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Senior Scientist I - Bioinformatics, Biotherapeutics and Genetic Medicine

AbbVie
June 28, 2026
Remote friendly (Worcester, MA)
United States
$96,500 - $183,500 USD yearly
Clinical Research and Development
Responsibilities:
- Independently design digital workflows or tools to streamline biologics discovery and evaluate operational efficiency improvements
- Identify, champion, and test software solutions mapped to BGM needs
- Proactively identify scientist needs that advance digital transformation and propose solutions
- Pilot new software and AI tools, evaluate utility for BGM, and train others
- Design and implement standard analyses and visualizations balancing customization and efficiency
- Represent BGM to Informatics and external software vendors as a technical and strategy expert
- Collaborate across groups to drive alignment
- Understand and communicate wet-lab workflow nuance to enable integrated, harmonized data capture and champion data stewardship
- Proactively communicate roadblocks and identify paths forward
- Communicate impact at internal and external forums

Qualifications:
- BS, MS, or PhD in a related scientific discipline or bioinformatics (typically 10+ years BS, 8+ years MS, or 0–3 years PhD)
- Strong knowledge of molecular biology, protein biochemistry, and genetics
- Hands-on experience in a biology or biochemistry lab setting
- Hands-on experience with bioinformatics tools/platforms (e.g., SnapGene, Geneious, Genedata Biologics, Pipebio, Benchling)
- Proficiency in Microsoft Excel, SQL, and at least one programming language (Python or R)
- Expertise retrieving, preprocessing, and managing large datasets from databases
- Ability to develop interactive data visualizations/dashboards (Power BI, Tableau, D3.js, or Spotfire preferred)
- Experience with CRO data management/data standardization
- Experience integrating and automating lab instrumentation for data acquisition
- Ability to prioritize with evolving needs and reach stakeholder consensus

Preferred:
- Experience with programming libraries/frameworks for custom apps (Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Streamlit)
- Familiarity with antibody or genetic medicine R&D and drug discovery process

Benefits (if applicable): Paid time off; medical/dental/vision insurance; 401(k) (eligible employees); short-term incentive program eligibility.