Clinical Data Engineer (R Specialist)

Sweden Full-time

Detalhes da oferta

Are you passionate about challenges? Izertis is your company.

We are looking for a Clinical Data Engineer (R Specialist), for one of our clients, in Switzerland (remote).


Responsibilities:

PoC Development: Design and execute Proof-of-Concept (PoC) projects for clinical data analysis and reporting to validate the feasibility and performance of new methodologies and tools.
Transformation Logic Library: Develop a library of modular, reusable data transformation components (e.g., derivations, transpositions, validation checks) to support clinical analytics.
Metadata-Driven Orchestration: Integrate with external metadata repositories to dynamically automate and orchestrate end-to-end data transformation workflows and validation processes.
In-Memory Data Processing: Implement and optimize high-performance, in-memory data pipelines using R to efficiently handle large-scale clinical datasets.
Remote Database Integration: Build robust and secure interfaces for persisting and retrieving data from remote databases using RESTful APIs, ensuring data integrity and compliance.
Reporting & Visualization: Create interactive dashboards and visualizations using R Shiny and ggplot2. Collaborate effectively with BI teams on integrating with enterprise tools like Power BI and Spotfire.

Requirements: 

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, or a related quantitative field.
Strong proficiency in R programming and the RStudio development environment.
Proven experience with R packages for data manipulation (e.g., dplyr, data.table), analytics, and reporting.
Hands-on experience designing and developing metadata-driven architectures; familiarity with MDR platforms is a strong plus.
Proven ability to optimize R code for in-memory processing of large datasets (performance tuning, memory management).
Practical experience connecting R to remote systems via RESTful APIs (e.g., httr, plumber) and databases (e.g., DBI, odbc).
Experience creating interactive applications with R Shiny and static visualizations with ggplot2.
Excellent problem-solving skills and the ability to work independently in a fast-paced environment.Experience in the pharmaceutical, biotechnology, or other highly-regulated healthcare environment.

Nice to have: 

Experience in the pharmaceutical, biotechnology, or other highly-regulated healthcare environment.
Familiarity with version control (Git), continuous integration, and other software engineering best practices.
Experience with other programming languages (e.g., Python, SQL) is a bonus.

 
Habilitações mínimas Curso Superior
Experiência mínima 5-10 anos
Sector de actividade TI, Telecomunicações e Comunicação
Tipo de contrato Full-time
Tipo de oferta Emprego
Contactos Izertis
R. do Mar Vermelho Nº2, 3 4
1990-152 Lisboa
Portugal
Cátia Amaral
catia.amaralizertis.com
21 842 3300
https://www.izertis.com/pt/entre-em-contato

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