CrawlJobs Logo

Clinical Data Engineer

iconplc.com Logo

iconplc

Location Icon

Location:
United Kingdom , Livingston

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

As Clinical Data Engineer, you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence. In this role, you will lead the design, development, and implementation of enterprise-level data pipelines that support clinical trial data integration and analysis. This role is instrumental in ensuring the efficient ingestion, transformation, and delivery of high-quality clinical data across multiple systems and sources to enable data-driven insights, regulatory compliance, and business excellence.

Job Responsibility:

  • Serve as a technical expert in building data pipelines for the ingestion and delivery of clinical data at the study level, supporting study start-up, conduct, and close-out activities
  • Develop robust data pipelines for integrating heterogeneous data sources
  • Identify, design, and implement scalable data delivery solutions, automating manual processes whenever possible
  • Develop and implement comprehensive data integrity and quality checks throughout the data ingestion process
  • Design and build infrastructure for optimal data extraction, transformation, and loading (ETL/ELT) using cloud platforms such as AWS and Azure
  • Collaborate with downstream users—including statistical programmers, SDTM programmers, analytics, and clinical data programmers—to ensure deliverables meet end-user requirements
  • Appropriately escalate issues to CDE leadership as needed

Requirements:

  • Bachelor’s degree in Computer Science, Statistics, Biostatistics, Mathematics, or a related field
  • advanced degree preferred
  • 8+ years of experience in data engineering or a related field, with at least 5 years focused on building pipelines for complex, multi-source data integration
  • Extensive experience developing ELT and ETL solutions for data warehouses and data lakes
  • Proficient with Python, R, RShiny, SQL, and NoSQL databases
  • Hands-on cloud experience with AWS, Azure, or GCP
  • Familiarity with GitLab, GitHub, and Jenkins for version control and CI/CD
  • Proven expertise in deploying data pipelines in cloud environments
  • Skilled in setting up and managing data warehouses and data lakes (e.g., Snowflake, Amazon Redshift)
  • Efficient in designing, developing, and maintaining scalable data pipelines for large datasets
  • Strong understanding of database concepts, with working knowledge of XML, JSON, and API integrations
What we offer:
  • Various annual leave entitlements
  • A range of health insurance offerings to suit you and your family’s needs
  • Competitive retirement planning offerings to maximise savings and plan with confidence for the years ahead
  • Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being
  • Life assurance
  • Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others

Additional Information:

Job Posted:
January 05, 2026

Work Type:
Remote work
Icon
iconplc - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Clinical Data Engineer

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
  • healthcare experience preferred
  • Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
  • Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
  • Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
  • Understanding of healthcare data, including clinical, operational, and financial data models, preferred
  • Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
  • Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
  • Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
Job Responsibility
Job Responsibility
  • Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
  • Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
  • Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
  • Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
  • Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
  • Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
  • Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
  • Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
  • Implement robust data quality processes, validation, monitoring, and error-handling frameworks
  • Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications
What we offer
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Core Data

As a Senior Software Engineer on our Core Data team, you will take a leading rol...
Location
Location
United States
Salary
Salary:
190000.00 - 220000.00 USD / Year
pomelocare.com Logo
Pomelo Care
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building high-quality, scalable data systems and pipelines
  • Expert-level proficiency in SQL and Python, with a deep understanding of data modeling and transformation best practices
  • Hands-on experience with dbt for data transformation and Dagster, Beam, Dataflow or similar tools for pipeline orchestration
  • Experience with modern data stack tools and cloud platforms, with a strong understanding of data warehouse design principles
  • A track record of delivering elegant and maintainable solutions to complex data problems that drive real business impact
Job Responsibility
Job Responsibility
  • Build and maintain elegant data pipelines that orchestrate ingestion from diverse sources and normalize data for company-wide consumption
  • Lead the design and development of robust, scalable data infrastructure that enables our clinical and product teams to make data-driven decisions, using dbt, Dagster, Beam and Dataflow
  • Write clean, performant SQL and Python to transform raw data into actionable insights that power our platform
  • Architect data models and transformations that support both operational analytics and new data-driven product features
  • Mentor other engineers, providing technical guidance on data engineering best practices and thoughtful code reviews, fostering a culture of data excellence
  • Collaborate with product, clinical and analytics teams to understand data needs and ensure we are building infrastructure that unlocks the most impactful insights
  • Optimize data processing workflows for performance, reliability and cost-effectiveness
What we offer
What we offer
  • Competitive healthcare benefits
  • Generous equity compensation
  • Unlimited vacation
  • Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)
  • Fulltime
Read More
Arrow Right

