Bioinformatics Scientist

🔥 0 minutes ago

🌐 Argentina, Mexico, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇲🇽 Mexico – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✨ Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Parexel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1983

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Venture Round on 1990-01

Consulting • Healthcare • Logistics

Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.

📋 Description

• 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 • Package and publish outputs in agreed team formats • Support cross-study database integration through data collation, standardization, variable mapping, identifier harmonization, and validation • Contribute to experiment preparation, including 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 • Collaborate with cross-functional teams and contribute to study operations from planning through data delivery

🎯 Requirements

• Advanced proficiency in R programming and R Shiny for data analysis and interactive visualization • Strong expertise in biomarker data analytics, high-dimensional proteomic datasets, and data quality management • Experience with version control tools (GitHub) • Experience working within regulated environments with strict compliance practices • Proficiency in Python and Bash scripting for data processing and automation • Familiarity with AI tools and ability to quickly learn emerging technologies • Experience with biological, clinical, or preclinical data analysis in life sciences • Strong communication and collaboration skills for cross-functional environments • Excellent English language proficiency, spoken and written • 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 Git/GitHub and experience following SOPs in regulated environments • Strong communication, organization, and problem-solving skills • Preferred: Master's degree in a related field • Preferred: Experience with Olink proteomic platform or other high-dimensional biomarker technologies • Preferred: Knowledge of specified disease research areas • Preferred: Familiarity with statistical modeling fundamentals • Preferred: Experience with Claude Code and other AI-assisted development tools

🏖️ Benefits

• Comprehensive benefits package for eligible employees • Flexibility • Growth opportunities • Continuous learning opportunities