Postdoctoral Research Associate - Computational Sciences
Postdoctoral Research Associate - Computational Sciences
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1 Vacancy
Job Description
The Ma laboratory has four active research areas all aimed at furthering our understanding on the genetic underpinnings of childhood cancers:
1. Cancer genomics etiology and editingbased close collaboration with physicianscientists we study the somatic and germline alterations across large cohort of patient tumors to define cancer drivers. By investigating the etiology of these drivers we hope to develop novel vulnerabilities for genomeediting based therapeutics.
2. Mathematical modeling of intratumor challenge of cancer management is resistance to treatment which has been shown to stem in intratumor heterogeneity. Therefore our lab is particularly interested in understanding intratumor heterogeneity and its relationship to treatment responses. Discoveries from such studies can lead to novel therapeutic strategies to improve cure.
3. Cancer early detection and cancers are known to have a much higher cure rate than latestage cancers. With extensive knowledges in the genetics of terminal stages of childhood cancers we hope to develop sensitive assays to accurately detect and forecast cancers before overt symptoms to enable early intervention. We use relapsed leukemia as a model system for this direction.
line and PDX validate and test the discoveries made from patient specimens we are currently characterizing the genetics of large collection of cell models which can also serve as an invaluable resource for the research community.
Closely working with the supervisor the postdoctoral fellow will propose conduct and present/publish research projects on the development and utilization of novel methods for investigating the genomic underpinnings of childhood cancers using patient cohort and cell line models with following main components: 1 cohort management to track and manage the progress of analyses; 2 executing and monitoring of established pipelines to ensure timely completion and reporting; 3 troubleshooting the pipeline or data when problems occur; 4 develop novel procedures for new analysis; 5 review of output data with the supervisor to ensure precise interpretation of findings and decisions on follow up experiments; 6 compilation of research findings to scientific presentations and publications.
The postdoctoral fellow will have extensive interactions with senior scientists in the team to learn established procedures and best practices to enhance computational and project management skills.
The postdoctoral fellow will have access to other resources to advance their professional development including those for grant writing scientific communications and research methodologies and access to exceptional core facilities and biostatistical/data science support.
Required:
Candidates should have a track record of productivity for example leading author papers or critical contributions to large projects; applicants from a quantitative field such as computational biology genetics/genomics statistics/mathematics physics or computer science are encouraged to apply; applicants are expected to have a strong knowledge in Molecular Biology Genetics and Statistics. Excellent communication and critical thinking skills are required.
Programming skills:
Python or Perl or C/C for data processing
R (for data processing exploration and figure generation)
Linux shell scripting
Office software:
Excelbased data analysis
Adobe Illustratorbased figure beautification
Word/EndNote or LaTexbased manuscript drafting
PowerPoint
Preferred:
Strong experience in next generation sequencing data analysis including whole genome exome transcription or targeted capture sequencing data analysis. Applicants with detailoriented mindset are preferred. Previous experience in managing and analyzing big and complex datasets is preferred.
Interested applicants should send a CV a cover letter describing their research interests and accomplishments and the names and addresses of 3 references to:
Contact Information
Xiaotu Ma PhD
Department of Computational Biology
St. Jude Childrens Research Hospital
262 Danny Thomas Place
Memphis TN 38105
Jude is an Equal Opportunity Employer
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Required Experience:
IC
Employment Type
Full-Time
