Intern, Data Science-Remote
Join our internship program and gain hands-on experience in data science and analytics within the healthcare sector.
Overview
Join our internship program and gain hands-on experience in data science and analytics within the healthcare sector.
You have:
- Currently pursuing an MS or PhD degree in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, Public Health, or a related quantitative field.
- Demonstrated ability to research health topics and translate findings into actionable guidance.
- Prior research or industry experience in biomedical informatics, clinical research, epidemiology, healthcare analytics, or related domains.
- Demonstrated proficiency in Python, R, and SQL, with experience developing reproducible data processing pipelines and analytical workflows for large-scale datasets.
- Demonstrated experience developing, deploying, and evaluating ML and AI solutions, including large language models (LLMs), AI agents, and agentic workflows for data engineering, analytics, and scientific research applications.
- Proficiency with software engineering best practices, including Git-based version control, code review, testing, documentation, and Agile project management tools.
- Experience working with cloud computing and/or high-performance computing environments (e.g., AWS, Snowflake, Azure, GCP).
- Excellent communication, scientific reasoning, and critical thinking skills, with the ability to collaborate effectively in multidisciplinary research teams.
- Experience with healthcare interoperability standards (FHIR, HL7), EHR systems (Epic), and/or clinical imaging data (CT scan, MRI, ECG) preferred.
- Experience creating interactive data visualizations and dashboards using tools such as Tableau, Power BI, Shiny, Streamlit preferred.
- Prior authorship or co-authorship of peer-reviewed publications preferred.
- Ability to work in a fast-paced, dynamic environment managing multiple priorities involving multiple entities.
- Intermediate to excellent proficiency in Microsoft Word, Excel, Outlook, PowerPoint.
- Required Equipment: Reliable WiFi Connection.
- Minimum availability of 20 hrs/wk, M-F between the hours of 8:30am-5pm.
- Must be legally authorized to work in the United States for any employer without sponsorship, now or in the future.
Potential interview questions
| Can you describe a time when you successfully worked with a multidisciplinary team on a research project? | The interviewer wants to hear about your collaborative experience and how you value teamwork. | Discuss your role, the team dynamics, and how you addressed challenges together. |
| What experience do you have with data processing pipelines and large-scale datasets? | This question assesses your technical skills and familiarity with data handling tools. | Pro members can see the explanation. |
| How do you prioritize tasks when managing multiple responsibilities? | Pro members can see the explanation. | Pro members can see the explanation. |
| Do you have experience developing ML or AI models? Can you provide an example? | Pro members can see the explanation. | Pro members can see the explanation. |
| Explain how you stay up-to-date with trends in data science and healthcare analytics. | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenging problem you encountered while working with data. How did you resolve it? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you ensure data quality and integrity in your analyses? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you give an example of how you've communicated complex data findings to non-technical stakeholders? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 27 days ago
-
Updated 3 days ago
-
Source:
heart.org
