Scientific Manager – Immunology (Nanostring, Exome, RNA, CHIP) job with University of Texas MD Anderson Cancer Center

The Immunology department at MD Anderson Cancer Center seeks to determine the fundamental cellular and molecular mechanisms of a wide range of processes by which the body recognizes and eliminates pathogens and use these findings to unleash the patient’s own immune system against previously treatment-resistant cancers. Treating the immune system rather than the cancer itself, the therapeutics developed are applicable to many cancers.

Immunology

KEY FUNCTIONS

Management

  • Supervises computational scientists to perform data analysis on a variety of projects that include analysis, integration and interpretation of diverse data types for example, NGS datasets; single cell sequencing, exome sequencing, RNA-seq, ATAC-seq, TCR/BCR-seq, Array datasets; microarray, protein arrays, SNP arrays, gene and protein expression datasets; Nanostring and CYTOF, Image and spatial analysis datasets; CODEX, DSP and other experimental data in the setting of immunotherapy.
  • Develops and manages data analysis and data visualization tools and applies novel tools for data integration across diverse platforms which includes genomic, proteomic, clinical meta data and others as needed.
  • Leads and trains the bioinformatics group to investigate state-of-the-art statistical analysis tools and apply to multiple big datasets as needed.
  • Manages data storage and reporting for the platform and publications as needed.
  • Effectively presents data to the pharmaceutical or internal collaborators as needed.
  • Independently searches literatures in the field of bioinformatics and statistics, writes the bioinformatics analysis and methods section for manuscripts and grant applications.
  • Other duties as assigned.

Recruitment

  • Participates in all administrative activities and the recruitment of new computational scientists to IMT, including recruitment, education, evaluation and retention of competent and qualified personnel.

Development

  • Overviews the hardware and software requirements for high throughput data storage and analysis.
  • Recommends, schedules, and performs software improvements and upgrades.
  • Provides bioinformatics consultation for clinical and biological research projects.
  • Works closely with clinical scientists and provides custom solutions for sequencing, gene expression, proteomics and other data to expedite scientific project. #LI-MDACC

Education

Required: Bachelor’s degree in one of the basic sciences.

Preferred: Master’s degree or PhD in one of the basic sciences.

Experience

Required: Seven years relevant research experience to include two years in a supervisory/managerial capacity. With preferred Masters degree, five years of required experience to include two years in a supervisory/managerial capacity and with preferred PhD, three years of required experience to include two years in a supervisory/managerial capacity. Successful completion of the LEADing Self Accelerate program may substitute for one year of required supervisory or management experience.

Preferred: Nanostring analysis, exome sequencing, RNA-seq, CHIP-Seq, microarray and other experimental data in the setting of immunotherapy. Bioinformatics consultation for clinical and biological research projects.

Other

Required: Must pass pre-employment skills test as required and administered by Human Resources.

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