Internship Program

The Malone Center for Engineering in Healthcare’s (MCEH) Internship Program offers engineering undergraduate and graduate students a unique opportunity to gain knowledge and real-life experience in the field of engineering in healthcare. Student interns work on research projects under the direction of professional engineers, faculty members, and clinicians. The program is also intended to lay the groundwork for meaningful and lasting partnerships between MCEH, Johns Hopkins Medical Institutions (JHMI), and industry partners.

Please note: Internships through the Malone Center are only open to Hopkins-affiliated students and trainees.  

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COVID-19 Data Analysis Internship

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Position Summary: We are seeking an enthusiastic intern who is interested in COVID-19 data analysis. The intern will work on applications of mathematical techniques, data analytics, and data visualization in the operational impacts of COVID-19 in healthcare and society. The intern may interact with faculty, students, data stewards, and clinicians at the Whiting School of Engineering, the Department of Emergency Medicine at Johns Hopkins School of Medicine (CDEM https://cdem.jh.edu/), the Capacity Command Center at Johns Hopkins Health System, and the Center for Systems Science and Engineering (CSSE https://systems.jhu.edu/). The project focus on various analysis and visualization of data using data analytics, advanced interactive data visualization techniques, optimization methods, machine learning, website development, and large-scale electronic health record (EHR) data extraction. Current projects include healthcare capacity relations to deaths and improving hospital capacity management for COVID-19 patients.

The intern will receive multiple papers related to their assigned project. The goal of the student’s project and its relationship to other work in the area will be discussed. The student will be provided with detailed guidance needed to conduct data analysis.

The internship will start as soon as possible and is expected to last 16 weeks. There is a possibility of extension depending on the performance of the student.

Benefits for the Student: This internship is ideally suited to students with strong analytic skills and an interest in pursuing healthcare- or public health-oriented research or careers. Interns will acquire theoretical and practical training in advancing public health and healthcare systems using data science and systems engineering. The intern will have access to faculty, staff, and students in the Center for Systems Science and Engineering, the Center for Data Science in Emergency Medicine, and the Malone Center for Engineering in Healthcare. The team includes experts from the fields of operations research, systems engineering, public health, and medicine. Experiences gained will be highly informative and advantageous to students who plan to pursue further training (Masters, PhD or MD) or work in this arena after graduation. The project will prepare the student to showcase their skills in data analytics, analytical thinking, and operations research while solving real-world problems.

Compensation: Credit or $15/h up to $5,000, depending on student availability and project needs

Duration of Project: Approx. 16 weeks (Start date ASAP/negotiable)

Required Education: Undergraduate or master’s students in systems engineering, computer science, applied mathematics and statistics, management sciences, biomedical engineering, or relevant fields. No previous research/industry experience is required. 

Desired knowledge, skills, and abilities:

  • High-level communication skills
  • Strong critical thinking and analytical reasoning skills
  • Proficiency with multiple programming languages (including R, Python and SQL)
  • Proficiency in or eagerness to learn cloud-based computing skills
  • Ability to execute assigned project tasks within established schedule
  • Sound documentation skills (writes and communicates clearly and concisely)
  • Prior experience in healthcare-oriented research desired but not necessary

Application Process: Send your CV, cover letter (describing relevant course work, research experience, and/or future plans about industry/research career) and one letter of recommendation/professional reference contact info. Email applications to Tracy Marshall: [email protected] with Subject line: “MCEH Internship application”

Application deadline: Earlier application is highly recommended. Full review is not guaranteed for applications received after January 7, 2022


Data Analytics and Healthcare Operations Internship

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Position Summary: We are seeking an enthusiastic data science intern who is interested in the application of mathematical and computational techniques to solve real-world problems in healthcare. This internship is a collaboration between the Whiting School of Engineering, the Department of Emergency Medicine at Johns Hopkins School of Medicine, and the Capacity Command Center at Johns Hopkins Health System (JHHS). The student is expected to work collaboratively with JHHS operations leadership and faculty and staff within the Center for Data Science in Emergency Medicine (CDEM https://cdem.jh.edu/) and the Center for Systems Science and Engineering (CSSE https://systems.jhu.edu/). The teams are focused on the improvement of healthcare delivery using data-driven methods that include optimization modeling, advanced data visualization techniques, machine learning, large-scale electronic health record (EHR) data extraction, EHR data wrangling, and research database building. Current projects include the Perioperative Throughput Optimization Initiative, which seeks to leverage data and systems to forecast hospital occupancy and optimize surgical schedules. The intern will be directly engaged with the data science pipeline (from EHR data extraction to modeling to decision support) used to support and drive this initiative. Their work will be critical to the success of the team.

