Search for NLP Data Scientist roles in Remote, focusing on Healthcare & Life Sciences, with a preference for candidates with 2+ years of experience in EHR and laboratory reports, proficiency in Python, and requiring a salary of at least $140,000.

Okay, I've searched for NLP Data Scientist roles in Remote, focusing on Healthcare & Life Sciences, with a requirement of 2+ years experience in EHR and laboratory reports, proficiency in Python, and a salary expectation of at least $140,000. I found 75 positions that fit your criteria.

NLP Data Scientist

Remote, United States

Healthcare & Life Sciences

2 years + Experience

$140000+

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

Sure. Here's the analysis:

Job Analysis:

The NLP & LLM Data Scientist role at Norstella is primarily aimed at leveraging advanced natural language processing techniques to enhance data-driven decision-making within the healthcare sector. This position is crucial for transforming unstructured medical data, such as Electronic Health Records (EHR) and laboratory reports, into actionable insights that can expedite the drug development process. Candidates will face the challenge of not only developing sophisticated NLP models but also collaborating effectively with clinical scientists to ensure the technical solutions align with healthcare realities. Success in this role will manifest as the ability to produce reliable, accurate models that contribute to life-saving therapies' faster market entry, firmly placing the candidate at the intersection of technology and healthcare innovation. A keen understanding of both the technical aspects of data science and the nuances of clinical data will be indispensable, alongside strong communication skills to convey complex findings to stakeholders.

Company Analysis:

Norstella occupies a pivotal space in the healthcare and pharmaceutical intelligence industry, serving as a nexus for organizations seeking to streamline the drug development process. Given its status as one of the largest global providers in this sector, the role of an NLP Data Scientist is strategically significant; it reflects the company’s commitment to innovation and improving patient outcomes. Culture-wise, Norstella emphasizes a mission-first approach, which suggests a dynamic and passionate workplace focused on making a tangible impact. This role functions within a collaborative environment that prioritizes resilience and kindness, fostering a team where continuous learning is encouraged. The company is set against a backdrop of rapid advancements in AI and machine learning in healthcare, creating opportunities for the candidate to influence the company's strategic direction while ensuring alignment with its overarching therapeutic goals. Advocating for diversity and equal opportunities, Norstella nurtures a culture where varied perspectives are valued, which may enhance the collaborative approach required for success in this role.

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 had to overcome a technical challenge in a project. What was the challenge and how did you resolve it?
Describe an experience where you successfully communicated complex data findings to a non-technical audience. How did you ensure their understanding?
Can you share a situation where you had to collaborate with medical professionals to achieve a project goal? What steps did you take to ensure effective communication?
How would you approach developing a Large Language Model for analyzing clinical data? What specific methodologies would you implement?
What strategies do you use to validate the accuracy and reliability of insights derived from NLP processes?
How would you handle discrepancies you find between your data analysis and clinical insights shared by scientists?
Imagine you're presented with unstructured medical notes that need to be analyzed for key insights. What steps would you take to begin this process?
If you were tasked with improving the efficiency of an existing NLP model, how would you identify areas for enhancement?
Why are you interested in working at Norstella specifically, and how do you see yourself contributing to our mission?
What aspects of our company culture resonate with you, and how do you believe they align with your work style?
Given that we prioritize innovation in drug development, how do you stay updated on the latest advancements in data science and healthcare?
What is one question you would have about our current use of NLP technologies in the context of healthcare?
How do you envision the integration of machine learning principles into healthcare data processes at Norstella?

Job Details

Overview Company

NLP & LLM Data Scientist

$140k/y-$200k/y

Lensa

a day 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 advance drug development and patient care.

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, 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, 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 like PyTorch and TensorFlow.
Experience with AWS cloud environment and large databases, and managing ML lifecycle using open-source tools.

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 Retrieval-Augmented Generation (RAG) 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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Richmond, VA