Are you passionate about the power of data? How about unlocking the potential of patient data through AI and NLP technologies? LynxCare, a fast-growing scale-up in Belgium, is seeking a Data Management Engineer to help us lead the transformation of global healthcare data to improve patient outcomes and quality of care.

As a Data Management Engineer, you will be instrumental in building and maintaining LynxCare's clinical databases, collaborating with internal and external stakeholders, and ensuring the scalability, reliability, and performance of our data processes and quality procedures.

What we offer

• A chance to be at the forefront of healthcare data innovation, working with a team of 40 highly motivated clinical and technical experts.
• A fast-growing, welcoming environment, where initiative is valued and both personal and professional growth is supported.
• The opportunity to expand your knowledge, try innovative technologies, constantly experiment, and evolve.
• 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
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Job Description

As a Clinical Data Management Engineer, you work in a small team of Data Management Engineers in a broader Engineering team of 15+ people to successfully deliver databases.
You are responsible for delivering quality healthcare databases operating our AI platform, including:

• Plan and execute data upload, data quality assessment and quality improvements in multiple hospitals and therapeutic areas, including cardiology and oncology. Both functional & technical aspects are part of your responsibilities
• Steer and support process improvements in a variety of areas such as quality assurance, data processing, NLP pipeline deployment and medical ontology usage. This includes developing and deploying scripts that drive the automation and scalability of our operational processes
• Implement feedback from both internal and external experts to bring healthcare databases to the next level and facilitate clinical research

Skills & Experience

Essentials:

• Experience in working with (large) datasets
• Experience or strong interest in data cleaning, data processing and/or data quality assessment
• Intermediate programming skills in Python, R or SQL (at least one), preferably related to data cleaning, data processing and/or data quality assessment
• Training or interest in (para)medical topics or health care
• Team player with an analytic problem-solving mind and an eye for detail
• Effective communicator with diligence and strong sense of accountability
• Languages: Professional proficiency in English, combined with professional proficiency in either French or Dutch

Nice to haves (= technologies/expertise you will be exposed to, but for which previous experience is not a must to be considered for the job):

• Experience with Power BI or other BI-tools
• Experience with Spark (Databricks) or advanced Python skills
• Experience with Microsoft Azure
• Experience with Kubernetes
• Knowledge of HL7 or FIHR
• Knowledge of medical ontology libraries (e.g. UMLS, Athena) and OMOP CDM
• German

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