Dr. Sheng Li’s lab at JAX-GM is seeking a computational biology postdoctoral associate who is interested in studying cancer epigenomics using large-scale genomics datasets. The Li Lab focuses on combining computational approaches and high throughput datasets to uncover novel mechanisms that contribute to drug resistance and cancer evolution. For additional information, visit the Li Lab online.
We are looking for applicants who are excited to work in the collegial, collaborative, interdisciplinary, and diverse research environment offered by The Jackson Laboratory.
Key Responsibilities:
- Develop computational, bioinformatics, and statistical approaches to address the challenges in cancer genome, epigenome, chromatin, and transcriptome data integration
- Analyze bulk and single-cell sequencing data sets from clinical studies to deconvolute cell populations and associated cellular phenotypes
- Work to identify molecular patterns and predictive markers for diagnosis and treatment
Requirements:
- PhD in Computational Biology, Biostatistics, Bioinformatics, or a related field with knowledge of statistics and an interest in working in an interdisciplinary computational biology and cancer research environment.
- Strong computational background, including proficiency in at least one programming language (Perl, Python, C++, etc.) and one data analysis software program (R, MATLAB, etc.). Linux experience is required.
- Research experience in next generation sequencing data analysis, especially in epigenomics, and utilization of publicly available bioinformatics resources.
- Excellent communication skills and fully fluent in both spoken and written English.
- A passion for solving cutting edge research problems of computational biology.
The following optional qualifications are considered advantageous:
- Knowledge of (and/or work experience with) machine learning/deep learning methods.
- Experience with large-scale data analysis using software pipelines in a HPC environment.
- Experience in software development.
Apply online and www.jax.org/postdoc or email CV to postdoc@jax.org and include Job ID number in subject line.