Research Data Analyst - Baltimore, United States - Johns Hopkins University

Mark Lane

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Mark Lane

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Description

The Johns Hopkins Bloomberg School of Public Health is consistently ranked the #1 School of Public Health in the world.

It is dedicated to promoting human health and provides a rich environment for research and translation of those findings.

Additionally, our research team is affiliated with the Department of Epidemiology and Wendy Klag Center for Autism & Developmental Disabilities (WKC).

As a member of our research team, you will have an opportunity to attend journal clubs, meetings, and annual symposia and retreat events.


Specific Duties & Responsibilities

  • Work in collaboration with scientists and core staff to address research questions involving the analysis of genetic and environmental risk hypotheses.
  • Carry out data analyses for large genomic and epidemiologic datasets, including genetic, epigenetic, expression, and other omics data including summary measures of omics data such as polygenic risk scores.
  • Mine publicly available omic databases.
  • Identify systematic problems with data related to lab or data cleaning methods, software, or personnel.
  • Document work and data analyses, particularly through organized digital records of data set sources, file locations, and statistical and bioinformatics code.
  • Interpret and translate the results of statistical analyses.
  • Clearly summarize and present findings at team meetings.
  • Prepare written reports of statistical analyses, including relevant statistical theory, references, methods, results, and conclusions to contribute to scientific publications.
  • Keep abreast of technical and academic resources related to the methodology of statistical analyses.

Minimum Qualifications

  • Bachelor's Degree in related discipline.
  • Three years related experience.
  • Additional education may substitute for required experience to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

  • Master's Degree, with specific training in genomics.
  • Experience performing analyses on a highperformance compute cluster utilizing parallelization and multithreading.
  • Experience in data management and analysis of highdimensional or longitudinal data is preferred.
  • A strong research record in genetic epidemiology including experience in genetic association (GWAS), epigenomic or other omics analysis, postGWAS analysis, and polygenic score or exome sequencing data experience is highly desirable.

Classified Title:
Research Data Analyst


Role/Level/Range:
ACRP/04/MC

Starting Salary Range:
$47,500 - $83,300 Annually (Commensurate with experience)

Employee group:
Full Time

Schedule:
Monday to Friday: 9 am - 5 pm

Exempt Status:
Exempt


Location:
Hybrid/School of Public Health


Department name:
Epidemiology

Personnel area:
School of Public Health

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