20 publicaciones de empleo destacadas de data scientist / ai en madrid, md (¡Están contratando!)

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11d
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VML/WPP Enterprise Solutions —Madrid, Madrid provincia
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EPAM Systems, Inc. —Moncloa-Madrid, Madrid provincia
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Lighthouse Intelligence Ltd. —Madrid, Madrid provincia
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WayOps —Madrid, Madrid provincia
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BIP - Business Integration Partners —Madrid, Madrid provincia
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- Español
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Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
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BIP - Business Integration Partners —Madrid, Madrid provincia
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Wunderman Thompson MAP —Madrid, Madrid provincia
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Solera —Madrid, Madrid provincia
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Senior Python Developer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
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RWD Analytics Engineer

Roche -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Informática
Relational databases
R
Microsoft SQL Server
Git
Inglés
Máster
SQL
Grado
Neo4j
REST
NLP
ETL
Cloud
GraphQL
Inteligencia artificial
Habilidades de comunicación
Graph databases
Python

Descripción completa del empleo

Bei Roche kannst du ganz du selbst sein und wirst für deine einzigartigen Qualitäten geschätzt. Unsere Kultur fördert persönlichen Ausdruck, offenen Dialog und echte Verbindungen. Hier wirst du für das, was du bist, wertgeschätzt, akzeptiert und respektiert. Dies schafft ein Umfeld, in dem du sowohl persönlich als auch beruflich wachsen kannst. Gemeinsam wollen wir Krankheiten vorbeugen, stoppen und heilen und sicherstellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und in Zukunft. Werde Teil von Roche, wo jede Stimme zählt.

Die Position

MISSION
As a Real World Data (RWD) Analytics Engineer, you will be part of a medical informatics team working with data scientists to understand their analytics needs and translate this into scalable and reusable data pipelines. Responsibilities include mapping data to/from RWD common data models such as OMOP and FHIR and ensuring quality of data is retained throughout the process. You will also work with IT teams to design and develop solutions for more declarative and reusable approaches to mapping data between data models.

WHAT YOU'LL BE WORKING ON
You will be supporting projects that require harmonization of source data models to/from common data models such as OMOP or FHIR. Occasionally, this may include custom data models, depending on product/project needs. You will be collaborating with clinical terminologists, medical informatics architects, data engineers, and data scientists to produce data sets that are ready for analysis or model building. You will also be responsible for creating and applying tests to the data pipeline using state of the art approaches, ensuring that the mapped data retain the same semantics as the original data within the context of specific use cases.
In addition to supporting specific projects with analytics engineering needs, you will also leverage this experience to help design and develop scalable ways for mapping data.

Responsibilities:

Syntactically and semantically map data to/from RWD common data models (e.g., OMOP, FHIR) using dbt or similar tools
Design, develop, and test ETL/ELT pipelines for real world data
Provide complete documentation and communication of all processes, methods, and results
Integrate vocabularies/terminologies using REST APIs and/or via relational tables
Co-create scalable approaches for mapping data using declarative and functional programming approaches

STAKEHOLDER MANAGEMENT AND PARTNERING

Understand the complexities of RWD use cases from both business and IT/technical perspectives and develop a strategic approach to balance short-term benefits and long-term costs
Contribute and share learnings throughout RWD communities, particularly product teams looking to leverage RWD
Act as a strategic partner to business and research stakeholders, translating complex clinical objectives into actionable, high-quality data product requirements.
Partner with IT business domain leadership to influence product roadmaps
Serve as an ambassador of medical informatics and the highlight the importance of clinical terminology management to business stakeholders, IT business domains, and senior leadership

QUALIFICATIONS

Bachelor’s or Master’s degree in computer science, data science, informatics
Hands-on experience with healthcare data
In at least one of the following disease areas: oncology, neuro, immunology, infectious diseases, ophthalmology, cardiovascular and metabolism
Hands-on experience with real world data, specifically OMOP
Experience with terminology integration, including OHDSI Athena and UMLS
Experience with LLMs or NLP frameworks for extracting structured data from unstructured clinical text (e.g., electronic health records, clinical notes) to feed into OMOP/FHIR models.
Familiarity with context-aware AI tools, such as the Model Context Protocol (MCP), and experience in prompt engineering for data discovery or code generation tasks.
Experience with AI-augmented data quality tools or ML-based anomaly detection for monitoring data pipelines and identifying semantic drift in mapped data.
Hands-on experience with relational databases and cloud platforms such as Snowflake
(Preferred) Experience with graph databases such as Neo4j and GraphQL
(Preferred) Experience with SDTM
SQL, Python (numpy, pandas, etc.) or R
Strong software engineering background including test driven development, object oriented programming, functional programming, CI/CD, git
Excellent verbal and written communication skills in English
Experience working with IT/technical development teams and able to translate between business needs and technical requirements
Ability to work with minimal supervision, exercising discretion and independent judgment
Ability to build collaboration and positive relationships in an agile, matrixed, multinational organization

Travel - Minimized by leveraging virtual collaboration methods

Wer wir sind

Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.

Gemeinsam können wir eine gesündere Zukunft gestalten.

Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.

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