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Data Analyst / Informatics Analyst
Data Analyst / Informatics Analyst
Odysseus Data Services, UAB
Data Analyst / Informatics Analyst

Data Analyst / Informatics AnalystOdysseus Data Services, UAB

Odysseus provides services which require highly specialized skills:

  • Data manipulation and transformation into the OMOP Common Data Model
  • Medical coding, mapping and management of complex medical vocabularies
  • Experience with country-specific features and conventions
  • Software product development on the basis of observational patient data, especially in the OHDSI platform

Odysseus team interacts directly with the experts from Observational Health Data Sciences and Informatics (OHDSI) collaborative and complementing them with the team of seasoned software engineers.

Responsibilities

  • Be a part of the larger ETL team and support ETL activities / data harmonizations by performing data analysis, creating ETL specifications, including data mappings, advanced data transformations, business rules
  • Interact with customers to understand and explain Patient health data, including EHR and Medical Claims, Patient Registries, clinical trials data and other health data sets
  • Participate in the development of world standards for the presentation and exchange of medical data (OMOP CDM and OMOP Standardized Vocabularies)
  • Assist in the data harmonization and research activities for the customers in the life sciences and healthcare
  • To be a part of the team focused on building the Real-World Evidence solution to provide leading-edge clinical and commercial insights to the life sciences organizations with the goal of transforming treatment research and improving outcomes for patients

Required Skills

  • Min. Bachelor’s degree in Clinical Informatics/Health information Management / IT or related degree, Masters Degree Preferred. Medical degree is a plus
  • Knowledge of English at C1 / C2 level (spoken and written)
  • Advanced knowledge of working with databases and SQL language (PostgreSQL, Oracle, AWS RedShift, GCP BigQuery or similar)
  • Experience with BI platforms (Qlik, Tableau, Spotfire) is a big plus
  • Programming Experience with Python, Spark/Spark SQL, Hadoop Machine learning is a big plus
  • Previous experience working in life science and healthcare is a big plus

What we offer

  • An attractive work/life balance (40-hours per week)
  • Comfortable office with all amenities
  • Official employment in accordance with the legislation of Lithuania.
  • Competitive salary
  • Paid vacation and sick leave
  • Free language courses

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