Data Infrastructure amp CADAD Project Manager
Data Infrastructure amp CADAD Project Manager
Posted on :
10-02-2025
Employer Active
1 Vacancy
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Job Description
VHIR is at the forefront of biomedical research innovation and digital transformation collaborating with Vall dHebron University Hospital (HUVH) the largest hospital in Catalonia.
We are seeking a AI Data Infrastructure & CADAD Project Manager to lead and coordinate AIdriven healthcare research projects ensuring seamless integration of clinical data AI model development and highperformance infrastructure. This role is crucial for managing project execution data governance and strategic planning while collaborating with multidisciplinary teams to implement AI solutions in healthcare.
Education and qualifications:
Required:
- Bachelors or Masters degree in Health Sciences Computer Science Data Science Bioinformatics Artificial Intelligence Information Technology Telecommunications or related fields.
- Fluency in Spanish and English (business level). Catalan is a plus.
Desired:
- PhD in Data Science AI Computer Science Bioinformatics or a related field.
- Certification in data center management or cloud platforms (e.g. AWS Azure Google Cloud)
- Fluency in Catalan (business level).
Experience and knowledge:
Required:
- 4 years of experience in AI data science data infrastructure or clinical data project management preferably in healthcare or life sciences.
- Strong knowledge of SQL/NoSQL databases data lakes ETL pipelines and data integration methodologies.
- Proficiency in programming languages such as Python R Java or Scala for data processing and automation.
- Experience deploying AI models in production environments using frameworks such as TensorFlow PyTorch and ScikitLearn.
- Knowledge of cloud platforms (AWS Azure Google Cloud) and containerization tools (Docker Kubernetes).
- Familiarity with project management methodologies (PMP Agile ITIL) and experience leading crossfunctional teams.
- Expertise in GDPR regulatory frameworks and healthcare data security standards.
Desired:
- Experience with federated learning environments and distributed AI training.
- Knowledge of OMOP OpenEHR and healthcare data security frameworks.
- Expertise in highperformance computing (HPC) and realtime data processing architectures.
- Experience with big data technologies such as Hadoop Spark Kafka and Cassandra.
- Strong publication record in peerreviewed journals or AI research contributions.
- Proven ability to collaborate across academic healthcare and industry sectors.
- Expertise in data center implementation including the design procurement and deployment of hardware for data storage computing networking security and redundancy
- Expertise with OMOP OpenEHR and healthcare data security.
- Expertise in big data technologies such as Hadoop Spark Kafka and Cassandra.
- Experience with cloudnative data warehouses like Snowflake Google BigQuery Microsoft Azure SQL or Amazon Redshift.
- Familiarity with data pipeline architectures including Lambda and Kappa architectures and the ability to implement batch and realtime data processing techniques.
- Experience in designing and maintaining data warehouses and realtime data processing architectures (Lambda Kappa architectures)
- Experience with ETL tools like Apache Nifi Talend Informatica Microsoft SSIS or AWS Glue.
- Experience leading crossfunctional teams.
- Experience managing budgets and procurement for IT infrastructure projects.
- Proficiency in scripting and automation for infrastructure management using languages such as Bash or PowerShell.
- Knowledge of containerization and orchestration tools (e.g. Docker Kubernetes).
- Experience with highperformance computing (HPC) environments and data pipeline frameworks like Apache Airflow.
Main responsibilities and duties:
CADAD & Project Management
- Oversee and manage the Clinical Data Science Access for Secondary Use Committee (CADAD) ensuring compliance with legal and ethical guidelines.
- Facilitate communication between researchers and CADAD identifying and overseeing project approvals.
- Manage the collection processing and secondary use of clinical data while ensuring GDPR and healthcare data privacy compliance.
- Plan monitor and execute CADAD projects ensuring timely deliverables and compliance.
- Bridge the gap between technical teams data science architects and clinical stakeholders to enable effective AIdriven project execution.
- Utilize project management frameworks (PMP Agile ITIL) to streamline AI and data science projects.
- Establish privacypreserving AI models through federated learning across distributed healthcare networks.
- Mentor and support junior project managers engineers and data scientists.
Infrastructure & Data Engineering
- Oversee the procurement deployment security and maintenance of hardware/software solutions for data processing and AI model training.
- Supervise the design implementation and management of highperformance onpremise our cloud computing environments supporting AI research and distributed computing.
- Integrate data warehouses data lakes and realtime processing systems for largescale healthcare AI projects.
- Implement and manage big data frameworks (Apache Spark Hadoop Kafka Cassandra) and cloudbased solutions (AWS Glue Google Cloud Dataflow).
- Ensure compliance with healthcare data security regulations (GDPR OpenEHR).
- Optimize and manage containerized AI deployments (Docker Kubernetes) for scalable applications.
- Monitor and enhance onpremise or cloud data infrastructure for performance and scalability.
- Provide technical leadership in evaluating and adopting new tools for AIdriven healthcare innovation.
Data Science & AI Development
- Data Science & AI Development
- Lead the development and deployment of AIdriven models including deep learning NLP and federated learning.
- Integrate AI solutions into clinical workflows ensuring compliance with GDPR CE marking and medical device regulations.
- Develop and optimize scalable data pipelines for efficient healthcare data management.
- Oversee AIdriven ISO 27001 and ENS certification processes for clinical applications.
- Work closely with researchers clinicians and IT specialists to drive datadriven healthcare innovations.
Labour conditions:
- Fulltime position: 40 hours/week.
- Starting date: Immediately
- Gross annual salary: Remuneration will depend on experience and skills. Salary ranges are consistent with our Collective Agreement pay scale.
- Contract:Openended contract linked to the project
What can we offer
- Incorporation to Vall dHebron Research Institute (VHIR) a public sector institution that promotes and develops the biomedical research innovation and teaching at Vall dHebron University Hospital (HUVH) the biggest hospital of Barcelona and the largest of Catalan Institute of Health (ICS).
- A scientific environment of excellence highly dynamic where highend biomedical projects are continuously developed.
- Continuous learning and a wide range of responsibilities within a stimulating work environment.
- Individual training opportunities.
- Flexible working hours.
- 23 days of holidays 9 personal days.
- Flexible Remuneration Program (including dining checks health insurance transportation and more)
- Corporate Benefits: platform through which you can obtain significant discounts on travel culture technology gastronomy sports... among many others.
- Healthy Offering: choose from a variety of wellbeing focused activities to be the healthiest you.
Deadline to apply: 24/02/2025
VHIR embraces Equality and Diversity. As reflected in our values we work toward ensuring inclusion and equal opportunity in recruitment hiring training and management for all staff within the organization regardless of gender civil status family status sexual orientation gender identity and expression religion age functional diversity or ethnicity.
Employment Type
Full Time
Key Skills
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