Scientist, Precision Medicine / Bioinformatics (Quantitative Biomarker Sciences)

Parexel

About this Role

About Parexel

Parexel is a leading global clinical development partner delivering insights-driven clinical and consulting solutions to the life sciences industry. With 22,000+ employees worldwide, we partner with biopharmaceutical companies and research sites to design and deliver patient-focused clinical trials that broaden access and make research a care option for anyone, anywhere.

We work with focus, agility, and shared purpose -- moving with urgency to address patient needs and accelerate the delivery of new therapies. We embrace bold thinking, adapt quickly to change, and continually raise the bar for the speed and quality of clinical research. We are expanding our team and seeking talented individuals to help drive industry leading innovation, With Heart(R).

About the Role

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

You'll thrive in this role if you bring:

• 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

• Benefits and Compensation

• We offer a comprehensive benefits package to eligible employees. For a complete list of benefits, please visit www.parexel.com/us-benefits.

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