• Job Description

  Req#: 428844

  Your future role at a glance

  • Department: Clinical and Population Health Analytics
  • Schedule: Full Time Monday - Friday 8-5pm CT
  • Location: Remote
  • Salary: $17.37 - $23.50 Hourly

  How you'll make an impact in this role

  About Ascension and the Data Science Institute (ADSI)

  Ascension is a faith-based healthcare organization dedicated to transformation through innovation across the continuum of care. The Ascension Data Science Institute (ADSI) is at the forefront of this mission, leveraging cutting-edge data science, machine learning, and artificial intelligence to improve patient outcomes, optimize clinical operations, and enhance the overall quality and efficiency of healthcare delivery across our nationwide system.

  Job Summary

  The Data Science Intern will work closely with experienced data scientists, clinicians, and business stakeholders within the ADSI, specifically in the Throughput, Access and Labor Management section of ADSI. This role provides a unique opportunity to apply academic knowledge to real-world healthcare challenges. The intern will be involved in the full lifecycle of data science projects, including data acquisition, cleaning, exploration, model development, validation, and deployment.

  This internship is designed to be a challenging and rewarding experience, offering exposure to massive, complex datasets and the ethical considerations unique to health data.

  Key Responsibilities

  • Assist in the development, implementation, and refinement of predictive models and machine learning algorithms (e.g., classification, regression, time series forecasting).
  • Clean, transform, and wrangle large-scale, heterogeneous datasets.
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights relevant to healthcare operations and clinical quality.
  • Collaborate with engineering teams to deploy models into production environments for real-time or near real-time use.
  • Document methodologies, assumptions, and results clearly and effectively for both technical and non-technical audiences.
  • Present findings and recommendations to the ADSI team and internal/external stakeholders.

  Required Qualifications

  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, Industrial Organizational Psychology or a related discipline,
  • Strong foundational knowledge of statistical analysis, probability, and machine learning concepts.
  • Proficiency in at least one major programming language for data analysis (e.g., Python or R).
  • Experience with common data science libraries (e.g., Python: Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
  • Familiarity with SQL and relational databases.
  • Excellent problem-solving skills and a strong analytical mindset.
  • Ability to communicate complex technical information effectively.

  Preferred Qualifications

  • Previous experience working with large-scale data or cloud platforms (e.g., AWS, Azure, GCP).
  • Familiarity with distributed computing tools (e.g., Spark).
  • Experience working with healthcare data (e.g., EHR data, claims data, medical imaging) is a significant plus.
  • Familiarity with MLOps principles and tools.
  • A strong interest in contributing to the improvement of patient care and healthcare systems.

  What minimum qualifications you'll need

  Education:

  • High school diploma equivalency OR Enrolled in accredited program specific to discipline required.

  What additional requirements you'll need

  #LI-Remote

  #ADSI

  Life at Ascension: Where purpose meets opportunity

  Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter.

  Equal employment opportunity employer

  Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

  Fraud prevention notice

  Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.

  E-Verify statement

  Employer participates in the Electronic Employment Verification Program. Please click here for more information.

  Benefits

  Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits including employer match plansLong-term & short-term disabilityEmployee assistance programs (EAP)Parental leave & adoption assistanceTuition reimbursementWays to give back to your community

  Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.

• About the company

Notice