Remote Bioinformatics Scientist, Biomarker Analytics

Parexel International; United States; Remote; USD 100,000 - 160,000; Full time

Job summary

Parexel International is seeking a Bioinformatics Scientist in a remote capacity to support precision medicine and biomarker analyses across studies. You will automate pipelines, ensure data quality, and contribute to cross-study integration while collaborating with cross-functional teams in a regulated environment.

Ideal candidates have strong R, Shiny, Python, and Bash skills, with 4+ years in life sciences data analysis and experience with proteomic datasets.

Qualifications

• BS in Bioinformatics, CS, Computational Biology, Life Sciences or related field.
• 4+ years of programming experience in life sciences or clinical research.
• Proficiency in R, R Shiny, and Bash scripting.
• Experience with biomarker data analytics and proteomic data analysis.
• Experience with Git/GitHub and SOPs in regulated environments.
• Strong communication, organization and problem-solving.

Responsibilities

• Analyze data and create visualizations with minimal supervision.
• Run and optimize automated data pipelines andQC outputs.
• Build interactive data viewers using RMarkdown, Quarto or Shiny.
• Support cross-study data integration and standardization.
• Develop reusable bioinformatics prompts and coding standards.

Skills

R programming

R Shiny

Python

Bash scripting

Data visualization

Biomarker analytics

Git/GitHub

AI tools familiarity

Communication

Collaboration

Education

Bachelor's degree in Bioinformatics or related

Master's degree preferred

Tools

GitHub

R

RStudio

Quarto

Shiny

Job description

Parexel International is seeking a Bioinformatics Scientist in a remote capacity to support precision medicine and biomarker analyses across studies. You will automate pipelines, ensure data quality, and contribute to cross-study integration while collaborating with cross-functional teams in a regulated environment.

Ideal candidates have strong R, Shiny, Python, and Bash skills, with 4+ years in life sciences data analysis and experience with proteomic datasets.