Job Description:
We are seeking a postdoctoral associate in cancer genomics and personalized medicine who will be responsible for computational method development, data analysis, and experimental design. The qualified candidate will integrate information from a combination of sources, including high throughput screens, proteomic, and next-gen sequencing data in order to generate and validate hypotheses of therapeutic relevance to pancreatic cancer. The ideal candidate will have excellent qualifications in a quantitative/computational field with a strong interest in learning cancer biology and/or wet bench techniques. Candidates from a largely wet bench background with a Ph.D. may be considered if the quantitative/computational background is excellent. Minimum Qualifications: To be successful, the candidate must have experience in and interested in developing several of the following skill-sets:
Additional Info:
A Lineberger Comprehensive Cancer Center Research Laboratory aims to understand the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate its treatment. Using a combination of molecular and genomic data, and human in mouse models, we have identified four core subtypes in pancreatic cancer with important biologic and clinical implications. [Click Here to Access the Original Job Post]
We are seeking a postdoctoral associate in cancer genomics and personalized medicine who will be responsible for computational method development, data analysis, and experimental design. The qualified candidate will integrate information from a combination of sources, including high throughput screens, proteomic, and next-gen sequencing data in order to generate and validate hypotheses of therapeutic relevance to pancreatic cancer. The ideal candidate will have excellent qualifications in a quantitative/computational field with a strong interest in learning cancer biology and/or wet bench techniques. Candidates from a largely wet bench background with a Ph.D. may be considered if the quantitative/computational background is excellent. Minimum Qualifications: To be successful, the candidate must have experience in and interested in developing several of the following skill-sets:
- Thorough knowledge of cancer biology, epigenetics, proteomics, and transcriptomics
- Familiarity with next-generation sequencing data analysis tools
- Experience working in Linux environments, including batch job management on shared computing resources
- Familiarity with a variety of supervised and unsupervised classification techniques
- Proficiency in one or more statistical or scripting languages, preferably R or MATLAB
- Knowledge of survival-based statistical analysis, e.g. Cox regression and Kaplan-Meier analysis
- Working knowledge of best-practices for machine learning to avoid over fitting
- Familiarity with common experimental techniques in molecular biology
- Ability to communicate scientific material and collaborate well with computational and non-computational partners
- Excellent oral and written communication skills and the ability to perform both self-directed and guided research
- Outstanding personal initiative and the ability to work effectively as part of a team
- Willingness to assist in the mentorship and training of pre-doctoral researchers
- Ph.D. in a quantitative/computational field or a Ph.D. with an equivalent certificate in a quantitative/computational field is required.
- Have experience in handling large datasets and have applied/developed computational algorithms in the context of molecular biology.
- Have a thorough understanding of common statistical tests and distributions.
- Be able to collaborate with experimental team members for validation of computational results.
- Be comfortable maintaining datasets, as well as displaying and interpreting processed data for publication.
- ¢Work alongside domain experts in the optimization and development of experimental measurement platforms and protocols.
Requeriments :
Skills :
- Cancer biology
- Cancer Genomics
- Lunix/Unix
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Programming in Matlab
- Programming in R
- Statistics
- Transcriptomics
Areas :
Additional Info:
A Lineberger Comprehensive Cancer Center Research Laboratory aims to understand the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate its treatment. Using a combination of molecular and genomic data, and human in mouse models, we have identified four core subtypes in pancreatic cancer with important biologic and clinical implications. [Click Here to Access the Original Job Post]