Clinical Data Management Engineer
il y a 3 semaines
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.
A chance to be at the forefront of healthcare data innovation, working with a team of 25 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.
extralegal benefits such as mobility budget, hospitalization insurance, group insurance, meal-vouchers, net cost-allowance and reimbursement of mobile telco subscription
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. Steer and support process improvements in a variety of areas such as quality assurance, data processing, NLP pipeline deployment and medical ontology usage. 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
Languages: Professional proficiency in English, combined with professional proficiency in French and/or Dutch
technologies/expertise you may be exposed to, but for which previous experience is not a must to be considered for the job):
Experience with Spark (Databricks) or advanced Python skills
Knowledge of medical ontology libraries (e.g. German
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