Do you want to be part of a team pushing the boundaries of immunology to help autoimmune patients reclaim their lives?
Proclinical is seeking a Biomarker Data Scientist to oversee analytical biomarker strategies and data analysis for clinical programs. This role involves working on both early and late-stage development projects, contributing to biomarker-driven study designs, and advancing decision-making through quantitative methods. You will collaborate with cross-functional teams to ensure robust data analysis and reproducible science while leveraging modern computational tools and platforms.
Responsibilities:
- Oversee statistical analysis for biomarker strategies in autoimmune and immunological disorder trials.
- Translate exploratory research questions into testable quantitative strategies and implement robust analyses, including longitudinal models and time-to-event analysis.
- Interpret and report results to drive program decisions and communicate findings to stakeholders.
- Conduct innovative analysis of biomarker and multi-omics data, integrating across modalities such as transcriptomics, proteomics, and metabolomics.
- Set standards for reproducible data analysis workflows and mentor teams in advanced R practices for bioinformatics.
- Champion data reusability and traceability best practices, ensuring compliance for regulatory interactions when required.
- Partner with teams to develop biomarker dashboards and visualizations using tools like R-Shiny or Spotfire.
- Utilize modern compute collaboration tools, including Git workflows, cloud platforms, and data engineering patterns.
- Provide thought leadership in biomarker analysis and contribute to regulatory meetings as needed.
Key Skills and Requirements:
- Advanced degree in Biostatistics, Biomedical Science, Bioengineering, or a related field.
- Proficiency in R and Bioconductor package ecosystems; experience with Python for scientific computing and machine learning is a plus.
- Expertise in biomarker methods, including surrogate markers, diagnostic and prognostic methods, and pharmacodynamic analysis.
- Strong communication skills to translate complex statistical findings for cross-functional teams.
- Experience with statistical methods for high-dimensional biomarker data, including feature engineering, dimensionality reduction, and survival analysis.
- Hands-on experience with machine learning workflows and familiarity with cloud-based platforms like Databricks and Snowflake.
- Knowledge of CDISC standards and submission metadata.
- Familiarity with dashboarding tools such as R-Shiny or Spotfire.
- Ability to work on-site in Ghent for two days per week.
If you are having difficulty in applying or if you have any questions, please contact Tom Magenis at t.magenis@proclinical.com.
If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.
Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.
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