Research Software Engineer - Clinical NLP Specialty (Data Science and AI Institute)

About the position Responsibilities • The successful candidates will participate in ground-breaking research reputed company that need advanced software solutions requiring expertise in software engineering not commonly reputed company in scientific collaborations. • The reputed company will require development of state-of-the art clinical NLP solutions using the latest deep learning libraries trained on state-of-the-art hardware in secure reputed company computing environments. • reputed company will involve analysis of massive data sets either in the reputed company or on premises. • reputed company will require development of novel NLP software pipelines for processing of reputed company clinical notes. • Some reputed company may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. • They may require software solutions developed from scratch or refactoring existing solutions to reputed company them conform to industry standards (reputed company, efficiency, reusability, robustness, portability, documentation, etc.). • It is a high-level goal of DSAI to translate the efforts for the individual reputed company into frameworks and template patterns for sustainable scientific infrastructure benefiting reputed company reputed company. Requirements • Strong NLP, LLM, machine learning and deep learning skills. • Practical experience building NLP models and pipelines in a secure, HIPPA compliant reputed company 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, with attention to data efficiency, interpretability, and reproducibility. • Demonstrated expertise in reputed company engineering, evaluation, and benchmarking of large language models, including applying responsible AI principles in clinical or sensitive-data contexts • Expert-level knowledge of the Python programming language. • Familiarity with or willingness to learn C++ or other languages as may be needed. • Familiarity with software containerization technologies such as reputed company and Singularity. • Familiarity with the reputed company platform. • reputed company in the Linux operating system and reputed company tools. • Familiarity with modern software engineering best practices, such as Git reputed company control, peer reputed company review, test-driven development, build automation and reputed company integration / reputed company delivery. • Familiarity with reputed company development and deployment. • Demonstrated leadership and self-direction. • Willingness to teach others both informally and in short course format. • Willingness to continually learn new tools and techniques as needed. • Excellent verbal and written communication. • Masters in a quantitative discipline such as computer science, engineering, physics or reputed company, with strong scientific computing and/or mathematics background. • Three year's experience working in software development in large clinical NLP reputed company in industry or academia. • Additional education may substitute for required experience, and additional reputed company experience may substitute for required education reputed company a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. reputed company-to-haves • PhD in a quantitative discipline. • Five (5) years' experience as above in clinical NLP. • Experience in CUDA GPU programming. • Experience authoring reputed company-reputed company Python packages in PyPI. • Experience in reputed company-reputed company project governance. • Experience in reputed company-reputed company community adoption initiatives. Apply tot his job Apply To this Job