Labcorp REMOTE - Data Scientist in Buffalo, New York
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.
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 forintegrative analysis of genomic, transcriptomic, and clinical data with clinicians, pharmaceuticalpartners, and academic collaborators.
Develop and implement retrospective data management plans (flow diagrams, timelines, criticalvariable list, data dictionary) and procedures including (collection, organization, coding andanalytical 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, studyfeasibility, 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.
2+ years of experience manipulating data sets and building statistical models
Master's in biostatistics, mathematics, computer science, data science, bioinformatics, computational biology, genetics, epidemiology or similar field required
Strong problem-solving skills with an emphasis on product development.
Study design, statistical analysis skills and proficiency with one or more statistical applications (SAS, Stata, R) required.
Experience managing and analyzing oncology endpoint/outcome data.
Experience processing clinical genomic data such as microarray NGS required, NGS data analysis highly preferred.
Knowledge of human immune system and cancer biology required, direct experience in cancer research, including a working understanding of computational approaches for cancer genome and transcriptome analysis, preferred.
Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Team oriented with excellent written and verbal communication skills.
Ability to work in a fast-paced, dynamic, and results-oriented environment.
While performing the duties of this job, the "Data Scientist" is frequently required use hands or fingers to manipulate, touch or handle and talk or hear. The incumbent is regularly required to sit. He/she is occasionally required to stand and reach with hands or arms. The incumbent is occasionally required to lift and/or move up to twenty-five (25) pounds. Specific vision abilities required by this job include close vision. The physical demands described here are not job requirements but are representative of those demands that are typically expected of employees to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to successfully perform the essential functions.
Standard business hours with occasional after hour work required.
As an EOE/AA employer, the organization will not discriminate in its employment practices due to an applicant's race, color, religion, sex, national origin, sexual orientation, gender identity, disability or veteran status.