Postdoc: Cancer Epidemiology & Real-World Data

Baylor College of Medicine

Houston (TX)

On-site

USD 56,000 - 68,000

Full time

13 days ago

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Job summary

Baylor College of Medicine invites applications for a Postdoctoral Associate in Cancer Epidemiology within the Section of Epidemiology and Population Sciences. The program trains fellows to combine traditional epidemiologic methods with real-world data, AI, and NLP to advance cancer research.

Work with collaborators from MD Anderson, Rice University and UTHealth in a collaborative, mentorship-rich environment. The position is onsite in Houston, TX, with a 8 a.m.–5 p.m.

Qualifications

  • MD or PhD in Basic Science, Health Science, or a related field.
  • No experience required.
  • Experience with next generation sequencing data analysis is a plus.
  • Knowledge in cancer biology or genetics is preferable.

Responsibilities

  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/exome) to address research questions.
  • Uses state-of-the-art bioinformatical and statistical tools.
  • Develops new statistical methods to answer biological questions.
  • Prepares manuscripts, abstracts, and presentations for journals and conferences.
  • Ensures compliance with data security guidelines for handling sensitive data.
  • Conducts advanced analysis of large-scale biomedical datasets to support research.
  • Collaborates with multidisciplinary teams in a team-oriented environment.
  • Participates in the training program and mentors trainees.
  • Develops methodologies for use in electronic medical records to improve patient outcomes.

Skills

team work
english writing
NGS data analysis
cancer biology
bioinformatics

Education

MD/PhD in Basic Science

Job description

Baylor College of Medicine invites applications for a Postdoctoral Associate in Cancer Epidemiology within the Section of Epidemiology and Population Sciences. The program trains fellows to combine traditional epidemiologic methods with real-world data, AI, and NLP to advance cancer research.

Work with collaborators from MD Anderson, Rice University and UTHealth in a collaborative, mentorship-rich environment. The position is onsite in Houston, TX, with a 8 a.m.–5 p.m.

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