Senior Clinical Bioinformatics Scientist

Imagine being involved with innovation that changes the course of our industry daily!  Labcorp is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. 

We have an excellent career opportunity for a Senior Clinical Bioinformatics Scientist to join our growing team! This team’s work directly impacts patient results, making problem-solving both motivating and rewarding and making quality and data integrity the most important aspects of the role.  

This is a US remote based position.

This position does not offer employment visa sponsorship.

Position Summary

The Senior Clinical Bioinformatics Scientist is an individual contributor role with primary responsibility to lead the optimization of bioinformatics pipelines and clinical informatics operational processes to ensure exceptional clinical quality at scale.  

This job is a hybrid role between operations and development:

• The developer will be guided by the team’s operational needs and will implement lasting solutions to the bottlenecks and challenges the team faces. They will have a deep understanding and hands-on experience of clinical genetic data—including challenging regions with high homology, pseudogenes, and/or short tandem repeats—as well as extensive experience in pipeline and algorithm development and bioinformatics analyses.

• When not improving bioinformatic workflows via programming, policy, and instrumentation, they will manually review and analyze live patient data corresponding to Next Generation Sequencing (NGS) or Whole Genome Sequencing (WGS) data and their confirmatory assays. Moreover, they will support future company-wide program development, making sure that the operational requirements are included.  

You will be joining a team whose responsibilities include the evaluation of truth for clinically reportable variants, including deep, and sometimes manual, investigation into unique genetic or genomic signals identified in production data. Team responsibilities also include monitoring data quality metrics and troubleshooting the root cause of quality control failures related to the mainline NGS, WGS, and confirmatory assays. In addition, the team is heavily involved in program development, tech transfer, technical improvements to production bioinformatic workflows, and creating new tools to increase production efficiency to reduce intervention rates and turnaround time (TAT).  

Qualifications:

• Strong knowledge of genetics 

• Experience with NGS data analysis 

• Experience with challenging genes, e.g., short tandem repeat (STR) regions or genes with high homology or pseudogenes 

• Proficiency with IGV or other genome browsers 

• Knowledge of common NGS alignment, variant calling, and visualization tools 

• High proficiency in Python, SQL, and Jupyter 

• Experience with Docker and Nextflow 

• Excellent written and verbal communication skills 

• Familiarity with any of the following: 

• Laboratory Information Management Systems (LIMS) 

• Experience with NGS wet lab protocols, preferably in a production setting 

• git, or other version control systems 

• Project management software such as Jira, Asana, Monday. 

Preferred Qualifications:

• Exceptional curiosity and eagerness to learn and explore new ideas and solutions. 

• Thorough understanding and attention to detail in all aspects of work and projects. 

• Comprehensive approach to problem-solving, ensuring all relevant factors and impacts are considered. 

• Meticulous in execution, with a strong focus on accuracy and quality in deliverables. 

• Substantial understanding of regulatory requirements in bioinformatics 

• Track record of identifying principled, robust, high-quality solutions to open-ended problems 

• Experience leading technical teams across scientific and engineering domains 

• Expert in design standards 

Education/Experience

• Master's degree with 6 years of experience in Bioinformatics or related discipline, OR PhD with 3 years experience, OR Bachelor's degree with 9 yea