Database Manager to coordinate FAIR Cohort Data Platform
Responder al anuncioThe Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in the following main areas: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases; Maternal, Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction (received the first accreditation in 2019 and renewed it in 2024), a seal of excellence of the Spanish Science Ministry.
Lugar
Barcelona, Campus Mar
WHAT WE ARE LOOKING FOR
In the framework of our Centre for Excellence Severo Ochoa Programme (CEX2023-001290-S), ISGlobal is seeking an experienced data manager to develop, implement and manage a FAIR cohort data platform that will contain longitudinal cohort databases with exposome-related data. ISGlobal cohorts have built and are building important infrastructures, related to exposome research over the life-course (for example longitudinal mother-child cohorts). As part of the Severo Ochoa Programme, we aim to implement a new cohort data platform to provide ISGlobal faculty and external collaborators with easy access to integrated data on environmental risk factors, multi-omics data, IDs and NCDs, so as to spearhead new projects. This platform will integrate data from several important existing cohorts that are coordinated by ISGlobal and build a data infrastructure that is both FAIR (findable, accessible, interoperable, reusable), and suitable for big data analysis. The data manager will help in the design of this platform, implement the platform, and maintain key databases that form part of the platform, as well as providing datasets for analysis as required by ISGlobal faculty and collaborators.
TRAINING AND EXPERIENCE / QUALIFICATIONS
- Educated to doctoral level in informatics, bioinformatics, biostatistics, or related topics.
- Experience in processing and managing complex data for scientific research, with experience in managing large longitudinal cohort datasets an advantage.
- Experience with relevant modern programming languages: R, Python.
- Experience with relational databases (PostgreSQL, MySQL) and SQL.
- Knowledge of federated database infrastructures using Opal/Armadillo and DataSHIELD.
- Knowledge of High-performance computing (HPC) systems using schedulers such SLURM under Linux.
- Knowledge of Data Management Plans and Data Protection Methods.
- Strong preference for candidates who have applied the FAIR principles in scientific research.
- Experience in epidemiological sciences an advantage.
KEY RESPONSABILITIES
- Contribute to the design and implementation of the cohort data platform, integrating existing ISGlobal cohort databases.
- Contribute to documenting and archiving all data for easy use in future research.
- Coordinate contributions to the data platform by the participating cohorts.
- Technical maintenance and upgrades of infrastructure.
- Contribute to data use according to FAIR principles and data harmonisation, and ensure compliance with data protection regulations.
- Support end-users of the platform by providing information and preparing datasets.
- Maintain active communications with data providers (cohorts), end-users, and with international collaborations and networks in the field.
SKILLS
- Responsible, flexible and with problem-solving skills.
- Team player, yet capable of working autonomously, rational and critical thinker.
- Motivated professional capable of setting and meeting deadlines and delivering outputs to the required standard.
- Excellent organization and team-working skills.
- Effective verbal and written communication skills.
LANGUAGE LEVEL
- English written and spoken.
CONDITIONS
- Duration: 3. 5 years.
- Contract: ideally full time.
- Salary Range: According to experience and profile.
HOW TO APPLY
Applicants must fill in the request form and include the following code reference position: Technician_CohortData_SeveroOchoa_2024, attach the CV and a Cover Letter describing research interest and plans at ISGlobal. Each attached document must be named with the candidate name and surname.
The receipt of applications will be open until a candidate is selected.
Only the applications submitted through the request form will be considered.
Only shortlisted candidates will be contacted.
Diverse candidatures are encouraged, that includes: gender, race, ethnicity, religion, age, sexual orientation, physical abilities, and political views.
SELECTION PROCESS
The selection process is designed in two phases:
1- Interview phase of a technical nature, with the team that requires the incorporation. To assess the person's skills and CV.
2 - Meeting with HR with the finalist(s) to finish assessing the profile and discuss contractual and institutional issues.
If needed any technical test could be pass. A Psychological Competency Evaluation Test will be required for the structural or transversal positions.
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.
In ISGlobal we are committed to maintaining and developing a work environment in which the values and principles of our organization are respected and equal opportunities between women and men be promoted in each of the areas in which we operate, not tolerating discrimination based on criteria such as age, gender, marital status, race, ethnicity, functional diversity, political leanings, religion, sexual orientation, gender identity or gender expression.
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