Clinical Data Validation Expert
Il y a 1 jour
Leuven, Flanders, Belgique
LynxCare
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Join the Healthcare Data Revolution
Are you passionate about the power of data? How about unlocking the potential of patient data through AI and NLP technologies? Supporting pharmaceutical innovation and clinical development? LynxCare, a fast-growing scale-up in Belgium, is seeking a Clinical validation expert to help us lead the transformation of global healthcare data to improve patient outcomes and quality of care.
As a Clinical validation expert, you will be instrumental in validating and improving LynxCare's clinical databases, collaborating with internal and external stakeholders, and ensuring the scalability, reliability, and performance of our data processes and quality procedures.
About LynxCare:
LynxCare is a Belgian clinical informatics company headquartered in Leuven. Co-founded in 2015 by Dr. Dries Hens, it builds and operates hospital databases that structure clinical data at the source using its own clinical language models, enabling life sciences companies to generate real-world evidence through observational studies. Its federated model supports multi-hospital, multi-country research while keeping patient data within the hospitals that hold it. LynxCare works with partner hospitals in Belgium, Spain, France and Germany and is backed by Elaia, HERAN Partners, Holland Capital, b2venture and Matterwave Ventures, MTIP, and Vassoyan Conseil. Learn more at LynxCare | Real-World Data & Clinical NLP for Trusted Healthcare Insights
What LynxCare offers:
• A chance to be at the forefront of healthcare data innovation, working with a team of 25 highly motivated clinical and data experts.
• A fast-growing, welcoming environment, where initiative is valued and personal/professional growth is supported.
• At LynxCare, we are guided by Shared Purpose, Balanced Excellence, Trustworthiness, Entrepreneurial Discipline and Courageous Presence. They reflect how we work together to meaningfully impact patients’ lives, maintain the highest standards of quality, build trust and combine bold innovation with disciplined execution.
• Attractive salary package, incl. extralegal benefits such as mobility budget, hospitalization insurance, group insurance, meal-vouchers, net cost-allowance and reimbursement of mobile telco subscription
Job Description
As a Clinical Validation Expert, you are responsible for ensuring the quality of clinical data extracted from electronic health records. Guided by project needs, you perform quality control, identify recurring error patterns and their root causes, and contribute to mitigation strategies that continuously improve data quality. You enjoy careful, consistent work and take pride in ensuring reliable data for patients and clients downstream. Over time, you will develop a strong instinct for clinical data quality, deepen your understanding of our NLP system and its failure modes, and take increasing ownership of the validation process. Must-haves
• A structured way of working; You document decisions, follow defined processes, and maintain organized records.
• Clinical data judgement; You understand clinical concepts well enough to spot when extracted data is implausible, incomplete, or doesn't match the source.
• Data quality mindset: care about completeness and plausibility and repeatability
• The ability to recognize patterns and root cause classification. You can assess which issues are structurally meaningful (and worth escalating) vs. which are edge cases.
• Clear cross-functional communication: you structure and translate information so that other teams can understand and act on your findings.
• Professional command of English
• Reading comprehension for at least 2 out of these languages: Dutch, French, German, Italian or Spanish Nice-to-haves
• Biomedical or life sciences background
• NLP/ML understanding
• Experience with data analytics
• Clinical research experience
• Further advanced language skills in Dutch, French, German, Italian or Spanish Join us in our mission to transform healthcare through data innovation
• A chance to be at the forefront of healthcare data innovation, working with a team of 25 highly motivated clinical and data experts.
• A fast-growing, welcoming environment, where initiative is valued and personal/professional growth is supported.
• At LynxCare, we are guided by Shared Purpose, Balanced Excellence, Trustworthiness, Entrepreneurial Discipline and Courageous Presence. They reflect how we work together to meaningfully impact patients’ lives, maintain the highest standards of quality, build trust and combine bold innovation with disciplined execution.
• Attractive salary package, incl. extralegal benefits such as mobility budget, hospitalization insurance, group insurance, meal-vouchers, net cost-allowance and reimbursement of mobile telco subscription
Job Description
As a Clinical Validation Expert, you are responsible for ensuring the quality of clinical data extracted from electronic health records. Guided by project needs, you perform quality control, identify recurring error patterns and their root causes, and contribute to mitigation strategies that continuously improve data quality. You enjoy careful, consistent work and take pride in ensuring reliable data for patients and clients downstream. Over time, you will develop a strong instinct for clinical data quality, deepen your understanding of our NLP system and its failure modes, and take increasing ownership of the validation process. Must-haves
• A structured way of working; You document decisions, follow defined processes, and maintain organized records.
• Clinical data judgement; You understand clinical concepts well enough to spot when extracted data is implausible, incomplete, or doesn't match the source.
• Data quality mindset: care about completeness and plausibility and repeatability
• The ability to recognize patterns and root cause classification. You can assess which issues are structurally meaningful (and worth escalating) vs. which are edge cases.
• Clear cross-functional communication: you structure and translate information so that other teams can understand and act on your findings.
• Professional command of English
• Reading comprehension for at least 2 out of these languages: Dutch, French, German, Italian or Spanish Nice-to-haves
• Biomedical or life sciences background
• NLP/ML understanding
• Experience with data analytics
• Clinical research experience
• Further advanced language skills in Dutch, French, German, Italian or Spanish Join us in our mission to transform healthcare through data innovation