Postdoctoral position in epidemiological data

Location: United States
Application Deadline: Open until filled
Published: 4 weeks ago

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Postdoctoral candidates should have R statistical software expertise and experience in executing and interpreting machine learning algorithms and using epidemiological data. Projects include analyses of existing large scale -omics data such as genome-wide DNA methylation, transcriptomics and epigenetic aging from multiple human cohorts and studies. The candidate will have access to a vibrant research community at Stanford, data science experts, methodologists and join a dynamic research team. The scholar will have access to pilot funding and data to further develop an independent research career. The scholar will work in a multidisciplinary collaborative environment.

Responsibilities:

• Apply machine learning algorithms and estimation methods to existing epidemiological data.
• Execute analyses of existing large scale -omics data such as genome-wide DNA methylation, transcriptomics and epigenetic aging from multiple human studies.
• Expected to report results at scientific conferences and disseminate findings in publications.

Required Qualifications:

• PhD in one of a variety of fields, including but not limited to epidemiology, biostatistics, or environmental health.
• Experience using R statistical software.
• Experience with epidemiological analyses and application of machine learning methods.
• Previous experience with analyses of large-scale DNA methylation data is desirable, bioinformatics and using Bioconductor.
• Proven record of scientific publications.

Required Application Materials:
  • CV
  • Cover letter that describes their professional qualifications along with contact information for three references

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

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