John Snow Labs is hiring a

Senior NLP Data Science Researcher (PhD Required, US-based only)

Contractor
Remote

About the Role: Join our team as a Senior NLP Data Science Researcher, where you'll apply advanced Generative AI, LLM, and NLP methods in novel Healthcare projects. This customer-facing role demands a blend of excellent technical prowess, research expertise, and communication skills, with a focus on training and optimizing NLP/LLM models, creating robust Python-based inference pipelines, and conducting thorough data analysis and model validation.

Key Qualifications:
- PhD Degree: Must possess a PhD in Computer Science, Bioinformatics, Statistics, Medicine, Life Sciences, or a related field. A strong academic publishing track record is preferred.
- NLP & LLM Expertise: Demonstrable hands-on development experience in Natural Language Processing and Large Language Models (LLM).
- Software Engineering: Proven experience in coding, software design, and data science is essential. Substantial hands-on expertise with the Python ecosystem of AI libraries is required.
- Data Analysis Acumen: Skilled in exploratory data analysis, data preparation for ML/AI, and statistical evaluation of ML models.
- Communication: Exceptional oral and written communication skills, including in customer facing interactions.
- Research and Publication Skills: Proven ability to take the lead in writing scientific publications. Must have publications from LLM & NLP.
- US Residency: Must be a resident of the United States.

Desirable Skills:
- Production-Grade ML Pipeline Development: Experience in building and managing production-level text processing pipelines, MLOps and LLMOps workflows and tools.
- Technology Proficiency: Familiarity with PyTorch, Spark, Databricks, LangChain, Spark NLP, cloud API’s (AWS, Azure, etc.), and development tools (GitHub, MLFlow, Docker, etc.) is a plus.
- Healthcare Background: A background in medicine, pharma, bioinformatics, or biostatistics is highly advantageous.

The Opportunity: We offer long-term freelance contracts for professionals eager to tackle cutting-edge problems, learn and build your career as part of a world-class team. This role requires a minimum commitment of 30 hours per week and is open to individual applicants only (no agencies or teams, please). 100% remote position.

What We Offer:
- Career Growth: This is a career-defining opportunity that promises to expand your skill set and experience with various tools and techniques.
- Collaborative Environment: Work within a team of clinical and data science experts to make a significant impact.
- State of the Art Technology: Contribute to advancing the state of the art of Healthcare AI, including contributions to open-source projects and peer-reviewed papers.
- Learning and Culture: Opportunities for professional development through knowledge exchange within a global AI community.

Application Process: Qualified and interested candidates should apply by submitting a resume, a list of peer-reviewed publications, and public examples of software code or past projects.

What John Snow Labs offers:

The Opportunity: We offer long-term freelance contracts for professionals eager to tackle cutting-edge problems, learn and build your career as part of a world-class team. This role requires a minimum commitment of 30 hours per week and is open to individual applicants only (no agencies or teams, please). 100% remote position.

What We Offer:
- Career Growth: This is a career-defining opportunity that promises to expand your skill set and experience with various tools and techniques.
- Collaborative Environment: Work within a team of clinical and data science experts to make a significant impact.
- State of the Art Technology: Contribute to advancing the state of the art of Healthcare AI, including contributions to open-source projects and peer-reviewed papers.
- Learning and Culture: Opportunities for professional development through knowledge exchange within a global AI community.

Application Process: Qualified and interested candidates should apply by submitting a resume, a list of peer-reviewed publications, and public examples of software code or past projects.

 

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