Postdoctoral Associate at Baylor College of Medicine
Houston, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

62232.0

Posted On

09 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cancer Biology, English, Medicine, Data Analysis, Epidemiology, Genetics, Bioinformatics

Industry

Information Technology/IT

Description

SUMMARY

The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for postdoctoral research in systems epidemiology of cancer. This is a 3-year flexible program with personalized educational curricula and individually tailored multidisciplinary teams of mentors with ongoing research in a variety of pediatric and adult cancers. The training provides epidemiology and bioinformatics fellows with the specialized skills to incorporate novel high-throughput technologies into large-scale collaborative epidemiology studies and to become successful, cross-trained researchers. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics.

MINIMUM QUALIFICATIONS

  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

PREFERRED QUALIFICATIONS

  • Ph.D. in Epidemiology or Bioinformatics.
  • Excellence writing skills in English.
  • Experience with next generation sequencing data analysis is a plus.
  • Knowledge in cancer biology or genetics is preferable.
    Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Responsibilities
  • Assists with the production of routine financial reports and documents.
  • Assists with processing labor distribution, budget and expense reports, and other financial documents in SAP and Concur.
  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNS-seq, whole genome/exome sequencing).
  • Uses state-of-the-art bioinformatical and statistical tools.
  • Develops new statistical methods to answer biological questions that arise in the research.
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