Note: The job is a remote job and is open to candidates in USA. BeOne Medicines is a global biopharmaceutical company dedicated to discovering and developing innovative drug therapies for cancer treatment. The Senior Manager, Global Digital & Technology Systems Engineering executes systems engineering activities across R&D systems, cloud and SaaS platforms, integrations, HPC, and foundational AI architectures. The role coordinates with Enterprise IT, vendors, and R&D stakeholders to deliver secure, compliant, observable, and operationally supportable technology solutions.
Responsibilities
- Execute assigned tasks within the Enterprise IT engagement model, coordinating with Global Technology Solutions to align R&D solutions with infrastructure, cybersecurity, identity management, cloud platform, and operational standards
- Support technical design reviews, implementation dependency tracking, access / environment coordination, and issue resolution with Enterprise IT, vendors, and R&D stakeholders
- Document specialized R&D technical needs, constraints, risks, and exceptions for review by the Associate Director and Senior Director
- Manage assigned systems engineering activities across on-premises, hybrid cloud, vendor-hosted, and multi-tenant SaaS environments, applying standards established for the Systems Engineering capability area
- Develop and maintain technical documentation, integration designs, deployment plans, environment details, runbooks, and platform lifecycle artifacts for assigned systems or workstreams
- Coordinate secure data, digital, and technology integration activities that connect third-party platforms, internal systems, and scientific data flows across defined R&D processes
- Implement observability, telemetry, monitoring, alerting, and supportability practices for assigned systems to improve reliability, performance, and operational readiness
- Support configuration, deployment, validation readiness, and operational handoff activities for high-performance computing clusters, containerized environments, storage layers, data lakes, and pipelines supporting compute-heavy R&D use cases
- Track and execute technical lifecycle activities for assigned systems, including patch coordination, release preparation, codebase / configuration documentation, automated deployment inputs, and transition to steady-state support
- Implement assigned components of RAG architectures, vector store integrations, semantic retrieval layers, chunking strategies, and AI-enabled systems under the direction of the Associate Director and Senior Director
- Support reusable implementation patterns for agentic AI workflows, secure AI gateway integrations, multi-agent orchestration, and integration controls consistent with enterprise security and intellectual property protections
- Assist in engineering integration patterns that allow systems to ingest, process, and reason across diverse data types and multi-modal inputs and outputs while maintaining appropriate controls and compliance expectations
- Execute technical change activities for assigned infrastructure modernization, cloud migration, integration, and platform adoption workstreams in collaboration with Global Technology Solutions and R&D stakeholders
- Prepare and maintain technical impact assessments, adoption inputs, cutover checklists, support handoff materials, and release readiness documentation for leadership review
- Help teams apply consistent integration standards, system documentation practices, and operational readiness expectations across assigned technology workstreams
- Apply architecture, security, compliance, and operational controls for assigned systems, including data protection expectations, secure AI gateway patterns, sandboxing requirements, and vendor risk inputs
- Identify, document, and escalate technical risks, architectural constraints, support gaps, compliance considerations, and execution dependencies to the Associate Director and Senior Director
- Coordinate with audit, compliance, CSV, cybersecurity, Enterprise IT, and vendor partners to support applicable pharmaceutical industry, GxP, computer systems validation, and internal policy requirements
- Maintain disciplined use of engineering documentation, technical decision records, risk logs, implementation checklists, support artifacts, and operational handoff materials for assigned work
- Ensure assigned systems and platforms are implemented and operated in line with relevant pharmaceutical regulations, internal policies, security standards, and validation expectations
- Collaborate with R&D functional teams, Enterprise IT, vendors, and GRDTS peers to execute workstream objectives and improve delivery quality
- Provide clear status, issue, dependency, and decision updates to the Associate Director and Senior Director to support transparency and timely leadership action
