Research Software Engineer 117509

The Johns Hopkins Data Science and AI Institute (DSAI) is a new paninstitutional 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. 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 and the world in which we live. DSAI will bring together the mathematical computational and ethical foundations of AI with the domains of Health & Medicine Scientific Discovery Engineered Systems Security & Safety and People Policy & Governance.

DSAI seeks multiple Research Software Engineers with strong academic backgrounds and relevant experience in industry focused on designing and building stateofthe art AI models data science techniques and applications of each to diverse domains. The successful candidates will work at the cutting edge of modern science in collaboration with DSAI affiliated faculty at Johns Hopkins University (JHU) on projects ranging from consulting and shortterm service engagements to large multiyear AI and data science initiatives and applications. DSAI will address the growing demand for highquality professional software engineers within academia who can build dynamic scalable open software to facilitate accelerated scientific discovery across fields.

The DSAI engineers will be at the forefront of modern data intensive science where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the buildout of a substantive and professionalscale 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. JHUs Coronavirus Resource Center the awardwinning global resource for realtime data and analysis for COVID19 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 DSAI successful.

Specific Duties & Responsibilities

• The successful candidates will participate in groundbreaking 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 deep learning libraries trained on stateoftheart hardware.
• Projects may also involve analysis of massive data sets either in the cloud or on premises.
• They may require creation of novel data science techniques software pipelines for processing of realtime highfrequency 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 coauthorship 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 efficiency reusability robustness portability documentation etc..
• It is a highlevel goal of DSAI to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects.

Special knowledge skills and abilities

• Expertlevel knowledge of the Python programming language.
• Expertlevel knowledge of multiple modern AI/ML vision NLP bioinformatics and/or mathematical or computational libraries.
• Familiarity with or willingness to learn C or other languages may be needed.
• Familiarity with software containerization technologies such as Docker and Singularity.
• Familiarity with RESTful web service principles and development.
• Familiarity with SQL and relational database principles and development.
• Fluency in the Linux operating system and related tools.
• Familiarity with modern software engineering best practices such as Git source control peer code review testdriven development build automation and continuous integration / continuous delivery.
• Familiarity with cloud development and deployment.
• Demonstrated leadership and selfdirection.
• Willingness to teach others both informally and in short course format.
• Willingness to continually learn new tools and techniques as needed.
• Excellent verbal and written communication.

• Masters in a Quantitative Discipline such as Computer Science Engineering Physics or Bioinformatics with strong scientific computing and/or mathematics background.

• Three 3 years experience working in software development in large projects in industry.

• Concentration and three 3 years experience in development and application of AI/ML or data science as described below.

• For AI/ML concentration experience designing developing training and applying stateoftheart AI/ML models and/or generative AI to practical applications such as vision NLP bioinformatics chemical discovery medical diagnostics robotics anomaly detection recommendation systems and time series analysis.

• For data science concentration experience designing developing and applying stateoftheart data science techniques to the analysis of large data sets. Areas of relevant expertise include design and development of statistical and mathematical models of data data transformation ETL and information extraction data modeling of complex scientific datasets architectures for computing with large datasets distributed computational pipelines and realtime data streaming architectures

• PhD in a quantitative discipline.
• Five 5 years experience as above in either AI/ML or data science concentration.
• Experience developing training finetuning and applying LLMs and/or foundational models.
• Experience deploying AI models onto clinical platforms.
• Experience with large scale scientific simulations or simulations of air/terrestrial/sea vehicles.
• Familiarity with data formats common in scientific domains such as medical imaging genomic sequences proteins chemical structures geospatial oceanographic and heath record data.
• Experience in CUDA GPU programming.
• Experience authoring opensource Python packages in PyPI.
• Experience in opensource project governance.
• Experience in opensource community adoption initiatives.

Classified Title: Scientific Software Engineer
Job Posting Title (Working Title):Research Software Engineer
Role/Level/Range: APPTSTAF/01/ST
Starting Salary Range: $150000 $200000 annually (Commensurate with experience)
Employee group: Full Time
Schedule: 37.5 hrs/wk MF
FLSA Status:Exempt
Location:Homewood Campus
Department name: DSAI Institute
Personnel area: Whiting School of Engineering