Job ID: 365883
Job date: 2017-02-09
End Date:
Company : USC Center for Applied Molecular Medicine Country : Role : Research Scientist
Job date: 2017-02-09
End Date:
Company : USC Center for Applied Molecular Medicine Country : Role : Research Scientist
Job Description:
We are seeking a talented computational scientist who is skilled in statistical data analysis and has a strong interest cancer biology. The candidate will design and perform quantitative analyses of imaging experiments on cancer tissues to investigate the spatial structure of tumors. The successful applicant will have experience analyzing microscopy images, preferably of cancer cells and tissues. The ability to communicate with cancer biologists and clinicians is key to success in this position. This role will include all levels of data manipulation, from file formatting to advanced machine learning. Requirements: 1. Ph.D. in a relevant discipline (computer science, statistics, engineering, etc). 2. At least two first- or senior-author publications in high profile journals. 3. Three or more years’ experience analyzing microscopy images. 4. Proficiency with: a. R or Matlab. b. Microscopy analysis platforms (e.g. Imaris, CellProfiler, ImageJ). c. At least one of the languages Java, C/C++, or Python. 5. Experience with machine learning techniques. 6. Able to learn independently. 7. Good organizational skills. 8. Ability to communicate scientific results in formal presentations.
Additional Info:
Environment and background: Our focus at the Lawrence J. Ellison Institute for Transformative Medicine of USC is improving cancer outcomes by discovering optimal approaches to personalized therapy. Our vision is that a patient’s own metrics will determine their most effective treatment. These might include microscopic tumor morphology, the dynamics of intracellular processes, or the behavior of cells across diverse microenvironments. We investigate a broad range of biological systems, including cell culture, mouse models, and patient tissue.[Click Here to Access the Original Job Post]
We are seeking a talented computational scientist who is skilled in statistical data analysis and has a strong interest cancer biology. The candidate will design and perform quantitative analyses of imaging experiments on cancer tissues to investigate the spatial structure of tumors. The successful applicant will have experience analyzing microscopy images, preferably of cancer cells and tissues. The ability to communicate with cancer biologists and clinicians is key to success in this position. This role will include all levels of data manipulation, from file formatting to advanced machine learning. Requirements: 1. Ph.D. in a relevant discipline (computer science, statistics, engineering, etc). 2. At least two first- or senior-author publications in high profile journals. 3. Three or more years’ experience analyzing microscopy images. 4. Proficiency with: a. R or Matlab. b. Microscopy analysis platforms (e.g. Imaris, CellProfiler, ImageJ). c. At least one of the languages Java, C/C++, or Python. 5. Experience with machine learning techniques. 6. Able to learn independently. 7. Good organizational skills. 8. Ability to communicate scientific results in formal presentations.
Requeriments :
Skills :
- Cancer biology
- Machine Learning
- Programing in C
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in Matlab
- Programming in R
- Statistics
Areas :
Additional Info:
Environment and background: Our focus at the Lawrence J. Ellison Institute for Transformative Medicine of USC is improving cancer outcomes by discovering optimal approaches to personalized therapy. Our vision is that a patient’s own metrics will determine their most effective treatment. These might include microscopic tumor morphology, the dynamics of intracellular processes, or the behavior of cells across diverse microenvironments. We investigate a broad range of biological systems, including cell culture, mouse models, and patient tissue.[Click Here to Access the Original Job Post]