Internship: Data Scientist, Health Informatics at Quest Diagnostics

Paid Intern: Data Scientist, Health Informatics This person can work 100% remotely with a flexible schedule totaling, on average, 20 hours a week, depending on business needs. Candidate must be located in the US. Responsibilities Work remotely with a cross‑functional team of analysts, medical doctors, business leaders, and IT professionals to develop and deliver informatics and analytics services and solutions utilizing data from varied healthcare related data sources. Utilize strong data science programming, quantitative and analytical skills to standardize, integrate, analyze, and model large clinical data. Identify meaningful patterns in diagnostic test results using data mining, pattern recognition techniques (clustering, association rule mining, and decision trees), and predictive analytics (regression modelling, machine and deep learning, neural networks). Contribute to product development including visualizations and statistics‑based altering systems to enable public health entities and clinicians to better serve their communities. Build scaled data engineering algorithms to minimize the need for additional data curation. Work on end‑to‑end projects from data engineering, through advanced analytics, to final presentation and visualization. Other duties as assigned. Qualifications Master’s degree student in a quantitative field including Data Science, Biostatistics, Bioinformatics, Public Health, Computer Science, Economics, Statistics, or Mathematics. Strong ability to work on multiple projects simultaneously, balancing priorities, and to work on cross‑functional teams. Ability to work on large data sets using Python is required. Candidates with both advanced Python and SQL skills are strongly preferred. Experience using data mining, pattern recognition, machine learning, deep learning, statistical and/or mathematical programming and modeling preferred. Experience with visualization tools like Tableau, AWS‑Quicksight, Qlik, Power‑BI, SAS‑VIYA preferred. Use of other tools like AWS‑Sagemaker preferred. Professional data science/data engineering experience preferred. Experience with clinical/health care data and specifically lab data preferred. Excellent communication skills strongly preferred. Experience with Microsoft Office products required; expertise in Excel preferred. Open to limited travel. All requirements are subject to possible modifications to reasonably accommodate individuals with disabilities. Equal Opportunity Employer: Women / Minorities / Veterans / Disabled / Sexual Orientation / Gender Identity. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status. #J-18808-Ljbffr