Postdoctoral Fellow - Bioinformatics & Computational Biology - MD Anderson
Houston, TX
About the Job
We are seeking outstanding applicants for Postdoctoral positions to work on single cell genomic evolution driven research under the supervision of Dr. Ken Chen (http://faculty.mdanderson.org/Ken_Chen/) in the Department of Bioinformatics and Computational Biology.
Dr. Ken Chen is an award-winning researcher/mentor, who had over 19-year professional experience in computational cancer biology. His lab focuses on characterizing the genomic, transcriptomic, and proteomic profiles of normal and tumor samples and match with evidence-based targeted- and immuno- therapies (Personalized therapy of Cancer) for better outcomes. New high throughput technologies such as single-cell sequencing are often utilized to dissect novel clones, reconstruct clonal evolutionary architecture, and identify molecular mechanisms responsible for pathogenesis. For this position, we are particularly interested in candidates with genomics, population genomics, and phylogenetics experience. The lab has been well funded by NIH, the Cancer Prevention and Research Institute of Texas, Chan-Zuckerberg Initiative, Andy Sabin Foundations, and MD Anderson Moonshots with lots of collaborative opportunities in the area of immunotherapy and targeted therapy. Former trainees in the lab have routinely published first-author papers in top computational biology journals such as Nature Methods and have secured leadership positions in either academia or industry. More information about the lab is available at https://www.mdanderson.org/research/departments-labs-institutes/labs/ken-chen-laboratory.html
LEARNING OBJECTIVES
1. Research: mutational profiling at single cell resolution, phylogenetics techniques to characterize tissue heterogeneity and construct representations of clonal evolution.
2. Expose to broad subjects in data-driven biomedical science
3. Produce high profile publications, obtain grant writing experience
4. Develop open-source computational tools for wide-adoption
ELIGIBILITY REQUIREMENTS
- Ph.D. in Math/Statistics/Physics, Bioinformatics/Bio-stats, Computer Science/Engineering
- Experience developing and disseminating novel computational tools
- Experience analyzing and interpreting high-throughput data such as DNA and RNA sequencing, single-cell sequencing/imaging data
- Proficient in programming languages such as Python, Java, R, Matlab, C/C++
- At least 2 first-author publications in peer reviewed journals.
POSITION INFORMATION
MD Anderson follows the NIH stipend levels as outlined by the Kirchstein - NRSA. This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience.
MD Anderson offers compensated trainees:
- Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week
- Group Dental, Vision, Life, AD&D and Disability coverage
- Paid Education Vacation and Sick Leave
- Paid institutional holidays, wellness leave, childcare leave and other paid leave programs
- Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
- Employer paid life, AD&D and an illness-related reduced salary pay program
- Health Savings Account and Dependent Care Reimbursement flexible spending accounts
- Fertility benefits
- State of Texas longevity pay
- Extensive wellness, fitness, employee health programs and employee resource groups
Dr. Ken Chen is an award-winning researcher/mentor, who had over 19-year professional experience in computational cancer biology. His lab focuses on characterizing the genomic, transcriptomic, and proteomic profiles of normal and tumor samples and match with evidence-based targeted- and immuno- therapies (Personalized therapy of Cancer) for better outcomes. New high throughput technologies such as single-cell sequencing are often utilized to dissect novel clones, reconstruct clonal evolutionary architecture, and identify molecular mechanisms responsible for pathogenesis. For this position, we are particularly interested in candidates with genomics, population genomics, and phylogenetics experience. The lab has been well funded by NIH, the Cancer Prevention and Research Institute of Texas, Chan-Zuckerberg Initiative, Andy Sabin Foundations, and MD Anderson Moonshots with lots of collaborative opportunities in the area of immunotherapy and targeted therapy. Former trainees in the lab have routinely published first-author papers in top computational biology journals such as Nature Methods and have secured leadership positions in either academia or industry. More information about the lab is available at https://www.mdanderson.org/research/departments-labs-institutes/labs/ken-chen-laboratory.html
LEARNING OBJECTIVES
1. Research: mutational profiling at single cell resolution, phylogenetics techniques to characterize tissue heterogeneity and construct representations of clonal evolution.
2. Expose to broad subjects in data-driven biomedical science
3. Produce high profile publications, obtain grant writing experience
4. Develop open-source computational tools for wide-adoption
ELIGIBILITY REQUIREMENTS
- Ph.D. in Math/Statistics/Physics, Bioinformatics/Bio-stats, Computer Science/Engineering
- Experience developing and disseminating novel computational tools
- Experience analyzing and interpreting high-throughput data such as DNA and RNA sequencing, single-cell sequencing/imaging data
- Proficient in programming languages such as Python, Java, R, Matlab, C/C++
- At least 2 first-author publications in peer reviewed journals.
POSITION INFORMATION
MD Anderson follows the NIH stipend levels as outlined by the Kirchstein - NRSA. This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience.
MD Anderson offers compensated trainees:
- Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week
- Group Dental, Vision, Life, AD&D and Disability coverage
- Paid Education Vacation and Sick Leave
- Paid institutional holidays, wellness leave, childcare leave and other paid leave programs
- Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
- Employer paid life, AD&D and an illness-related reduced salary pay program
- Health Savings Account and Dependent Care Reimbursement flexible spending accounts
- Fertility benefits
- State of Texas longevity pay
- Extensive wellness, fitness, employee health programs and employee resource groups
Source : MD Anderson