The Johns Hopkins University · 2 hours ago
Scientific Software Engineer ( Data Science & AI Institute)
Baltimore, MD
Full-time
Hybrid
Mid, Senior Level
3+ years expThe Johns Hopkins Data Science and AI Institute (DSAI) is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence. The Scientific Software Engineer will work on advanced software solutions for research projects, potentially involving AI/ML solutions, massive data set analysis, and the creation of software pipelines for scientific data processing.
EducationHigher EducationInformation Technology
Responsibilities
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
Qualification
Required
Masters in a Quantitative Discipline, e.g., Computer Science, Engineering, Astrophysics, Bioinformatics with strong scientific computing and/or mathematics background
Three (3) years or more experience working in software development and/or data science in 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/graduation equivalent, to the extent permitted by the JHU equivalency formula
Preferred
PhD in a quantitative discipline
Five years or more experience working in software development and/or data science in industry
Experience with articulating and translating business/application questions and translating these into software and statistical techniques to arrive at an answer using available data
Demonstrated leadership and self-direction
Willingness to both teach others and learn new techniques
Demonstrated skills in selecting the right tools given a data analysis problem
Effective written and verbal communication skills
Company
The Johns Hopkins University
Johns Hopkins University is a research university that enrolls full and part-time students throughout nine academic divisions.
10001+ employees
H1B Sponsorship
The Johns Hopkins University has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (495)
2024 (428)
2023 (348)
2022 (354)
2021 (246)
2020 (210)
Funding
Current Stage
Late StageTotal Funding
$207.96MKey Investors
National Highway Traffic Safety AdministrationFoundation for Opioid Response EffortsAdvanced Research Projects Agency for Health
2025-05-07Grant
2025-03-27Grant· $0.56M
2024-08-15Grant· $20.9M
Leadership Team
Beth Blauer
Vice President Public Impact Initiatives
Alexander Baras
Associate Professor of Pathology, Urology, and Oncology at Johns Hopkins
Recent News
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