What are the responsibilities and job description for the Data Scientist - Remote position at Labcorp?
Laboratory Corporation of America Holdings (NYSE:LH), an S&P 500 company is a leading life sciences company, providing comprehensive clinical laboratory and end-to-end drug development services. With a mission to improve health and improve lives, LabCorp delivers world-class diagnostics solutions, brings innovative medicines to patients faster and uses technology to provide better care. With net revenue in excess of $10 billion, LabCorp's 61,000 employees serve clients in 60 countries.
Labcorp is seeking a Data Scientist (remote opportunity) to join our clinical laboratory cancer testing team. This position offers cutting-edge next generation sequencing (NGS) with a growing product portfolio. The Data Scientist will be part of a team responsible for a broad range of laboratory clinical and R&D based data science activities. The right candidate will gain niche experience in the field of precision oncology and make a lasting impact on the life of every patient.
Job Responsibilities
The Data Scientist will work with a group of highly driven bioinformaticians, programmers, data engineers, software engineers, and analysts focused on using high-throughput, high-dimensional data to further develop comprehensive molecular diagnostics tests.
- Conduct research using existing and novel statistical methods, software tools and databases for
integrative analysis of genomic, transcriptomic, and clinical data with clinicians, pharmaceutical
partners, and academic collaborators.
- Develop and implement retrospective data management plans (flow diagrams, timelines, critical
variable list, data dictionary) and procedures including (collection, organization, coding and
analytical databases).
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Act as point of contact for data requests and delivery.
- Support development and documentation of data cleaning/transformation procedures, study
feasibility, and statistical analysis plans.
- Provide cross functional analyses support across the organization to achieve organization goals of health technology assessments, health economic studies, reports, peer-reviewed publications, meeting abstracts/presentations, and other milestones.
