About
Medpace is a full-service clinical contract research organization (CRO) that provides Phase I–IV clinical development services to the biotechnology, pharmaceutical, and medical device industries. Its mission is to accelerate the global development of safe and effective medical therapeutics through a scientific and disciplined approach.
Responsibilities
•Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes
•Research, develop, and implement machine learning algorithms and models for classification, regression, clustering, anomaly detection, and recommendation systems
•Research, develop, and implement AI tools such as NLP, LLM, and IA
•Collect, preprocess, and curate large datasets for training generative models
•Experiment with supervised, unsupervised, semi-supervised, reinforcement, and deep learning techniques and algorithms
•Design and optimize machine learning pipelines and workflows, including data cleaning, feature engineering, model selection, and hyperparameter tuning
•Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production
•Program and fine-tune AI tools and help IT teams implement them in new applications
•Collaborate across the organization with multiple teams to improve company process efficiency and provide users with insights and assistance
Requirements
•Bachelor's degree or higher in Artificial Intelligence, Computer Science, Data Science, or a related field
•Experience implementing and fine-tuning Large Language Models or interactive AI applications, with more than 1 year of post-graduate experience
•Proficiency in programming languages and frameworks commonly used in NLP and AI, such as Python, TensorFlow, and PyTorch
•Excellent communication skills for effective collaboration with cross-functional teams
•Passion for keeping up with the latest advances in NLP and AI technologies
•Analytical thinking and strong attention to detail
Nice to have
•A Master's degree
•Several years of experience with different AI capabilities, and demonstrated use of AI at work and outside work
Benefits
•Competitive compensation programs that recognize and reward performance
•Comprehensive health, wellness, retirement, and PTO benefits
•Office-based culture with occasional WFH flexibility for eligible positions after training
•Company-sponsored social events and intramural sports
•On-site mentors, defined career paths, onboarding and training programs, and ongoing learning opportunities
•Modern corporate campus with on-site dining, free parking, and 24/7 fitness and wellness facilities
