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Data Science Intern

HCA Healthcare
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If interested, please apply via the UNCA handshake site with your resume to schedule an interview at the March 27th Career Fair: https://career.unca.edu/handshake .

This IT internship has an anticipated start date of July 2018.  We are also interested in talking to candidates interested in a later start date in 2018. 

Mission Health’s Information Technology department invites you to apply to join the Clinical & Business Analytics team. Mission Health has been named one of the Top 15 Health Systems in America for an unprecented fifth time in six years by Truven Health Analytics. The IT division is proud to have earned the Most Wired designation each of the past five years.

The Data Science Intern is a full-time 40 hours per week internship available starting in July 2018.  The internship is designed to provide quality work experience to a current undergraduate or graduate college student or recent graduate within the past year. The internship is designed to give students an opportunity to complement their formal education with career-related experience.  The intern must be able to commit to working on-site for the duration of the internship.

 

This position is non-benefitted and would last approximately four months with the possibility of extending up to six months.

 

We are seeking either an undergraduate or graduate intern. Compensation for the intern will depend on education and experience level.

 

Data Science Intern (undergraduate) Pay Grade:

Minimum:$15.77/hour

Midpoint: $20.53/hour

Maximum:$25.24/hour

 

Graduate Data Science Intern Pay Grade:

Minimum:$22.26/hour

Midpoint:$30.63/hour

Maximum:$38.94/hour

 

 

Data Science Intern (undergraduate)

 

Role Summary: Assist Mission data scientists in building mathematical models for use in forecasting key clinical and business indicators. Collect, validate, and analyze data and prototype models for use in production systems. Document the design, development, implementation, and maintenance of these tools.

 

Core Responsibilities:

  • Perform data collection, data cleaning, data validation, and reporting tasks for analytical systems and applications

  • Support the analysis and validation of estimation, forecasting, and optimization models

     

    Basic Qualifications:

  • Enrolled in an undergraduate program in Mathematics, Statistics, or other relevant field.

  • Aptitude and enthusiasm for learning new analytical methods, software applications, and tools

  • Strong organizational and time management skills; exceptional attention to detail

  • Experience using at least one programming language (ex: JavaScript, Python, R, C/C++/C#).

  • Strong written and verbal communication skills

  • Moderate level skill in MS Excel (ex: pivot tables).

  • Familiarity with MS Word, and PowerPoint

     

    Preferred qualifications: (very strong preference given to candidates with these skills)

  • Experience using R or Python (> 500 hours)

  • Understanding of database structure; experience using SQL (>100 hours)

  • Experience using statistical methods such as linear regression, generalized linear models, dimensionality reduction (ex: principle components analysis), clustering (ex: hierarchal, k-means)

     

     

Graduate Data Science Intern

 

Role Summary: To build statistical and mathematical models for use in algorithm engines through the enterprise analytical platform. Collect, validate, and analyze data and prototype models for use in production systems. Document the design, development, implementation, and maintenance of these tools, and the measured impact of improvement initiatives on processes and outcomes.

 

Core responsibilities:

  • Perform data collection, data cleaning, data validation, and reporting tasks for analytical systems and applications

  • Support the analysis and validation of estimation, forecasting, and optimization models

  • Model and analyze clinical- and business-related topics using various statistical, mathematical, and simulation techniques

  • Design and develop algorithm engines for deployment in the enterprise analytical platform

     

Basic qualifications:

  • Currently enrolled in, or recently completed study, from a graduate school program leading to a Masters in Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, or related field.

  • Proven experience with statistical, forecasting, and/or optimization software such as R or Python, or SAS.

  • Demonstrated strong written, verbal communication, and presentation skills

  • Demonstrated strong organizational and time management skills, with attention to detail

  • Demonstrated strong partnering and relationship-building skills

  • Demonstrated aptitude and willingness to learn new analytical methods, software applications, and tools

  • Familiarity with Word, PowerPoint, and Excel

     

Preferred qualifications:

  • Proficiency in R or Python

  • Proficiency in SQL

  • Proficiency in statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models

  • Proficiency with forecasting methodologies

  • Proficiency with Bayesian statistics

  • Prior research or experience in healthcare