Job Summary

New York City Jobs is seeking a dynamic and motivated Healthcare AI & Machine Learning Intern to join our cutting-edge remote team. This internship offers an exciting opportunity to contribute to innovative AI solutions aimed at transforming healthcare delivery and patient outcomes. As an intern, you will collaborate with a team of experts to solve real-world problems using AI, data science, and machine learning techniques, while gaining hands-on experience in a fast-paced and impactful environment.

Key Responsibilities

• Assist in designing, developing, and deploying AI and machine learning models to address healthcare challenges.
• Work closely with data scientists and healthcare professionals to gather, clean, and analyze healthcare datasets.
• Contribute to building predictive models, natural language processing algorithms, and deep learning solutions.
• Conduct literature reviews and stay updated on the latest AI research trends in the healthcare industry.
• Support the team in creating dashboards, visualizations, and reports to communicate key findings.
• Participate in brainstorming sessions and contribute to developing innovative AI-driven healthcare solutions.
• Test and validate models to ensure accuracy and robustness in real-world applications.

Required Skills and Qualifications

• Current enrollment in a Bachelors, Masters, or PhD program in Computer Science, Data Science, AI, Machine Learning, Biomedical Engineering, or a related field.
• Strong foundation in programming languages such as Python or R.
• Knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
• Basic understanding of healthcare data types (e.g., EHR, imaging, clinical notes) is a plus.
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent verbal and written communication skills.
• Ability to work independently and within a remote team environment.

Experience

• Academic or personal projects related to AI/ML, particularly in the healthcare domain, are highly desirable.
• Prior internship or research experience in AI/ML, data science, or healthcare analytics is a plus.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is beneficial.

Working Hours

• Flexible working hours with a commitment of 20-30 hours per week.
• Fully remote role, allowing you to work from anywhere.
• Collaboration with team members across different time zones may occasionally require flexibility.

Knowledge, Skills, and Abilities

• Knowledge of statistical methods and data analysis.
• Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib.
• Ability to handle sensitive healthcare data with a high level of integrity and confidentiality.
• Strong attention to detail and ability to manage multiple tasks and deadlines effectively.
• Adaptable to new tools, technologies, and fast-changing project requirements.

Benefits

• Hands-on experience in one of the most promising and impactful sectors—AI in healthcare.
• Mentorship and guidance from industry professionals.
• Opportunity to contribute to high-profile healthcare AI projects.
• Remote work flexibility to balance with academic responsibilities.
• Networking opportunities within the healthcare AI community.
• Potential for a full-time offer upon successful completion of the internship.

Why Join

At New York City Jobs, you will become part of a mission-driven organization dedicated to solving critical healthcare challenges through AI and machine learning innovation. You will collaborate with a passionate, forward-thinking team on projects that make a real difference in patient care and outcomes. If you are looking for a meaningful internship that combines technical expertise with social impact, this is the opportunity for you.

How to Apply

Please submit your resume, cover letter, and a portfolio of relevant projects (if available) through our online application portal. Be sure to highlight your interest in healthcare and AI, as well as your technical qualifications. Shortlisted candidates will be contacted for a remote interview.