- Reports to the Senior Director, Global Digital & Technology Systems Engineering; works in close coordination with the Associate Director on assigned workstream priorities, standards, and execution expectations
- No direct line-management responsibilities are required for this role. Provides day-to-day technical coordination for assigned systems engineering workstreams, project contributors, vendor resources, and matrixed technical teams
- Coaches team members and partners on systems engineering practices, technical documentation, integration standards, observability, operational readiness, and compliance expectations
Skills
- Hands-on programming experience with Python and SQL for automation, data pipeline integration, API testing, platform scripting, and technical troubleshooting
- Working knowledge of JavaScript / TypeScript for web application integration, workflow automation, and lightweight front-end or API-driven solution delivery
- Experience with scripting and automation using Bash, PowerShell, or equivalent tools for deployment support, environment configuration, log analysis, and operational runbooks
- Practical understanding of REST APIs, event-driven integration, JSON / XML data exchange, authentication patterns, and secure system-to-system connectivity
- Experience with cloud and platform engineering practices across AWS and/or Azure, including compute, storage, networking, identity, access controls, monitoring, and cost-aware resource usage
- Working knowledge of containers and orchestration technologies such as Docker and Kubernetes, plus infrastructure-as-code or configuration automation tools such as Terraform, CloudFormation, Ansible, or similar
- Familiarity with DevOps and release practices, including Git, branching strategies, pull request reviews, CI/CD pipelines, deployment documentation, automated testing inputs, and environment promotion controls
- Technical awareness of high-performance computing (HPC), Linux environments, job schedulers, storage layers, and workload patterns supporting compute-intensive scientific use cases
- Applied knowledge of ML / AI / genAI implementation patterns, including retrieval-augmented generation (RAG), embeddings, vector databases, semantic search, model integration, prompt / response controls, secure AI gateways, and agentic workflow orchestration
- Ability to implement observability and supportability practices using logs, metrics, traces, telemetry, alerting, dashboards, runbooks, and incident / problem management workflows
- Understanding of cybersecurity, identity and access management, data protection, intellectual property safeguards, vendor-hosted platform controls, GxP computer systems validation, and 21 CFR Part 11 expectations in regulated R&D environments
- Bachelor's degree or above
- 3+ years of professional experience in data, digital, information technology, AI, systems engineering, cloud, infrastructure, integration, platform engineering, or related technical delivery roles, preferably in Pharmaceutical, Biotechnology, and/or Medical Device industries
- Experience coordinating technical work across cross-functional, matrixed, vendor, Enterprise IT, or engineering teams through system design, implementation, supportability, and operationalization activities
- Practical experience with systems engineering for externally developed platforms, SaaS solutions, integration architectures, observability practices, cloud / hybrid infrastructure, and technical application lifecycle activities
- Hands-on experience with ML/AI/genAI end-to-end development & deployment from a systems engineering perspective, including RAG, vector stores, AI gateways, agentic workflows, and secure integration patterns
- Ability to partner with Enterprise IT, cybersecurity, infrastructure, cloud, identity management, compliance, audit, vendors, and R&D stakeholders to execute technically sound and compliant solutions
- Working knowledge of software lifecycle methodologies, GxP computer systems validation (CSV), 21 CFR Part 11 expectations, and pharmaceutical industry compliance considerations
- Strong communication, documentation, technical analysis, issue management, and stakeholder coordination skills, with the ability to translate technical details into clear decisions, risks, dependencies, and action plans
- Proficient in project and delivery practices such as Agile, Scrum, Kanban, Lean, release management, and operational readiness planning. Arch
- Familiarity with R for scientific, statistical, or analytics workflows
- Exposure to Java, C#, or similar enterprise application languages
Benefits
- Non-Commercial roles are eligible to participate in the annual bonus plan.
- All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards.
- All Company employees have the opportunity to voluntarily participate in the Employee Stock Purchase Plan.
- Medical
- Dental
- Vision
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness
Company Overview
Company H1B Sponsorship