Labcorp is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our Invitae team, now part of Labcorp, is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life.
We have an excellent career opportunity for a Senior Clinical Operations Data Scientist with strong engineering instincts to join our growing team. This is a remote US based position.
If you are an expert in data engineering, analytics, and providing actionable insights to drive business decisions, this is an ideal position for you!

POSITION SUMMARY

This role is ideal for a data scientist with deep engineering experience who thrives in building scalable data infrastructure, advanced analytics platforms, and statistical models to monitor and optimize clinical operations. You will work cross-functionally to deliver actionable insights that drive exceptional quality, turnaround time, and efficiency in healthcare diagnostics and laboratory workflows.

QUALIFICATIONS:

• 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. Hands-on experience with modern ETL/ELT tools (e.g. DBT, Glue, Databricks)
• 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
• 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

EDUCATION

• 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.
  Application window open through: 09/10/2025
  Pay Range: $150,000 - $200,000 annual salary (USD)
  All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
  The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers..
  Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here.

• 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
• Collaborate closely with both internal and external stakeholders to drive impactful development and operational initiatives.