Parexel
Senior Associate Biomarker Data Scientist
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Job Responsibilities
Pipeline and R Package Development:
- Runs, monitors, and maintains 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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Open Source Code Development:
- 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 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location