Archived listing. The details below describe a past opening.
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.
Ontada's Genospace team is transforming precision medicine through advanced analytics, machine learning, and AI-driven insights. We are seeking a Data Scientist to help turn complex healthcare, genomic, and clinical data into actionable insights that support research, clinical development, and patient care.
In this role, you will apply machine learning, statistical modeling, and generative AI techniques to develop predictive models, build analytical solutions, and deliver data-driven recommendations. You'll collaborate closely with product managers, engineers, clinicians, and scientists to advance precision medicine solutions used by leading healthcare organizations.
What You'll Do (Responsibilities)
- Analyze and validate healthcare, clinical, and genomic data to support research and business decisions.
- Build, test, and deploy machine learning models that generate actionable insights.
- Develop AI and large language model (LLM) solutions using prompt engineering techniques.
- Perform statistical analyses and translate findings into clear recommendations.
- Create dashboards, reports, and visualizations for technical and business audiences.
- Partner with product, engineering, clinical, and scientific teams to solve complex data challenges.
- Write production-ready code and support multiple analytics initiatives in a fast-paced environment.
Basic Requirements
- Master’s degree with 2+ years of relevant experience, or bachelor’s degree with 4+ years of relevant experience, or equivalent experience.
- Relevant experience in Data Science, Machine Learning, Analytics, Statistics, or a related field.
- Strong experience programming with Python or R and writing complex queries using SQL.
- Experience applying statistical techniques to analyze data and generate insights.
- Experience creating data visualizations, dashboards, or analytical reports and developing or supporting machine learning models.
Preferred Skills/Experience
- Master's or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
- Experience developing machine learning models using techniques such as NLP, deep learning, Random Forests, or Gradient Boosting.
- Hands-on experience with Generative AI, large language models (LLMs), and prompt engineering.
- Experience working in cloud-based analytics environments, including Azure Databricks or similar platforms.
- Familiarity with development and deployment tools such as Git, Docker, Airflow, or MLOps frameworks.
- Experience working with healthcare, clinical, genomic, oncology, or precision medicine data.
- Knowledge of healthcare data standards, clinical research, EMR data, HIPAA requirements, or related healthcare domains.
Location / Travel
- This position is eligible for a remote work arrangement.
- While Dallas-based employees may be subject to enterprise-level in-office expectations, this role does not have a regular onsite requirement. Minimal travel may be required.
- Applicants must be legally authorized to work in the United States. McKesson may consider employment-based visa sponsorship depending on the position, business needs, and applicable immigration requirements.
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, please click here.
Our Base Pay Range for this position
$91,800 - $153,000
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
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) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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