Data Scientist, GEO: CBMI

Position Purpose
Regenstrief Institute relies on insightful use and analysis of data to power our research. We're seeking an experienced data scientist to deliver that insight to our investigators and research teams. The Data Scientist prepares, interprets and cleans data, asks questions, connects the dots, and uncovers opportunities that lie within the data.

This position is a hybrid position with at least (1) day of onsite activity based on business needs, this role may be considered remote based on location.

Position Essential Duties and Responsibilities
To perform this job satisfactorily, an individual must be able to perform each essential function satisfactorily.

• Collaborates with investigators and research teams to develop an understanding of needs and to define key objectives and aims.
  
• Researches and devises innovative AI/machine learning models for data analysis, collaborating with statisticians and clinicians.
  
• Manages and executes research projects
  
• Researches and devises innovative statistical models for data analysis, collaborating with statisticians as needed.
  
• Participates in an iterative research process by discussing findings with investigators, research teams, and other stakeholders and modifying models and analyses based upon discussion.
  
• Enables smarter data analysis processes and implements analytics for meaningful insights.
  
• Works as the lead data Scientist, identifying and integrating new datasets that can be leveraged throughout the department/organization. Identifies relevant data sources to help address research needs, and collects large structured and unstructured datasets and variables.
  
• Works closely with the investigators, research teams and other stakeholders to strategize and execute the development of datasets.
  
• Devises and utilizes algorithms and models to mine data stores, performs data and error analysis to improve models, and cleans and validates data for uniformity and accuracy.
  
• Analyzes data for trends and patterns, and interprets data with a clear objective in mind.
  
• Implements analytical models into production by collaborating with other stakeholders.
  
• Communicates analytic solutions to investigators, research teams and other stakeholders and implements improvements as needed.
  
• Assists with preparation of proposals, presentations, abstracts, manuscripts, and other dissemination materials.
  

Education and Experience

• Requires a master's degree in computer science, data science, applied mathematics, or related discipline.
  
• Requires at least 3-year experience in data science (combination of related education and experience may be considered).
  
• Requires hands-on experience analyzing national, multi-year U.S. healthcare datasets, including EHRs, Medicare claims, and pharmacy data.
  
• Requires advanced skills in preparing, harmonizing, and managing large-scale datasets with varying file structures and coding conventions.
  
• Requires background in health-services research methods, including weighted fixed-effects models, cluster-robust inference, HHI construction, and policy-driven panel analyses.
  
• Must be proficient in geospatial analytics such as travel-time estimation, accessibility modeling (E2SFCA, IDW), and spatial statistics (Getis-Ord Gi*, Moran's I).
  
• Requires the ability to build reproducible analytic workflows in Python, R, SAS, SQL, and ArcGIS/ArcPy for large national datasets on multi-institution server environments.
  
• Strong academic writing ability with a track record of published research papers in informatics, health data science, and clinical journals and conferences.
  
• Requires the ability to work successfully with a diverse set of internal and external stakeholder.
  
• Proficiency with machine learning, data mining, mathematics, and statistical analysis.
  
• Advanced pattern recognition and predictive modeling experience
  
• Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS).
  
• Requires strong analytical and problem-solving abilities, including the ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.
  
• Requires excellent oral and written communication skills, especially around analytical concepts and methods.
  
• Requires the ability to work successfully with a diverse set of internal and external stakeholder.
  

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential duties of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties

• This position requires the physical ability to work 40 hours per week, including the flexibility to work extended hours as necessary to meet organizational needs
  
• This position requires the ability to sit and/or stand for extended periods of time
  
• This position requires the manual dexterity to operate a keyboard and pointing device
  
• This position requires the ability to travel around campus or to outside meetings as necessary
  
• This position requires the ability to perform focused work with close attention to detail
  
• This position requires excellent speaking, writing, and listening skills
  

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential duties of this job.
This work takes place in mainly an office environment, either a home office or an organizational office with possible meetings and interactions in other environments.

• This work is fast-paced and deadline-oriented and requires a flexible work schedule
  
• The use of a computer, business office equipment, and other machinery is necessary
  
• This position requires working as a team member and also independently
  
• This position requires working and interacting with others, both in person and through phone, e-mail, and written correspondence
  

BENEFITS OF WORKING HERE

• Work with a variety of diverse professionals in the healthcare industry
• Free parking
• Paid holidays, vacation, and sick time
• Group Life and Voluntary Term Life insurance
• Long-term and Short-term Disability plans
• Employee Assistance Program (EAP)
• Flexible Spending Account (FSA)
• 403b Retirement Plan with gracious employer contributions
• Fitness program
• Pet insurance
• Qualified employer for loan forgiveness

REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION.

Please note relocation assistance are not available for this position.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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