About the position
At Quest, we are on a continuous journey of discovery and development, and we are seeking a paid Intern: Data Scientist in Health Informatics. This internship offers a unique opportunity to work remotely with a cross-functional team of analysts, medical doctors, business leaders, and IT professionals. The intern will develop and deliver informatics and analytics services and solutions utilizing data from various healthcare-related data sources. This role is designed for a Master's degree student in a quantitative field, allowing for a flexible schedule totaling, on average, 20 hours a week, depending on business needs. The pay for this position is $20 per hour. The intern will utilize strong data science programming, quantitative, and analytical skills to standardize, integrate, analyze, and model large clinical data sets. They will identify meaningful patterns in diagnostic test results using data mining and pattern recognition techniques, including clustering, association rule mining, and decision trees, as well as predictive analytics such as regression modeling, machine learning, deep learning, and neural networks. Additionally, the intern will contribute to product development, including visualizations and statistics-based alerting systems to enable public health entities and clinicians to better serve their communities. This position involves working on end-to-end projects from data engineering through advanced analytics to final presentation and visualization. The intern will also be expected to perform other duties as assigned, making this a dynamic and engaging role within the organization.
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, and predictive analytics.
- Contribute to product development including visualizations and statistics-based alerting 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.
- Perform other duties as assigned.
Requirements
- 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.
Nice-to-haves
- 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.
Benefits
- Competitive benefits and development opportunities in a progressive and supportive environment.
