Trainee
Frederick National Laboratory • November 22
Trainee
Job ID: req2658
Employee Type: temporary (less than 20 hrs)
Division: Biomedical Informatics & Data Science
Facility: Telework: US
Location: USA
The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.
In this summer training opportunity, you will develop state of the art image analysis algorithms based on machine learning and deep learning techniques to push forward the understanding of whole slide pathology images generated state if the art technologies.
You are a good candidate for this internship if you have proficiency of state of the art image analysis models and modern neural network frameworks.
PROGRAM DESCRIPTION
The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. With leading science and technology, the laboratory performs basic research, supports clinical trials and drug development, develops and applies next-generation technologies to solve applied problems while serving as a national resource of high-tech facilities, while also effectively responding to emerging health threats.
The Biomedical Informatics and Data Science (BIDS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science to effectively enable and advance clinical trials.
The Strategic and Data Sciences Initiatives group in BIDS works collaboratively to continue to accelerate cancer research with a focus on increasingly effective use of data and scalable computing while guiding development of future computational infrastructure and workforce capabilities needed to address key cancer research challenges.
BASIC QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)
#readytowork
Job ID: req2658
Employee Type: temporary (less than 20 hrs)
Division: Biomedical Informatics & Data Science
Facility: Telework: US
Location: USA
The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.
In this summer training opportunity, you will develop state of the art image analysis algorithms based on machine learning and deep learning techniques to push forward the understanding of whole slide pathology images generated state if the art technologies.
You are a good candidate for this internship if you have proficiency of state of the art image analysis models and modern neural network frameworks.
PROGRAM DESCRIPTION
The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. With leading science and technology, the laboratory performs basic research, supports clinical trials and drug development, develops and applies next-generation technologies to solve applied problems while serving as a national resource of high-tech facilities, while also effectively responding to emerging health threats.
The Biomedical Informatics and Data Science (BIDS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science to effectively enable and advance clinical trials.
The Strategic and Data Sciences Initiatives group in BIDS works collaboratively to continue to accelerate cancer research with a focus on increasingly effective use of data and scalable computing while guiding development of future computational infrastructure and workforce capabilities needed to address key cancer research challenges.
BASIC QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of a Bachelor's, or Master's degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in areas related to life science, computer science, data science, or biomedical informatics. (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency
- Experience working in projects with a strong background in programming (e.g. Python, R, Perl, bash)
- Working knowledge of image analysis algorithms (e.g., segmentation, synthesis, classification, clustering, etc.) using state of the art neural network models
- Self-motivated and willing to learn and explore technology
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
- PhD or Master student preferred with degree in computational sciences, or data sciences
- Proven experience with application of machine learning / deep learning methods for medical data especially in whole slide image analysis (e.g., H&E, Immunohistochemistry, Multiplex Immunofluorescence, etc.)
- Experience with using high performance computing clusters
- Knowledge of scientific workflows development (e.g. Snakemake, Nextflow, CWL, etc.)
- Record of publications in related image processing conferences and journals
Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)
#readytowork