Data Scientist III Clinical Text & EHR Data Lead

Full-time

Description

Position Details:

Job Title: Data Scientist III – Clinical Text & EHR Data Lead

Job Type: Full-time

Location: Gainesville, Florida - Onsite

Revised: 8/18/2025

Dynanet Corporation Overview:

Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The company’s efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly. While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology – it’s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future.

About the Role:

This position supports a federally funded, interdisciplinary research initiative based in the Computational Microscopy Imaging Lab (CMIL). The project unifies clinical, imaging, and molecular data to develop predictive models of disease progression. The Data Scientist III – Clinical Text & EHR Data Lead is responsible for developing pipelines that extract and harmonize structured and unstructured patient data, including NLP-based processing of clinical notes. This role supports data preparation, temporal alignment, and integration of clinical features into a multimodal AI research platform.

Requirements

Roles & Responsibilities:

ESSENTIAL FUNCTIONS OF THE JOB AND THE PERCENTAGE OF TIME SPENT ON EACH FUNCTION:

NLP Pipeline Development and Text Analysis – 35%

• Build and maintain pipelines using tools such as MedSpaCy, 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.

MARGINAL FUNCTIONS OF THE JOB AND THE PERCENTAGE OF TIME SPENT ON EACH FUNCTION

Technical Reporting and Communication – 5%

• Support preparation of project reports, presentations, or grant documentation by summarizing clinical text and EHR pipeline processes.
• Assist with visualization or slide preparation for updates to stakeholders or funders.

Tool Evaluation and Pipeline Optimization – 5%

• Evaluate and test emerging NLP tools or data harmonization strategies relevant to EHR and clinical text data.
• Test and recommend integration of tools that enhance processing speed, reproducibility, or analytic depth.

Dynanet Team Requirements and Expectations:

• Possess Strong written and verbal communication skills.
• Highly organized with an ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment.
• Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with.
• Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve.
• Excellent judgment and creative problem-solving skills.
• Respond to team member and client requests via email, MS teams, or other communication means during core business hours.
• Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers.

Education/Experience Requirements:

• 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 MedSpaCy 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.

Employee Benefits Overview:

• Industry Competitive Compensation
• Medical and Dental Insurance
• Paid Time Off/Holidays
• 401(k) Retirement Plans with Matching
• Paid Training
• Employee Referral Program
• Employee Development Program