Remote Bioinformatics Scientist: Biomarker Analytics

JobsInSAS.com; Argentina; Presencial; ARS 2.000.000 - 4.200.000; Jornada completa

Descripción de la vacante

Parexel is seeking a Bioinformatics Scientist to join the Precision Medicine / Bioinformatics team in a remote capacity from Argentina. The role focuses on biomarkers data analysis, pipeline automation, data quality oversight, and cross-study data integration.

You will collaborate with cross-functional teams and ensure compliant, reproducible analyses across studies. Key responsibilities include building data viewers with R Shiny, automating pipelines, and contributing to study planning and data

Formación

• Bachelor’s degree in Bioinformatics, Computational Biology, Life Sciences or related field.
• 4+ years of programming experience in life sciences or clinical research.
• Proven expertise in R, R Shiny, and Bash scripting.
• Experience with biomarker data analytics and proteomic data analysis.
• Proficiency with version control tools (Git/GitHub) and SOPs in regulated environments.
• Strong communication, organization, and problem-solving skills.

Responsabilidades

• Execute data analysis and visualization with minimal supervision, updating figures and pipelines.
• Run and optimize automated data processing pipelines with quality control and versioning.
• Build interactive data viewers using RMarkdown, Quarto, or Shiny for study exploration.
• Support cross-study database integration including data collation and harmonization.
• Contribute to experiment preparation and downstream submission steps.
• Maintain a reusable library of prompts, code snippets, and AI-assisted workflows.

Conocimientos

R programming

R Shiny

Biomarker analytics

GitHub

Python Bash scripting

AI tools

cross-functional collaboration

communication

Educación

Bachelor's degree in Bioinformatics/Computational Biology

Herramientas

Git/GitHub

Claude Code

Descripción del empleo

Parexel is seeking a Bioinformatics Scientist to join the Precision Medicine / Bioinformatics team in a remote capacity from Argentina. The role focuses on biomarkers data analysis, pipeline automation, data quality oversight, and cross-study data integration.

You will collaborate with cross-functional teams and ensure compliant, reproducible analyses across studies. Key responsibilities include building data viewers with R Shiny, automating pipelines, and contributing to study planning and data