Principal Engineer, AI/Software Support, Pooled Screening Core

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Act as the principal software and AI technical authority for high-throughput screening capabilities within Cell & Genetic Medicines.

• Design and implement a scalable architecture that integrates laboratory automation, analytical instruments, enterprise systems, scientific data, and user workflows.

• Develop applications, APIs, data pipelines, computational tools, and user-friendly visualization solutions to facilitate cell therapy discovery.

• Create and deploy AI-enhanced functionalities, including machine learning, generative AI, retrieval-augmented generation, and agentic workflows.

• Identify and prioritize software and AI initiatives that enhance organizational effectiveness, scientific productivity, operational efficiency, and informed decision-making.

• Convert experimental processes and scientific inquiries into intuitive, maintainable, and reproducible digital solutions.

• Organize and contextualize screening data, constructing information, assay metadata, and analytical outputs.

• Enhance experimental planning, data quality, hit identification, candidate ranking, and knowledge retention.

• Establish engineering best practices covering architecture, development, testing, documentation, version control, deployment, observability, security, and lifecycle management.

• Foster cross-functional and cross-departmental collaborations across Discovery Research, IT, Business Technology, and other teams.

• Align stakeholders, clarify expectations, and communicate decisions, risks, trade-offs, and progress effectively.

• Shape technical direction without direct authority.

• Mentor scientists and engineers in software engineering, data architecture, and ethical AI practices.

• Create a connected, data-driven screening environment that supports reproducible experiments and therapeutic candidate selection.

⛳️ Requirements

• Bachelor’s degree in computer science, software engineering, data science, computational biology, bioinformatics, engineering, or a related technical field, along with substantial relevant industry experience.

• Extensive experience in designing and delivering complex software systems within scientific, engineering, biotechnology, pharmaceutical, or similarly data-intensive settings.

• Proven experience in integrating AI/ML or generative AI models into functional, production-quality software systems.

• Proficiency with Amazon Web Services (AWS), including provisioning and managing compute instances, as well as working with Amazon S3 buckets for secure data storage, access, and transfer.

• Strong systems thinking capability, with the ability to understand scientific workflows and translate user requirements into scalable technical solutions.

• Exceptional communication, stakeholder management, and relationship-building capabilities.

• Ability to manage projects and expectations across organizational boundaries.

• Effectiveness in highly collaborative, multidisciplinary teams.

• Willingness to travel approximately 10–15% annually.

• Preferred: advanced degree.

• Preferred: experience in drug discovery, cell therapy, functional genomics, high-throughput screening, or laboratory automation.

• Preferred: experience in integrating robotic systems, analytical instruments, and automated data-generation platforms.

• Preferred: familiarity with high-dimensional biological datasets, FAIR data principles, scientific metadata standards, data governance, and regulated or highly controlled technology environments.

• Preferred: experience in developing scientific applications, visualization tools, knowledge systems, workflow orchestration, or AI agents.

• Preferred: hands-on experience with electronic laboratory notebook software, particularly Benchling.

• Preferred: experience embedded within laboratory-facing organizations and collaborating directly with experimental scientists.

🏝️ Benefits

• Consolidated retirement plan (pension).

• Savings plan (401(k)).

• Long-term incentive program.

• Vacation – 120 hours per calendar year.

• Sick time – 40 hours per calendar year; 48 hours for employees residing in Colorado; 56 hours for employees residing in Washington.

• Holiday pay, including Floating Holidays – 13 days per calendar year.

• Work, Personal and Family Time – up to 40 hours per calendar year.

• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child.

• Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year.

• Caregiver Leave – 80 hours in a 52-week rolling period.

• Volunteer Leave – 32 hours per calendar year.

• Military Spouse Time-Off – 80 hours per calendar year.

• Remote work arrangement.

• Approximately 10–15% travel to company sites.