
NLP Research Specialist
1 day ago
Job Title: NLP Research Specialist
Role Description:
As a key member of our R&D team, you will explore and implement state-of-the-art LLM architectures tailored to healthcare and oncology text.
Key Responsibilities:
- Drive innovative proof-of-concepts from rapid iterations to rigorous experimental evaluations on clinical-text tasks.
- Collaborate closely with production teams to hand off scalable prototypes demonstrating clear performance gains.
- Develop novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
- Design evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
- Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
- Present findings in regular research seminars and contribute to internal or external publications.
Requirements:
- Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI/ML, or a related field.
- 2–3 years of professional R&D experience in NLP or ML research roles.
- Strong Python skills and deep familiarity with PyTorch or TensorFlow.
- Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
- Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks.
- Familiarity with building retrieval-augmented generation pipelines.
- Hands-on experience with LLM fine-tuning using LoRA and SFT methods.
- Solid understanding of experimental design, ablation studies, and statistical significance testing.
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