Intern, Data Analyst-Remote

Intern in data science team to assist in data analysis and machine learning projects.

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AHA - American Heart Association

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Overview

Intern in data science team to assist in data analysis and machine learning projects.

You have:

  • Currently pursuing an MS or PhD degree in Computer Science, Biomedical Informatics, Engineering, Statistics, or a related quantitative field.
  • Demonstrated experience with large-scale machine learning or foundation models, including training, fine-tuning, and evaluating LLMs (e.g., GPT, BERT) or vision models (e.g., CNNs, Vision Transformers).
  • Strong programming skills in Python (or R), with experience in machine learning frameworks.
  • In-depth knowledge of study design, data analysis, and statistical methodologies, with prior experience working with clinical or biomedical data (e.g., EHRs, images).
  • Prior authorship or co-authorship of peer-reviewed publications is strongly preferred.
  • Experience with interactive visualization tools (e.g., Plotly, Dash, D3.js, or React) is a plus.
  • Excellent communication skills, with the ability to present results to both technical and non-technical audiences.
  • Ability to deal professionally in a corporate or non-profit environment and assume responsibility for guiding projects and programs from inception through completion.
  • Minimum availability of 20 hrs/wk, M-F between the hours of 8:00am-5:00pm.
  • Required Equipment: Reliable WiFi Connection.
  • 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 your experience with large-scale machine learning models? The interviewer wants to assess your familiarity with the main focus of the internship. Discuss specific projects and models you have worked with, including details on training and evaluation.
How do you approach data cleaning and preparation for analysis? This question aims to evaluate your technical skills and methodologies. Pro members can see the explanation.
What statistical methods do you frequently utilize in your analysis? Pro members can see the explanation. Pro members can see the explanation.
Describe a time when you had to present your results to a non-technical audience. Pro members can see the explanation. Pro members can see the explanation.
What interactive data visualization tools do you prefer, and why? Pro members can see the explanation. Pro members can see the explanation.
How do you prioritize tasks when managing multiple projects? Pro members can see the explanation. Pro members can see the explanation.
Have you authored or co-authored any publications? Please elaborate. Pro members can see the explanation. Pro members can see the explanation.
What motivates you to work in a non-profit health organization? Pro members can see the explanation. Pro members can see the explanation.
Added 7 months ago - Updated 6 months ago - Source: heart.org