Bioinformatics Scientist II, Companion Diagnostics- Hybrid

Laboratory Corporation of America Holdings (Covance)

Morrisville, United States of America

Labcorp’s Companion Diagnostic (CDx) development lab in Morrisville, NC is seeking a Bioinformatics Scientist II to support the development of NGS assays for clinical trials and subsequent diagnostic use.  The ideal candidate should have experience designing and implementing new analysis pipelines for NGS assays in a regulated environment, possess strong analytical skills, and be a self-motivated team player.  We are looking for a confident, proactive individual capable of taking the initiative and driving to results!

This position is Hybrid. Your success will be measured by meeting project goals on-time and within budget, meeting client expectations, and contributing to scientific growth of the CDx team.

At Labcorp you will…

  • Assume responsibility for designing, validating, and implementing new NGS analysis pipelines including software lifecycle (SLC) activities when applicable.
  • Provide statistical expertise for development projects. 
  • Work in a fast-paced, high throughput environment to meet client driven timelines.
  • Interact directly with pharma clients and regulatory authorities, including the FDA.
  • Be responsible for revenue generation by bioinformatic client deliverables.
  • Participate in business development activities and presentations to win new business.
  • Support the Quality Management System with good documentation practices and audit internal activities as applicable.  
  • Write SOPs, validation, and analysis reports.

Education

PhD in Bioinformatics, Computational Biology, Biostatistics, Biology, Biochemistry, or related field.

Experience

  • 5+ years of post-degree bioinformatics experience working on NGS assays is required, including but not limited to RNA-Seq, WGS, WES, or targeted panels.
  • Full comfort working in a *nix-based, command line environment.  Bash or other scripting skills is essential.
  • 5+ years of scientific programming using Python and R.
  • Proficiency in statistical analysis methodologies is required.
  • Demonstrated ability to design, code, and validate analysis pipelines is required.
  • Experience with WDL, CWL, or other workflow development languages.
  • Experience with implementing workflows in a cloud environment.
  • Experience with Jira, Git and Oracle Agile PML strongly preferred.
  • Experience in IVD product development, including design control, strongly preferred.

Competencies

  • Able to function in a fast-paced, high throughput environment.
  • Solid organizational skills and independent drive to sustain productivity and meet deadlines.
  • Strong interpersonal and teamwork skills are essential.
  • Ability to prioritize workload to effectively handle several projects at any given time.
  • Quickly and competently train on and perform new and updated analysis methods.
  • Understand and perform specific tasks that need to be completed on a daily basis.
  • Identify and offer suggestions for process improvements.
  • Ability to complete written reports as part of client deliverables.
  • Attention to detail and ability to work under pressure to generate high quality data analysis.

Labcorp is proud to be an Equal Opportunity Employer:

As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply.

For more information about how we collect and store your personal data, please see our Privacy Statement.

Job posted: 2024-06-19

3
订阅