Research Associate Jobs

About The Position

Requirements

• Doctoral degree. If not yet conferred, a letter from the school's official Graduate Office and/or Registrar's Office certifying that all requirements have been met and stating the degree conferral date can be accepted.
• Employees in this job may be responsible for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role.

Nice To Haves

• Experience processing large genomic and/or methylation array datasets.
• Experience designing and implementing polygenic risk scores (PRS) or methylation risk scores (MRS.)
• Experience with genome-wide (GWAS) or epigenome-wide (EWAS) association studies.
• Experience applying machine-learning approaches to biological data analysis.
• Proficiency in at least one relevant programming language (e.g. R or Python.)
• Proficiency in a UNIX-based high-performance computing environment.
• Experience with workflow automation and reproducible analysis using Snakemake, Nextflow, or similar platforms.

Responsibilities

• Execute analysis independently, collect data and maintain reproducible notes and workflows, and keep up to date with the most recent literature in the field of study.
• Write manuscripts and prepare materials for scientific presentations.
• Presentation of project results to internal and external parties.
• Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and reliability of data, designing and writing programs to perform analyses, and producing written reports on the result of the analyses.
• Write research results for publication (i.e. Clearly summarize data for analysis, prepare needed figures for publication and participate in preparing revisions of manuscripts).
• Provide knowledge and help with analysis as requested by graduate students.
• Design of scientific studies using existing genomic datasets.
• Conduct computational and statistical analysis on human genomic datasets.
• Coordinate multi-level scientific teams as part of ongoing internal, national, and international collaborations.
• Manage regulatory (e.g. IRB) and budgetary aspects of a scientific research project.
• Contribute to grant proposals, preparing manuscripts and presentations and present to scientific, professional, and community audiences and stakeholders.
• Manage and mentor students and trainees.
• Stay current with emerging trends and scientific literature in human genomics.

Benefits

• Commensurate with experience
• TRS Eligible