Clinical Data Scientist; NLP
Listed on 2026-07-01
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Data Engineering
Clinical Data Scientist (NLP)
About the Job Duration: 12-month contract with possibility of extension
Work Location:
Gainesville, FL 32611 Job: 25-03148 Scope of work NLP Pipeline Development and Text Analysis – 35% Build and maintain pipelines using tools such as Med Spa Cy , cTAKES, or similar to extract structured variables from clinical notes. Tune entity recognition, concept mapping, and negation detection to support patient-level feature generation. Document pipeline logic and validation metrics. Structured EHR Feature Engineering – 25% Develop tools to extract, clean, and organize structured EHR variables (e.g., labs, medications, diagnoses).
Apply clinical standards (e.g., OMOP, FHIR) to support semantic consistency and cross-site interoperability. Transform EHR data into research-ready formats aligned with modeling needs. Temporal Alignment and Multimodal Integration – 20% Align clinical events with imaging and biopsy timelines to enable time-resolved analysis. Support the construction of longitudinal patient records for AI model training and validation. Troubleshoot data conflicts, gaps, and synchronization issues.
Collaboration and Data Stewardship – 15% Liaise with institutional data providers to ensure accurate, secure data transfers. Contribute to protocol development and maintain clear analytic traceability. Communicate updates and collaborate across project teams and external sites. Mentorship and Innovation Support – 5% Provide informal guidance to student researchers or junior analysts. Recommend new tools or analytic methods to improve pipeline performance.
Level: Intermediate Skills Master's degree in bioinformatics, biomedical engineering, computer science, data science, or a related field and three years of relevant experience; or a doctoral degree and one year of experience.
Experience with NLP in the clinical domain using libraries like Med Spa Cy or cTAKES Knowledge of EHR data structures, standards, and interoperability frameworks (e.g., OMOP, FHIR) Familiarity with Python and clinical data integration tools Strong organizational skills and attention to reproducibility and versioning
Experience collaborating with clinical, data science, or research stakeholders About our Company Data Soft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, Data Soft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include:
Paid Holidays/Paid Time Off (PTO) Medical/Dental Insurance Vision Insurance Short Term/Long Term Disability Life Insurance 401 (K)
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