Scientific Software Engineer; Data Science & AI Institute

Overview

The Johns Hopkins Data Science and AI Institute (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 (JHU). The Center is part of the Virtual Institute for Scientific Software (VISS), launched by Schmidt Futures.

VISS will address the growing demand for high-quality professional software engineers who can build dynamic, scalable, open software to facilitate accelerated scientific discovery across fields. The SSEC will be hosted by the Institute of Data Intensive Engineering and Science (IDIES) at JHU within DSAI, a pan-institutional initiative to advance artificial intelligence and its applications, in part through investments in software engineering, data science, and machine learning.

The SSEC engineers will be at the forefront of modern data-intensive science where high-level software is a key ingredient for success. The DSAI initiative includes building out a substantive software engineering capability and increasing infrastructure in hardware and personnel. JHU has long been a world leader in medicine, public health, and a wide range of science and engineering fields, with a focus on global impact through large scientific data sets and data resources.

• The successful candidates will be given a choice of ground-breaking research projects that require advanced software solutions and expertise in software engineering not commonly found in scientific collaborations.
• Projects may require the creation of AI/ML solutions using the latest DNN libraries trained on state-of-the-art hardware.
• Projects may 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 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 meet industry standards (quality, reusability, robustness, portability, documentation, etc.).
• It is a high-level goal of the SSEC to translate the efforts from individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects.

• Masters in a quantitative discipline (e.g., Computer Science, Engineering, Astrophysics, Bioinformatics) with strong scientific computing and/or mathematics background.
• Three or more years of experience in software development and/or data science on large projects in industry.
• Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma, as permitted by the JHU equivalency formula.

• PhD in a quantitative discipline.
• Five or more years of experience in software development and/or data science in industry.
• Experience with translating business/application questions into software and statistical techniques using available data.
• Demonstrated leadership and self-direction.
• Willingness to teach others and learn new techniques.
• Demonstrated skills in selecting appropriate tools for data analysis problems.
• Effective written and verbal communication skills.

Notes:
Classified

Title:

Scientific Software Engineer.

Location:

Hybrid/Homewood Campus.

Schedule:

37.5 hrs/wk, M-F. FLSA:
Exempt. Department: DSAI Institute. Whiting School of Engineering.