We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant features using machine learning and deep learning techniques for the Department of Radiology-Diagnostic Imaging Division.

MINIMUM QUALIFICATIONS

• Masters in Computer Science, Biomedical Engineering, or a related field.
• Two years of experience with machine learning, deep learning, and data analysis.
• Additional education may substitute for required experience and additional related experience may substitute for required education beyond HS Diploma/Graduation Equivalent, to the extent permitted by the JHU equivalency formula.

PREFERRED QUALIFICATIONS

• Proficiency in programming languages such as Python, C++, and MATLAB.
• Familiarity with software development best practices, including version control, testing, and documentation.
• Experience in healthcare or medical research.
• Experience working in a multidisciplinary team environment.
  Classified Title: Sr. Radiomics & AI Research Engineer
  Job Posting Title (Working Title): Sr. Radiomics and AI Engineer
  Role/Level/Range: ACRP/04/MH
  Starting Salary Range: $101,500 - $177,800 Annually ($127,500 targeted; Commensurate w/exp.)
  Employee group: Full Time
  Schedule: M-F 8:30a-5p
  FLSA Status: Exempt
  Location: School of Medicine Campus
  Department name: SOM Rad Diagnostic Imaging
  Personnel area: School of Medicine
  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: https://hr.jhu.edu/benefits-worklife/.
  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 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
  https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12ScreenRdr.pdf
  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 https://accessibility.jhu.edu/.
  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 seasonal flu vaccine. 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 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 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

• Develop and implement machine learning and deep learning algorithms to analyze medical images.
• Collaborate with radiologists, oncologists, and other healthcare professionals to identify clinically relevant features that can be extracted from medical images.
• Design and implement data preprocessing pipelines to ensure high-quality input data for the algorithms.
• Develop and maintain software tools for data analysis, visualization, and reporting.
• Test and validate the algorithms and software using clinical data sets and real-world scenarios.
• Continuously monitor and improve the performance of the algorithms and software.
• Stay up-to-date with the latest research and developments in radiomics, medical imaging, and artificial intelligence.
• Maintain the cluster, computational, and storage resources in the Felix lab, which are used for training and deploying AI models.