Bioinformatics Scientist

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. PAREXEL