Systems Engineering/Data Scientist Position within Johns Hopkins Medicine
The Systems Engineer develops a deep technical understanding of these systems and component elements. Documents the concept of operations, functional requirements and interfaces. Monitors and assesses the operation of the systems by developing operational telemetry and data reports to analyze performance data. Develops system design changes to improve reliability and efficiency. Works independently and in collaboration with interdisciplinary teams to implement system improvements. Manages projects, leads teams and working groups as required. Facilitates the prioritization, efficiency and evaluation of the work of other team members through the development and provision of technology tools and data reports.
This full-time, salaried position provides a unique and exciting opportunity to join the Johns Hopkins Medicine team and advance the safety and quality of health care within the Johns Hopkins Hospital, the Johns Hopkins Health System, the State of Maryland, Nationally, and around the world. The Systems Engineer provides the rigorous, comprehensive approach and means to assess, develop, validate and manage a complex, operational system. The system of interest is the system of systems required to eliminate preventable harm and improve patient outcomes. These systems include people, processes, technology and information. The Systems Engineer’s role is to achieve the integration, precision and efficiency in these systems.
Experience with the architecture and interfaces among information technology systems is necessary. Strong data science skills are required to identify, correct and prevent data quality issues. Software systems and tools include SQL, Python, R, Epic, HDM, and Tableau.
Bachelor degree required and graduate degree preferred. Work location is Johns Hopkins Hospital.
If any questions about this unique and exciting opportunity, please email Richard Day at firstname.lastname@example.org
No openings at this time
We seek a highly motivated research assistant to contribute to neuroscience and neural rehabilitation research in human motor skill.
Specific Duties & Responsibilities:
The research assistant’s primary role is to assist in projects of human behavioral and neurophysiology studies focusing on the recovery of motor dexterious functions after brain damage. Study population include both healthy people and patients suffer from motor deficit, especially hand impairments after brain damage, such as stroke, dystonia, and other neurological diseases. The position involves work on one collaborative project with the Malone Center for Engineering in Healthcare, the Departments of Neurology, Neuroscience, & Physical Medicine and Rehabilitation at Johns Hopkins Hospital. The immediate goal is prototyping and piloting a device and therapies in stroke patients, in preparation for a large-scale clinical trial for hand rehabilitation post-stroke
Responsibilities include design and implementation of behavioral and neurophysiology studies on human dexterious movements, programming, using, and troubleshooting advanced devices for movement kinetics/kinematics, recruitment and scheduling of healthy and patient participants, administrating neurological and behavioral assessments, assisting data analysis and manuscript preparation.
This position will provide invaluable experience for anyone interested in pursuing graduate study in the fields of biometical engineering, neuroscience, medicine, and experimental and cognitive psychology. This position is dependent on available research funding
Minimum Qualifications (Mandatory):
•Bachelor’s degree in related discipline.
•Some 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.
•Bachelor’s degree in related field: Biometical Engineering, Neurology, Neuroscience, Computer Sceince, Experimental and Cognitive Psychology. Some experience in research, medical devices, and patients.
Special Knowledge, Skills, and Abilities:
•Proficiency in MATLAB, Python, and/or other programming languages.
•Prior experience in psychology/psychophysics research on human subjects.
•Ability to learn and utilize various computer based applications and data analysis tools.
•Ability to troubleshoot hardware issues with sensors.
•Strong analytical/problem solving skills.
•Technical experience in qualitative data collection and performing statistical analysis. Must have an understanding of techniques and a solid foundation in the underlying science, gained from experience.
•Ability to work independently under minimal supervision. Able to conduct experiments autonomously according to precise instructions. Able to exercise independent judgment to resolve minor problems arising while conducting experiments.
•Ability to multi-task and maintain attention to detail.
Classified Title: Research Assistant
Starting Salary Range: $16.92 per hour
Employee group: Full Time
Exempt Status: Non-Exempt
Location: 04-MD:School of Medicine Campus
Department name: 60005551-Malone Center for Eng in Healthcare
Personnel area: Whiting School of Engineering
Postdoctoral Position at Johns Hopkins University in Healthcare Systems Engineering
Applications are invited for full-time postdoctoral positions joint between Emergency Medicine, Computer Science, and Civil Engineering at Johns Hopkins University under the supervision of Drs. Scott Levin, Jeremiah Hinson, Greg Hager, Sauleh Siddiqui, and Diego Martinez.
Fellows will work at the intersection of engineering and emergency medicine to harness large-scale electronic health record (EHR) data to give care teams real-time and predictive insights for safer, smoother, and more affordable care. Post-doctoral fellows with broad interests in data-science, human-computer interaction, and decision sciences are encouraged to apply.
Fellows will be supported by the Connected Emergency Care (CEC) Patient Safety Learning Lab sponsored by the Agency for Healthcare Research in Quality (AHRQ). The objective of this lab is to reduce health and financial harm for patients receiving emergency department (ED) care with an initial focus on lower respiratory tract infections. The fellows’ primary responsibility will be to develop and test learning and optimization models that advance data-science and are deployed at the point of care for key diagnostic, treatment, and disposition decision-points. The overarching objective will be to deploy decision support that creates a connected (closed-loop) emergency care system toward reducing health and financial harms caused by suboptimal diagnosis and treatment in the ED.
The fellows will work closely with a multidisciplinary team of faculty and Ph.D. students from Johns Hopkins University and the MICA Center for Social Design. Women and Underrepresented Minorities are highly encouraged to apply. This is a year-long postdoc which can potentially be extended up to three years upon satisfactory performance and availability of funding.
- Ph.D. degree in applied or computational mathematics, computer science, engineering, or a closely related field.
- Research experience in data science. Prior experience in medicine or healthcare is favorable.
- Required experience with Python and SQL.
- Prefer some experience with R, C#, C/C++, AWS, Azure
- Demonstrated ability to work independently as well as collaboratively with excellent written and oral communication skills; interdisciplinary research experience is preferred
Review of applications will begin immediately and continue until the position is filled. Complete applications should be sent to email@example.com and should include the following in a single pdf file:
- Use the subject line “Postdoc Engineering in Healthcare
- A cover letter
- A full curriculum vitae
- Up to two research publications and/or preprints
- The names and contact information for three reference