Scientific Data Analyst

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.)

now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position.

The Scientific Data Analyst drives the implementation of complex biomedical data modeling projects. They work on a wide variety of highly detailed scientific and medical data projects related to specific customer implementations as well as core product development. Data quality and availability are at the forefront of this position and the scientific data analyst is expected to maintain a high level of diligence and attention to detail.

The position is highly collaborative and requires interfacing with a diverse range of internal and external stakeholders, properly communicating challenges, updates and scope changes on regular intervals.

• Manage data pipeline into the Genospace platform
• Extract data from primary sources reliably
• Transform and harmonize data appropriately based on specific data context
• Monitor and identify issues with data pipeline, including diagnosing, fixing, or escalating issues where needed.
• Work closely with the product development team on the definition, testing, and evaluation of new products and features
• Develop expertise in clinical, genomic or other subject matter as relevant to the building of data registries within the Genospace platform
• Interface with key customers and stakeholders to provide training, gather feedback and ensure success of data deliverables to the end user.
• Participate in regular team meetings and collaborations, supporting the growth of colleagues and knowledge transfer across the organization

Typically, minimum 0-2 years of relevant experience. May have degree or equivalent.

Bachelor’s degree with a focus in a quantitative or life sciences field

• Working knowledge of genomics including tools, technologies, and data resources
• Understanding of data transformation operations such as string operations, numerical scaling, terminology mappings, etc.
• Knowledge of one high level scripting or programming language
• Working knowledge of MS Office (Word, Excel, PowerPoint).
• Solid understanding of the biomedical domain with an emphasis on fields related to precision
• medicine including molecular biology, genetics, cancer biology, medical terminologies and coding systems, biomedical ontologies
• Strong analytical and technical skills with ability to analyze issues, assess technical risks, and recommend sound solutions in a timely manner
• Works independently with…