University of Texas MD Anderson Cancer Center
Postdoctoral Fellow - Genetics - Van Loo's Lab
University of Texas MD Anderson Cancer Center, Houston, Texas, United States, 77246
We seek a talented and motivated postdoc in computational biology to join the Cancer Genomics and Evolution Laboratory of Peter Van Loo. Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes, and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data analysis to gain broad biological insight and on the development of computational methods to enable conceptually novel analyses. Since its inception, members of the Cancer Genomics laboratory have co-authored 18 papers in Nature, Science or Cell. Recent successes include pan-cancer studies of the evolutionary history of cancer (Gerstung et al., Nature 2020), intra-tumor heterogeneity (Dentro et al., Cell 2021), the mutational landscape in non-unique regions of the human genome (Tarabichi et al., Nature Biotechnology 2021), and biallelic mutations (Demeulemeester et al., Nature Genetics 2022).
LEARNING OBJECTIVESPostdocs will spearhead projects in cancer genomics and tumor evolution. They are expected to lead their own project, contribute to other projects on a collaborative basis (both within the lab and with external collaborators), and guide PhD students in their research. Trainees will present their findings at regular lab meetings, departmental seminars, and national and international conferences. Trainees will submit their findings for publication in peer-reviewed scientific journals. They will develop expertise in cancer genomics, single-cell genomes, data analysis, data interpretation, presentation, and manuscript and grant writing.
ELIGIBILITY REQUIREMENTSThe ideal candidate will have a Ph.D. in computational biology (bioinformatics, genomics, ...) and research experience in the field of cancer genomics, although we welcome applications from candidates with diverse educational backgrounds, including computational biology, physics, and (bio)statistics, biology or medicine. Applicants must have a proven publication record. A computational background is not strictly necessary, but you must be keen to work in a dry setting. Prior experience with handling massively parallel sequencing data is considered an advantage.
ADDITIONAL APPLICATION INFORMATIONInterested applicants should email pvanloo@mdanderson.org (1) a 1-page cover letter stating your general career objectives and research interests, (2) a CV with a publication list (max. 3 pages), and (3) a list of three references.
POSITION INFORMATIONMD 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 weekGroup Dental, Vision, Life, AD&D and Disability coveragePaid Education Vacation and Sick LeavePaid institutional holidays, wellness leave, childcare leave and other paid leave programsTeachers Retirement System defined-benefit pension plan and two voluntary retirement plansEmployer paid life, AD&D and an illness-related reduced salary pay programHealth Savings Account and Dependent Care Reimbursement flexible spending accountsFertility benefitsState of Texas longevity payExtensive wellness, fitness, employee health programs and employee resource groups
FACULTY MENTORPeter Van Loo, Ph.D.
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LEARNING OBJECTIVESPostdocs will spearhead projects in cancer genomics and tumor evolution. They are expected to lead their own project, contribute to other projects on a collaborative basis (both within the lab and with external collaborators), and guide PhD students in their research. Trainees will present their findings at regular lab meetings, departmental seminars, and national and international conferences. Trainees will submit their findings for publication in peer-reviewed scientific journals. They will develop expertise in cancer genomics, single-cell genomes, data analysis, data interpretation, presentation, and manuscript and grant writing.
ELIGIBILITY REQUIREMENTSThe ideal candidate will have a Ph.D. in computational biology (bioinformatics, genomics, ...) and research experience in the field of cancer genomics, although we welcome applications from candidates with diverse educational backgrounds, including computational biology, physics, and (bio)statistics, biology or medicine. Applicants must have a proven publication record. A computational background is not strictly necessary, but you must be keen to work in a dry setting. Prior experience with handling massively parallel sequencing data is considered an advantage.
ADDITIONAL APPLICATION INFORMATIONInterested applicants should email pvanloo@mdanderson.org (1) a 1-page cover letter stating your general career objectives and research interests, (2) a CV with a publication list (max. 3 pages), and (3) a list of three references.
POSITION INFORMATIONMD 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 weekGroup Dental, Vision, Life, AD&D and Disability coveragePaid Education Vacation and Sick LeavePaid institutional holidays, wellness leave, childcare leave and other paid leave programsTeachers Retirement System defined-benefit pension plan and two voluntary retirement plansEmployer paid life, AD&D and an illness-related reduced salary pay programHealth Savings Account and Dependent Care Reimbursement flexible spending accountsFertility benefitsState of Texas longevity payExtensive wellness, fitness, employee health programs and employee resource groups
FACULTY MENTORPeter Van Loo, Ph.D.
#J-18808-Ljbffr