Posted:6 days ago| Platform: Foundit logo

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Job Description

Jump-start your career when you join Origin Medical Research Lab Internship Program 2025 - an immersive curriculum designed to develop and empower you as you grow in your career. As an AI researcher, you will work with fellow Research Engineers, Clinical Data Engineers, AI Scientists, leading medical institutions, and clinicians to develop state-of-the-art, safe, and effective AI technologies to improve the standard of care in maternal-fetal medicine. We will accelerate your development as an AI researcher to solve interesting real world challenges and advance in your professional career.

About Origin Medical Research Lab

Origin Medical Research Lab is the research arm of Origin Medical. Here, we strive to bring together the best and brightest minds at the intersection of AI and healthcare to fulfill Origin Medical's mission.

By combining the knowledge of healthcare and AI, it is on a journey to build state-of-the-art solutions aimed at supporting a broad spectrum of healthcare providers in rural and urban communities, allowing them to practice at the top of their licenses. With AI in the imaging workflow, clinicians can more confidently deliver timely interventions, enhance pregnancy outcomes, identify high-risk pregnancies to reduce maternal mortality, and significantly lower infant mortality rates.

Origin Medical, headquartered in Cambridge, Massachusetts, USA, is driven by a mission to advance maternal health equity by improving access to quality prenatal care with artificial intelligence.

About the AI Team and the Role

As an LLM Research InternModel Engineering and Integration at Origin Medical Research Lab, you'll work alongside research engineers, AI scientists, clinicians, and leading medical institutions to design, fine-tune, and integrate large language models (LLMs) that address real challenges in clinical documentation, medical Q&A, and information retrieval. You'll also contribute to developing next-generation deep learning algorithms for the automated assessment of fetal ultrasound images. This internship offers a rare, hands-on research experience where you'll get to explore new ideas, experiment with cutting-edge AI models, and push the boundaries of what's possible in healthcare. Throughout the program, you'll be mentored by industry experts who will help you translate your research into real-world, impactful healthcare solutions.

What will you do

  • LLM fine-tuning and evaluation:

    Fine-tune and evaluate large language models (e.g., GPT, Llama, Claude) for domain-specific healthcare tasks using supervised datasets and prompt engineering techniques.
  • Prompt and benchmark development:

    Create and maintain structured prompt templates, evaluation datasets, and comprehensive model benchmarking frameworks.
  • LLM-based retrieval integration:

    Develop and integrate LLM-driven search solutions (e.g., RAG, semantic retrieval) with medical data repositories to enable intelligent information access.
  • Research communication:

    Present work through portfolio-ready demos, well-documented code, and GitHub repositories to ensure clarity, reproducibility, and impact.

Who are we looking for

  • Passionate about advancing the field of AI by developing intelligent language models that drive real-world healthcare and research innovation.
  • Over 1 year of hands-on experience working with large language models (LLMs), the Transformers ecosystem, and related academic or industry projects.
  • Skilled in fine-tuning, data curation and preprocessing, prompt engineering, and designing evaluation pipelines for language models.
  • Proficient in Python, with practical experience using frameworks such as PyTorch or TensorFlow, Hugging Face, and vector search technologies.
  • Demonstrated ability to produce reproducible and well-documented work through GitHub repositories, research notebooks, hackathon demos, or deployable portfolio projects.
  • An analytical and curious problem-solver with a strong learning mindset, collaborative spirit, and clear communication skills in both written and spoken English.
  • Previous experience in fast-paced research environments or startups is a plus.

Working at Origin Medical Research Lab

  • You will receive training, along with continuous guidance and mentorship from team members. Additionally, you'll receive guidance and support from the founders in your career goals, helping you to develop your skills and build your professional network.
  • You will be given the opportunity to work with renowned clinicians, AI scientists, and business leaders from around the world.
  • Get a head start in unlocking the power of your leadership DNA. Discover your strengths as you take on challenges that will prepare you for leading the way in making a difference.
  • You will receive industry industry-standard monthly stipend and promising candidates will be given a conditional full-time job offer at the end of two months.

This job posting is valid only on our official LinkedIn page, the mentioned URL, and authorized platforms such as Weekday. We are not responsible for any job postings or advertisements on third-party sites not listed above.

Please note that our company does not charge any fees for internships or job applications. Any such requests for payment should be considered fraudulent. We strongly advise you to report any suspicious activity involving our name to the appropriate authorities.

Any unauthorized use of our job postings, company information, or data by third parties for their business activities is strictly prohibited. Such actions may be in violation of the Information Technology Act and will be subject to legal penalties under applicable laws.

The information provided in this job posting outlines the general nature of the role. It is not an exhaustive list of responsibilities, duties, or skills required. The company reserves the right to make changes to this description at any time based on business needs.

Our company is an Equal Opportunity Employer, and we do not discriminate based on race, color, religion, gender, national origin, age, disability, sexual orientation, or any other status protected under federal, state, or local laws.

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