Intern, Data Analyst-Remote

• Retrieve, process, and clean large-scale biomedical data, build high-quality datasets.
• Design and develop machine learning models for clinical or biomedical research, with a focus on Large Language Models (LLMs), medical imaging, or multimodal AI.
• Conduct experimental design and evaluation, including statistical analysis, performance assessment, error analysis, and robustness testing.
• Collaborate with cross-functional teams, including clinicians, data scientists, and engineers, to refine research questions and interpret results.
• Contribute to scientific writing, including drafting manuscripts for peer-reviewed journals and preparing materials for presentations or conferences.
• Develop interactive data visualization tools to communicate insights clearly.

Qualifications

• 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.
• Ability to work in a fast-paced, dynamic environment managing multiple priorities involving multiple entities.
• Intermediate to excellent proficiency in MS Word, Excel, Outlook and PowerPoint.
• 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. For any roles working remotely, the work must also be performed inside the United States, not in a foreign country.