Postdoctoral Associate- Computational Biology, Proteomics, Proteogenomics
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7108059 (Ref #: 12728-en_US)
- Posting Date: Aug 13, 2022
- Application Deadline: Open Until Filled
Job Description
Summary
A postdoctoral position is available in Dr. Bing Zhang’s laboratory (http://www.zhang-lab.org) to work on proteomics and proteogenomics data analysis with application to precision oncology. Our research is funded by the National Cancer Institute (NCI), the Cancer Prevention and Research Institute of Texas (CPRIT), and the McNair Medical Institute at The Robert and Janice McNair Foundation.
We develop methods and tools for the analysis, interpretation, and dissemination of proteomics and proteogenomics data. We also participate in several large collaborative projects that generate multidimensional omics data at DNA, mRNA, protein, and clinical phenotype levels from human tumors, patient-derived xenografts (PDXs), and cancer cell lines. As one example, we led/co-led several CPTAC cancer proteogenomic studies that were published in Nature, Cell, and Cancer Cell. The candidate will participate in both method and tool development and biological applications. The candidate of this position is expected to independently carry out research projects in or related to the abovementioned. The position offers an excellent opportunity to conduct research in a supportive and stimulating environment, and to collaborate with bioinformaticians, biostatisticians, computer scientists, biologists, and clinicians.
Job Duties
- Develops novel proteomics and proteogenomics data analysis methods and algorithms.
- Researches and evaluates newly published methods and algorithms for integrating into our existing proteogenomics data analysis tools.
- Applies established tools and methods to cancer proteomics, immunopeptidomics, and proteogenomics studies.
- Publishes methods, software and application papers.
- Provides technical guidance, work direction and training to other lab members on areas of expertise.
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
- No experience required
Preferred Qualifications
- Ph.D. in bioinformatics, computer science, biostatistics, mathematics, cancer biology, or a related field.
- Experience in proteomics and/or multi-omics data analysis as demonstrated by peer-reviewed publications and/or software packages.
- Experience analyzing immunopeptidomics data.
- Experience analyzing phosphoproteomics data and/or other post-translational modification data.
- Experience with cancer proteogenomics studies.
- Knowledge about molecular biology and cancer biology.
- Experience with deep learning algorithms and frameworks.
- Experience with Amazon Web Services.
- Experience with NextFlow and Docker containers.
- Knowledge about statistics and machine learning algorithms.
- Strong programming skills (R and Python/Perl/Java).
- Programming in UNIX/LINUX environment.
- Strong presentation skills and written/verbal communication skills.
Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
12728
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Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
