National Cancer Institute Employee Job Reviews in the United States

"National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, making it a national leader in advancing research and treatment protocols."

"software development. Over the past 5~6 years, I have dedicated a considerable amount of time and effort to develop computeraided design and software to help people in other area. During my PhD and undergraduate study, I have taken a number of statistics and software course, and I possess strong data analysis, image understanding, and software techniques. I am currently a visiting fellow in the laboratories at NCI/NIH, where I use my machine learning and software background to help biologistst of indn ovelc ell-biologicalm echanisms. As theo nlyc omputer-relatedm ajorr esearcherh ere,I h avep rimarilyd eveloped image analysis software by using a state of art image understanding/machine learning background such as Mask R-CNN, UNET by using Python-Tensorflow/Keras/OpenCV and KNIME framework. I am helping biologists on the experimental set-up and to assist and help them in every phase of the automated imaging workflow. This work includes: • Develop and implement image analysis/deep learning workflows for biological/medical image applications. • Develop machine learning software on high-performance multiple NVIDIA CUDA-support GPUs. (e.g., the number of GPUs: 16~24 NVIDIA K40 GPUs) (Python-Tensorflow) • Data analysis and statistical understanding of medical/biological dataset. • Software and pipeline development of the application of image bioinformatics. • Work closely with doctors/biologists. As a former PhD graduate student and postdoctoral fellow under the guidance of Professor Shuvra S. Bhattacharyya and Professor Rong Chen at University of Maryland (area: PhD: Computer Engineering, postdoc: University of Maryland Medical Center), I primarily focused on the development of machine learning software system frameworks for detecting people and vehicles by data fusing from a multimodal, unattended sensor node. This research includes: • Machine learning model implementations (e.g., CNN, DNN, SVM, and Mask R-CNN) for target classification, detection, and analysis. (MATLAB"

What do you like about working at National Cancer Institute?

"Friendly and relaxing work environment, professional co-workers, friendly supervisors, and schedule flexibility as long as the job gets done."

Do you have any tips for others interviewing with this company?

"The company is great for an entry level scientist who wants to have a first experience in the field of scientific reserch and writing."

What don't you like about working at National Cancer Institute?

"Limited possibilities for career growth, limited access to research and epidemiologic project contracts."

What suggestions do you have for management?

"Should re-study projects distribution according to workers'/sceintists' fields of expertise."