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Associate Director, Data Analytics Engineering

  • Job
    Full-time
    Senior & Expert Level
  • Data
    Research & Development
  • Barcelona
  • Quick Apply

AI generated summary

  • You must have a relevant degree, extensive R experience, SQL proficiency, familiarity with oncology datasets, project management skills, and knowledge of biomedical vocabularies and databases.
  • You will develop R packages for patient cohort analysis, write queries for data extraction, ensure data quality, and assist data scientists with data wrangling for specific analyses.

Requirements

  • PhD or Master's degree in a related field (e.g., Bioinformatics, Analytics, Computer Science) or equivalent experience.
  • Extensive experience with R and proven track record of developing and maintaining R packages.
  • Experience working with SDTM and ADAM data formats as well as oncology real world datasets (e.g., Flatiron, Tempus, SEER, Optum).
  • Deep expertise in common SQL dialects (e.g., Postgres, Spark) and proficiency with other data querying languages.
  • Excellent data manipulation and analysis skills.
  • Experience with working in matrix organizations and leading cross-team projects involving multiple stakeholders.
  • Contributions to open-source analytics packages.
  • Experience with development and maintenance of Python packages.
  • Experience with data management tools and platforms.
  • Experience in project management, coordination of mid-size cross-functional teams.
  • Experience with common biomedical vocabularies (OMOP, Gene Ontology, NCI Thesaurus, ISA-Tab, MeSH, Human Disease Ontology, BAO, EFO, Human Phenotype Ontology, others), ontology repositories (NCBO Bioportal, EBI OLS) and common reference databases (e.g. Uniprot, Ensembl, CHEMBL, EntrezGene, ClinicalTrials.gov).

Responsibilities

  • Develop and maintain analytics R packages that streamline patient cohort creation and outcomes analysis.
  • Develop logic and write queries to extract specific data elements from licensed Real-World Data and clinical trial datasets (from both STDM/ADAM); work together with Data Engineering team to develop and implement automated data extraction pipelines.
  • Perform data cleaning and validation tasks to ensure data quality and consistency and work with portfolio-facing data scientists to support data wrangling to meet specific analysis needs.

FAQs

What is the location of the job?

The job is located in Barcelona, Spain and requires on-site work for 3 days and 2 days working from home.

What are the primary responsibilities of the Associate Director, Data Analytics Engineering?

The primary responsibilities include developing and maintaining analytics R packages, writing queries to extract data from clinical datasets, and performing data cleaning and validation tasks to ensure data quality and consistency.

What educational qualifications are required for this position?

A PhD or Master's degree in a related field such as Bioinformatics, Analytics, or Computer Science, or equivalent experience is required.

Is experience with R necessary for this role?

Yes, extensive experience with R and a proven track record of developing and maintaining R packages are essential requirements.

What types of datasets should candidates be familiar with?

Candidates should have experience working with SDTM and ADAM data formats as well as oncology real-world datasets like Flatiron, Tempus, SEER, and Optum.

Are SQL skills required for this position?

Yes, candidates should have deep expertise in common SQL dialects such as Postgres and Spark, along with proficiency in other data querying languages.

Will candidates be working with cross-functional teams?

Yes, experience with working in matrix organizations and leading cross-team projects involving multiple stakeholders is essential.

Are there any desirable qualifications for this role?

Yes, desirable qualifications include contributions to open-source analytics packages, experience with Python package development, and familiarity with biomedical vocabularies and ontology repositories.

Is experience in project management beneficial for this role?

Yes, experience in project management and coordination of mid-size cross-functional teams is considered desirable.

What tools and platforms should candidates have experience with?

Candidates should have experience with data management tools and platforms.

What science can do

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. AstraZeneca is a global pharmaceutical company dedicated to improving the health and well-being of people worldwide. With a focus on innovative research and development, AstraZeneca develops and manufactures a wide range of prescription medicines, including treatments for cardiovascular, respiratory, oncology, and other therapeutic areas. Their aim is to transform the lives of patients by discovering, developing, and delivering innovative medicines that address unmet medical needs. AstraZeneca's purpose is to push the boundaries of science and collaborate with healthcare professionals, organisations, and communities to improve patient outcomes and contribute to the advancement of healthcare globally.