Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer and sought-after GenAI role, but seniority and life‑sciences specialization moderate applicant density.
Strong life‑sciences, clinical trials, and FDA/LIMS requirements make background fit highly domain‑specific.
Explicit 10+ years and 7+ years ML/NLP plus clinical and regulatory mandates enforce strict shortlisting.
Design, develop, and deploy advanced GenAI and NLP solutions using transformer models, LLMs, and vector search technologies focused on healthcare and life-science domains.
Lead integration and optimization of Retrieval-Augmented Generation systems and agentic AI workflows to improve healthcare data processing and decision-making.
Mentor junior AI/ML engineers, collaborate cross-functionally to translate business AI opportunities into scalable technical solutions, and ensure high-quality production deployments with attention to reliability and safety.
Bachelor's degree or higher in computer science or engineering with a focus on language processing.
10+ years overall experience, including 7+ years in AI, ML, and/or NLP R&D; PhD holders may have experience requirement relaxed.
Experience in Clinical Trials, FDA Dossier Preparation, Drug Discovery, Lab Information Management Systems, Lab Diagnostics, or related AI enablement in life sciences/diagnostics.
Proficiency in Python, R, SQL; experience with GPU, repository management, and cloud platforms like Azure, AWS, or GCP.
Deep expertise in applying AI/ML, especially GenAI and NLP, to healthcare or life-sciences use cases involving structured and unstructured data.
Experience leading research and production deployment of complex AI systems and mentoring technical teams in fast-evolving AI technologies.
Skilled at cross-disciplinary collaboration between data engineering, product, and domain experts to implement impactful AI solutions in regulated environments.