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Research; Entry-level - Cortez Lab - Jr Data Analyst

Job in Pittsburgh, Allegheny County, Pennsylvania, 15201, USA
Listing for: University Of Pittsburgh
Full Time position
Listed on 2026-02-22
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Job Description & How to Apply Below
Position: Research (Entry-level) - Cortez Lab - Jr Data Analyst
We are looking for a junior data analyst to join the Cortez laboratory in the Department of Immunology at the University of Pittsburgh.

The analysts will work closely with Dr. Victor S. Cortez , Assistant Professor, and the members of the Cortez lab.

Data Analysis:
Perform data preprocessing, quality control, and statistical analysis of biological datasets, including genomics, transcriptomics, and proteomics data.

Coding and Programming:
Utilize programming languages such as Python, or R, to implement NGS (bulk or single cell) data analysis pipelines, automate processes, and perform statistical analysis.

Collaboration:

Collaborate with immunologists and computational scientists to effectively integrate bioinformatics analysis into research projects.

Documentation:
Maintain accurate and detailed documentation of methodologies, protocols, and results to facilitate reproducibility and data sharing.

Time Management:
Ability to multitask, prioritize tasks, and meet deadlines in a fast-paced research environment.

Education:

Bachelor's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.

Coding and Programming - At least 1 year of experience:
Comfortable with programming languages such as Python, or R. should be able to use Jupyter lab note books and/or RStudio.

The Cortez Lab offers a stimulating and supportive work environment with opportunities for professional growth and development. The successful candidate is expected to contribute to cutting-edge research projects and make a significant impact in the fields of immunology and bioinformatics. If you are passionate about bioinformatics, have a strong coding background, and enjoy working in a dynamic research environment, we encourage you to apply.

Please submit your resume, cover letter, and any relevant coding examples or projects.
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