Healthcare Data Scientist

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.

Genospace is looking for a talented and enthusiastic team player to deliver quality research and publications in the biomedical space.

As a leading provider of information technology services in molecular medicine, our software and services are used by clinicians and researchers all over the country to improve patient care. We serve research, clinical development, and clinical care customers who work with biomedical data. Many of the most advanced precision medicine organizations are powered by Genospace.

What You’ll Do:

Genospace is seeking a Data Scientist to deliver quality Outcomes Research in various healthcare settings, primarily using a Records-Based approach. The Data Scientist’s primary focus areas will be data management, biostatistics, scientific writing, and direct collaboration with medical and research professionals. The Data Scientist’s responsibilities will include evaluating the feasibility of proposed research, providing feedback and helping refine research protocols, planning and documenting research analyses, executing planned analyses, writing sections of manuscripts for publication, reviewing full manuscripts for publication, and presenting analyses and results to medical and research professionals.

Key Responsibilities

• Query, process, clean, and verify the integrity of data used for analysis
• Engineer features from raw clinical, demographic, and financial data and build research datasets and registries to be used in biostatistical analysis and modeling
• Support concept development and analytic plan development for scientific research studies, and lead the investigation and presentation of scientific results in peer-reviewed publications and conferences
• Collaborate in shared repositories using version control (git)
• Work in close, regular collaboration with medical researchers and their staff
• Work on multiple projects simultaneously; track deliverables and manage time appropriately to account for shifts in demand

What We’re Looking For:

Minimum Requirement

Degree or equivalent and typically requires 2+ years of relevant experience.

Education

• Masters degree in quantitative field, such as data science, predictive analytics, statistics, physics, or mathematics

or

• Bachelors degree in quantitative field with a 2+ years of research experience and 1+ medical science journal publication(s)

Critical Skills

• Strong skills with a data science relevant programming language, such as R (preferred) and/or Python
• Strong skills with one or more SQL dialects and relational databases (MS SQL Server, Teradata, BigQuery)
• Strong understanding of applied statistics skills, such as distributions, statistical testing, regression, survival analysis, dimension reduction, etc.
• Understanding of supervised and unsupervised machine learning models, such as k-NN, Naive Bayes, SVM, Decision Trees, Gradient Boosting, etc.
• Experience with data visualization libraries such as ggplot2 and/or matplotlib
• Experience with regular expressions & natural language processing
• Desire to collaborate with physicians and scientists on manuscripts to be published in the medical science journals
• Desire to learn about and understand various biomedical domains, such as solid tumor and blood cancers, orthopedics, cardiovascular health, and others
• Desire and ability to read scientific literature and apply that knowledge to current research efforts
• Excellent written and verbal communication skills

Nice-to-have but not required

• Experience with APIs (ODBC, FHIR, Google Cloud Platform, MS Azure)
• Experience with version control software (git)
• Experience with writing production-ready code
• Experience with concepts in relevant fields of application - therapeutics, molecular biology, oncology, clinical trials, electronic medical records, ICD10 codes, HIPAA

Candidates must be authorized to work in USA. Sponsorship is not available for this role.

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

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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