We are offering 5 positions for data scientists and software engineers with a strong academic background and at least 3 but preferably 5 years of relevant experience in industry.
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, a philanthropic initiative founded by Eric and Wendy Schmidt. 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. (See https://www.schmidtfutures.com/schmidt-futures-and-leading-research-universities-launch-software-engineering-centers-to-accelerate-scientific-discovery/ for more information on the VISS.) The SSEC will be hosted by the Institute of Data Intensive Engineering and Science (IDIES) at JHU within AI-X, a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space.
The SSEC engineers will be at the forefront of modern data intensive science, where high-level software is rapidly becoming the key ingredient for success. The AI-X initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHU's Coronavirus Resource Center - the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the Center successful.
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.
The engineers will be JHU employees and will correspondingly enjoy the university's very substantial benefits including full medical insurance, JHU-level college tuition benefits for children after 2 years of full-time employment, flexibility, significant vacation benefits, and more. Embedded in one of the premier research institutions in the world, the successful candidates will be expected to participate in its academic life, including working with and potentially tutoring students.
Masters in a quantitative discipline, e.g. computer science, engineering, astrophysics, bioinformatics with strong scientific computing and/or mathematics background
3 years or more experience working in software development and/or data science in large projects in industry
PhD in a quantitative discipline
5 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.
Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.