Research (Entry-level) - Cortez Lab - Jr Data Analyst at UPMC

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Preprocessing, Quality Control, Statistical Analysis, Genomics, Transcriptomics, Proteomics, Python, R, NGS Data Analysis, Automation, Bioinformatics, Documentation, Time Management, Multitasking, Prioritization

Industry

Hospitals and Health Care

Description

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.

Responsibilities

The analyst will perform data preprocessing, quality control, and statistical analysis on biological datasets, including genomics, transcriptomics, and proteomics data, utilizing programming languages like Python or R to implement NGS data analysis pipelines. They will also collaborate with immunologists and computational scientists while maintaining detailed documentation of methodologies and results.