Biomedical NLP Data Scientist (Hybrid)

Lexical Intelligence; Bethesda (MD); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Full health and dental for you and dep

Retirement plan

HSA accounts

Disability insurance

Life and accident insurance

Paid time off

11 federal holidays

Job summary

Lexical Intelligence seeks a Data Scientist to join a team working on NLP and biomedical informatics for APIs and analytics supporting policy decisions. The role emphasizes processing large biomedical data, model development, and knowledge extraction in a collaborative setting with researchers and healthcare professionals.

Required expertise includes machine learning, NLP, data visualization, and programming in Python/R/SAS, with a preference for advanced degrees and experience with cloud

Qualifications

• Master's degree in data science, statistics, computer science, or related fields.
• Experience processing, cleaning, and validating data integrity.
• Strong understanding of statistical analysis methods including regression analysis and predictive modeling.
• Proficiency with data visualization tools such as Tableau, Splunk, Google Analytics.
• Experience with programming languages such as Python, R, or SAS.
• Knowledge of machine learning and deep learning algorithms.

Skills

Data processing & cleaning

Statistical analysis & modeling

Machine learning & deep learning

NLP techniques

Data visualization concepts

Education

Master's degree in data science, statistics, computer science, or related fields

Ph.D. in data science, statistics, computer science, biomedical informatics, or related field

Tools

Tableau

Splunk

Google Analytics

Job description

Lexical Intelligence seeks a Data Scientist to join a team working on NLP and biomedical informatics for APIs and analytics supporting policy decisions. The role emphasizes processing large biomedical data, model development, and knowledge extraction in a collaborative setting with researchers and healthcare professionals.

Required expertise includes machine learning, NLP, data visualization, and programming in Python/R/SAS, with a preference for advanced degrees and experience with cloud