Scientific Data Analyst I

McKesson Corporation; Irving (TX); Hybrid; USD 47,000 - 79,000; Full time

Job summary

McKesson Corporation is seeking a Scientific Data Analyst to drive complex biomedical data modeling projects, ensuring data quality and availability across customer implementations and core product development.

The role involves collaborating with internal and external stakeholders, enhancing data registries, and contributing to multiple projects with an emphasis on precision medicine and genomics. Hybrid onsite work in Las Colinas, TX is expected.

Qualifications

• Bachelor's degree in a quantitative or life sciences field required.
• Proficiency in genomics tools, data resources, and data transformation operations.
• Experience with at least one high-level scripting language and MS Office.

Responsibilities

• Manage data pipeline into the Genospace platform.
• Extract data from primary sources reliably.
• Transform and harmonize data based on data context.
• Monitor data pipelines and diagnose issues; escalate as needed.
• Collaborate with product development on new features; testing and evaluation.
• Develop expertise in clinical/genomic domains for data registries.
• Interface with customers and stakeholders for training and feedback.

Skills

Genomics basics

Data transformation

Scripting language

MS Office

Biomedical domain

Analytical skills

Independence

Adaptability

Communication

Multi-tasking

Education

Bachelor's degree in quantitative or life sciences

Tools

Genospace

Python

Job description

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.

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

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

Education

Bachelor's 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.)

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 McKesson's 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

$34.22 - $57.04

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

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 McKesson's 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) [e-mail] or (Canada) [e-mail] . Resumes or CVs submitted to this email box will not be accepted.

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