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.
Be part of the growing Ontada team that’s poised to transform the fight against cancer. Backed by the strength of a Fortune 10 company, our entrepreneurial organization develops technologies used by the oncology provider community to deliver evidence-based, personalized care, as well as insights used by biopharma companies to accelerate drug development and support the entire treatment journey. Our work powers informed decision-making at every pivotal moment in oncology – from the treatment options presented to patients, to the operational considerations for oncology practices, to the design of clinical trials, to the assessment of real-world effectiveness of treatments, to the commercial launch plans for new therapies.
We are looking for a self-motivated, capable, enthusiastic, and dependable person to join our growing Data Science & Analytics team in this collaborative and results-oriented position that is focused on helping to execute our Market Insights and Real World Data Solutions strategies.

POSITION SUMMARY

The Ontada team draws upon deep expertise in data science, data analytics, and real-world clinical data to deliver clinical data products and insights for clients in the life sciences industry across multiple phases of drug development and commercialization. Our work helps clients define markets, demonstrate value and effectiveness, and inform business decisions throughout product lifecycles.
The Data Scientist will have the opportunity to work on complex business problems leveraging our in-house EMR / EHR 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. This person will be responsible for obtaining and validating raw data, performing analysis, deploying and refining internal tooling & analytics pipelines, and producing mock-up and production reports and visualizations from available sources. The person will have an in-depth knowledge of analytics software, documentation, utilities & program scripts, experience handling longitudinal patient-level data, as well as excellent written & verbal communication skills.
Based on candidates’ skills and experience, this role will be filled as either a Data Scientist or a Senior Data Scientist.

EDUCATION

Bachelor’s / Master’s degree, with a focus in Healthcare, Public Health, Statistics, Research Methods, Computer Science or related fields strongly preferred (Master’s degree required for Senior role)

CRITICAL SKILLS

• 4+ years of programming in Python / PySpark and SQL, and able to code at an advanced level. Familiarity with SAS preferred
• 4+ years of work experience in hands-on analysis of clinical / healthcare data analysis, including expertise working with large, longitudinal, patient-level datasets with granular clinical detail
• 2+ years of hands-on experience programming in Databricks (strongly preferred) or equivalent platforms, with a focus on data manipulation, building & deploying standardized pipelines
• Experience in mining Claims and EMR data, preferably oncology related data
• Experience or a strong interest in data analysis, clinical / patient journey / treatment pattern analysis, visualization and applying quantitative methods to real-world business problems in the life sciences industry
• Strong interpersonal, oral and written communication 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
• Familiarity with Microsoft Word, Excel, and PowerPoint

ADDITIONAL KNOWLEDGE & SKILLS WHICH WOULD BE A PLUS

• Experience with Tableau / PowerBI
• Experience in healthcare or life sciences consulting
• Oncology experience
  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.

• With minimal supervision, synthesizes business rules and methodological approach to answer questions posed by internal or external clients
• Prepares, structures, and analyzes raw healthcare data from multiple sources, such as, electronic health records and claims data, using algorithms
• Ensures data sets and reports are built to specifications and formats output of data analysis for customer readiness
• Facilitates and participates in peer review meetings for each of the deliverables
• Works on multiple projects simultaneously in a fast-paced, dynamic environment
• Leverage data visualization and interactive dashboards to effectively communicate insights and help clients make better decisions from our clinical data products
• Translating the findings from reports for clients into implications or recommendations for business decisions
• Interacts with clients to clarify needs and in reviewing results
• Provides quality assurance on all assigned reporting and data extracts
• Proactively communicates, collaborates, and builds relationships with external and internal stakeholders
• Formulate and implement effective data strategies, and identify areas for significant efficiency gain through automation