Research (Entry-level) - Cortez Lab - Jr Data Analyst
University of Pittsburgh
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.
The University of Pittsburgh is an equal opportunity employer / disability / veteran.