Principal Machine Learning Research Scientist
Summary
A Principal Machine Learning Research Scientist at Merck Group advances applied ML research using techniques like uncertainty quantification, digital twins, and causal ML, while modeling biological/clinical systems and contributing to publications.
- Advance applied machine learning research
- Apply uncertainty quantification techniques
- Build digital twins methods
- Contribute to publications and conference presentations
- Design sequential decision making algorithms
- Develop multimodal representation learning methods
- Establish reproducible computational experiments
- Integrate heterogeneous evidence
- Investigate large language model reasoning and planning
- Lead academic research collaborations
- Model complex biological systems
- Model complex clinical systems
- Reproduce scientific advances
- Research causal machine learning approaches
- Support adoption with engineering teams
- Translate research into reference implementations
- Validate scientific methods