Intern, Data Science-Remote

About the Role

Key Responsibilities

• Retrieve, process, and clean large-scale biomedical data to build high-quality datasets.
• Design and develop machine learning models for clinical or biomedical research, focusing 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 by drafting manuscripts for peer-reviewed journals and preparing materials for presentations or conferences.
• Develop interactive data visualization tools to communicate insights clearly.

Requirements

• Currently pursuing an MS or PhD 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 to present results to both technical and non-technical audiences.
• Ability to work in a fast-paced, dynamic environment managing multiple priorities.
• Intermediate to excellent proficiency in MS Word, Excel, Outlook, and PowerPoint.
• Minimum availability of 20 hours per week, M-F between 8:00 am and 5:00 pm.
• Reliable WiFi connection and legal authorization to work in the United States without sponsorship.

Nice to Have

• Experience with interactive visualization tools such as Plotly, Dash, D3.js, or React.
• Prior authorship or co-authorship of peer-reviewed publications.

Qualifications

• Pursuing an MS or PhD in a relevant quantitative field.

Benefits & Perks

• Competitive compensation of $23.00 per hour.
• Ongoing professional development and training through HeartU and other resources.
• Participation in Teladoc General Medical and Behavioral Health programs.
• Access to Employee Assistance Program (EAP) at no cost.
• Opportunity to explore a career with a reputable health organization and make a meaningful impact.