Senior Data Steward - R&D
SFEL - R&D SANT FELIU DE LLOBR, ES, ES - Spain
Mission
Almirall is a global pharmaceutical company with a focus on Medical Dermatology. Our goal is to develop novel therapeutics to tackle unmet medical need in the fields of immune inflammatory skin diseases, rare skin diseases and non-melanoma skin cancers.
We are seeking a talented candidate for a joint position between our Molecular and Cell Biology (MCB) and Data Sciences teams within Almirall R&D department, based in Barcelona. The candidate will be working directly with experimental biologists and play a crucial role in implementing Almirall scientific data platform. He/she will manage and maintaining the integrity, accessibility, and security of our research data. This position requires a deep understanding of data management principles, biological research, and the ability to collaborate effectively across disciplines.
Tasks and Responsibilities
- Data management: Develop solutions to ensure the appropriate implementation of standards and methodologies for data management in Research department.
- Data accessibility: In collaboration with IT, Data Science and experimental research teams, manage data according the FAIR (Findable, Accessible, Interoperable, Reusable) principles.
- Data Generation: Design assay-specific solutions with experimental researchers to enable the generation of data from a range of assays in the adequate format for automatic upload to scientific data platform. Drive the incremental implementation of a new scientific data platform within Almirall R&D.
- Data Quality: Design assay-specific solutions with experimental researchers for data quality control and monitoring.
- Collaboration: Work closely with biologists, bioinformaticians, and other stakeholders to understand data needs and provide support for data-related tasks.
- Reporting and monitorization: Evaluate the data usage and report compliance and quality control metrics
- Dissemination/Training: Provide training and support to team members on data management tools and best practices.
Education & Qualifications
• Bachelor’s with 10+ years of experience or Master’s with 5+ years of experience - degree in Biology, Bioinformatics, Data Science.
• Experience in running wet laboratory experiments.
• Proven experience in data management in a biological research setting.
• Strong understanding of data governance, data quality, and data security principles.
• Familiarity with data management tools and software (e.g., R or Python, data visualization tools). SQL knowledge would be a bonus.
• Team player with ability to collaborate and communicate effectively across several scientific disciplines.
• Advanced English level required.
Preferred Qualifications
• Experience with laboratory information management systems (LIMS).
• Familiarity with regulatory requirements related to biological data (e.g., GDPR, HIPAA).
• Knowledge of experimental biology techniques and protocols.
Values
- Care: we listen & empathize, we value diverse perspectives & backgrounds and we help each other succeed.
- Courage: we challenge the status quo, we take full ownership and we learn from our success & failures.
- Innovation: we put the patient and customer at the center, we create novel solutions and we empower entrepreneurial mindsets.
- Simplicity: we act decisively and avoid over-analysis, we understand why before we act and we are agile & keep thing simple.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Bioinformatics Biology Data governance Data management Data quality Data visualization Pharma Python R R&D Research Security SQL
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