Search for NLP Data Scientist roles in remote positions, focusing on healthcare and life sciences, requiring at least a Master's degree and 2+ years of experience with NLP and large language models.

I've found several NLP Data Scientist roles for you in remote positions, focusing on healthcare and life sciences. Positions require a Master's degree and 2+ years of NLP experience, particularly with large language models. In total, I have located 128 relevant positions.

NLP Data Scientist

Remote, United States

Healthcare & Life Sciences

Master's

2 years + Experience

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of the NLP & LLM Data Scientist at Norstella primarily focuses on harnessing natural language processing techniques and large language models to enhance drug development through the analysis of unstructured medical data, such as Electronic Health Records (EHR) and laboratory reports. This position requires a candidate with a deep understanding of both machine learning and healthcare, as it involves collaboration with clinical and data scientists to build sophisticated NLP models that can expedite the drug development lifecycle. Candidates will face challenges such as ensuring data accuracy during preprocessing, validating insights to drive decision making, and effectively communicating complex findings to stakeholders. Success in this role would look like the seamless incorporation of NLP techniques that lead to actionable insights and improved patient outcomes, placing the candidate as a critical player in Norstella’s mission of delivering life-saving therapies to patients.

Company Analysis:

Norstella operates within the pharmaceuticals intelligence sector and stands at the intersection of technology and healthcare, aiming to streamline the drug development process. As a relatively new company formed in 2022, but backed by a long history dating back to 1939, Norstella is positioned as a growing disruptor with a commitment to innovative practices and cutting-edge data solutions. The company values boldness, integrity, and empathy, fostering a mission-first environment that emphasizes teamwork and communication. For someone in the NLP & LLM Data Scientist role, this culture implies a need for resilience and a passion for the mission, as challenges in this domain can be significant. The role sits within a team tasked with advancing data science initiatives, encouraging cross-functional collaboration, and aligning closely with strategic goals, such as launching new data-driven solutions and adhering to regulatory standards. A successful candidate will find themselves in a dynamic and impactful position, contributing to a larger vision of improving patient access to critical therapies.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you faced a significant challenge while working with unstructured data. How did you approach it?
Describe a project in which you used NLP techniques to solve a real-world problem. What were the outcomes?
Can you give an example of when you had to explain complex data findings to a non-technical audience? How did you ensure they understood?
How do you prioritize tasks when working on multiple projects with tight deadlines?
What specific NLP techniques do you find most effective for analyzing Electronic Health Records, and why?
How do you approach data cleaning and preprocessing when dealing with various data sources in healthcare?
Describe your experience with Large Language Models like LLama2 or BERT. How have you applied them in your previous roles?
Imagine you are tasked with developing an NLP model to extract insights from clinical notes. What steps would you take to ensure the model's effectiveness?
If you encounter discrepancies in your data findings, how would you handle this situation before presenting it to stakeholders?
Why are you interested in working at Norstella, and how do you align with our mission?
What aspects of Norstella's approach to drug development resonate most with you?
How do you see the role of AI in improving the accessibility of healthcare treatments?
What questions do you have about the team you would be working with?
Can you share how you stay up-to-date with the latest advancements in NLP and machine learning, especially in the context of healthcare?
What strategies do you use to manage your time and ensure productivity in a remote work environment?

Job Details

Overview Company

NLP & LLM Data Scientist

$140k/y-$200k/y

Lensa

3 days ago

Highlight

RemoteFull-time2+ yearsMid

Summary

Norstella is seeking an NLP & LLM Data Scientist - Healthcare & Life Sciences to join their team remotely in the United States. The role involves leveraging natural language processing and large language models to enhance real-world data-driven drug development.

About the Role

As an NLP & LLM Data Scientist, you will employ NLP and open-source Large Language Models to extract and interpret unstructured medical data. You will collaborate with clinical and data scientists to create efficient NLP models for healthcare, conduct data cleaning and validation, and present findings to stakeholders.

About You

Required:

Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related field.
2+ years of experience in handling and interpreting Electronic Health Records (EHR) and laboratory test results or genetic test results.
2+ years of experience in NLP with strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, and topic modeling.
1+ years of experience with open-source Large Language Models (Llama2/3, Mixtral, etc.), including prompt engineering, inference, and fine-tuning.
Proficiency in Python and SQL, with experience in NLP libraries such as NLTK, spaCy, Hugging Face Transformers, and deep learning libraries such as PyTorch and TensorFlow.
Experience with AWS cloud environment and large databases (e.g., AWS Redshift).
Experience in managing ML lifecycle using open-source tools (e.g., MLflow).
Excellent verbal and written communication skills.

Preferred:

Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA.
Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT.
Experience in RAG (Retrieval-Augmented Generation) and vector store for healthcare unstructured documents.

Benefits

Medical and prescription drug benefits
Health savings accounts or flexible spending accounts
Dental plans and vision benefits
Basic life and AD&D Benefits
401k retirement plan
Short- and Long-Term Disability
Paid parental leave
Paid time off

Lensa

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Dover, DE