Senior Scientist I - Bioinformatics, Biotherapeutics and Genetic Medicine
AbbVie
August 10, 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 improvements in operational efficiency
- Identify, champion, and test software solutions that map to the needs of BGM
- Proactively identify scientist needs to further digital transformation strategy and propose solutions
- Pilot new software and AI tools to 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 and drive toward alignment
- Understand and communicate wet-lab workflow nuance to enable integrated, harmonized data capture and champion data stewardship
- Proactively communicate roadblocks and identify potential paths forward
- Communicate impact at internal and external forums
Qualifications:
- BS/MS/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 biology or biochemistry lab experience
- Hands-on bioinformatics tools/platforms (e.g., SnapGene, Geneious, Genedata Biologics, Pipebio, Benchling)
- Proficiency in Microsoft Excel, SQL, and at least one programming language (e.g., Python or R)
- Expertise retrieving, preprocessing, and managing large datasets
- Ability to develop interactive visualizations/dashboards (Power BI, Tableau, D3.js, or Spotfire preferred)
- Experience with CRO data management/data standardization
- Experience integrating/automating lab instrumentation for data acquisition
- Ability to prioritize evolving needs and reach consensus
Preferred:
- Experience with programming libraries/frameworks (e.g., Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Streamlit)
- Familiarity with antibody or genetic medicine R&D and drug discovery process
Benefits:
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees
- Eligible for short-term incentive programs
- Independently design digital workflows or tools to streamline biologics discovery and evaluate improvements in operational efficiency
- Identify, champion, and test software solutions that map to the needs of BGM
- Proactively identify scientist needs to further digital transformation strategy and propose solutions
- Pilot new software and AI tools to 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 and drive toward alignment
- Understand and communicate wet-lab workflow nuance to enable integrated, harmonized data capture and champion data stewardship
- Proactively communicate roadblocks and identify potential paths forward
- Communicate impact at internal and external forums
Qualifications:
- BS/MS/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 biology or biochemistry lab experience
- Hands-on bioinformatics tools/platforms (e.g., SnapGene, Geneious, Genedata Biologics, Pipebio, Benchling)
- Proficiency in Microsoft Excel, SQL, and at least one programming language (e.g., Python or R)
- Expertise retrieving, preprocessing, and managing large datasets
- Ability to develop interactive visualizations/dashboards (Power BI, Tableau, D3.js, or Spotfire preferred)
- Experience with CRO data management/data standardization
- Experience integrating/automating lab instrumentation for data acquisition
- Ability to prioritize evolving needs and reach consensus
Preferred:
- Experience with programming libraries/frameworks (e.g., Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Streamlit)
- Familiarity with antibody or genetic medicine R&D and drug discovery process
Benefits:
- Paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees
- Eligible for short-term incentive programs