Senior Associate Biomarker Data Scientist

Parexel International; United Kingdom; Remote; GBP 75,000 - 110,000; Full time

Job summary

Parexel International is seeking a Senior Associate Biomarker Data Scientist to join a sponsor-facing biomarker analytics program. The role is remote-based, with eligibility to work in UK and other specified EMEA countries.

The position focuses on building and maintaining biomarker analytics pipelines, developing R packages, and collaborating with scientists to ensure timely delivery of analyses. Strong programming in R, Shiny, and SQL is expected.

Qualifications

• Experience in open-source programming such as R, R Shiny, and bash.
• Experience using version control tools (git).
• Experience using Claude Code and other AI tools.

Responsibilities

• Pipeline and R package development: Runs, monitors, and maintain existing analysis pipelines, internal R packages and report templates.
• Data Operations and QC: Manage end-to-end data flow, organize on internal servers with proper folder structure, and ensure reproducibility.
• Open Source Code Development: Claude Code sharing and optimization: maintain a reusable library of prompts/snippets/skills and standards.

Skills

Open-source programming

Version control

Team collaboration

Adaptability

Education

BS in Bioinformatics/CS/Computational Biology/Life Sciences

MS is a plus

Tools

R

R Shiny

bash

git

Claude Code

SQL

PostgreSQL

ETL

HTML/CSS/JavaScript basics

Job description

Parexel is looking for a Senior Associate Biomarker Data Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:

United Kingdom

Germany

France

Spain

Romania

Serbia

Lithuania

Poland

The Senior Associate Biomarker Data Scientist is a quantitative data science role that supports analysis, pipeline execution, maintenance, and enhancements to established biomarker analytics workflows. The role may also assist in the development of tools for operational program tracking and shared AI-assisted coding standards. The position may also involve running and tuning existing pipelines (including flow cytometry automated gating), and well-scoped improvements to ensure deliverables and analyses are delivered on time.

Job Responsibilities

Pipeline and R Package Development:

• Runs, monitors, and maintain existing analysis pipelines, internal R packages and report templates including interactive data exploration tools
• Version control & collaboration: contribute via git (branching, pull requests, code review), and coordinate handoffs.
  

Data Operations and QC:

• Manage end-to-end data flow: requesting data from BDM, tracking delivery, organizing on internal servers with proper folder structure and data cut documentation.
• Prepare and send sample lists to sample management and other departments upon request
• Works with scientists to harmonize heterogeneous formats, for the ongoing ingestion of biomarker data into common data formats
• Reproducibility & QC: maintain run logs, validate outputs against expected formats/metrics, and ensure raw vs processed outputs are stored according to team conventions.
• Support project & deliverable trackers: maintain a robust tracking system for analysis/pipeline deliverables (status, owners, due dates, dependencies, links to locations), and provide concise visibility for stakeholders.

Open Source Code Development:

• Claude Code sharing and optimization: maintain a reusable library of prompts/snippets/skills for common tasks (e.g., data viewer creation), define standards (style, testing, documentation), and provide light enablement to ensure consistent AI-assisted workflows.
  

Job Requirements

Technical Skills:

• Experience in open-source programming such as R, R Shiny, and bash
• Experience using version control tools (git)
• Experience using Claude Code and other AI tools
• SQL, database design (PostgreSQL/similar), ETL pipelines
• HTML/CSS/JavaScript basics
  

Other Skills:

• Familiarity with basic statistical modeling fundamentals (linear/logistic models, survival concepts, multiple testing awareness)
• QC mindset and validation
• Good communication and collaboration skills.
• Comfortable with quick paced environment
  

Required Special Equipment and/ or programs

• R/ R/Python, R Shiny, bash
  

Required Education

BS. (MS. is a plus) in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or related discipline with 2+ years of programming experience, preferably in life sciences processing molecular data and or clinical trial data in the biotechnology, pharmaceutical, or health-related industry.