Research Software Engineer

Company: Quality Control Specialist - Pest Control
Location: Baltimore
Posted on: June 2, 2025

Job Description:

The Johns Hopkins Data Science and AI Institute (DSAI) is 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. 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 state-of-the 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 short-term service engagements to large, multiyear AI and data science initiatives and applications. DSAI will address the growing demand for high-quality 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 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., JHUs 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 DSAI successful.

Specific Duties & Responsibilities

• The successful candidates will participate in 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 deep learning 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 novel data science techniques, 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, efficiency, reusability, robustness, portability, documentation, etc.).
• It is a high-level 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
  
  • Expert-level knowledge of the Python programming language.
  • Expert-level 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, test-driven development, build automation and continuous integration / continuous delivery.
  • Familiarity with cloud development and deployment.
  • Demonstrated leadership and self-direction.
  • 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.
    
    Minimum Qualifications
    
    • 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 state-of-the-art 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 state-of-the-art 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 real-time data streaming architectures
              
              Preferred Qualifications
              
              • PhD in a quantitative discipline.
              • Five (5) years' experience as above in either AI/ML or data science concentration.
              • Experience developing, training, fine-tuning 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 open-source Python packages in PyPI.
              • Experience in open-source project governance.
              • Experience in open-source 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: $150,000 - $200,000 annually (Commensurate with experience)
                Employee group: Full Time
                Schedule: 37.5 hrs/wk, M-F
                FLSA Status: Exempt
                Location: Homewood Campus
                Department name: DSAI Institute
                Personnel area: Whiting School of Engineering
                
                Salary Range
                
                The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
                
                Total Rewards
                The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: .
                
                Education and Experience Equivalency
                Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
                
                Applicants Completing Studies
                Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
                
                Background Checks
                The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
                
                Diversity and Inclusion
                The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the .
                
                Equal Opportunity Employer
                
                The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
                
                Equal Opportunity Employer
                All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
                
                EEO is the Law
                
                
                Accommodation Information
                If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit .
                
                Vaccine Requirements
                Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the . Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit and all other JHU applicants should visit .
                
                The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
                The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
                
                Hybrid: On-site 3-4 days a week
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Keywords: Quality Control Specialist - Pest Control, Dundalk , Research Software Engineer, IT / Software / Systems , Baltimore, Maryland