Job Description

Salary: $71,189.6 - 118,643.2 per year Requirements:

• We typically look for 0-2 years of relevant experience, or an equivalent combination of education and experience.
• We require a bachelors degree with a focus in a quantitative or life sciences discipline.
• We value working knowledge of genomics, including associated tools, technologies, and data sources.
• We expect familiarity with data transformation methods such as string manipulation, numerical scaling, and terminology mapping.
• We look for knowledge of at least one high-level scripting or programming language.
• We require working knowledge of Microsoft Office applications, including Word, Excel, and PowerPoint.
• We need a strong understanding of the biomedical field, especially areas related to precision medicine such as molecular biology, genetics, cancer biology, medical terminology and coding systems, and biomedical ontologies.
• We look for strong analytical and technical capabilities, including the ability to evaluate issues, assess technical risk, and recommend timely solutions.
• We value the ability to work independently with general supervision and serve as a resource for less experienced colleagues.
• We expect sound judgment when selecting and adapting methods and techniques to solve problems.
• We need strong interpersonal and communication skills for working in a high-profile, fast-paced environment.
• We look for the ability to learn new assignments, technologies, and applications quickly and manage multiple priorities at once.
• We value technical adaptability and a willingness to learn and adjust to new industry tools and platforms.
• We appreciate an approach that treats change and new situations as opportunities for growth and learning.
• This role is a hybrid position, with at least two on-site days per week at our Las Colinas office.
• Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship now or in the future.

• We manage data pipelines into the Genospace platform.
• We extract data reliably from primary source systems.
• We transform and harmonize data appropriately based on the specific data context.
• We monitor data pipelines and identify issues, including diagnosing, resolving, or escalating problems when needed.
• We partner closely with our product development team to define, test, and evaluate new products and features.
• We build subject matter expertise in clinical, genomic, or other relevant areas to support data registry development within the Genospace platform.
• We work with key customers and stakeholders to provide training, gather feedback, and support successful data delivery to end users.
• We take part in regular team meetings and collaborative efforts, helping strengthen colleagues and share knowledge across the organization.

• Excel
• Support
• LESS

More:

We are McKesson, an impact-driven Fortune 10 company that touches nearly every part of healthcare by delivering insights, products, and services that help make quality care more accessible and affordable. We foster a collaborative culture where people can grow, contribute ideas, and make a meaningful impact. This Scientific Data Analyst role supports complex biomedical data modeling projects across customer implementations and core product development, with a strong emphasis on data quality, attention to detail, and cross-functional collaboration. The position is hybrid, with onsite work at our Las Colinas office at least two days per week and the remaining time remote. We offer a competitive total rewards package, including base pay and potential bonus or long-term incentive opportunities.

last updated 39 week of 2026

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