Description:

We are seeking an Applied Scientist who is passionate about leveraging AI to revolutionize healthcare operations. This role involves enhancing our machine learning models and AI applications, fine-tuning large language models (LLMs), developing advanced prompting techniques and driving innovation in multi-agent systems.

Required Skills & Traits:

Expertise in LLMs: In depth knowledge of Large Language Models including expertise in prompting strategies, the latest research advancements and fine-tuning techniques to optimize model performance.
Machine Learning Proficiency: Proficient in Python and machine learning libraries such as TensorFlow and PyTorch with experience in model development, deployment and optimization.
Research Experience: Proven ability to conduct independent research and author scientific papers showcasing innovation and contribution to the field.
Problem-Solving Skills: Strong analytical skills with the ability to develop practical solutions to complex problems.
Communication Skills: Excellent verbal and written communication abilities, capable of conveying complex technical concepts to non-technical stakeholders.
Team Collaboration: Demonstrated ability to work effectively in a fast-paced, cross-functional team environment.

Expected Outcomes:

Develop and Optimize ML Models: Design, deploy, monitor and maintain proprietary machine learning models including multi-agent systems and LLMs to advance healthcare operations and workflows.
Customize and Integrate LLMs: Tailor open-source LLMs and integrate enterprise LLMs to meet specific healthcare requirements, ensuring compliance with industry regulations.
Advanced Prompt Engineering: Develop and implement effective prompting techniques to enhance model performance in complex healthcare applications, such as prior authorization processes.
Research and Publication: Conduct cutting edge research on AI applications in healthcare, author scientific papers and contribute to the broader scientific and healthcare community.
Cross-Functional Collaboration: Work with multidisciplinary teams to identify opportunities for system enhancements, driving initiatives that improve efficiency, accuracy and quality in healthcare service delivery.
Simulation Development: Contribute to building intelligent simulation systems that emulate and replace service led workflows, aiming for significant efficiency gains and cost reductions.
Ethical and Regulatory Compliance: Ensure all AI solutions adhere to ethical standards and comply with healthcare regulations regarding data privacy and security.

Specific courses required for project execution: Machine Learning, Deep Learning, NLP, DSA

RISA Labs, Inc - IT

Station Overview

Project 1

Title: Applied Scientist Intern