Data Analyst

Data Analyst

What will you do?

As a Data Analyst you’ll lead data harmonization projects, and work with clients to understand and map their data to a common data model in order to facilitate research and knowledge extraction. Investigate, explore and visualize data for insights. Design end-to-end solutions that go from source data to risk estimation.

Responsibilities

Analyze data models for observational patient data in use by hospitals, clinics, universities and other clients

Work with the client to define the mapping and approach needed to transform the client’s data to the OMOP CDM (Common Data Model)

Work with the client to evaluate data quality and define inclusion/exclusion criteria

When needed, codify local data categorizations and map to standard terminology

Define and plan the implementation and execution of the ETL, and work with team members to implement and deploy the solution

Effectively document and communicate technical data analyses, architecture, mapping designs, quality controls, and results

Who are we looking for?

Hard requirements

  • Degree

    Advanced technical degree (Master) in Computer Science, Bioengineering, Data Science, Physics, Applied Sciences
    or similar field

  • Experience

    - 3+ years of experience as analyst or similar role
    - Experience analyzing and extracting meaningful insights from data
    - Experience with advanced visualizations and visual analytics
    - Data modelling experience using relational database

  • Programming Skills

    Good programming skills in Python, R, or other languages

  • Interests

    Strong interest in health-data related cutting-edge technologies and methodologies

  • Language

    Fluent in English, knowledge of Dutch, French and other languages a plus

Bonus points

  • Experience

    - Experience with working in health or life science domain
    - Experience with ETL design and development
    - Experience with healthcare IT and systems (EHR/EMR, health registries)
    - Experience with Machine Learning methods for creating prediction models based on observational data
    - Experience with OMOP CDM and OHDSI tools and libraries

  • Knowledge

    - Python statistics and data-wrangling libraries (Numpy, Pandas, etc.)
    - Python web frameworks and API's (Django, Flask, etc.)
    - Knowledge of medical terminologies and controlled vocabularies (ICD-10, SNOMED, LOINC, RxNorm, etc.) used in healthcare data
    - Knowledge of statistical tools for analysing observational data

What do you get in return for your talent?

You will join a passionate team of professionals who all strive for one common goal: to improve people’s lives through innovative technology in healthcare.

In addition, you’ll have the opportunity to help shape the organization and contribute to edenceHealth’s story and growth.

You get the chance to work very flexibly, manage your own agenda and spend most of your time working remotely.

Finally, you can of course also count on an attractive salary package supplemented with a full range of extra-legal benefits.

Interested?

  • We’d like to get to know you! Apply now and sent your resume and motivation letter!