Animal Data Specialist

7 days ago


Dublin, Dublin City, Ireland Psc Biotech Full time

About PSC Biotech

PSC Biotech is a leading biotechnology consultancy firm, founded in 1996 and headquartered in Pomona, California, USA. We operate globally with offices in Ireland, India, Singapore, Australia, and the US, serving over 350 clients worldwide.

We offer cloud-based software solutions for quality management and regulatory inspections, catering to pharmaceutical contract manufacturing professionals and metrology services. Our disruptive approach aligns our Employee Value Proposition (EVP) as a unique selling point, offering talented professionals opportunities to work with like-minded individuals in the Pharma/Biotech industry.

Employee Value Proposition

Our employees are the heartbeat of PSC Biotech. We empower career development through in-house training, mentorship, and constant guidance to facilitate career progression. We believe in creating high-performing teams that exceed client expectations regarding quality, scalability, and business unit deliverables.

The Role

We are seeking a Data Manager to join our Animal Health Data Labs organization. As a Data Manager, you will be vital in building animal data models, working closely with Marketing, IT, and R&D leads and teams to explore data uploaded to our platform. You will innovate new data features, collaborate with data scientists, and create innovative farm and animal KPIs promoting animal health and wellbeing.

Responsibilities:

  • Develop and implement data models revolving around animals
  • Define and enforce data standards, naming conventions, and classification schemes
  • Collaborate with marketing, veterinary professionals, researchers, data engineers, and data management teams to identify data-related requirements and ensure alignment with animal health objectives
  • Monitor data quality and proactively identify and resolve issues or anomalies in animal health records and datasets
  • Conduct data profiling, analysis, and validation to ensure accuracy, completeness, and consistency of animal health data
  • Establish data documentation and metadata management processes for animal health records, diagnostic, and research data
  • Provide guidance and support to veterinary professionals and researchers on data governance best practices and standards in animal health


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