-functional R&D environment
  • Knowledge of clinical genomics applications, including NIPT or cancer genomics
  • Experience or familiarity with pharmacogenomics (PGx) and complex variant analysis
  • Exposure to rare disease genomics and germline variant analysis
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The Company
HQ: Houston, TX
202 Employees
Year Founded: 1978

What We Do

Baylor Genetics is a joint venture of H.U. Group Holdings, Inc. and Baylor College of Medicine, including the #1 NIH-funded Department of Molecular and Human Genetics. Located in Houston’s Texas Medical Center, Baylor Genetics serves clients in 50 states and 16 countries.

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