Scientific Data Analyst I

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 tomorrows 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.

Key Responsibilities

• 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

Minimum Requirement

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

Education

Bachelors degree with a focus in a quantitative or life sciences field

Critical Skills

• 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 general supervision and act as a resource for colleagues with less experience.
• Exercises judgment in selecting and adapting methods and techniques for obtaining solutions
• Possesses interpersonal skills to work in a high profile and fast paced team.
• Interpersonal communication and technical skills
• Adeptness to learn new assignments technologies and applications quickly and manage multiple assignments simultaneously.
• Able to accommodate varying work week dependent on workload and project deliverables
• Technical aptitude to learn and adapt to new industry applications and tools
• Treat change and new situations as opportunities for learning or growth

Working Conditions

Environment (Office warehouse etc.)

• Remote

Physical Requirements (Lifting standing etc.)

• General office demands

This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

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