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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining production data pipelines, implementing CDISC standards, and collaborating with data scientists in a regulated GxP environment. Proficient in Python and familiar with machine learning workflows, ensuring data quality and reproducibility.
Highest-signal resume keywords
CDISC StandardsPython ProgrammingData Pipeline DevelopmentWorkflow Orchestration ToolsClinical Trial Data Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ValidationMachine Learning PreparationStatistical ModellingAutomated TestingData VersioningFeature Table CreationData Transfer SpecificationReproducible EnvironmentsData Quality ChecksClinical Data Structures
Soft Skills
CollaborationCommunicationCuriosity
Tools & Technologies
DagsterAWSDockerKubernetesDVCMLflowPandasNumPyPanderaPytest
Industry Keywords
GxPISO 13485Clinical TrialsRespiratory Disease TrialsInterstitial Lung Disease TrialsMedical Imaging DataDICOM Format
Tech Stack
Tools & technologiesAWSCloudDockerKubernetesNumpyPandasPython
About the role
Key responsibilities & impact- Prepare clinical trial data from sponsors and CROs to each study’s data transfer specification
- Build analysis-ready datasets for modelling and machine learning, including ADaM-style datasets where required
- Design, build and maintain reproducible pipelines combining imaging biomarkers and clinical data
- Build on existing Dagster study pipelines, analytics workflow libraries and the Qureight platform
- Build and test pipelines against dummy or interim data before database lock
- Deliver CDISC formats, including SDTM and ADaM, where required
- Work with Data Scientists to understand analytical workflows and automate repetitive steps
- Implement versioned data, code and environments, with lineage and validation checks
- Develop shared tooling, templates and libraries for standardised analysis workflows
- Help Data Scientists move code from notebooks into tested workflows
- Support traceability and change control expected in a regulated GxP environment
- Collaborate with Qureight’s Data Engineering team and share standards, best practices and ideas
Requirements
What you’ll need- Proven experience as a Data Engineer or clinical data programmer, ideally working closely with data scientists, analysts or researchers
- Hands-on experience with CDISC standards, particularly SDTM and ADaM, on clinical trial data
- Experience handling clinical trial data from sponsors or CROs, including data transfers, EDC extracts, visit structures and database lock
- Strong Python skills gained in a commercial setting, including pandas, NumPy, pandera and pytest
- Experience building and maintaining production data pipelines with automated testing and CI/CD
- Experience implementing data validation and quality checks
- Experience with workflow orchestration tools such as Dagster and cloud infrastructure on AWS
- Good working understanding of data science workflows, including statistical modelling and machine learning
- Understanding of clinical trial data structures and uses, including endpoints, visit schedules and missing data
- Strong collaboration and communication skills, with a service-minded collaborative approach
- Curiosity to understand where data comes from and how it will be used
- Experience with data versioning and experiment tracking tools such as DVC, MLflow or Dagster asset lineage
- Experience preparing data for machine learning and longitudinal modelling, including feature tables and leakage-avoiding train/test splits
- Experience with containerisation and reproducible environments such as Docker and Kubernetes
- Experience with medical imaging data such as CT or MRI in DICOM format or clinical trial data
- Experience working in regulated, GxP or ISO 13485 environments
- Experience in respiratory or interstitial lung disease trials
Benefits
Comp & perks- Annual bonus plan
- Private medical insurance
- Life insurance
- Cycle-to-work scheme
- Contributory pension scheme
- Equity
- 28 days’ holiday allowance
- 25 days’ annual leave
- 3 additional company days between Christmas and New Year
- Bank holidays
- Enhanced family leave
- Diverse work environment with multidisciplinary expertise