Manager of Health Outcomes Data Science

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, SAS

Job Description

Last year our HCA Healthcare colleagues invested over 156,000 hours volunteering in our communities. As a Manager of Health Outcomes Data Science with HCA Research Institute you can be a part of an organization that is devoted to giving back!

We are committed to providing our employees with the support they need. At HCA Healthcare, we offer eligible colleagues an attractive benefit package that includes medical, wellbeing, dental and vision benefits along with some unique benefits including:

• Medical, Dental, Vision, Life Insurance and Flexible Spending
• Paid Time Off (PTO) and Personal Leave
• 401K(100% annual match - 3% to 9% of pay based on years of service)
• Academic Assistance and Reimbursements for Tuition and Student Loans
• Employee Discounts including Tickets, Retail, Mental Health Apps, Education Apps, Identity Theft Protection etc.
• Home, Auto, and Pet Insurance
• Employee Stock Purchase Program (ESPP)
• Short Term & Long Term Disability coverage
• Adoption Assistance
• Legal Benefits and lots more!

Learn more about Employee Benefits

Would you like to unlock your potential with a leading healthcare provider dedicated to the growth and development of our colleagues? Join the HCA Healthcare family! We will give you the tools and resources you need to succeed in our organization. We are looking for an enthusiastic Manager of Health Outcomes Data Science to help us reach our goals. Unlock your potential!

As the Health Outcomes Manager of Data Science, you will be a leader focused on investigating real-world data for insights that support innovative research and patient care. You will play a critical role in contributing to the growth of the clinical evidence and outcomes program across the Sarah Cannon Care network. This position will coordinate with colleagues in strategic development, clinical programs, IT, and Development Innovations to lead outcomes, health economics, prospective/retrospective data, real world data, patient reported outcomes and epidemiologic research projects.

You will be responsible for the statistical analysis and data science functions of Sarah Cannon Health Economics & Outcomes Research. This includes overseeing the activities of data scientists and analysts, ensuring proper resources are trained and available for all projects, coordinating resources to ensure successful project execution, leadership of research programs across areas of health and biomedical science and data-related analysis and data science tasks for studies and informatics projects.

· You will take a lead role in the preparation of statements of work, statistical analysis plans, and related documentation for new research/analytic engagements

· You will be responsible for the execution of projects assigned to the data science team including development of project deliverables, tracking and reporting against project timelines, management of project scope and change amendments

· You will collaborate with physician and clinical thought leaders in the design and application of outcomes/health economics research in alignment with strategic goals

· You will support concept development, protocol design, and analytic plan development for outcomes research and discovery projects

· You will develop and administer data collection instruments to support outcomes research projects

· You will build and manage strategic internal and external relationships in order to expand existing outcomes projects, develop new opportunities, facilitate work and achieve business goals

· You will actively participate in the full continuum of care pathway development and on-going review/edit. You will actively promote outcomes projects that demonstrate the impact of care pathways and clinical programs on patients, providers, and health care economics

· You will collaborate with cross-functional colleagues to implement and evolve Data Systems Architecture to support analytic-based outcomes research and real-world-evidence efforts

· You will take an active role in data interpretation, manuscript and presentation development

· You will be responsible for the recruitment, selection, training, development and performance management of the informatics team members, providing learning and development opportunities to expand team capabilities and engagement

· You will build and deliver presentations to lay, scientific and medical audiences on Outcome Informatics capabilities, vision and work products

· You will provide creative leadership and customized solutions ensuring productive relationships with Sarah Cannon leadership/staff, research sites, and other internal and external customers

· You will work interactively with all functions of the company to help achieve the company’s vision

· You will collaborate with Senior Management on strategic planning; provide effective leadership in assessments, report generation, and resolution facilitation of problems as needed

· You will maintain a high degree of awareness of the current scientific state and advances in relation to clinical research programs by attendance at relevant symposia, scientific meetings and workshops, and review of key journals

 You should have for this position:

· A deep understanding of oncology, research methods, applied statistics, data mining, predictive modeling and forecasting in order to guide and support research that provides clear and actionable insights and strategic direction for business leaders

· Hands-on experience working with/analyzing diverse data assets: EMR, medical claims, cancer registry, publicly available administrative datasets (population health surveys, hospital discharge data)

· Expertise in research methodology: study design (randomized controlled clinical trials, observational studies, interventional research), subject recruitment, survey design, defining/developing clinical and patient reported outcomes

· Technical knowledge and capabilities: SAS, R, STATA, SPSS, SQL (should have working knowledge of at least one analytical software)

· Strong knowledge of statistical modeling, econometric, or data mining tools and methods to support clinical and epidemiological research

· Familiarity with linear models (linear regression, generalized linear regression, logistical regression) and nonlinear modeling techniques such as decision trees

· Working knowledge of FDA/GCP and research site operations/requirements

· Advanced leadership skills

· Well-developed interpersonal skills; ability to develop and maintain collaborative clinical research relationships

· Strong communication and presentation skills; ability to convey complex information to diverse audiences

· Advanced business analytic skills, problem solving and creative thinking skills

· A Master’s Degree, Doctorate is preferred

· At least three years of Epidemiology, health economics and/or outcomes research experience in the context of a healthcare, academic, pharmaceutical or biotech company