ML Postdoc Researcher
We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
About the role
The successful candidate will work on cutting-edge research projects that aim to improve healthcare through advanced machine learning techniques. They will collaborate with multidisciplinary teams to develop and apply models that can analyze large datasets to provide insights and support decision-making processes.
Responsibilities
- Contribute to the development and evaluation of LLMs and clinical data analysis models
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Research and implement novel algorithms and methodologies in the field of AI
- Present findings at internal and external conferences and workshops
Requirements
- PhD in Computer Science, Artificial Intelligence, Statistics, or a related field
- Strong background in machine learning, natural language processing, and/or clinical data analysis
- Experience with large-scale data processing and model training
- Excellent communication and collaboration skills
Qualifications
- Passionate about using technology to improve healthcare outcomes
- Ability to work independently and as part of a team
- Interest in contributing to a mission-driven organization
Skills
- Proficiency in Python, R, or other relevant programming languages
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Knowledge of clinical data standards and regulations
Benefits
- Competitive salary commensurate with experience
- Flexible work schedule
- Professional development opportunities
- Employee wellness programs
Pay
Commensurate with experience
Schedule
Full-time