Data Management Engineer

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: Data Management Engineer

Job Description

As a Data Management Engineer, you will work in an Operations team of 15+ employees to successfully deliver projects. 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)
  • Adapt process pipelines and accommodate 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 compliance of data storage in the OMOP CDM
  • Communicate with clinicians and data scientists at our clients about the scope, the process and the output
  • 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)
  • Experience with Python (2 years +), preferably to automate data cleaning, data processing and/or data quality assessment
  • Experience with Spark (Databricks)
  • 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):

  • Having a medical (or medical-related) degree or experience in working with medical & clinical data
  • Experience with SQL, Power BI or other BI-tools
  • 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

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We’re always excited to meet experience as well as high potentials looking to discuss their future.

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