Scientific Software Engineer; Data Science & AI Institute

Scientific Software Engineer (Data Science & AI Institute)

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The Johns Hopkins Data Science and AI Institute (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. DSAI seeks a Scientific Software Engineer with a strong academic background and relevant industry experience. The successful candidates will work at the cutting edge of modern science within the new Scientific Software Engineering Center (SSEC) at Johns Hopkins University.

The SSEC will be hosted by the Institute of Data Intensive Engineering and Science (IDIES) at JHU within DSAI.

• The successful candidates will be given a choice of ground‑breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations.
• The projects may require the creation of AI/ML solutions using the latest DNN libraries trained on state‑of‑the‑art hardware.
• Projects may also involve analysis of massive data sets either in the cloud or on premises.
• They may require creation of software pipelines for processing of real‑time high‑frequency data processing workflows and may need the design of complex database models for storing and disseminating scientific data sets.
• Some projects 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 make them conform to industry standards (quality, reusability, robustness, portability, documentation, etc.).
• It is a high‑level goal of the SSEC to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects.

• Master’s in a Quantitative Discipline (e.g., Computer Science, Engineering, Astrophysics, Bioinformatics) with a strong scientific computing and/or mathematics background.
• Three (3) years or more experience working in software development and/or data science in large industry projects.
• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high‑school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

• PhD in a quantitative discipline.
• Five years or more experience working in software development and/or data science in industry.
• Experience translating business/application questions into software and statistical techniques to arrive at an answer using available data.
• Demonstrated leadership and self‑direction.
• Willingness to teach others and learn new techniques.
• Demonstrated skill in selecting the right tools for a data analysis problem.
• Effective written and verbal communication skills.