Research Engineer, Applied ML
mid
via Ashby
About this role
ABOUT THE ROLE
We are looking for a Research Engineer to build applied NLP and LLM systems for healthcare and oncology workflows. You will work on real-world clinical text, information extraction, patient-trial matching, summarization, RWE abstraction, and structured outputs from clinical documents.
This role is ideal for someone who enjoys hands-on model development, experimentation, evaluation, and building practical ML systems that can eventually move toward production.
WHAT YOU WILL DO
- Build prototypes and production-oriented components for clinical information extraction and LLM workflows.
- Implement prompts, RAG pipelines, fine-tuning experiments, extraction logic, evaluation scripts, and error-analysis tools.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, less, emr, docker, pytorch…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonlessemrdockerpytorchhuggingfacetransformersllamaindexteams