Internship for 10 weeks between May and August 2020
UnityPoint Health is building an industry-leading analytics function by aligning resources with expertise in technology solutions, claims analysis, financial analysis, clinical operations, advanced data mining tools, and analytic techniques. This team will support the strategic objectives of UnityPoint and collaborate with customers across the care continuum to ensure the appropriate information is available to drive decision making and support business needs.
Support the data science product life cycle: translate business problems into data science solutions, design and develop data pipelines, formulate mathematical methodologies, create user interfaces and visualizations, and support solution implementation and maintenance
Maintain a working knowledge of the data sources to accurately and efficiently report findings in a meaningful and understandable manner.
Execute ad hoc analyses involving descriptive, inferential, and predictive statistical or machine learning methods and make the results accessible and relevant to a wide variety of business users
Develop and refine analysis templates for problem diagnosis and opportunities assessment
Collaborate effectively with other analytical team members
Demonstrate initiative to improve quality and customer service by striving to exceed customer expectations.
Establish effective mechanisms of communication with staff, providers, and the organization's management team to foster an environment of openness, trust and team work
Comply with UnityPoint Health data governance and development standards
Complete special projects and management reports as assigned
Balance team and individual responsibilities and put the success of the team above own interests
Actively participate in intern events
Currently pursuing a Bachelor's Degree in an applied technical field, including (but not limited to): mathematics, statistics, operations research, analytics, data science, engineering, or physics.
Pursuing a Master's Degree in an applied technical field, including (but not limited to): mathematics, statistics, operations research, analytics, data science, engineering, or physics preferred.
Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization (F-1 students with practical training and candidates requiring H-1Bs, TNs, etc. will not be considered)
Educational background in mathematical modeling is strongly preferred. Preference given to applicants with healthcare experience and understanding of the healthcare industry
Must be comfortable working almost exclusively in scripting/statistical programming languages such as SQL, R, and Python when creating solutions
Preference given to applicants with previous experience in:
Ability to synthesize complex data into user friendly visual presentations for use by Operations Management and other business partners.
Requires highly developed communications skills to effectively collaborate with broad customer base.
Possesses excellent writing and verbal communications skills and the ability to understand and communicate concepts and recommendations.
Ability to understand and deal effectively with problems and opportunities, which arise, in a complex multiprocessing environment is crucial.
Ability to continuously learn and adopt new mathematical methods and technologies