Software Developer / Data Engineer in Proteomics

The Chair of Proteomics and Bioanalytics at the Technical University of Munich l...
Location
Location
Germany , Freising
Salary
Salary:
Not provided
jobrxiv.org Logo
jobRxiv
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field
  • Solid experience in programming and system architecture design (e.g., Python), workflow management tools (e.g., Nextflow) and containerization (e.g., Docker)
  • Strong knowledge of relational database systems and schema design (e.g., MySQL), and web-development (e.g., Vue.js) including data visualization frameworks (e.g., D3.js)
  • Excellent collaborative skills
  • ability to work in multidisciplinary teams
Job Responsibility
Job Responsibility
  • Develop and maintain scalable data-processing pipelines for mass spectrometry-based phosphoproteomics and related omics data
  • Design, build, and document database systems and interfaces for managing, visualizing, and mining complex multi-omics datasets
  • Integrate quantification, annotation, and pathway information with genomic and transcriptomic data relevant to cancer signaling and drug response
  • Collaborate closely with proteomics experts, cancer biologists, and clinicians to transform experimental data into biologically and clinically meaningful insights
  • Implement data quality control, and reproducibility workflows in accordance with regulatory requirements
  • Contribute to the development of APIs, web tools, and dashboards for internal users and collaborators
What we offer
What we offer
  • Join an interdisciplinary team of biochemists, cell biologists, bioinformaticians, and clinicians that uses the latest proteomic approaches to fight cancer
  • The Technical University of Munich is one of the best academic institutions in the world, and offers a stimulating work environment and excellent future perspectives
  • The position is initially available for two years but may be extended
  • The salary follows the TVL scale
  • Fulltime
Read More
Arrow Right

Data Analytics Engineer

Beacon Biosignals is seeking an experienced data analytics engineer to strengthe...
Location
Location
United States , Boston
Salary
Salary:
Not provided
beacon.bio Logo
Beacon Biosignals
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
  • Proficiency in a scientific programming language such as Julia, Python, or R
  • A rigorous approach to documentation and automated testing
  • Experience deploying automated analytics pipelines to a production environment, monitoring their performance, and maintaining them over time
  • A collaborative mindset
  • Strong asynchronous communication skills and a knack for making the most of synchronous collaboration
  • Product-oriented intuition for turning individual stakeholder needs into configurable solutions and broadly applicable features
  • Familiarity with or interest in learning about analyses that power clinical trials, clinical diagnostics, or other medical applications that leverage data organization, transformation, and statistics
Job Responsibility
Job Responsibility
  • Design, implement, and maintain data models and transformations that enrich biosignal metrics with clinical context, powered by Beacon's biosignal data warehouse
  • Ensure that data pipelines and products produce reproducible results by owning CI test suites and versioning strategies for data models, dashboards, and reports
  • Build reusable, scalable customer-facing analytics products, such as automated scientific reports and dashboards that can be configured and reused without custom engineering
  • Improve user documentation and tooling to enable customers and internal scientists to use the analytics layer surface to answer new scientific questions
  • Deploy and monitor analytics and feature computation services that transform raw biosignal data and clinical metadata to generate meaningful scientific results
  • Collaborate with scientific subject matter experts, product managers, and customers to identify high-impact analytics improvements that accelerate therapy development
What we offer
What we offer
  • Equity
  • PTO
Read More
Arrow Right

Lead Data Scientist - Clinical Informatics (Claims Specialization)

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , Work at Home, New York
Salary
Salary:
130295.00 - 260590.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Deep expertise in clinical data types and structures, including medical claims, pharmacy claims, lab results, clinical notes, and administrative healthcare data
  • Knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers through documentation, training, and consultative support
  • Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data, including claims, pharmacy, lab results, and clinical documentation
  • Design and maintain clinical data models, taxonomies, and classification frameworks
  • Develop and govern the claims data feature store
  • Enable self-service analytics by building well-documented, validated, and reusable data assets
  • Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines
  • Partner with clinical, operational, and business stakeholders to understand their data needs
  • Lead and mentor data scientists, data analysts, and data engineers
  • Establish data quality frameworks for clinical data
  • Translate clinical concepts into analytical frameworks
  • Collaborate with data engineering teams to inform data pipeline development
What we offer
What we offer
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • bonus, commission or short-term incentive program
  • equity award program
  • Fulltime
Read More
Arrow Right

Senior Data Scientist - Clinical Informatics (Analytics Enablement)

We're building a world of health around every individual — shaping a more connec...
Location
Location
United States , New York
Salary
Salary:
101970.00 - 203940.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 4+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
  • Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data
  • Design and maintain clinical data models, taxonomies, and classification frameworks
  • Build the clinical data feature store
  • Develop analytics by building well-documented, validated, and reusable data assets
  • Create and maintain comprehensive data documentation
  • Build queries, dashboards, and data visualizations
  • Partner with clinical, operational, and business stakeholders
  • Maintain data quality frameworks for clinical data
  • Translate clinical concepts into analytical frameworks
  • Collaborate with data engineering teams
What we offer
What we offer
  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Bonus, commission or short-term incentive program
  • Fulltime
Read More
Arrow Right

