> Markdown version of [/jobs/ext/1768608-clinical-data-scientist](https://www.wearedevelopers.com/jobs/ext/1768608-clinical-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Clinical Data Scientist - **Company:** Baylor Scott & White Health - **Location:** Springfield, IL, United States - **Experience:** Experienced - **Salary:** $90,000.0 - $140,462.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Unit Testing, Microsoft Azure, Big Data, Health Informatics, Clinical Data Repository, Cloud Computing, Continuous Integration, Information Engineering, Data Warehousing, Relational Databases, Decision Support Systems, EHealth, Information Extraction, Python (Programming Language), Machine Learning, Microsoft SQL Server, Natural Language Processing, Tensorflow, Azure Machine Learning, Software Engineering, SQL Databases, Systems Integration, Large Language Models, Snowflake, Generative AI, Keras, Pyspark, Information Technology, Software Version Control, Data Pipelines - **Published:** July 18, 2026 - **Apply:** https://dejobs.org/x/x/3CA6DD802A6F44E9B9D3E1790460392F/job/ ## About the Role * Master's degree in a quantitative field like computer science, engineering, statistics, mathematics, economics, or a related field. Significant demonstrated experience in the role. PhD preferred. * 3+ years of hands-on data scientist mathematical predictive modeling experience in a business environment or equivalent. * Proficiency in common language/tools for AI/ML - (e.g., Python/Pyspark, Keras, Tensorflow libraries, etc.). * Experience working in a cloud environment such as Azure, and their ML services. * Great social skills, like communication and partnership, are needed. This is due to interaction with analytics, intelligence, and cross-functional teams. * Know algorithms for advanced analytics, like binary classification, regression, Neural Networks, and Natural Language Processing. * Demonstrated knowledge of software engineering topics, including classes, functions, version control, CI/CD, and unit tests. * Technical expertise with many compute environments. * Experience working in EDW cloud technologies - Snowflake. * Proven experience in working with large datasets and relational databases (SQL)., * EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification * EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. ## Description The Clinical Data Scientist will collaborate closely with research teams to address complex and high-impact clinical challenges. The ideal candidate will be well-versed in Python and AI/ML frameworks and skilled with generative AI tools, with familiarity in software engineering. This expertise will support clinical research, inform decision-making, and drive improvements in patient outcomes., * Communication and Clinical Consulting: Translate complex data science and machine learning concepts into clear, actionable insights for clinicians, researchers, and non-technical stakeholders. Present data-driven findings to support clinical decision-making, research initiatives, and operational improvements. * OpenAI and Generative AI Applications: Design, develop, and deploy solutions leveraging large language models (LLMs), including OpenAI-based systems, to extract insights from unstructured clinical data. Build prompt-driven and programmatic pipelines for clinical text understanding, information extraction, summarization, and decision support. Ensure responsible and effective use of generative AI in healthcare and research settings. * Natural Language Processing and Generative AI: Design and implement NLP pipelines leveraging transformer architectures (e.g., Clinical BERT, ModernBERT) and large language models (LLMs, including OpenAI-based systems) to process clinical notes, imaging reports, and other unstructured EHR data. Develop explainable AI solutions to support clinical interpretation and research. * Medical Imaging and Multimodal Data Analysis: Apply machine learning techniques to imaging data (e.g., echocardiography, ECG, radiology reports) and integrate multimodal data sources to enhance disease detection, phenotyping, and predictive modeling. * Data Engineering and Pipeline Development: Design and maintain scalable data pipelines for clinical and research data, integrating diverse sources such as EHR * Data Collection and Optimization: Extract, clean, and analyze data from SQL-based systems (MS SQL Server) and cloud-based environments like Microsoft Azure. * Research and Innovation: Contribute to clinical research initiatives, including study design, model development, validation, and manuscript preparation. Stay current with advancements in AI/ML, clinical informatics, and digital health to continuously improve methodologies. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)