Nonclinical Data Associate

Labcorp•Ashwaubenon, WI

1d•$19 - $24•Onsite

About The Position

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. 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.

Requirements

Bachelor’s degree or equivalent experience, preferably in one of the following: life sciences, computer science/information systems, statistics, bioinformatics, or mathematics or similar.
Attention to detail, time management skills, and organizational skills
Ability to understand or learn scientific and medical terminology and concepts
Good communication skills

Nice To Haves

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®)

Responsibilities

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.
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
May learn to compile metadata to populate databases supporting nonclinical safety assessment.
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.
Performs other duties as assigned and may include shadowing or attending company and/or industry initiatives related to dataset specifications and/or production
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