Clinical Bioinformatics Scientist III

Labcorp

23h • $110,000 - $140,000 • Remote

About The Position

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 Clinical Bioinformatics Scientist III to join our growing team! This is a remote US based position. This position does not offer employment visa sponsorship. Position Summary The team as a whole is responsible for the evaluation of the truth of clinically reportable variants and is often required to investigate unique genetic or genomic signals identified in production data. In addition to handling production data, the team is responsible for monitoring data quality metrics and troubleshooting the root cause of quality control failures related to both the mainline Next Generation Sequencing (NGS), Whole Genome Sequencing (WGS), and confirmatory assays. All the 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.

Requirements

• Strong knowledge of genetics
• Experience with NGS data analysis in either an academic or industry environment
• Familiarity with IGV or other genome browsers
• Knowledge of common NGS alignment, variant calling, and visualization tools
• Familiarity and/or hands-on experience with NGS wet lab protocols, preferably in a production setting but academic knowledge may be sufficient
• Excellent written and verbal communication skills
• Bachelor's degree in a biological field (e.g., biology, microbiology, genetics, genomics, bioinformatics, biochemistry, etc.) and four years of relevant professional experience.
• OR Master's Degree in a biological field (e.g., biology, microbiology, genomics, bioinformatics, biochemistry, etc.) and two years of relevant professional experience.

Nice To Haves

• Familiarity with any of the following: Laboratory Information Management Systems (LIMS) Python, R, SQL, or other programming languages git, GitHub, or other version control systems Project management software such as Jira, Asana, Monday, etc.

Responsibilities

• Review and assess the veracity of specific genetic variants (SNVs and CNVs) in NGS or WGS data flagged for manual intervention. This process entails making decisions that will determine if a variant is reported to a patient or not.
• Review results from confirmatory assays that corroborate or refute calls made in the primary assay. This can lead to contradictory results between assays where the scientist will need to make the final decision.
• Troubleshoot quality control anomalies generated by automated pipelines at the sample and/or batch level.
• Triage stuck samples, variants, and reports.
• Support other production duties like requests from other teams, production on-call shifts, and program development.
• Collaborate with other teams such as bioinformatics, automation, engineering, clinical genomics, laboratory scientists, laboratory directors, and research scientists in a cross-functional manner.

Benefits

• Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.
• Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only.
• Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level