Nonclinical Data Associate

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

Labcorp is looking for a Data Management Associate for the Madison Labcorp Life Science Facility.

The Nonclinical Data Associate is an entry level position in the global data management solutions group, learning the tasks required of drafting and finalizing nonclinical datasets with supervision.

Job Description:

• Learns appropriate levels and methods of direct contact with clients

• Learns to prepare form letters and communication text

• Shadows experienced data associates and joins other client-facing staff (e.g., study director) to attend client site visits and client conference calls

• Learns to use software tools to efficiently and accurately complete job duties. Software types to include: word processing, spreadsheet, dataset/table generation, collaboration/sharing, and database supportive applications.

• Dataset Preparation

  • (85%) Trains on duties required to complete dataset preparation. Tasks to be learned may include, but are not limited to:

  • Learning how to obtain and review study documents (e.g., protocol, report) to gather information to prepare datasets

  • Learning to generate and quality check (QC) dataset files to ensure compliance with regulatory requirements

  • Learning to address client inquiries on content of study datasets

  • (5%) May learn to compile metadata to populate databases supporting nonclinical safety assessment.

  • (5%) May train on software testing and validation activities. Initial training will include executing test scripts and maintaining documentation in accordance with Systems Life Cycle methodology which complies with General Principles of Software Validation issued by regulatory agencies.

  • (5%) Performs other duties as assigned and may include shadowing or attending company and/or industry initiatives related to dataset specifications and/or production

• This role participates as a member of a global team, with global colleagues and supervisors.

• Communicates with internal and external stakeholders to facilitate projects as assigned.

• Communicates with supervisors, management, and schedulers/project regarding timelines and assignments

• Promotes and strives for quality first approach to work

Summary: The Nonclinical Data Associate role serves as part of a team which generates standardized datasets to be used by clients and regulatory agencies.  Data Associates work independently and ultimately work with minimal supervision.  Datasets generated may be portions or complete datasets in SEND format, or datasets of historical control data.  Ability to learn and comprehend scientific terminology is a part of the role.  Working independently requires individual time management and prioritization with guidance from supervisors.  Due to the nature of the use of the datasets, quality and accuracy are of the utmost importance. Data Associates work with a sense of urgency to meet customer timelines and expectations.

Minimum Education and Experience Required:

• Bachelor’s degree or equivalent experience, preferably in one of the following: life sciences, computer science/information systems, statistics, bioinformatics, or mathematics or similar.

Preferred Qualifications:

• Knowledge or experience using programming applications or formulas such as, but not limited to: SAS, R, Python or willingness to learn within 1st year of employment.

• Preclinical life science experience or exposure

• Basic knowledge of office software (e.g., Microsoft® Office, especially Word and Excel; Adobe® Acrobat®)

• Attention to detail, time management skills, and organizational skills

• Ability to understand or learn scientific and medical terminology and concepts

• Good communication skills

Application Window: July 22nd, 2026

Pay Range: $19.00 - $24.00/hourly

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. 

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. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. For more detailed information, please click 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

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