
10,000+ employees
Founded 2010
đ§Ź Biotechnology
đĽ Healthcare
đ Pharmaceuticals
Biotechnology ⢠Healthcare ⢠Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
đĽ 1 minute ago
đşđ¸ United States â Remote
đľ $137.4k - $182.4k / year
â° Full Time
đ Senior
đ¤ AI Engineer
đť Ghost score 1%
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10,000+ employees
Founded 2010
đ§Ź Biotechnology
đĽ Healthcare
đ Pharmaceuticals
Biotechnology ⢠Healthcare ⢠Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
⢠Architect, build, and deploy AI and agentic applications for protocol generation and clinical trial execution ⢠Accelerate workflows from study design through operational delivery ⢠Partner with clinicians, medical writers, statisticians, data scientists, clinical operations, and product teams ⢠Define scalable and reliable architecture for multi-agent orchestration, model and tool integration, and the full LLMOps lifecycle ⢠Establish best practices for AI-native development, evaluation, testing, observability, and continuous performance monitoring within a validated SDLC ⢠Assess frontier and open-weight models, agent frameworks, and tooling ⢠Make build, buy, and model sourcing decisions ⢠Uphold GxP, data privacy, security, and responsible AI standards ⢠Build traceability, auditability, and human oversight into systems ⢠Own product development and technical direction from concept through production ⢠Lead project execution, priorities, scope, and timelines for the AI engineering team ⢠Mentor AI and software engineers through design and code reviews, reference implementations, and hands-on guidance ⢠Lead cross-functional technical workstreams with clinical, medical writing, biostatistics, and clinical operations partners
⢠Bachelor's degree with 7+ years of experience, Master's degree with 5+ years of experience, or PhD with 3+ years of experience ⢠Software and AI/ML engineering experience ⢠Experience as a tech lead or principal engineer owning large-scale AI products end to end ⢠Experience shipping production-grade AI and agentic applications ⢠Strong software engineering background ⢠Deep backend expertise in Python and/or .NET ⢠Experience architecting enterprise applications across frontend, APIs, databases, and deployment ⢠Hands-on experience with PostgreSQL, Elasticsearch, and Neo4j or similar relational, search, and graph data stores ⢠Experience architecting and shipping multi-agent applications to production ⢠Experience with agent harness design, context engineering, orchestration, tool integration including MCP, and human-in-the-loop controls ⢠Experience selecting and applying frontier and open-weight models ⢠Experience with structured outputs, guardrails, and model validation ⢠Experience with fine-tuning or post-training is a plus ⢠Ability to design and manage enterprise knowledge architecture, ontology design, knowledge graphs, and retrieval ⢠Ability to build multi-layered evaluations and production monitoring ⢠Fluency with AI coding tools and practices ⢠Rigorous testing, code review, and CI/CD experience ⢠Strong knowledge of LLMOps, secure cloud deployment using AWS, Azure, or GCP, and observability ⢠Experience with clinical protocol development, study design, or clinical trial operations ⢠Familiarity with ICH M11 structured protocols, CDISC standards, or USDM is a strong plus ⢠Working knowledge of GxP, computer system validation, and emerging regulatory guidance on AI in drug development ⢠Proven ability to act as tech lead, own product direction and delivery, and mentor senior engineers ⢠Ability to partner with clinicians, medical writers, statisticians, and clinical operations ⢠Commitment to data privacy, security, and responsible AI ⢠Willingness to travel 10%
⢠Annual bonus plan eligibility for non-commercial roles ⢠Incentive compensation plan eligibility for commercial roles ⢠Discretionary equity awards ⢠Employee Stock Purchase Plan ⢠Medical insurance ⢠Dental insurance ⢠Vision insurance ⢠401(k) ⢠FSA/HSA ⢠Life Insurance ⢠Paid Time Off ⢠Wellness
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