Remote Bioinformatics Scientist for Precision Medicine

Parexel

Argentina

Remote

ARS 98,446,000 - 143,883,000

Full time

14 days+

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Job summary

Parexel is seeking a Scientist, Precision Medicine / Bioinformatics (Quantitative Biomarker Sciences) to join remotely. You will support clinical research with biomarker data analysis, pipeline automation, data quality oversight, and cross-study integration.

Responsibilities include building interactive data viewers, maintaining processing pipelines, and contributing to AI-assisted analysis development. Collaboration across cross-functional teams and adherence to industry practices are essential

Qualifications

Bachelor's degree in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or related discipline.
4+ years of programming experience, preferably in life sciences or clinical research environments.
Demonstrated expertise in R programming, R Shiny, and Bash scripting.
Hands-on experience with biomarker data analytics and proteomic data analysis.
Proficiency with version control tools (Git/GitHub) and experience following SOPs in regulated environments.
Strong communication, organization, and problem-solving skills.

Responsibilities

Execute data analysis and visualization tasks with minimal supervision, including figure and analysis updates, pipeline execution, data quality control, and results delivery.
Run and optimize automated data processing pipelines, perform routine quality control on outputs, document run parameters and versions, and generate analytical outputs.
Build and refresh interactive data viewers using RMarkdown, Quarto, or Shiny for single-study and cross-study data exploration; package and publish outputs in agreed team formats.
Support cross-study database integration activities including data collation, standardization, variable mapping, identifier harmonization, and validation.
Contribute to experiment preparation activities such as generating balanced sample layouts and coordinating downstream submission steps.
Maintain a reusable library of prompts, code snippets, and workflows for common bioinformatics tasks; establish coding standards and provide guidance on AI-assisted analysis workflows.