Senior Manager, Data Science

September 1, 2026

Hybrid

Senior

Warsaw, Poland

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Description

A leading global biopharmaceutical organization seeks a Senior Manager, Data Science for their Drug Development Data Science and Advanced Analytics team. The role involves applying advanced computational, statistical, and biological approaches to accelerate drug development, working with complex multimodal datasets to generate actionable insights for clinical programs.

Responsibilities

Develop and apply computational methods for patient segmentation, biomarker discovery and hypothesis generation using multimodal clinical and omics datasets.
Analyse clinical trial and real-world datasets, including genomics, proteomics, imaging, flow cytometry and other high-dimensional biomarker data.
Develop approaches for integrating, mining and visualising complex datasets generated throughout drug development.
Build, test and validate predictive models and automated analytical processes at scale.
Apply modern AI/ML techniques, including deep learning, NLP, causal ML and explainable AI, across clinical development use cases.
Conduct rigorous statistical analyses including survival analysis, longitudinal and mixed-effects modelling.
Contribute to statistical and scientific strategies supporting clinical development, predictive biomarkers, precision medicine and innovative trial approaches.
Build reproducible, version-controlled analytical pipelines using Python, R and SQL, alongside cloud-based technologies.
Establish data-quality and model-evaluation frameworks to ensure analytical outputs are reliable and reproducible.
Collaborate with statisticians and cross-functional teams on exploratory data science analyses and statistical analysis plans.
Contribute to technical excellence through code reviews, mentoring and the development of robust analytical practices.
Communicate complex analytical findings clearly to both technical and non-technical stakeholders.
Coordinate resources and deliver high-quality analytical outputs across multiple concurrent projects.

Requirements

PhD in a relevant quantitative discipline or Master's degree with relevant industry experience.
Strong experience in data science and statistical analysis with clinical trial or electronic health record data.
Experience developing and validating statistical and machine learning models for time-to-event, longitudinal and multivariate outcomes.
Proficiency in Python, R, and SQL with experience using cloud platforms such as AWS, Azure or Databricks.
Familiarity with clinical trial design, drug development processes and the use of biomarkers in clinical and regulatory decision-making.
Strong problem-solving, analytical and collaborative skills.
Ability to manage multiple projects in a fast-paced environment.
Excellent communication, data presentation and visualisation capabilities.
Preferred experience in genomics, proteomics, NLP, survival analysis, causal ML, and scalable cloud computing.

Conditions

Hybrid work arrangement with on-site requirements may apply.
Annual compensation between PLN 354,470 and PLN 429,541.
Additional incentive and equity opportunities may be available depending on eligibility and experience.
Opportunity to work at the intersection of data science, AI/ML, statistics and drug development.

PythonRSQLbiopharmaceuticalAWSAzureDatabricks

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