Senior Research Support Technician (SRST) (2024PILIFRUA25)

Job position

Senior Research Support Technician (SRST)

Opening position to candidates for 1 position for a Senior Research Support Technician (SRST) associated with a project funded by the European programme HORIZON-JU-IHI-2022-03-single-stage, proposal 101132901. The project has the objective to use existing biomarkers to incorporate them into a platform for early detection of liver disease applicable to all EU countries and beyond.

The SRST will join the Biostatistics Unit at the Medical School, Department of Paediatrics, Obstetrics and Gynaecology and Preventive Medicine and Public Health of the Autonomous University of Barcelona (https://www.uab.cat/).

We are looking for highly motivated candidates. The SRST will help to work on joining and standardising different cohort databases using OMOP common data model and other data standards, to analyse develop and validate a predictive model to generate a diagnostic platform, and analyse a randomized control trial with 100,000 subjects comparing the LIVERAIM diagnostic platform with the current standard of care. 

Job position requirements (skills/languages/required experience)

Participation in functions of: (a) Generation of a central data warehouse grouping and standardizing biomedical data from the different cohorts, (b) Generation and maintenance of the Data Management Plan, (c) Generation of predictive models with advanced mathematical techniques, (d) Comparative evaluation of standard statistical results with those of artificial intelligence algorithms, (e) Validation of prediction results, (f) Pivotal clinical trial design, plan document and analysis execution, (g) Dissemination , communication of research results

Studies: Higher university, University degree and official University Master. Doctorate will be valued.

Informatics: Computer Science Advanced knowledge in advanced computer programming in R and Python software using mathematical and statistical techniques such as Data Analyst. Advanced knowledge of SQL databases and data interoperability standards in the health field. Advanced standard office automation level

Fluent languages: Catalan, Spanish, English. Other: valuable but not mandatory

Work experience and internships: Experience as a Data Analyst and/or Data Scientist (minimum 10 years). Experience in Clinical Research (minimum 10 years). Experience in access and management of electronic health databases, relational databases, and interoperability models (minimum 5 years)

Other requirements: Previous work experience in related subjects: computing and programming applied to large health databases; software development, R or Python packages; elaboration of the design and analysis plan, capture and preparation of data, statistical analysis, validation and presentation of results; calculation of the size of complex samples; communication skills and ability to work in a group.

Benefits

We offer a Senior Research Support Technician (SRST) contract of 6 years. The position, benefits and payment are regulated by contract for research staff at the UAB. The salary is 21.132,14€ annual gross according to research assistant category at UAB, plus the amount corresponding to the Plus Campus and the rest of the salary supplements.

Eligibility criteria

• Academic record: 23

University Degree 5; Degree in Statistics and Operational Research 15; Degree in Statistics and Operational Research and Master's Degree in Statistics 18; Degree in Statistics and Operational Research, University Master in Statistics and Doctorate 23;

• Languages: 5

English C1 5, B2 4, B1 3

• Informatics skills: 22

Advanced knowledge in: Programming languages Python, R 5; Statistical analysis with: R, SAS, SPSS 5; Databases: SQL, BigQuery, ETL 5; Artificial Intelligence tools: GPT, machine learning, neural networks 3; Interoperability models: OMOP Common Data Model, VAC4EU, ConcePTION, OpenEHR 3; Microsoft standard office software (Excel, Word) 1;

• Work experience and/or internships: 15

a) Previous practical experience as a Data Analyst. Previous use of AI tools, statistical packages (R, Phyton, SAS, SPSS) 5 will be valued; (b) Previous experience in managing electronic health databases, relational databases, and interoperability models 7; (c) Experience in Clinical and Biomedical Research 3;

• Personal interview: 35

Selection process

Minimum grade to pass the selection process: 60

A first curricular phase and a second interview, unless the court, in application of the agreement of 1 February 2019, proposes other actions, tests and/or interviews to be carried out.