Create Alert
Apply now »
Job Req ID:  114249

Scientific Software Engineer w/ AI Concentration

The Johns Hopkins Center for Data Science in Emergency Medicine (CDEM) is seeking a dynamic individual for the position of Scientific Software Engineer w/ AI Concentration, with a focus on machine learning, and specifically artificial intelligence (AI). The successful candidate will be a part of a cutting-edge research software engineering team at Johns Hopkins School of Medicine (JHUSOM), contributing to the advancement of scientific software, and the creation of systems based on novel combinations of human and artificial intelligence and advanced data science methods to improve patient care. This role utilizes the strengths of scientific computing to drive innovation in high-value target projects identified across all areas of emergency medicine and particularly clinical decision support.


Specific Duties & Responsibilities

  • The Scientific Software Engineer with AI concentration will be responsible for collaborating on ground-breaking research projects and clinical decision support tools that demand advanced software solutions.
  • Designing and building innovative AI solutions for CDEM projects in collaboration with software developers, data scientists, clinicians, and scientific subject matter experts and users.
  • Utilizing XGBoost, random forest and the latest deep neural network (DNN) libraries trained on state-of-the-art hardware to predict outcomes and forecast time series data.
  • Working with clinicians and data scientists to analyze massive patient-level data sets and develop software pipelines for real-time high-frequency data processing workflows.
  • Working closely with internal and external stakeholders to understand interface and backend server needs, envisioning solutions, and developing prototypes and functional requirements.


Special Knowledge, Skills & Abilities

  • Strong scientific literacy and curiosity, ability to continually adapt to new scientific domains and problems and identify and articulate scientifically informed AI and data analysis approaches.
  • Strong experience (2+ years) in software development, with a focus on building robust, scalable, and maintainable software solutions.
  • Prior experience specifically in developing machine learning models, preferably within the healthcare or biomedical domain.
  • Proficiency in Python programming language, as well as experience with relevant libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and Keras.
  • Knowledge of Machine Learning and Clinical Decision Support, including solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and ensemble methods.
  • Proficiency in software development best practices, including version control (e.g., Git), unit testing, continuous integration/continuous deployment (CI/CD), and agile development methodologies.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) and containerization technologies (e.g., Docker, Kubernetes) for deploying and scaling machine learning models.
  • Strong problem-solving skills and the ability to translate research findings into production-ready software solutions.
  • Excellent communication skills, both verbal and written, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
  • Experience collaborating with interdisciplinary teams, including clinicians, data scientists, and other software engineers, to define requirements, develop solutions, and validate model performance.
  • Awareness of regulatory requirements governing healthcare software development, such as HIPAA (Health Insurance Portability and Accountability Act) and FDA (Food and Drug Administration) guidelines for medical devices and software.
  • Understanding of ethical considerations and privacy concerns related to handling sensitive patient data, and a commitment to maintaining data security and confidentiality.


Minimum Qualifications
  • Bachelor's Degree.
  • Five 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
  • Master's Degree or PhD in a quantitative discipline.
  • Seven or more years of experience in the above areas.
  • Experience designing and developing advanced scientific data visualizations.
  • Knowledge of healthcare data standards, such as HL7, DICOM, FHIR, and experience working with electronic health records (EHR) data is highly desirable.
  • Familiarity with clinical decision support systems, including their design, implementation, and integration into healthcare workflows.

 

 

Classified Title: Software Engineer 
Role/Level/Range: ATP/04/PE  
Starting Salary Range: $34.90 - $61.05 HRLY ($47,000 targeted; Commensurate with experience) 
Employee group: Casual / On Call 
Schedule: Varies; 19 Hours/Week 
Exempt Status: Exempt 
Location: Mount Washington Campus 
Department name: ​​​​​​​SOM Em Med Research  
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/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.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.
Mount Washington Campus

Apply now »