Job Description

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.  
- 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.

Qualifications

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.  
- 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.

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Job Description

We are looking for an exceptional full-stack software engineer to join a growing team and take on building web services and apps for John Snow Labs NLP libraries. The right candidate will have substantial proven hands-on experience with Python 3, JavaScript or TypeScript; deep understanding of full-stack and client-side web development, working knowledge of existing tools and frameworks for UI development, and a passion for high-quality code and design.

Mush haves:
- Strong knowledge and practice of writing reliable web applications.
- Experience with Python 3, backend frameworks, and distributed task queues.
- Teamwork practices (git flows, code reviews, issue trackers).
- Experience with Docker and Kubernetes.
- Familiarity with CI/CD and automated testing.
- Passion about user experience.
- Experience with running software in a Linux environment.
- Interest in modern technologies and desire to learn something new.

Good to have:
- A GitHub account with public contributions.
- Awareness about Spark and Jupyter notebooks.
- Frontend stack: JavaScript or TypeScript, HTML, CSS, building tools.

Also required is experience working in industry delivering production-grade software projects, working as part of an agile software team and using tools like GitHub and Docker.

If you are a good fit for this job, please include the words John Snow Labs in your response and explain why you are the right person for this job. This is potentially a full-time, long-term freelancing opportunity, with substantial opportunities to learn new technologies and grow your career.

Qualifications

Mush haves:
- Strong knowledge and practice of writing reliable web applications.
- Experience with Python 3, backend frameworks, and distributed task queues.
- Teamwork practices (git flows, code reviews, issue trackers).
- Experience with Docker and Kubernetes.
- Familiarity with CI/CD and automated testing.
- Passion about user experience.
- Experience with running software in a Linux environment.
- Interest in modern technologies and desire to learn something new.

Good to have:
- A GitHub account with public contributions.
- Awareness about Spark and Jupyter notebooks.
- Frontend stack: JavaScript or TypeScript, HTML, CSS, building tools.

Also required is experience working in industry delivering production-grade software projects, working as part of an agile software team and using tools like GitHub and Docker.

If you are a good fit for this job, please include the words John Snow Labs in your response and explain why you are the right person for this job. This is potentially a full-time, long-term freelancing opportunity, with substantial opportunities to learn new technologies and grow your career.

See more jobs at John Snow Labs

Apply for this job

Job Description

We are looking for a superstar data scientist, who is familiar and experienced with applying machine learning and deep learning in the area of healthcare. This role requires proven hands-on experience training and optimizing models, building production-ready inference pipelines in Python, performing exploratory data analysis & enrichment, and validating models for issues like bias, overfitting, and concept drift.

Since we primarily work in healthcare and life science, background in medicine, pharma, bioinformatics, or biostatistics is highly beneficial. A PhD degree in a relevant field is preferred.

Qualifications

The primary responsibilities will be working as part of a team in customer-facing projects - building models and machine learning, deep learning, natural language processing, and time series forecasting pipelines that address specific business needs. Working knowledge of Python and TensorFlow are a must; experience with Spark, Spark NLP, and other technology stacks is a big plus. The customer facing aspect of this role also requires strong oral & written communication skills.

We are looking for experts who are looking for long-term freelancing contracts, and wish to work on cutting-edge problems, learn and grow. This role for individuals who can commit at least 30 hours per week to this project. We are not able to consider agency or team applications.

This is a career opportunity that will enable you to expand your knowledge and experience of different tools and techniques, work within a team of big data and data science experts, and make a positive impact with your work. If you quality and are interested, please include the words 'John Snow Labs' in your cover letter and explain why you are the best fit for this role.

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Apply for this job