The student can expect an experience similar to a lab rotation, as well as exposure to operational and clinical workflows relevant to translational medical research. Before arrival, each intern will receive multiple papers related to their assigned project. The goal of the student’s project and its relationship to other work in the area will be discussed. The student will be provided with detailed guidance needed to conduct data analysis.

The internship will start as soon as possible and is expected to last 16 weeks. There is a possibility of extension depending on the performance of the student.

Benefits for the Student: This internship is ideally suited to students with strong analytic skills and an interest in pursuing healthcare-oriented research or careers in industry or academia. Interns will acquire theoretical and practical training in advancing the practice of medicine and healthcare delivery using data science and systems engineering – with a particular focus on EHR data and optimization techniques. The intern will have access to faculty and staff in the Malone Center for Engineering in Healthcare, the Center for Systems Science and Engineering, and the Center for Data Science in Emergency Medicine. The team includes experts from the fields of operations research, biomedical engineering, and mathematical ecology – all focused on the common goal of improving care delivery for emergency department patients. The team has created important cross-disciplinary partnerships and developed novel tools that enhance the practice of emergency medicine, including through an improved approach to emergency department triage, more accurate identification of risk factors for acute kidney injury and better risk-stratification of patients with infectious disease. Experiences gained will be highly informative and advantageous to students who plan to pursue further training (Masters, PhD or MD) or work in this arena after graduation. The project will prepare the student to showcase their skills in data analytics, analytical thinking, and operations research while solving real-world problems.

Compensation: Credit or $15/h up to $5,000, depending on student availability and project needs

Duration of Project: Approx. 16 weeks (Start date ASAP/negotiable)

Required Education: Undergraduate or master’s students in systems engineering, computer science, applied mathematics and statistics, management sciences, biomedical engineering, or relevant fields. No previous research/industry experience is required. 

Desired knowledge, skills, and abilities:

  • High-level communication skills
  • Strong critical thinking and analytical reasoning skills
  • Proficiency with multiple programming languages (including R, Python and SQL)
  • Proficiency in or eagerness to learn cloud-based computing skills
  • Ability to execute assigned project tasks within established schedule
  • Sound documentation skills (writes and communicates clearly and concisely)
  • Prior experience in healthcare-oriented research desired but not necessary

Application Process: Send your CV, cover letter (describing relevant course work, research experience, and/or future plans about industry/research career) and one letter of recommendation/professional reference contact info. Email applications to Tracy Marshall: [email protected] with Subject line: “MCEH Internship application”

Application deadline: Earlier application is highly recommended. Full review is not guaranteed for applications received after January 7, 2022


Data Science Internship with MCEH/Johns Hopkins Hospital

See PDF version of posting >>

Position Summary: We are seeking an enthusiastic data science intern who is interested in the application of mathematical and computational techniques to solve real-world problems in healthcare. This internship is a collaboration between the Whiting School of Engineering, the School of Medicine, and a start-up (Rubicon Health LLC). The intern will apply novel artificial intelligence and optimization techniques to help clinicians treat critically ill children. Sepsis is a syndrome, triggered by an infection, with life-threatening organ dysfunction caused by a dysregulated host immune response. Annually in the U.S., 1.7 million adults and 75,000 children have sepsis and about 20% of adults and 10% of children die. Antibiotic administration delays are common and associated with increased mortality. Once started, broad-spectrum antibiotic therapy for sepsis is often unnecessarily prolonged. Current electronic health record (EHR) based CDS has not improved sepsis care. Current applications of AI to sepsis are myriad and have none impacted outcomes. We are leveraging the JHU Precision Medicine Analytics Platform to develop an innovative extensible comprehensive CDS software package to assist the workload-challenged, geographically dispersed, ad-hoc hospital-based clinical teams. In the first phase of this work, we will move past prediction to solve the unmet need and create and analyze process models about how the workload-challenged, geographically dispersed, ad-hoc hospital-based clinical teams. We will develop an “expert consensus” process map for antibiotic administration after the team makes a diagnosis of presumed sepsis. The initial goals of this project include: 

  • Process mine five years of Johns Hopkins Hospital Pediatric Intensive Care Unit retrospective EHR data to create a data-driven process map.
  • Measure discordance between the expert map and the data-driven map.

The student can expect an experience similar to a lab rotation, as well as exposure to operational and clinical workflows relevant to translational medical research. The internship will start as soon as possible and is expected to last 16 weeks. There is a possibility of extension depending on the performance of the student.

