Position: Senior Research Engineer

Location: Bangalore

Working Days: Monday to Friday

Experience Required: 4-7 years
GROWTH PATH

This is an individual contributor role with solid ownership expectations. High performers may be considered for workstream lead or functional lead responsibilities after approximately 12 months (6 months for exceptional candidates), based on demonstrated ownership, delivery, technical judgment, mentoring, cross-functional influence, and ability to reduce dependency on the Director of ML.
ABOUT THE ROLE

We are looking for a Senior Research Engineer to build applied ML and LLM systems for oncology-focused clinical information extraction, real-world evidence workflows, patient-trial matching, registry/QI abstraction, and clinical data products. This is a hands-on role for someone who can move between research, prototyping, evaluation, and production collaboration.

You will work on extracting structured, evidence-backed information from complex longitudinal clinical records such as notes, pathology reports, molecular reports, imaging reports,



scanned documents, and other oncology data sources. You will partner closely with Research Engineers, Clinical AI Data Specialists, ML Evaluation Engineers, MLOps/Data Engineers, and clinical experts.
WHAT YOU WILL DO
- Design and implement LLM/NLP-based information extraction systems for oncology and RWE use cases.
- Build and improve pipelines for entity extraction, normalization, summarization, patient-trial matching, eligibility reasoning, and structured clinical abstraction.
- Explore prompting, fine-tuning, RAG, agentic workflows, constrained structured outputs, weak supervision, active learning, and hybrid ML/rule-based systems.
- Define experiments, baselines, ablations, error-analysis plans, and practical evaluation approaches.
- Collaborate with Clinical AI Data Specialists to convert clinical requirements into ML-feasible extraction tasks and labeling guidelines.
- Collaborate with ML Ev

📌 Senior Research Engineer (HSR Layout)
🏢 PinnacleU
📍 HSR Layout