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? 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 and data pipelines, collaborating with internal and external stakeholders, and ensuring the scalability, reliability, and performance of our data processes and quality procedures .
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.
- 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
Job Description
As a Clinical Data (Management) Engineer, you work in a small team of Data (Management) Engineers to develop high quality data flows to successfully build and maintain real-world-evidence databases. This includes:
- Manage and execute data uploads, data quality assessment and quality improvements to build and maintain databases for hospitals across Europe in multiple 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 data pipelines, data quality and reporting. This includes developing and deploying software/tools that drive the automation and scalability of our operational processes
- Collaborate with the other engineering subteams and other internal stakeholders to optimize our integrated product offering
- Oversee the correct usage of medical ontology libraries and the compliancy of OMOP data storage
You have:
- 2-4 years working experience with (large) datasets and data pipelines
- Experience in data transformation, data engineering and data quality control
- Experience with spark and Databricks (or Jupyterhub)
- Programming skills in Python and SQL
- Training or interest in (para)medical topics or health care
- Team player mindset with an analytic problem-solving mind and an eye for detail
- Effective communicator with diligence and strong sense of accountability
- Languages: English (Professional)
You have (nice to have):
(= 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, Metabase or other BI-tools
- Experience with Azure and/or Kubernetes
- Experience with R
- Knowledge of medical ontology libraries (e.g. UMLS, Athena) and OMOP CDM
- Experience with NLP or other types of machine learning
- Dutch (Professional)
- French, German or Spanish (Basic proficiency or higher)
Join us in our mission to transform healthcare through data innovation!
Job Type: Full-time
Benefits:
- Cell phone reimbursement
- Company computer
- Food allowance
- Hospitalization insurance
- Internet reimbursement
Ability to commute/relocate:
- 3000 Leuven: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
- Will you now or in the future require sponsorship for employment visa status?
Language:
- Dutch (Preferred)
- French (Preferred)
- English (Preferred)
Work Location: Hybrid remote in 3000 Leuven
