Natural Language Processing Data Scientist

VA Boston Healthcare System

Boston (MA)

On-site

USD 121,000 - 157,000

Full time

14 days+

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Benefits offered by this job

Dental insurance
Health insurance
Vision insurance
Life insurance
Paid time off
Retirement plan
Flexible spending account
Employee assistance program
Health savings account

Job summary

The VA Boston Healthcare System seeks a Natural Language Processing Data Scientist to lead information extraction from unstructured clinical text, develop NLP pipelines, and support research and clinical decision making.

You will collaborate with clinicians, oversee validated NLP datasets with Label Studio, and implement end-to-end data and algorithm pipelines while staying current with NLP/ML advances.

Qualifications

  • U.S. citizenship required; candidate must clear a U.S. government background check.
  • Degree in Mathematics, Statistics, Computer Science, Data Science or a directly related field.
  • Alternatively, a combination: 30 semester hours plus additional relevant education/experience.

Responsibilities

  • Lead the design and deployment of advanced information extraction and analysis within a healthcare setting, applying Python based NLP methods.
  • Oversee creation and governance of validated NLP datasets using Label Studio, ensuring high data quality across the project lifecycle.
  • Develop, maintain, and optimize end to end data and algorithm pipelines, following data science lifecycle best practices.
  • Improve NLP and data science infrastructure by creating reusable code and resources for researchers, engineers, and clinicians.
  • Collaborate with clinicians and data teams to guide research initiatives, offering expert NLP insights to meet complex clinical needs.
  • Prioritize and manage multiple projects concurrently, monitoring progress and delivering milestones on schedule.
  • Communicate findings through written reports, presentations, and manuscripts tailored to technical and non technical audiences.
  • Stay current with developments in NLP, ML, and data science and apply best practices to raise the impact of research and analytics activities.

Skills

Python
NLP
Data analysis

Education

Bachelor's or higher in Mathematics/Statistics/CS/Data Science

Tools

Label Studio
SQL
Git/Github
GPT-OSS
Llama
Mixtral

Job description

This onsite role in Boston, MA offers a competitive salary and a comprehensive benefits package within the VA Boston Healthcare System. The annual compensation ranges from USD 120,548 to 156,718, with benefits designed to support work-life balance, health and financial security.

Benefits
  • Dental insurance
  • Employee assistance program
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Retirement plan
  • Vision insurance

The Natural Language Processing Data Scientist role focuses on information extraction from unstructured clinical text, NLP data curation, and building NLP pipelines to support research and healthcare decisions.

Responsibilities
  • Lead the design and deployment of advanced information extraction and analysis within a healthcare setting, applying Python based NLP methods.
  • Oversee creation and governance of validated NLP datasets using Label Studio, ensuring high data quality across the project lifecycle.
  • Develop, maintain, and optimize end to end data and algorithm pipelines, following data science lifecycle best practices.
  • Improve NLP and data science infrastructure by creating reusable code and resources for researchers, engineers, and clinicians.
  • Collaborate with clinicians and data teams to guide research initiatives, offering expert NLP insights to meet complex clinical needs.
  • Prioritize and manage multiple projects concurrently, monitoring progress and delivering milestones on schedule.
  • Communicate findings through written reports, presentations, and manuscripts tailored to technical and non technical audiences.
  • Stay current with developments in NLP, ML, and data science and apply best practices to raise the impact of research and analytics activities.
Requirements
  • U.S. citizenship is required and the candidate must clear a U.S. government background check.
  • Degree in Mathematics, Statistics, Computer Science, Data Science or a directly related field; the major should be suitable for the position at the bachelor level or higher.
  • Alternatively, a combination of education and experience can satisfy the requirement: courses totaling 30 semester hours in the major field plus additional relevant education or experience.
Technologies
  • Python
  • Label Studio
  • SQL
  • Git/Github
  • GPT-OSS
  • Llama
  • Mixtral
Note

Reference OPM classification standards: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

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