Job Description

Scientist, Precision Medicine / Bioinformatics (Quantitative Biomarker Sciences)

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

We are seeking a Scientist, Precision Medicine / Bioinformatics (Quantitative Biomarker Sciences) to join our team in a remote capacity. As a Bioinformatics Scientist, you will support clinical research activities that advance new treatments for patients. This position plays a key role in biomarker data analysis, pipeline automation, data quality oversight, and cross-study data integration. You'll collaborate with cross-functional teams, follow industry-standard processes and regulated practices, and contribute to study operations from planning through data delivery.

Responsibilities include executing well-defined analytical requests, maintaining data processing pipelines, performing quality control checks, building interactive data visualization tools, and supporting AI-assisted analysis code development. With diverse teams and continuous learning opportunities, this role offers pathways to deepen your expertise in precision medicine, biomarker science, and bioinformatics while making a meaningful impact on clinical research outcomes.

Key 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

Candidate Profile

• 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) and working within regulated environments with strict compliance practices
• Proficiency in Python and Bash scripting for data processing and automation
• Familiarity with AI tools and the ability to quickly learn emerging technologies
• Experience with biological, clinical, or preclinical data analysis in life sciences
• Strong communication and collaboration skills for working effectively in cross-functional environments
• Excellent English language proficiency (spoken and written)

Required 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

Preferred Qualifications

• Master's degree in Bioinformatics, Computer Science, Computational Biology, or related field
• Experience with Olink proteomic platform or other high-dimensional biomarker technologies
• Knowledge of cardiovascular, metabolic, immunology, hematology, oncology, renal, neurodegenerative, or rare genetic disease research
• Familiarity with basic statistical modeling fundamentals (linear/logistic models, survival analysis, multiple testing correction)
• Experience with Claude Code and other AI-assisted development tools

We offer a comprehensive benefits package to eligible employees. For a complete list of benefits, please visit

If this job doesn't sound like the next step in your career, but perhaps you know of someone who'd be a perfect fit, send them the link to apply!

We believe in flexibility, growth, and creating space for people to do their best work. Join us and be part of a team where your contributions help shape the future of clinical research.

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