Lead R&D Data Scientist

Lab; Pennsylvania; Remote; USD 100,000 - 155,000; Full time

Job summary

A leading genetics company is seeking a Lead R&D Data Scientist to drive impactful research initiatives remotely. You will lead the integration of large-scale genomic datasets, presenting findings to diverse audiences. Ideal candidates hold a Ph.D. and have over 5 years of data science experience. This role offers a competitive salary range of $100,000 - $155,000, along with comprehensive benefits and the potential for annual bonuses.

Benefits

Medical, Dental, Vision Insurance

401(k) Plan

Tuition Reimbursement

Employee Stock Purchase Plan

Qualifications

• Ph.D., or equivalent industry experience in Computer Science, Statistics, Data Science, or a related field.
• 5+ years of hands-on experience in data science and statistical methods with large biomedical datasets.
• Strong software engineering practices and collaboration.

Responsibilities

• Lead translation of biological questions into actionable analysis plans.
• Architect and implement robust data pipelines.
• Prepare technical reports and publications.

Skills

Data science and statistical methods

Collaboration in technical teams

Communication skills

Proficiency in Python and SQL

Education

Ph.D. or equivalent experience

Tools

Git

Snowflake

Databricks

Looker

Dash

Job description

Overview

Lead R&D Data Scientist

Location: Remote, United States

Labcorp Genetics (formerly Invitae) 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 genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life.

The genomics insights team leverages clinical genomic expertise, 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 broadly disseminated to improve testing guidelines, optimize reimbursement rates, and educate the healthcare ecosystem. We are seeking a Lead R&D Data Scientist to join our team and contribute to these initiatives.

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.
• 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.

Minimum Qualifications

• Ph.D., 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.
• Understanding of data privacy, security, and ethical considerations in clinical and biological research.
• Excellent communication skills for presenting research findings to diverse audiences.

Preferred Qualifications

• 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.
• Track record of impactful publications and presentations.
• Previous published work in genetics, functional genomics, or clinical research.

Additional Details

This position is not eligible for visa sponsorship.

Application window closes: 10/24/2025

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.

Equal Opportunity

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.

Accessibility

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