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Labcorp · 11 hours ago

Lead R&D Data Scientist

United States

Full-time

Remote

Senior Level, Lead/Staff

$100K/yr - $155K/yr

5+ years exp

Labcorp Genetics is dedicated to integrating comprehensive genetic information into mainstream medicine to enhance healthcare. They are seeking a Lead R&D Data Scientist to lead the translation of complex biological questions into actionable analysis, develop data pipelines, and conduct rigorous data analysis to improve diagnosis and treatment options.

BiotechnologyHealth CareHospitalLife ScienceMedicalPrecision Medicine

No H1B

Responsibilities

Lead and deliver the translation of complex biological and clinical questions into actionable analysis plans

Architect and implement robust data pipelines that integrate large-scale genomic, phenotypic, laboratory, and real-world clinical datasets

Conduct repeatable data analysis and modeling with a high degree of scientific and statistical rigor, for complex tasks such as understanding patient trajectories, elucidating variant effect, and identifying genotype-phenotype associations

Write clean, maintainable, and well-documented code following best practices for version control, testing, and scalability

Prepare technical reports, peer-reviewed publications, and conference presentations to share research outcomes with internal stakeholders and the broader scientific community

Collaborate closely with both internal and external stakeholders to drive impactful research and development initiatives

Ensure high standards of data privacy, security, and compliance are maintained in all projects

Qualification

Data ScienceStatistical MethodsPythonSQLETLBig Data TechnologiesMachine LearningData PrivacyCommunicationCollaboration

Required

Masters degree, or equivalent industry experience in Computer Science, Statistics, Data Science, Computational Biology, or a related field

5+ years of hands-on experience in data science and statistical methods, as applied to large biomedical datasets

Experience working within a collaborative technical team with strong software engineering practices

Proficiency in modern programming languages (Python and SQL), shell scripting, and version control (Git)

Experience with data management, ETL, and business intelligence tools

Excellent communication skills for presenting research findings to diverse audiences

Preferred

Ph.D

Experience with big data technologies (Snowflake, Databricks, etc.) and visualization/dashboarding (Looker, Dash, etc.)

Experience with high performance computing (SGE etc.)

Experience in the development and validation of complex computational models for biological data, in particular machine learning and bioinformatics techniques

Understanding of data privacy, security, and ethical considerations in clinical and biological research

Previous published work in genetics, functional genomics, or clinical research