At LynxCare, we’ve built an AI/NLP platform to unlock the patient data siloes at scale, enabling all healthcare stakeholders (clinicians, hospitals, life science companies, governments, ..) to drive innovation and improve patient care.
LynxCare is a fast-growing scale up company based in Belgium, with a team of 50 highly motivated clinical and data experts. We recently raised our EUR 20Mio Series A backed by top tier investors from BE, FR, DE, and CH. We are now on a mission to lead in the transformation of global healthcare data by leveraging artificial intelligence.
Job title: Clinical Data Management Engineer
Job Description
As a Clinical Data Management Engineer, you will work in a Data Management team of 10+ people to successfully deliver databases. You’ll be responsible for delivering quality healthcare databases operating our AI platform, including:
- Plan and execute the data processing track and timelines in multiple hospitals and therapeutic areas in parallel (both functional & technical aspects of the projects belong to your responsibilities). Therapeutic areas include a.o. cardiology, oncology, gastro-enterology, respiratory
- Adapt clinical processing pipelines and accommodate clinical quality feedback in collaboration with our R&D teams (NLP engineers, data engineers) and medical terminology teams
- Oversee the correct usage of medical ontology libraries and the compliancy of data storage in the OMOP CDM
- Communicate with clinicians and data scientists at our clients about research questions, methodology definitions, clinical anomalies
- Steer and support process improvements in a variety of areas such as quality assurance, pipeline deployment, medical ontology usage. This includes developing and deploying scripts that drive the automation and scalability of our operational processes
Skills & Experience
Essentials:
- Experience in working with (large) datasets (2+ years)
- Having a degree in (para-)medical sciences or a related field (physiotherapy, audiology, …) or experience in working with medical & clinical data
- Positive attitude, team spirit, analytic problem-solving skills detail oriented
- Experience with project management, self-starting, adaptable, enthusiastic
- An eye for customer-excellence, spirit of accountability, professionality towards clients
- Languages: English (required), French or Dutch (1 of the 2)
- 3-5 years of relevant job experience
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 SQL, Power BI or other BI-tools
- Experience with Spark (Databricks)
- Experience with Python, preferably to automate data cleaning, data processing and/or data quality assessment
- Understanding of cloud storage and cloud computing in one of the regular Public Clouds: AWS, Azure, Google Cloud
- Knowledge of hospital IT systems and medical communication protocols (e.g. HL7)
- Knowledge of medical ontology libraries (e.g. UMLS, Athena, …) and OMOP CDM
- Experience with NLP or other types of machine learning
What you will get
- You will work in a fast-growing clinical data & analytics company based in Leuven (Belgium), where initiative is valued and personal/professional growth is supported
- You will be part of a young team of 50 colleagues, consisting of a mix of clinicians and data scientists, and work on challenging projects together with physicians and pharmaceutical companies
- You will work in a company which recently completed a robust Series A funding round
- As we are a young company, you will have the possibility to help shape the company’s future
- Attractive salary package, incl. extralegal benefits such as a mobility budget, hospitalization insurance, group insurance, meal-vouchers, net cost-allowance, reimbursement of mobile telco subscription, and your own company laptop
- Hybrid working; partly in the office and partly work-from-home
- Trainings & seminars with your team