Job Description:
There are 2 opportunities for postdoctoral fellows with the Gentles and Diehn labs at Stanford, both analyzing genomic data in relation to treatment response and survival outcomes (see for example http://ccsb.stanford.edu/). One project is to develop and apply methods for identifying biomarkers and processes involved in lymph node and distant metastasis, initially focusing on public datasets. The second is focused on analyzing interactions with the immune system at primary tumor sites. We will also be generating new datasets on surgical specimens obtained at Stanford, to which the developed models will be applied and tested. Stanford has many opportunities for career development such as grant and paper writing workshops, entrepreneurial programs, and the ability to audit a wide variety of courses. Qualifications: Candidates should have, or be close to completing, a Ph.D. in computational biology, bioinformatics, or biostatistics; though those with a background in other quantitative computational fields may be considered. Strong computational skills as well as knowledge of machine learning and prediction methods are essential, as is a genuine interest in the scientific questions being investigated in the Center. Experience with a programming language suitable for biostatistical analysis (such as R or Python) is required, and UNIX/Linux cluster computing experience is strongly recommended. Experience with genomic analyses (microarray analyses, RNAseq analyses) is preferred; integration of large data sets, and analyses of multiple types of omics data would all be valuable assets. The candidate should have strong written and verbal English skills, communication and interpersonal skills. You will be working closely with experimental and clinical collaborators, so should be willing to communicate across disciplinary boundaries and take the initiative in projects. Attention to detail and ability to work on multiple projects are important.
Additional Info:
The Stanford CCSB aims to identify mechanisms by which tumor cells “teach” the immune system to tolerate them, with a focus on little-studied interactions in lymph nodes, which are a frequent precursor to wider metastasis. We are analyzing tumor-immune interactions with a variety of high-throughput assays including RNA-seq and single-cell imaging. At the same time we are interested in determining how the effect of the immune system is modulated by other factors at tumor sites. Further information about the Center and scientific aims can be found at http://ccsb.stanford.edu. Start date: As soon as possible How to Apply: Please submit a CV, brief statement of interest, and have at least two references sent by email to Andrew Gentles: andrew DOT gentles AT stanford.edu Contact: Andrew Gentles[Click Here to Access the Original Job Post]
There are 2 opportunities for postdoctoral fellows with the Gentles and Diehn labs at Stanford, both analyzing genomic data in relation to treatment response and survival outcomes (see for example http://ccsb.stanford.edu/). One project is to develop and apply methods for identifying biomarkers and processes involved in lymph node and distant metastasis, initially focusing on public datasets. The second is focused on analyzing interactions with the immune system at primary tumor sites. We will also be generating new datasets on surgical specimens obtained at Stanford, to which the developed models will be applied and tested. Stanford has many opportunities for career development such as grant and paper writing workshops, entrepreneurial programs, and the ability to audit a wide variety of courses. Qualifications: Candidates should have, or be close to completing, a Ph.D. in computational biology, bioinformatics, or biostatistics; though those with a background in other quantitative computational fields may be considered. Strong computational skills as well as knowledge of machine learning and prediction methods are essential, as is a genuine interest in the scientific questions being investigated in the Center. Experience with a programming language suitable for biostatistical analysis (such as R or Python) is required, and UNIX/Linux cluster computing experience is strongly recommended. Experience with genomic analyses (microarray analyses, RNAseq analyses) is preferred; integration of large data sets, and analyses of multiple types of omics data would all be valuable assets. The candidate should have strong written and verbal English skills, communication and interpersonal skills. You will be working closely with experimental and clinical collaborators, so should be willing to communicate across disciplinary boundaries and take the initiative in projects. Attention to detail and ability to work on multiple projects are important.
Requeriments :
Skills :
- genomic
- Lunix/Unix
- Machine Learning
- Microarray
- Programing in Python
- Programing Skills
- Programming in R
- RNA-seq
Areas :
Additional Info:
The Stanford CCSB aims to identify mechanisms by which tumor cells “teach” the immune system to tolerate them, with a focus on little-studied interactions in lymph nodes, which are a frequent precursor to wider metastasis. We are analyzing tumor-immune interactions with a variety of high-throughput assays including RNA-seq and single-cell imaging. At the same time we are interested in determining how the effect of the immune system is modulated by other factors at tumor sites. Further information about the Center and scientific aims can be found at http://ccsb.stanford.edu. Start date: As soon as possible How to Apply: Please submit a CV, brief statement of interest, and have at least two references sent by email to Andrew Gentles: andrew DOT gentles AT stanford.edu Contact: Andrew Gentles[Click Here to Access the Original Job Post]