Clinical Data Engineer CDP & DP

Bayer CropScience Limited; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading global healthcare company seeks a Clinical Data Engineer in Barcelona to manage clinical data collection systems. The role demands proficiency in programming languages like C# and SQL, alongside a strong background in data management. Ideal candidates will have at least 3 years of experience, effective communication skills, and a commitment to best practices in clinical data integrity. Join us to make a meaningful impact in healthcare and innovation.

Formación

• At least 3 years in a scientific, data-driven position, preferably in clinical data management.
• Strong communication skills in English, both written and verbal.
• Understanding of global regulatory requirements and guidelines related to clinical investigations.

Responsabilidades

• Drive setup and maintenance of clinical data collection systems.
• Implement programs for data quality checks and build data flow pipelines.
• Plan and prioritize timelines for clinical studies.

Conocimientos

Programming in C#

SQL

SAS

Python

R

Data integration tools

Time management

Educación

Bachelor’s or Master’s in Natural Sciences or related fields

Herramientas

AWS

Azure

GCP

DataBricks

Descripción del empleo

Clinical Data Engineer CDP & DP

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where Health for all, Hunger for none is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining impossible. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Main Purpose

Drives the setup and maintenance of clinical data collection instrumentation(s), data ingestion and integration capabilities from all study data sources (sites and vendors- labs, IRT, ePRO, digital devices..etc), based on the Clinical Study Protocol and Medical Standards in collaboration with the study team and other internal as well as external stakeholders.

Implement programs/listings for data quality checks as well as build optimized data flow pipelines to enable risk monitoring processes (CDM, Med Review, Site Management, Med Coding) and statistical analysis/reporting.

Key Work Relations

• Clinical Study Team Members: Study Managers, Study Data Managers, Medical Experts, Statisticians, Statistical Programmers, Medical Writing, Drug Safety, Medical Coding
• Technology Related Partners: IT System Owners, DSA&I Process Managers, Clinical Data Engineers, Project Managers, Scrum Masters
• Enabling Functions: Standards Management, Vendor Management, Procurement, Customer Centricity, etc.
• External vendors and partner companies

Scope

• Global

Key Tasks & Responsibilities

• Requirements & Specification: Analyze clinical protocol to create requirements and technical specifications for data collection, data ingestion, quality measures, data integration and transformation for all study sources ensuring complete end-to-end focus.
• Task Delivery: Setup study level data collection elements as well as program triggers, derivations and data cleaning checks/listings/reports. Setup and perform data ingestion activities for CRO and vendor data, data exchanges with internal and external partner systems, as per agreed data transfer specifications. Develop and validate programs for study setup, conduct and closeout activities within the Clinical Data Environment/Lakehouse. Provide clinical study data to business users, ensuring smooth data flow and traceability while addressing any data flow issues.
• Project Management: Plan, prioritize, and communicate timelines for clinical studies. Support these studies throughout their lifecycle by evaluating issues, assessing the impact of changes, and implementing and testing updates. Ensure all study setup documentation is completed on time and complies with relevant SOPs to be ready for inspections and audits.
• Best Practices: Contribute as a subject matter expert for function level processes, systems/tools.

Skills & Qualifications

• Education: Bachelor’s or Master’s degree in Natural Sciences, Life Sciences, Statistics, Computer Science, Data Science or related fields. Equivalent degrees or certifications may be accepted.
• Experience: At least 3 years in a scientific, data-driven position, preferably experience working in the clinical data management discipline.
• Technology & Programming: In-depth experience in programming languages (e.g., C#, SQL, SAS, Python, R) and clinical information systems following software development processes. Familiarity with big data technologies, cloud infrastructure (AWS, Azure, GCP), and data integration tools (e.g., DataBricks).
• Industry Practices - Preferred: Understanding of global regulatory requirements and guidelines (e.g., ICH, GCP, HIPAA) related to clinical investigations and data collection. Knowledge of CDISC clinical data standards.
• Self Organization: Strong organizational and time management skills, with the ability to work independently and collaboratively in a global environment.
• Communication & Collaboration: Strong communication skills in English, both written and verbal. Proven ability to collaborate with internal and external stakeholders demonstrating decision making.

Your Application

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location: Spain : Cataluña : Barcelona

Division: Pharmaceuticals

Reference Code: 847495