The Johns Hopkins University
Research Software Engineer – Clinical NLP Specialty (Data Science and AI Institu
The Johns Hopkins University, Baltimore, Maryland, United States, 21276
Research Software Engineer – Clinical NLP Specialty (Data Science and AI Institute)
The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI seeks a
Research Software Engineer - Clinical NLP Specialty
with strong academic background and relevant experience in industry or academia focused on designing and building state-of-the art clinical NLP systems. This position supports research initiatives in the development and novel application of NLP and large language models to extract insights from unstructured clinical text using techniques such as named entity recognition (NER), negation detection, structured data extraction, diagnosis prediction, risk stratification, temporal reasoning and phenotyping. Specific Duties & Responsibilities Participate in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. Develop state-of-the art clinical NLP solutions using the latest deep learning libraries trained on state-of-the-art hardware in secure healthcare computing environments. Analyze massive data sets either in the cloud or on premises. Develop novel NLP software pipelines for processing of unstructured clinical notes. Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. Develop software solutions from scratch or refactor existing solutions to make them conform to industry standards. Translate efforts for individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Special knowledge, skills, and abilities Strong NLP, LLM, machine learning and deep learning skills. Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. Expert-level knowledge of multiple modern NLP and LLM libraries and models. Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications. Demonstrated expertise in prompt engineering, evaluation, and benchmarking of large language models. Expert-level knowledge of the Python programming language. Familiarity with software containerization technologies such as Docker and Singularity. Familiarity with the Databricks platform. Fluency in the Linux operating system and related tools. Familiarity with modern software engineering best practices. Excellent verbal and written communication. Minimum Qualifications Masters in a quantitative discipline such as computer science, engineering, physics or bioinformatics, with strong scientific computing and/or mathematics background. Three year's experience working in software development in large clinical NLP projects in industry or academia. Preferred Qualifications PhD in a quantitative discipline. Five (5) years’ experience as above in clinical NLP. Experience in CUDA GPU programming. Experience authoring open-source Python packages in PyPI. Experience in open-source project governance. Experience in open-source community adoption initiatives. Johns Hopkins University is an equal opportunity employer and welcomes applications from diverse candidates. The university is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice.
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The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI seeks a
Research Software Engineer - Clinical NLP Specialty
with strong academic background and relevant experience in industry or academia focused on designing and building state-of-the art clinical NLP systems. This position supports research initiatives in the development and novel application of NLP and large language models to extract insights from unstructured clinical text using techniques such as named entity recognition (NER), negation detection, structured data extraction, diagnosis prediction, risk stratification, temporal reasoning and phenotyping. Specific Duties & Responsibilities Participate in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. Develop state-of-the art clinical NLP solutions using the latest deep learning libraries trained on state-of-the-art hardware in secure healthcare computing environments. Analyze massive data sets either in the cloud or on premises. Develop novel NLP software pipelines for processing of unstructured clinical notes. Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. Develop software solutions from scratch or refactor existing solutions to make them conform to industry standards. Translate efforts for individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Special knowledge, skills, and abilities Strong NLP, LLM, machine learning and deep learning skills. Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. Expert-level knowledge of multiple modern NLP and LLM libraries and models. Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications. Demonstrated expertise in prompt engineering, evaluation, and benchmarking of large language models. Expert-level knowledge of the Python programming language. Familiarity with software containerization technologies such as Docker and Singularity. Familiarity with the Databricks platform. Fluency in the Linux operating system and related tools. Familiarity with modern software engineering best practices. Excellent verbal and written communication. Minimum Qualifications Masters in a quantitative discipline such as computer science, engineering, physics or bioinformatics, with strong scientific computing and/or mathematics background. Three year's experience working in software development in large clinical NLP projects in industry or academia. Preferred Qualifications PhD in a quantitative discipline. Five (5) years’ experience as above in clinical NLP. Experience in CUDA GPU programming. Experience authoring open-source Python packages in PyPI. Experience in open-source project governance. Experience in open-source community adoption initiatives. Johns Hopkins University is an equal opportunity employer and welcomes applications from diverse candidates. The university is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice.
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