- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Research Fellow Diagnostic Imaging Felix Lab #Faculty.
Urgent! Research Fellow - Diagnostic Imaging Felix Lab - #Faculty Job Opening In Baltimore – Now Hiring Johns Hopkins University
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.
+ 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: $62,132-$62,132/yr
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting.
Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity.
Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement.
Learn more: https://hr.jhu.edu/benefits-worklife/.
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
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Research Fellow Potential: Insight & Career Growth Guide
Real-time Research Fellow Jobs Trends in Baltimore, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Research Fellow in Baltimore, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 30505 jobs in United States and 402 jobs in Baltimore. This comprehensive analysis highlights market share and opportunities for professionals in Research Fellow roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Johns Hopkins University is currently hiring and seeking a Research Fellow Diagnostic Imaging Felix Lab #Faculty to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Research Fellow Diagnostic Imaging Felix Lab #Faculty Jobs Baltimore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Johns Hopkins University adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Research Fellow Diagnostic Imaging Felix Lab #Faculty Jobs United States varies, but the pay scale is rated "Standard" in Baltimore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Research Fellow Diagnostic Imaging Felix Lab #Faculty typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Research Fellow Diagnostic Imaging Felix Lab #Faculty, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Research Fellow Diagnostic Imaging Felix Lab #Faculty interview at Johns Hopkins University, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Johns Hopkins University's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Research Fellow Diagnostic Imaging Felix Lab #Faculty is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!