Assistant Research Scientist (PREP0004904)
Key responsibilities will include but are not limited to:
- Assist in building an ensemble of hypothesis generation agents using different large language model architectures (Claude, GPT-4, Llama variants)
- Assist in developing linguistic evaluation metrics to measure semantic consistency across agent outputs, including mechanism entailment, evidence overlap, and experiment design similarity
- Assist in creating parsers to transform STAMP’s Gradient × Input explainability heatmaps into structured hypothesis cards
- Implementing the end-to-end pipeline from STAMP heatmaps to hypothesis cards to consensus reports
- Benchmarking the system against historical experimental data
- Contributing to scientific manuscripts and technical documentation
- Developing production-ready code using Python and ML/AI frameworks with version control and testing best practices
Qualifications
- Bachelor of Science degree in Computer Science (CS), or enrolled in a Master’s/Ph.D. program in CS, Computational Biology, Bioinformatics, or related field
- Proficiency in Python programming
- Familiarity with machine learning frameworks (PyTorch, TensorFlow, or JAX)
- Familiarity with natural language processing techniques
- Version control (Git) and software engineering best practices
- Understanding of deep learning architectures and statistical analysis
- Willingness to work closely with wet lab researchers, biophysicists, and domain experts
- Genuine interest in bridging AI/ML with biomedical applications
- Strong communication skills for explaining computational concepts to non-CS audiences
- Comfort working in interdisciplinary research environments
- Self-motivated with strong problem-solving abilities
- Strong oral and written communication skills.
Key responsibilities will include but are not limited to:
Qualifications:
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