PbAbout the job. /b /ppbr/ppThe core of your role will be to provide analytical insights about the data we work with. To this aim, you will design and develop ways of analyzing and visualizing relevant aspects of our datasets, with the final objective of ensuring their quality. /ppAs a Health Data Quality Specialist, you will be working in a very dynamic environment, which means that you must have a strong problem-solving ability, organization skills, and be proactive. We are looking for sharp analytical minds, who are able to develop innovative solutions to reason about different types of data. In technical terms, you should be able to implement these solutions in code entirely, from database queries to visualizations. /ppbIOMED’s Approach. /b /ppbr/ppIOMED develops AI-powered technology for healthcare data activation. It is made up of a united, young, dynamic, and flexible team, which, after several years of working together, is characterized by its agility, enjoyment of work, and rapport. Accordingly, we are looking for candidates with the desire to innovate, and grow with it, always enjoying teamwork and challenges, which are many, every day. /ppbr/ppAs an employer, we offer equal opportunity. We want to grow our team with talented, dynamic people who want to make their mark in the field of AI and research, regardless of race, color, religion, national origin, gender, physical disability, or age. /ppbr/ppbWhat we expect you to do. /b /pulliValidate and verify datasets across different stages of the data lifecycle to ensure consistency and reliability. /liliIdentify anomalies, unexpected patterns, and inconsistencies in structured and unstructured data. /liliDesign, execute, and maintain data validation checks and quality controls. /liliInvestigate data issues such as missing values, abnormal distributions, inconsistencies between sources, or unexpected pipeline outputs. /liliCreate, document, and manage data quality incidents, ensuring proper tracking and follow-up until resolution. /liliPerform root cause analysis in collaboration with Data Engineers, Data Scientists, and clinical teams. /liliMonitor recurring quality problems and propose preventive improvements. /liliDocument validation procedures, findings, and quality standards. /li /ulpbr/ppbWhat we expect from you. /b /ppbr/ppbKnowledge Skills: /b /pulliDegree in Data Science, Computer Science, Statistics, Health Informatics, or a related field. /lili5 years of experience /liliStrong SQL skills and confidence working with large datasets. /liliAbility to explore data and detect inconsistencies through analytical reasoning. /liliUnderstanding of data pipelines and ETL processes. /liliGood knowledge of statistics. /liliProficiency on the use of testing and expectation frameworks. /liliKnowledge of data visualization methods and tools. /liliPython for exploratory analysis or validation scripting is a plus. /liliExperience with healthcare or clinical datasets is a strong plus. /liliProfessional proficiency in English. /li /ulpbr/ppbr/ppbSoft Skills: /b /pulliIn terms of personality, we are looking for someone who enjoys working in a wide range of areas and adapts quickly to new situations. /liliExcellent communication skills and the ability to work in a team. /liliTo be comfortable with changes and able to adapt quickly to new tools and methodologies. /liliThe ability to identify issues, analyze them, and find creative solutions is critical. /liliEfficiently managing time and prioritizing tasks. /li /ulpbr/ppbr/ppbWhat can we offer? /b /pulliCompetitive salary. /liliPermanent contract. /liliFlexible remuneration with restaurant tickets, transport tickets, nursery, training, and medical insurance. /liliFlexible schedule and hybrid working model. /lili28 days of vacation per year + 2 free days selected by the company. /liliA warm, transparent and supportive team, with a huge emphasis on work-life balance. /liliThe opportunity to make your mark in e-health and AI. /li /ulpbr/ppbWhat we do. /b /ppOur Healthcare Data Activation technology unlocks data from both structured and unstructured sources, including human-written records, thanks to our Natural Language Processing System. This data is standardized into OMOP Common Data Model, and never leaves hospitals' in-house systems, thanks to our Federated Data Model, enabling healthcare organizations to have activated and readily usable data while maintaining its protection and security. /ppbr/ppcontact: /p