Director, Data Engineering & Analytics

We are seeking a Director, Data Engineering & Analytics to be a hands-on, indivi...
Location
Location
United States
Salary
Salary:
220000.00 - 235000.00 USD / Year
apogeetherapeutics.com Logo
Apogee Therapeutics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in data engineering, data platform, or analytics roles, with meaningful experience owning or leading a modern cloud data platform (Data Lakehouse or cloud data warehouse)
  • Bachelor’s degree (or equivalent professional experience) in Life Sciences, Information Systems, Engineering, or related field
  • Proven track record as a hands-on senior level individual contributor
  • Experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or similar) and modern data stack components
  • Strong expertise in data modeling and ETL/ELT for analytics and reporting
  • Experience working closely with integration teams (ideally with MuleSoft or similar)
  • Prior experience in biotech / pharma / life sciences is strongly preferred, especially supporting Clinical Development, Clinical Operations, Biometrics, or Medical Monitoring
  • Familiarity with data from CROs and clinical systems (e.g., EDC, CTMS, safety, lab, statistical outputs)
  • Experience working in regulated environments (e.g., GxP, 21 CFR Part 11, HIPAA) and supporting audit/inspection readiness is highly desirable
  • Exposure to Apogee-relevant systems is a plus (e.g., Veeva Vault applications, Egnyte GxP repositories, SAS server, NetSuite)
Job Responsibility
Job Responsibility
  • Serve as the primary owner of Apogee’s Data Lakehouse architecture, roadmap, and implementation
  • Define the data platform to support Clinical Development and Clinical Operations, with a clear path to extend to Technical Operations, Commercial, Medical Affairs, and Finance
  • Design and oversee data ingestion, transformation, and storage for structured and semi-structured data from key Apogee sources
  • Establish and maintain subject area data models and semantic layers tailored to clinical and operational use cases
  • Ensure the platform is designed and operated in alignment with Apogee’s GxP, 21 CFR Part 11, SOX Controls, and other regulatory/compliance expectations
  • Design, build, and maintain end-to-end data pipelines (ingestion, transformation, curation) into the Data Lakehouse
  • Develop and maintain data models that serve Clinical Development, Clinical Operations, and later Tech Ops and Commercial / Med Affairs / Finance
  • Implement data quality, lineage, and metadata practices
  • Contribute to defining data governance at Apogee
  • Design and build dashboards / analytic views that support key functional area use cases
What we offer
What we offer
  • Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits
  • Competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave
  • Commitment to growing you professionally and providing access to resources to further your development
  • Apogee offers regular all team, in-person meetings to build relationships and problem solve
  • Fulltime
Read More
Arrow Right

Senior Manager, Data Engineering

Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data...
Location
Location
United States , Palo Alto
Salary
Salary:
83.98 - 111.27 USD / Hour
stanfordhealthcare.org Logo
Stanford Health Care
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. A Master’s degree is preferred
  • 8+ years of hands-on experience in data engineering, data warehousing, or a related field
  • 3+ years of experience in a leadership or management role, directly managing multiple technical teams
  • Experience in a healthcare or academic medical center environment is highly desirable
  • Proven ability to lead, mentor, and grow multiple high-performing engineering teams
  • Expert knowledge of data engineering principles, including ETL/ELT, data modeling, and data architecture
  • Strong strategic planning skills with experience in developing roadmaps for both data engineering and enterprise analytics
  • Deep understanding of cloud data platforms (GCP, AWS, Azure) and modern data warehouse technologies (Databricks, Snowflake, BigQuery, Redshift)
  • Proficiency with big data technologies (e.g., Spark, Kafka) and workflow orchestration tools (e.g., Airflow)
  • Expert-level SQL skills and proficiency in a programming language such as Python or Scala
Job Responsibility
Job Responsibility
  • Lead, mentor, and manage multiple teams of data engineers, providing technical guidance, career development, and performance management
  • Foster a culture of collaboration, innovation, and operational excellence
  • Manage resource allocation, project prioritization, and team workloads to ensure timely delivery of key initiatives
  • Recruit, coach, and motivate team members, developing leadership competencies within the team
  • Oversee the design, development, and maintenance of scalable and robust data pipelines (ETL/ELT) to support analytics and data science
  • Define and drive the technical roadmap for our cloud-based data platforms (e.g., GCP, AWS, Azure) and data warehousing solutions (e.g., Databricks)
  • Define and implement the strategy for enterprise analytics and operational reporting, in collaboration with key business and clinical stakeholders
  • Partner with enterprise architecture, applications, and data science teams to ensure sustainable and scalable data management and solution delivery
  • Partner with key stakeholders across Stanford Medicine (Stanford Health Care, Stanford School of Medicine, and Stanford Medicine Partners), including data scientists, analysts, clinical leaders, and researchers, to translate data needs into technical requirements
  • Manage the full lifecycle of data engineering projects, from conception and planning to execution and delivery
  • Fulltime
Read More
Arrow Right
Remote jobs Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog Salaries Tools About Us FAQ Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy