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Open Positions on the IDIES Team

Below are all current opportunities for you to become part of our team at the Institute for Data-Intensive Engineering and Science (IDIES) at Johns Hopkins University.


To apply, visit the JHU employment portal at https://jobs.jhu.edu/, enter the requisition number, and submit your materials.

Sr. Programmer Analyst

IT@JH Technology Innovation Center (TIC) is seeking a Sr. Programmer Analyst who is responsible for maintenance, testing, documentation and support of Crunchr, a data science collaboration platform.

Specific Duties & Responsibilities

  • Triages support tickets and coordinate with Sr. System Engineers and the System Architect to address issues.
  • Helps maintain Linux VMs and the Kubernetes application deployment.
  • Builds, maintains and deploys base Docker images for use by the data science community.
  • Works with various APIs and databases in support of the system.
  • Coordinates the intake of software updates from the parent project (IDIES SciServer).

Specific Devices, Software, Projects

  • RHEL VMs.
  • NFS- mounted storage volumes.
  • Python (Jupyter Lab) and R (RStudio) Docker images.
  • Maria-DB/Microsoft SQL Server databases.

Scale/Size of Area, Project and/or System Supported 

  • The Crunchr platform provides on- demand collaboration and compute for medical researchers. This suite of tools includes a custom Docker orchestrator, managed storage and a granular access control system. There are currently over 1000 users and over 600 active Docker containers in use across the application, which currently spans seven VMs in production. A migration to a newer code base will support deployment in a hybrid environment, consisting of an AKS cluster integrating various existing VMs.

On-call requirements

  • 1 week every 2 months after trial period.

Special Knowledge, Skills, & Abilities

  • Must demonstrate strong critical thinking and analytical reasoning skills.
  • Ability to work on multiple priorities effectively.
  • Ability to prioritize conflicting demands.
  • Ability to execute assigned project tasks within established schedule.
  • Ability to work collaboratively in a team environment.
  • Ability to communicate effectively in the service of users and colleagues.
  • Writes and communicates clearly and concisely.
  • Possesses sound documentation skills.
  • Ability to maintain confidentiality.
  • Must demonstrate exemplary customer service skills.

Work Location

  • Modified hybrid, East Baltimore.
Minimum Qualifications
  • Bachelor’s Degree.
  • Three years related experience.
  • Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula.
Preferred Qualifications
  • Strong experience in Linux system administration.
  • Strong experience with Docker, including understanding of storage drivers. 
  • Understanding of RESTful API interactions (e.g., using cURL, Postman, etc.)
  • Experience with configuring and troubleshooting NGINX.
  • Proficiency in SQL required, some administration knowledge desirable (MySQL/Maria DB, Microsoft SQL Server)
  • Cloud experience (Azure prefer red)
  • Programming experience with Python and R. 
  • Experience with Kubernetes and Terraform.



Classified Title: Sr. Programmer Analyst  
Role/Level/Range: ATP/04/PD  
Starting Salary Range: $61,070-$83,900-$106,710 Annually (Commensurate with experience) 
Employee group: Full Time 
Schedule: Mon-Fri 8:30 am-5:00 pm 
Exempt Status: Exempt 
Location: ​​​​​​​Hybrid/School of Medicine Campus 
Department name: ​​​​​​​IT@JH Technology Innovation Center  
Personnel area: University Administration 

Total Rewards
The referenced salary range is based on Johns Hopkins University’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports our employees’ health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/

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 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.

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.

The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.

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
Learn more:

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 jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu.

Johns Hopkins has mandated COVID-19 and influenza vaccines, as applicable. 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. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional provisions may apply, depending on 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.

Note: Job Postings are updated daily and remain online until filled.


Courtesy Postings

Below are BigData-related employment positions offered by friends and affiliates of IDIES. 


Please note that we are sharing these listings on behalf of other employers. These roles are not directly under the purview of IDIES or Johns Hopkins University, unless explicitly stated otherwise. We cannot answer questions or provide support in applying to these opportunities.

Data Scientist position: Computer vision and other AI techniques in support ocean, atmospheric aerosol, and cloud remote sensing

5523 Research Park Drive Suite #140
Baltimore, MD 21228


The Goddard Earth Sciences Technology and Research II (GESTAR II) consortium at NASA’s Goddard Space Flight Center (GSFC) invites applications for a data scientist position in Physical Science, Computer Science, Engineering, Statistics, Mathematics, or related field. 

The incoming scientist will join the NASA GSFC Ocean Ecology Laboratory (science.gsfc.nasa.gov/earth/oceanecology) to develop novel computer vision and other AI techniques in support of ocean, atmospheric aerosol, and cloud remote sensing. The candidate should be an independent scientist who:

  • can apply state of the art methods in the analysis and processing of unique remote sensing data, such as those from multi-angle polarimeters,
  • is dedicated to our goal of producing scientifically relevant geophysical data products, and
  • is able to communicate and interact effectively with non-specialists to implement practical solutions at scale. 


The position will primarily support two forthcoming NASA missions. The NASA Plankton, Aerosol, Cloud, ocean Ecosystem Mission (PACE, pace.gsfc.nasa.gov) will be launched in 2024. PACE will have three passive sensors with groundbreaking spectral, polarimetric and multi-angle observing capability. The NASA Atmosphere Observing System Mission (AOS, aos.gsfc.nasa.gov) will utilize multiple active and passive sensors on several spacecraft launched in the 2028-2030 timeframe for observation of atmospheric aerosols, clouds, convection and precipitation. Both missions will have passive, polarimetrically sensitive, imagers that make multi-angle observations in the UV-SWIR. The corresponding data are very rich, but efficient analysis and processing at a global remote sensing scale is the core challenge the successful applicant will address.  


Required Qualifications:

  • Degree in Physical Science, Computer Science, Engineering, Statistics, Mathematics, or related field and minimum of 4 years of relevant experience, or an equivalent combination of education and experience.
  • Experience with scientific programming in C/C++, Fortran, Python, IDL or equivalent.
  • Experience applying machine learning methods to solve computer vision and similar problems.


Desired Experience

  • Satellite data geolocation and projection.
  • Atmosphere, ocean and land surface radiative transfer. Creation of machine learning radiative transfer emulators.  
  • Remote sensing of the ocean, atmosphere and land surface.
  • Remote sensing with passive multi-angle polarimetric instruments.
  • Scientific software development in a high-performance computing environment.
  • Application of Bayesian inference techniques.
  • Evaluation / validation of satellite observations against reference data sources.


The successful candidate will join the GESTAR II Consortium which supports over 120 researchers based primarily at NASA Goddard Space Flight Center (GSFC). GESTAR II researchers work to create extensive opportunities for breakthroughs in earth and atmospheric science research, carrying out observational, experimental and theoretical research in support of NASA strategic Earth Science mission objectives.


Goddard’s Earth Science Division is home to about 200 civil servants and over 1200 collaborating researchers and support personnel, dedicated to studying the Earth as an integrated system that includes the atmosphere, oceans, biosphere, cryosphere, and geosphere. The Division operates as a component of the Sciences and Exploration Directorate that collaborate on interdisciplinary research with the Astrophysics Science, Heliophysics Science, and Solar System Exploration Divisions.


The nominal starting date is early spring, but alternate dates are possible depending on availability. 


Candidates should provide a cover letter, CV (including publication list) and a 3-page statement of research interests. Short-listed candidates will be asked to supply three letters of reference at a later date. All materials and inquiries should be sent by email Subject line: Task 175: Researcher Position to: Halley Thompson (halleyt@umbc.edu)


Completed applications received by February 17, 2023, will receive full consideration, however the posting will remain open until the position is filled.

Salary and benefits are competitive, commensurate with experience and qualifications. The GESTAR II consortium and NASA GSFC are committed to building a diverse research community and encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. All GESTAR II institutions are Affirmative Action, Equal Opportunity Employers.


For more information about the proposed research, contact Dr. Kirk Knobelspiesse (kirk.d.knobelspiesse@nasa.gov).


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