Job Information
Organisation/Company: Associação para Investigação e Desenvolvimento da Faculdade Medicina
Research Field: Computer science » Database management; Mathematics » Statistics
Researcher Profile: Other Profession
Positions: Master Positions
Application Deadline: 31 Aug 2026 - 23:59 (Europe/Lisbon)
Country: Portugal
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 40
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Data Management Specialist (Health Data)
Location: Lisbon, Portugal (Hybrid – 2 days/week in the office, with flexibility)
Experience: 5–7+ years
About Us
The Associação para Investigação e Desenvolvimento da Faculdade de Medicina (AIDFM) is a non-profit scientific and technological association that aims to foster initiatives to support the link between activities, such as education, training and research in the fields of Medicine and Biomedical Sciences.
AIDFM has a biostatistics and data management team based at the Faculdade de Medicina, Universidade de Lisboa, dedicated to advancing health research through high-quality data science and analytical methodologies. We collaborate with the CHDI Foundation on projects that contribute to impactful scientific publications and evidence-based healthcare advancements.
We are seeking an experienced Data Management Specialist to join our growing team and play a key role in managing complex health-related datasets, ensuring data quality, and supporting cutting-edge research initiatives.
Key Responsibilities
- Lead the management, validation, cleaning, and maintenance of large-scale health and research datasets.
- Design, implement, and optimize data management processes and quality control procedures.
- Develop reproducible workflows, data pipelines, and comprehensive documentation using R and other relevant tools.
- Ensure data integrity, consistency, security, and compliance with research and regulatory standards.
- Collaborate closely with biostatisticians, researchers, clinicians, and international partners.
- Support data analysis activities and contribute to the preparation of scientific reports.
- Provide guidance on data management best practices and promote continuous process improvement.
Where to apply
E-mail: anatsantos@medicina.ulisboa.pt
Requirements
Research Field: Computer science - Education Level: Master Degree or equivalent
Research Field: Mathematics - Education Level: Master Degree or equivalent
Skills/Qualifications
Required Qualifications
- Minimum 5–7 years of professional experience in data management, preferably within healthcare, clinical research, epidemiology, public health, or related fields.
- Strong expertise in managing large and complex datasets.
- Advanced proficiency in R, including data wrangling, data quality assessment, visualization, and workflow automation.
- Demonstrated experience implementing data governance, quality assurance, and documentation standards.
- Excellent analytical and problem-solving skills.
- Strong communication skills with the ability to work effectively in an international environment.
- Fluent English (written and spoken).
Preferred Qualifications
- Degree in Health Sciences, Epidemiology, Biostatistics, Data Science or a related discipline.
- Experience working with research institutions, academic environments, healthcare organizations, or international health-focused projects.
- Knowledge of clinical, epidemiological, or real-world health data.
- Familiarity with reproducible research practices and collaborative development environments.
Languages: ENGLISH - Level: Excellent
Additional Information
Benefits
What We Offer
- Opportunity to contribute to impactful international health research projects.
- Collaborative and multidisciplinary work environment.
- Exposure to leading global research partners.
- Flexible hybrid working model based in Lisbon, with an expectation of approximately 2 days per week in the office and flexibility based on project needs.
- Participation in projects that generate high-impact scientific publications and advance knowledge in the health sciences.
Additional comments
How to Apply
For more information or to submit your application, please contact:
Daisy Abreu
daisyabreu@medicina.ulisboa.pt
Ana Teresa Santos
anatsantos@medicina.ulisboa.pt
Work Location(s)
Number of offers available: 1
Company/Institute: Associação para Investigação e Desenvolvimento da Faculdade Medicina
Country: Portugal
State/Province: Lisboa
City: Lisboa
Postal Code: 1649-028
Street: Avenida Professor Egas Moniz, Piso 01, Hospital de Santa Maria
Contact
City: Lisboa
Website: http://www.aidfm.pt/
Street: Av. Prof. Egas Moniz
Postal Code: 1649-028
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