Benefits for the Student: This internship is ideally suited to students with strong analytic skills and an interest in pursuing healthcare-oriented entrepreneurship or careers in industry or academia. Interns will acquire theoretical and practical training in advancing the practice of medicine and healthcare delivery using data science and systems engineering – with a particular focus on EHR data and optimization techniques. The intern will have access to faculty and staff in the Malone Center for Engineering in Healthcare, the Center for Systems Science and Engineering (CSSE), the department Critical Care Medicine, and Rubicon Health and work in interdisciplinary teams. The project is led by Dr. James Fackler (medicine) and Prof. Kimia Ghobadi (engineering). Experiences gained will be highly informative and advantageous to students who plan to pursue further training (Masters, PhD or MD), expand their interdisciplinary skills and knowledge, or work in this arena after graduation. The project will prepare the student to showcase their skills in data analytics, analytical thinking, and operations research. 

Compensation: Credit or $15/h up to $5,000, depending on student availability and project needs

Duration of Project: Approx. 16 weeks (Start date ASAP/negotiable)

Required Education: Undergraduate or master’s students in systems engineering, computer science, applied mathematics and statistics, management sciences, biomedical engineering, or relevant fields. No previous research/industry experience is required. 

Desired knowledge, skills, and abilities:

  • High-level communication skills
  • Strong critical thinking and analytical reasoning skills
  • Proficiency with multiple programming languages (including R, Python and SQL)
  • Proficiency in or eagerness to learn cloud-based computing skills
  • Ability to execute assigned project tasks within established schedule
  • Sound documentation skills (writes and communicates clearly and concisely)
  • Prior experience in healthcare-oriented research desired but not necessary

Application Process: Send your CV, cover letter (describing relevant course work, research experience, and/or future plans about industry/research career) and one letter of recommendation/professional reference contact info. Email applications to Tracy Marshall: [email protected] with Subject line: “MCEH Internship application”

Application deadline: Earlier application is highly recommended. Full review is not guaranteed for applications received after January 7, 2022


Questions? 

If you have questions about the internship program or would like to inquire about future internship opportunities, please contact Tracy Marshall: [email protected]

 

We invite Johns Hopkins Medical Institutions (JHMI) departments and industry representatives to partner with us and host a student intern. We are committed to working closely with our intern hosts to meet the objectives of the internship.


Why host an intern? 

The benefits of partnering with MCEH to provide internships are many:

  • A year-round source of motivated student -workers
  • Great way to recruit for and support project work, temporary and/or busy positions
  • An opportunity to identify and train potential future employees
  • A way to bring new ideas, skills, and points of view to old and new problems
  • Well-prepared, short-term assistance to support faculty project work/ employees so they can pursue new projects

What are the expectations for an intern host? 

The faculty member or department staff member requesting the intern is responsible for assigning, or will be considered themselves, a direct supervisor of the intern. Additionally, MCEH will assign an in-house mentor to each intern, to help them solve complex engineering challenges, if any are encountered during the internship. The MCEH mentor could be a staff engineer or a faculty member.

MCEH will provide administrative help with interns’ recruitment, hiring and payroll (when applicable) or credit arrangements. The direct supervisor is responsible for creating and following the internship plan, to include:

  • Intern orientation
  • Project(s) description
  • Learning objectives
  • Reading materials
  • Daily responsibilities and long-term assignments
  • Intern off-boarding, including reference letters

The supervisor is also responsible to track the intern’s work time and confirm worked hours by signing the intern’s time sheets, when relevant. Supervisors are expected to provide four-week and end-of-internship evaluations. They will also provide reference letters, if requested by the intern.


How will the position be advertised? 

MCEH staff will work together with the entity requesting an intern to create the internship posting, advertise the posting to relevant Hopkins departments, and collect applications.  Upon reaching the application deadline, all applications will be forwarded to the internship host, who will select and interview candidates, and make the final decision on the top candidate.


Sample Forms: 

Sample Internship Posting

Intern Time Sheet

Internship Evaluation Form


How do I become an intern host? 

Please send an email inquiry to discuss the next steps!
Contact Tracy Marshall: [email protected]

Why intern with the Malone Center? 

We offer many exciting opportunities for Hopkins students who want to develop relevant skills in a collaborative, dynamic and fast-paced environment. Our interns gain real, meaningful experience working alongside professional engineers and clinicians. Benefits include:

  • You’ll receive real world experience in the medical and/or research engineering worlds.
  • You’ll acquire sought after and valued practical skills (on-job training) that will assist in your future career search.
  • You’ll experience first-hand the work load and environment in possible employment locations.
  • You’ll experience first-hand the work load and environment in possible employment locations.
  • You’ll get an opportunity to network and have direct interactions (informational interviewing) with key personnel.
  • You’ll build your resume.
  • You may receive course credit or make some money during breaks/intersession/semesters.


