Bioprocess Data Designer
1 month ago
Job Description:
We are seeking a highly skilled Data Architect to join our Biologics Product Development Science & Technology group and drive forward our Digital Transformation. As an expert in treating scientific data context, you will be responsible for designing, implementing, and maintaining the data infrastructure that supports our bioprocess development and manufacturing support activities.
- In collaboration with IT teams, Business System Owners, and SMEs, define overall data architecture, including data within systems, data movement between systems, data ontology/normalization, and data warehouse design and implementation.
- Effectively partner with cross-functional groups within PDS&T and outside stakeholders (R&D, Manufacturing, Quality) to understand business process data flows, data analytics, and data science needs.
- Interface with other data governance and ontology organizations and initiatives within AbbVie to coordinate vocabulary between research, operations, etc. Actively participate in communities outside AbbVie and review relevant literature to learn best practices from vendors and industry peers.
- Develop and implement data science upskilling programs for those interested in PDS&T Bio.
- Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.
Qualifications:
- Bachelor's Degree with 12 years' experience; Master's Degree with 10 years' experience; PhD with 4 years' experience.
- The ideal candidate brings a blend of strong scientific experience in the biotech/pharma industry and proficient IT skills.
- Team player with a proven capability to work in a matrixed environment with diverse groups including subject matter experts, scientists & IT, and with the ability to influence and align stakeholders.
- Proven implementation of technology solutions that advanced the business.
- Excellent written and oral English communication skills.
Skills:
- Broad knowledge of CMC workflows and key data and analytics that drive decisions.
- Proficient in Python for data science applications.
- Experience with dashboard development in Spotfire, Tableau, and/or PowerBI.
- Experience with cloud deployment.
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