Research Scientist I

About the Role

The Research Scientist I, Attribute Sciences Computational Biology, AI & Scientific Informatics will be responsible for accelerating adoption of artificial intelligence, agentic workflows, and advanced analytics across Analytical Development. This role will combine expertise in biological sciences, bioinformatics, data science, and generative AI to build AI-powered tools that improve scientific productivity, knowledge management, data accessibility, and decision-making to guide process development and product knowledge of viral vector-based gene delivery platforms and T cell therapies.

Key Responsibilities

• AI Agent Development
• Design and deploy Copilot, Copilot Studio, or similar AI agents supporting scientific workflows.
• Develop RAG-based knowledge assistants that integrate information from various enterprise knowledge sources.
• Create agents that: answer scientific questions, retrieve and summarize technical information, generate draft reports, support investigations, assist with study planning and scheduling, support operational excellence.
• Evaluate AI tool accuracy, groundedness, hallucination rates, performance and citation quality.
• Bioinformatics & Scientific Computing
• Analyze multi-modal biological datasets including NGS, omics, vector characterization, and cell therapy process data.
• Develop pipelines for automated data processing and visualization.
• Knowledge Management and Automation
• Support digital transformation initiatives involving electronic lab notebook and data lake infrastructure.
• Automate repetitive scientific workflows and documentation tasks.
• Build solutions that improve data discoverability and scientific knowledge reuse.
• Cross-functional Collaboration
• Work directly with scientists, IT and digital teams to identify opportunities where AI can improve productivity.
• Translate scientific business problems into technical AI solutions.
• Train stakeholders on effective use of AI tools and prompt engineering techniques.
• Applied Data Science
• Build predictive and descriptive models supporting process development and manufacturing.
• Develop statistical tools for identifying relationships between process parameters and manufacturing outcomes.
• Design dashboards and decision-support systems.

Requirements & Tech Stack

• Strong communications skills with both technical and non-technical stakeholders.
• Curiosity about emerging AI capabilities.
• Ability to understand scientific workflows and needs and translate those into working products.
• Software/programming skills sufficient to independently build and deploy AI and data science solutions.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Data Science, Computer Science or related discipline
• OR Masters' Degree and 4+ years experience
• OR Bachelor's Degree and 6+ years experience
• OR Associates Degree and 8+ years experience
• OR High School Degree and 10+ year experience

Preferred Qualifications

• 3+ years of experience in AI, including experience with LLMs, vector databases, agentic frameworks, prompt engineering, and evaluation frameworks.
• Knowledge of advanced statistical techniques/concepts and proficiency in statistical computer languages (i.e. R, Python, SQL) to analyze data and draw insights from large data sets.
• Knowledge of cell biology, cancer biology, and/or immunology.
• Experience performing bioinformatics (NGS analysis) and/or data analytics with high dimensional data to drive business solutions.
• Experience with machine learning, statistical modeling, experimental design and data visualization.
• Ability to think critically and demonstrate troubleshooting and problem-solving skills.
• Highly collaborative with excellent interpersonal, verbal and written communication skills.
• Self-motivated, detail-oriented, and willing to accept temporary responsibilities outside of initial job description.
• Comfortable in a dynamic, fast-paced environment.