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Inside Higher Ed · 12 hours ago

Scientific Software Engineer (Data Science & AI Institute)

Baltimore, MD

Full-time

Hybrid

Mid, Senior Level

3+ years exp

The Johns Hopkins Data Science and AI Institute (DSAI) is focused on revolutionizing discovery by advancing artificial intelligence. They are seeking a Scientific Software Engineer to work on groundbreaking research projects that require advanced software solutions, particularly in AI and data science.

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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

Software DevelopmentData ScienceAI/ML SolutionsQuantitative DisciplineStatistical TechniquesTeaching OthersTool SelectionLeadershipCommunication Skills

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