Okay, I've searched for temporary Data Scientist roles in Raleigh, NC, that require a PhD and emphasize healthcare data analysis and machine learning methods, along with experience in epidemiology. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at North Carolina State University focuses on leveraging data analysis and machine learning methods specifically for healthcare-related research, particularly concerning infection management. The primary purpose of this position is to support a research project within the realm of population health and pathobiology. Candidates are expected to possess a PhD, ensuring they have a strong foundational knowledge in epidemiology, infectious disease modeling, and biostatistics; these qualifications are crucial for analyzing complex health-related datasets, which will involve significant computational tasks and statistical analysis. The role will likely confront challenges such as dealing with incomplete or noisy data, integrating different data sources, and deriving actionable insights from the analysis. Success in this position over the first 6–12 months would be defined by the ability to produce reliable analyses that contribute to meaningful research outcomes and potentially influence healthcare practices.

Company Analysis:

NC State University is a significant educational and research institution known for its strengths in science, technology, engineering, and mathematics (STEM). As a land-grant university, its mission emphasizes improving quality of life—a reflection that this Data Scientist position ultimately serves a greater societal purpose. The culture at NC State is likely characterized by collaboration, innovation, and a strong commitment to research and community engagement. In terms of organizational context, this role is situated within the Population Health & Pathobiology department, implying that the candidate will likely work in a dynamic environment focused on real-world health issues. The strategic importance of this position is underscored by its potential impact on healthcare interventions in North Carolina and beyond, aligning closely with NC State's goal of advancing public health and research initiatives.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to analyze a large dataset. What approach did you take, and what were the outcomes?
• Describe a research project you have worked on involving machine learning methods. What were the challenges, and how did you overcome them?
• How do you prioritize tasks when faced with multiple deadlines in a research setting?
• Can you provide an example of how you communicated complex data findings to a non-technical audience?
• What specific machine learning algorithms are you most comfortable with, and how would you apply them to healthcare data?
• How do you ensure the quality and accuracy of your data before conducting an analysis?
• Given that health-related datasets can often have missing values, how would you handle those in your analysis?
• Imagine you are evaluating new infection data for a study. You notice some anomalies in the dataset. What steps would you take to address these?
• Why are you interested in working at NC State University specifically as a Data Scientist for this research project?
• How do you see your work in this role contributing to the mission of improving public health?
• What strategies would you employ to collaborate effectively with researchers from other disciplines?
• What do you believe are the biggest challenges facing population health research today?
• What questions do you have about the specific research projects you would be involved with at NC State?
• How does your experience align with the goals of NC State's Population Health & Pathobiology department?