Career Center

General Description

Salary: $62,132-$62,132/yr

The Johns Hopkins University School of Medicine Department of Radiology in the Russell H. Morgan Department of Radiology and Radiological Science in Baltimore, MD is seeking a post-doc research fellow to be hired in the FELIX 2.0 laboratory (https://thefelixlab.jhmi.edu/). This is a full time, post-doc position.  We offer a competitive salary, vacation and excellent benefits.

The FELIX 2.0 laboratory aims to change the trajectory of how pancreatic cancer is detected, how patients are evaluated, and improve outcomes. Its mission is to harness the power of artificial intelligence, help radiologists and clinicians in detecting pancreatic cancer when it could have otherwise been missed. This is an innovative way of approaching what has been a challenge for many decades. Between Johns Hopkins Medicine, the Lustgarten Foundation, and Microsoft AI for Good, the FELIX 2.0 laboratory is pooling vast resources to improve how we do things, especially considering recent advancements in AI technology.

The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images to improve the early detection of pancreatic tumors and improve patient management. Different machine-learning approaches will be compared, and models validated on data prospectively collected. The position will include working with internal and external databases. The candidate will contribute to coordinating expert interpretation and manuscript writing under supervision.

Specific Duties/Responsibilities:

• Data Curation: Collect and organize datasets along with relevant clinical information to support and drive research studies
• Radiomics Pipeline Development: Design and optimize robust radiomics pipelines for characterization of CT images.
• Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images
•  Performance Evaluation: Conduct rigorous statistical analyses to benchmark and compare the performance of diverse approaches.
• Model Assessment and Deployment: Evaluate model limitations and implement new approaches for deploying models, enhancing their generalizability and real-world applicability.
• Communication and Reporting: Prepare reports and study findings to present to PI.
• Manuscript Preparation: Author high-quality research manuscripts for publication in peer-reviewed journals.

Special knowledge, skills & abilities:

• Proficiency in programming language such as Python, C++, R and MATLAB.
• Strong theoretical understanding and practical experience in deep learning-based machine learning or natural language processing.
• Strong background in statistical modeling.
• Strong scientific writing skills.
• Expertise in medical imaging processing or previous work in collaboration with healthcare professionals will be a plus.

Qualifications

•      Master or Ph.D. in computer science, biomedical engineering, or a related field.
•    One year of experience with machine leaning, deep learning and data analysis.

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

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/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information

If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.

Background Checks

After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

EEO is the Law

https://www.eeoc.gov/employees-job-applicants

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. 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. We still require all faculty, staff, and students to receive the seasonal flu vaccine.

Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. 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 vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.

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 candidates 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.

About Johns Hopkins University

The Johns Hopkins University (JHU) was founded in 1876 as the nation's first research university, dedicated to bringing the benefits of discovery to the world. JHU is the largest private employer in Baltimore and Maryland, making a large economic impact in the city and state. We enroll more than 30,000 full- and part-time students across ten academic divisions, offering in-person and remote learning in over 400 programs. Not only are we located in Baltimore, but we also have a presence in Washington, D.C.

Connections working at Johns Hopkins University