Lead R&D Data Scientist
Lead R&D Data Scientist
Location: Remote, United States
LabcorpGenetics (formerlyInvitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the geneticsindustry,by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life.
The genomics insights teamleveragesclinical genomicexpertise, our massive genetics, laboratory and linked public/private datasets, and the latest AI/ML technologies to improve diagnosis, clinical care, and treatment options. We design and develop robust, quantitative, and scalable systems for variant interpretation and disease insights. Our research findings are broadlydisseminatedto improve testing guidelines,optimizereimbursement rates, and educate the healthcare ecosystem. We are seeking a Lead R&D Data Scientist to join our team and contribute to these initiatives.
Duties and 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 varianteffect, andidentifyinggenotype-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.
Ensurehigh standardsof data privacy, security, and compliance aremaintainedin all projects.
Qualifications:
Mastersdegree, or equivalent industry experience in Computer Science, Statistics, Data Science, Computational Biology, ora relatedfield.
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.
Proficiencyin 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 Qualifications:
Ph.D
Experience with big data technologies (Snowflake, Databricks, etc.) and visualization/dashboarding (Looker, Dash, etc.).
Experience with high performance computing (SGEetc.).
Experience in the development and validation of complex computational models for biological data, in particular machine learning and bioinformatics techniques.
Understanding ofdata privacy, security, and ethical considerations in clinical and biological research.
Previouspublished work in genetics, functional genomics, or clinical research.
This position is not eligible for visa sponsorship.
Application window closes: 02/14/2026
Pay Range: $100,000.00 - $155,000.00 a year
Schedule/Shift: M-F, 8-5 EST
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. Compensation may also include discretionary short- and long-term incentive packages.
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, pleaseclick here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.
About the job
Apply for this position
Lead R&D Data Scientist
Lead R&D Data Scientist
Location: Remote, United States
LabcorpGenetics (formerlyInvitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the geneticsindustry,by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life.
The genomics insights teamleveragesclinical genomicexpertise, our massive genetics, laboratory and linked public/private datasets, and the latest AI/ML technologies to improve diagnosis, clinical care, and treatment options. We design and develop robust, quantitative, and scalable systems for variant interpretation and disease insights. Our research findings are broadlydisseminatedto improve testing guidelines,optimizereimbursement rates, and educate the healthcare ecosystem. We are seeking a Lead R&D Data Scientist to join our team and contribute to these initiatives.
Duties and 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 varianteffect, andidentifyinggenotype-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.
Ensurehigh standardsof data privacy, security, and compliance aremaintainedin all projects.
Qualifications:
Mastersdegree, or equivalent industry experience in Computer Science, Statistics, Data Science, Computational Biology, ora relatedfield.
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.
Proficiencyin 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 Qualifications:
Ph.D
Experience with big data technologies (Snowflake, Databricks, etc.) and visualization/dashboarding (Looker, Dash, etc.).
Experience with high performance computing (SGEetc.).
Experience in the development and validation of complex computational models for biological data, in particular machine learning and bioinformatics techniques.
Understanding ofdata privacy, security, and ethical considerations in clinical and biological research.
Previouspublished work in genetics, functional genomics, or clinical research.
This position is not eligible for visa sponsorship.
Application window closes: 02/14/2026
Pay Range: $100,000.00 - $155,000.00 a year
Schedule/Shift: M-F, 8-5 EST
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. Compensation may also include discretionary short- and long-term incentive packages.
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, pleaseclick here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.