Job Url: https://www.remoterocketship.com/company/mckesson-4/jobs/senior-data-scientist-united-states Job Description: McKesson Website LinkedIn All Job Openings McKesson is a diversified healthcare leader focused on pharmaceutical distribution, healthcare services, and medical supplies. The company offers drug distribution services to improve patient experiences, medical supplies for high-performing labs and clinics, and pharmacy management tools to balance operational efficiency with customer care. McKesson also provides solutions for specialty practices, biopharma companies, and oncology management, including commercialization and medication access programs. With a commitment to advancing health outcomes, McKesson partners with healthcare organizations to address challenges like drug shortages and integrate technology solutions for pharmacy operations. Pharmaceutical Distribution • HealthCare IT • Practice Management • Supply Chain Management • Medication Adherence 10,000+ employees Founded 1833 ⚕️ Healthcare Insurance 💊 Pharmaceuticals ☁️ SaaS Senior Data Scientist 3 hours ago 🍂 Massachusetts – Remote 🤠 Texas – Remote 💵 $133.1k - $221.9k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. • We focus on the health, happiness, and well-being of you and those we serve. • The Senior Data Scientist will have the opportunity to work on complex business problems, leveraging our in-house data sources within a collaborative environment. • This role will be responsible to support healthcare data initiatives by providing accurate and timely data preparation, analysis and insights, quality assurance, and ongoing system and process maintenance. • Implement comprehensive data science strategies that align with organizational goals and improve healthcare delivery. • Development and execution of data profiling, data preparation, data mining and data validation techniques to analyze complex healthcare data. • Manage multiple projects simultaneously, ensuring timely delivery and quality of analytical solutions. • Work closely with cross-functional teams, including clinicians, IT professionals, and business stakeholders, to understand data needs and deliver actionable insights. • Stay abreast of the latest advancements in data science and healthcare technology and apply them to drive innovation within the organization. • Present findings and recommendations to senior leadership and other stakeholders in a clear and concise manner. • Ensure the accuracy, reliability, and validity of data analysis and models through rigorous testing and validation processes. 🎯 Requirements • Minimum of 7 years’ experience in data science, with a significant portion in the healthcare sector and specifically in clinical data management. • Experience in mining claims, genomics and EMR data; oncology experience is required; Clinical trial and unstructured data is a plus. • Oncology experience required. • Experience in data analysis, data mapping/cleansing, data manipulation, and data interpretation visualization and applying quantitative methods to real-world business problems in the life sciences industry. • Proficiency in programming languages such as Python, R, or SQL. • Strong understanding of healthcare systems, terminology, and regulatory requirements. • Excellent verbal & written communication skills, with the ability to convey complex concepts to non-technical audiences. • Serve as a liaison between clinical leaders and software engineering teams. • Strong problem-solving skills and ability to think critically and creatively. • Passion for using data, analytics and visualization to solve business challenges our clients face. • In-depth knowledge of software, documentation, utilities & program scripts. • Demonstrated analytical, quantitative, and organizational skills. • Self-starter, able to work with limited supervision. • Demonstrates curiosity and a creative approach to problem solving. • Effectively work independently and within a team. • Excellent attention to detail. • A desire to continuously learn and develop professionally. • Proficient in Microsoft Word, Excel, and PowerPoint.