Labcorp is looking to improve healthcare for billions of people by bringing comprehensive genetic information into mainstream medicine, and the Senior Clinical Operations Data Scientist role is intended to support this goal by providing actionable insights to drive business decisions and optimize clinical operations.
Requirements
- Strong software engineering foundation with extensive experience in programming (e.g. Python, Java), version control, cloud-native databases (e.g. Postgres, Datomic, Snowflake, Redshift), and APIs
- Extensive experience developing within cloud-based business intelligence tools (e.g. Looker, Tableau), and cloud computing infrastructure (e.g. AWS)
- Applied proficiency in data science techniques including statistical process control, anomaly detection, predictive analytics, and machine learning on laboratory and clinical data
- Experience with production lab environments, NGS genomics data, and bioinformatics analytical pipelines
- Strong understanding of data privacy, security, and ethical issues in a regulated industry
- Hands-on experience with modern ETL/ELT tools (e.g. DBT, Glue, Databricks)
- Experience with cloud-based databases and APIs
Responsibilities
- Design and implement scalable data models and architectures for efficient data storage, retrieval, and analysis
- Design and develop business intelligence platforms for continuous performance monitoring
- Lead the development of early detection of trend shifts, anomaly detection systems; diagnose their causes
- Lead high-impact data science projects in high-throughput genomics, translating business requirements into technical specifications and innovative solutions
- Ensure high standards of data privacy, security, and compliance are maintained in all projects
- Provide governance of enterprise data, best practices across teams
- Mentor scientists and engineers in areas of your expertise, fostering skill growth and knowledge sharing
Other
- Minimum of a master’s degree with 8 years of relevant experience in data science, bioinformatics, computational biology, or a related field, with a proven track record of leading complex research and development projects
- Ph.D. preferred in Data Science, Bioinformatics, Engineering, or a related field
- Proven ability to collaborate with cross-functional teams, including scientists, clinicians, engineers, and business analysts
- Proven ability to communicate technical problems, analytical methodologies, and analysis findings clearly and concisely
- Ability to work in a remote US based position
