Research Fellow - Diagnostic Imaging Felix Lab

Johns Hopkins University; Baltimore (MD); Vor Ort; USD 57.000 - 70.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Vacation

Excellent benefits

Zusammenfassung

The Johns Hopkins University School of Medicine, Department of Radiology, seeks a full-time post-doctoral research fellow to join the FELIX 2.0 laboratory in Baltimore, MD, focusing on radiomics and deep learning from contrast-enhanced CT images to improve early pancreatic cancer detection.

The successful candidate will work with large clinical datasets, compare machine-learning approaches, validate models prospectively, coordinate expert interpretation, and contribute to manuscript preparation

Qualifikationen

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

Aufgaben

• Data Curation: Collect and organize datasets with clinical information to support studies.
• Radiomics Pipeline Development: Design and optimize radiomics pipelines for CT image characterization.
• Machine and Deep learning: Develop and implement ML/DL algorithms for detection and prediction on CT images.
• Performance Evaluation: Statistically benchmark diverse approaches.
• Model Assessment and Deployment: Evaluate model limitations and deploy improvements for generalizability.
• Communication and Reporting: Prepare reports and present findings to PI.
• Manuscript Preparation: Author research manuscripts for publication.

Kenntnisse

Python

C++

R

MATLAB

Deep learning

Statistics

Scientific writing

Medical imaging

Ausbildung

Master or Ph.D. in computer science, biomedical engineering, or related field

Jobbeschreibung

Johns Hopkins, founded in 1876, is America's first researchuniversity and home to nine world-class academic divisions workingtogether as one university.

Salary : $63,480-$63,480

Johns Hopkins University: School of Medicine: Department ofRadiology and Radiological Science: Diagnostic Radiology

Description

The Johns Hopkins University School of Medicine Department ofRadiology in the Russell H. Morgan Department of Radiology and Radiological Science in Baltimore, MD is seeking a post-docresearch 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 competitivesalary, vacation and excellent benefits.

The FELIX 2.0 laboratory aims to change the trajectory of howpancreatic cancer is detected, how patients are evaluated, andimprove outcomes. Its mission is to harness the power of artificialintelligence, help radiologists and clinicians in detectingpancreatic cancer when it could have otherwise been missed. This isan innovative way of approaching what has been a challenge for manydecades. Between Johns Hopkins Medicine, the Lustgarten Foundation,and Microsoft AI for Good, the FELIX 2.0 laboratory is pooling vastresources to improve how we do things, especially consideringrecent advancements in AI technology.

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

Specific Duties/Responsibilities:

• Data Curation: Collect and organize datasets along withrelevant clinical information to support and drive researchstudies
• Radiomics Pipeline Development: Design and optimizerobust radiomics pipelines for characterization of CT images.
• Machine and Deep learning: Develop and implement machinelearning and deep learning algorithms to built detection andprediction models for CT images
• Performance Evaluation: Conduct rigorous statisticalanalyses to benchmark and compare the performance of diverseapproaches.
• Model Assessment and Deployment: Evaluate modellimitations and implement new approaches for deploying models,enhancing their generalizability and real-world applicability.
• Communication and Reporting: Prepare reports and studyfindings to present to PI.
• Manuscript Preparation: Author high-quality researchmanuscripts for publication in peer-reviewed journals.

Special knowledge, skills & abilities:

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

Qualifications

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

Salary Range

The referenced salary range represents the minimum and maximumsalaries for this position and is based on Johns HopkinsUniversity's good faith belief at the time of posting. Not allcandidates will be eligible for the upper end of the salary range.The actual compensation offered to the selected candidate may varyand will ultimately depend on multiple factors, which may includethe successful candidate's geographic location, skills, workexperience, internal equity, market conditions, education/trainingand other factors, as reasonably determined by theUniversity.

Total Rewards

Johns Hopkins offers a total rewards package that supports ouremployees' health, life, career and retirement. More informationcan be found here: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity forits faculty, staff, and students. To that end, the university doesnot discriminate on the basis of sex, gender, marital status,pregnancy, race, color, ethnicity, national origin, age,disability, religion, sexual orientation, gender identity orexpression, veteran status or other legally protectedcharacteristics. The University is committed to providing qualifiedindividuals access to all academic and employment programs,benefits and activities on the basis of demonstrated ability,performance and merit without regard to personal factors ordemographic characteristics that are irrelevant to the programinvolved.

Pre-Employment Information

If you are interested in applying for employment with Johns HopkinsUniversity and require special assistance or accommodation duringany part of the pre-employment process, please contact the HRBusiness Services Office at [e-mail] . ForTTY users, call via Maryland Relay or dial 711. For moreinformation about workplace accommodations at Johns HopkinsUniversity for disabilities, medical conditions (including medicalconditions related to pregnancy or childbirth), accessibility, orreligious 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 backgroundcheck including education verification. When deciding whether acandidate’s conviction history is job-disqualifying, the Universityconsiders the nature and gravity of the offense, the time that haspassed since the conviction, and the nature of the job beingsought.

EEO is the Law

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

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longerrequires, at least one dose of the COVID-19 vaccine. This changedoes not apply to the School of Medicine (SOM). SOM hires must befully vaccinated with an FDA COVID-19 vaccination and provide proofof vaccination status. We still require all faculty, staff, andstudents to receive the seasonalflu vaccine .

Exceptions to the seasonal flu vaccine or COVID-19 vaccine (forSOM) requirement(s) may be provided to individuals with sincerelyheld religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must besubmitted to the JHU vaccination registry. For additionalinformation, 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 involvingcommunity contact requires documentation of immune status againstRubella (German measles), Rubeola (Measles), Mumps, Varicella(chickenpox), Hepatitis B and documentation of having received theTdap (Tetanus, diphtheria, pertussis) vaccination. This may includedocumentation of having two (2) MMR vaccines; two (2) Varicellavaccines; or antibody status to these diseases from laboratorytesting. Blood tests for immunities to these diseases areordinarily included in the pre-employment physical exam except forthose candidates who provide results of blood tests or immunizationdocumentation from their own health care providers. Anyvaccinations required for these diseases will be given at no costin our Occupational Health office.