Role Description

Perform data exploration, cleaning, preprocessing, and visualization using Python.

• Develop and evaluate baseline machine learning models (e.g., classification/regression) using scikit-learn when applicable.
• Query, validate, and summarize datasets using SQL (SELECT, JOIN, GROUP BY).
• Produce clear documentation and communicate progress, findings, and tradeoffs.
• Deliver reproducible project outputs (e.g., notebook/app + documentation) and present results to stakeholders.
• Work responsibly with sensitive healthcare data and follow privacy/security guidelines.

Qualifications

• Streamlit or dashboard development experience preferred.
• Version control fundamentals using Git/GitHub preferred.
• Proficiency in Python for data analysis (e.g., Pandas, NumPy, Matplotlib).
• Comfortable writing and debugging Python scripts and working in Jupyter Notebooks (or similar).
• Basic understanding of statistics (mean/median, standard deviation, distributions).
• Basic understanding of LLMs and prompt engineering, including generation, common limitations (bias/hallucination), and practical prompt-design techniques.
• Familiarity with basic SQL querying and aggregations.
• Strong communication skills, curiosity, and ability to work independently with mentorship.

Benefits

• Superior health plan options.
• Dental, Vision, HSA/FSA, Life and AD&D coverage, and more.
• Top Tier 401(k) retirement savings plans that offers a $1.20 match for every dollar up to 6% plus discretionary profit-sharing contributions (eligible January following 18 months of service).
• Generous paid time off starting 3-4 weeks’ annually.
• Student Loan Refinancing Discounts.
• Professional and Career Development Program.
• EAP and travel assistance included.
• Wellness program.
• Purpose-driven culture focused on improving the lives of our patients, communities, and employees.