General Internship Requirements

The MCEH Internship Program is best-suited for engineering students who are interested in medicine. A background in pre-med or some experience with medicine is a plus but not required. Please carefully review the specific requirements for each posted position before applying.

* The MCEH Internship Program requires that all student interns create a poster reflecting the work they completed during the internship. They must present the poster at the Annual Johns Hopkins Research Symposium on Engineering in Healthcare in November.


Questions? 

If you have questions about the internship program or would like to inquire about future internship opportunities, please contact Tracy Marshall: [email protected]

Hear from past interns:

I highly recommend this internship. You will make a difference and design your project. The mentor will never waste your time on trivial and unimportant things. After several months, you will sharpen your analytical skills and interpersonal skills, and you may even get a position with Johns Hopkins!

– Jiarui Cai

Internship: Data Science Intern at Johns Hopkins Health System
Major: Applied Mathematics and Statistics

Describe your responsibilities at the internship:

At the internship, I focused on one big Infusion Pump Movement Detection Project. This project aims to detect the movement pattern and create a re-distribute system for an infusion pump, to balance the inventory of pumps in Johns Hopkins Health System. My duties included organizing data, modeling, testing hypotheses, writing reports, visualization, and presenting results and analysis. I had a wonderful chances to work closely with engineers, administrates, front-line workers and nurses.


What was your big takeaway from your internship?

Besides analytical skills and knowledge, the most valuable thing I learned was how to work in a team environment with people from different backgrounds. My coworkers and clients include data scientists, engineers, administrators, nurses, physicians, and faculty. Most of them had different experience than me and did not have a mathematical background. Communication and building relationships with everyone was one of the hardest parts of my internship but also the most rewarding.


 

What is your current position? How are your applying what you learned during the internship in your current role? 

I got a return offer after my internship. I now works as a data science resident in JHMS. I am doing very similar projects, and the difference is I have multiple projects running at the same time, instead of focusing on one project.


Would you recommend this internship to another student? Why? 

I highly recommend this internship. You will make a difference and design your project. The mentor will never waste your time on trivial and unimportant things. After several months, you will sharpen your analytical skills and interpersonal skills, and you may even get a position with Johns Hopkins!


Hear From past interns:

Our project had many moving parts and it required me to work with people in Chile, physicians, professors, etc.  Sometimes, I needed to explain data science to people who don’t understand the field at all. I had to learn how to translate data science language to a common language so everyone could understand the work. Learning how to present information to these different groups was important experience for me.

– Haoxiang Zhang

Internship: Data Science Intern at Johns Hopkins Health System Operations Integration
Major: Applied Mathematics and Statistics

Describe your responsibilities at the internship:

I worked on a project that aimed to better understand the factors that contribute to higher mortality rates for patients on elective surgery waiting lists in Chile.

First, we spent a good deal of time doing a literature review and learning more about what others have done with this problem. Then, we acquired data sets from healthcare centers in three different Chilean cities . We had to clean and manipulate the data to group patients for modeling purposes. Finally, we built a model for each city that can analyze the risk factors (age, disease, etc.) that contribute to higher mortality rates.

Our model can inform healthcare providers and policy-makers on how they can better prioritize patients on these waiting lists. For example, first-come, first-serve may not be the best policy. And if the model shows that mortality rates are high for a particular patient population, they can take action to address that problem. Currently, we’re finishing a paper and will publish our results soon.


Describe What is your current position? How are your applying what you learned during the internship in your current role? 

Currently, I’m a Data Insights Intern at SECU Credit Union, the largest credit union in Maryland. I’m doing similar work but I’m tackling a whole new project. During my interview, SECU asked me a lot of questions about my JHHS internship experience. I think the experience I gained at JHHS helped me get my current internship.


What was your big takeaway from your internship?

My mentor emphasized critical thinking. For example, don’t just do what you are asked to do – but think deeply about what the project needs. Before this internship, I thought programming and modeling was the most difficult part of a data science project. But during this internship, I learned that the preparation before the modeling – the literature review, collecting and manipulating the data – is actually the most challenging part.

Our project had many moving parts and it required me to work with people in Chile, physicians, professors, etc.  Sometimes, I needed to explain data science to people who don’t understand the field at all. I had to learn how to translate data science language to a common language so everyone could understand the work. Learning how to present information to these different groups was important experience for me.


What did you enjoy most about working with your internship mentors? 

My mentor, Diego Martinez, always motivated me to work harder. This was the first time that I worked on a data science project from beginning to end. Diego offered me guidance but he didn’t just tell me what to do – he asked me questions and valued my input and feedback. In addition to the project, Diego also took time to teach me about the broader field of data science.