Senior Manager managing Enterprise AI/BI Analytics Platform at Genmab. Responsible for driving the strategy and delivery of AI - enabled analytics capabilities across the organization.
About the role
- Engineer-scientist in Frontier AI developing AI-powered tools for scientific document authoring. Collaborate with teams to innovate and improve scientific communication and documentation.
Responsibilities
- Design and implement AI agents for scientific document authoring, including literature synthesis, citation management, and figure/table generation
- Build retrieval-augmented generation (RAG) systems over scientific corpora, ELNs, and internal knowledge bases to ground AI outputs in factual content
- Develop domain-specific fine-tuning and prompt engineering strategies for chemistry, biology, and pharmacology content
- Create tools for automated quality checking: scientific accuracy, consistency, formatting compliance, and plagiarism detection
- Build multi-agent workflows that coordinate literature search, data extraction, drafting, and revision cycles
- Build production-grade authoring applications with robust software engineering practices (version control, testing, CI/CD)
- Deploy scalable services on cloud-native infrastructure (Kubernetes, AWS) with appropriate guardrails for scientific content
- Partner with scientists, medical writers, and regulatory teams to integrate AI authoring tools into real workflows
- Represent Frontier AI in internal forums and external AI/NLP research communities
- Evaluate external vendors, open-source tools, and academic collaborations for scientific authoring capabilities
Requirements
- BS in Computer Science, Chemical sciences, Bioinformatics, or related discipline with demonstrated scientific domain exposure
- Experience applying NLP/LLM techniques to text generation, summarization, or information extraction (including industry post-doc)
- Hands-on experience with LLM application development (prompt engineering, RAG architectures, agent frameworks)
- Experience with ML/NLP frameworks (PyTorch, HuggingFace, LangChain, LlamaIndex)
- Qualified applicants must be authorized to work in the United States on a full-time basis.
- Experience with scientific document formats (LaTeX, XML/JATS, regulatory submission standards)
- Strong software engineering skills: production-quality Python, version control, testing, CI/CD (GitHub portfolio a plus)
- Familiarity with biomedical NLP (PubMed, chemical NER, ontologies like MeSH or ChEBI)
- Working knowledge of vector databases and semantic search (Pinecone, Weaviate, pgvector)
- Publications in relevant ML/NLP venues (ACL, KDD, NeurIPS)
Benefits
- eligibility to participate in a company-sponsored 401(k)
- pension
- vacation benefits
- eligibility for medical, dental, vision and prescription drug benefits
- flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
- life insurance and death benefits
- certain time off and leave of absence benefits
- well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Enablement Lead driving AI adoption and support across Collinson. Focus on developing AI literacy and embedding AI tools in workflows for effective business operations.
Chief AI Officer driving AI innovations in EveryMatrix, a leading B2B SaaS iGaming provider. Focused on operational excellence and market leadership through autonomous technologies.
AI 3D Dataset Engineer developing and maintaining end - to - end 3D data pipelines for a 3D generative AI company. Ensuring high - quality data flow through geometric analysis and quality assessment.
AI Tech Partner at Tiger Analytics leading AI and data transformations. Act as trusted advisor and drive innovation through scalable AI ecosystems in a hybrid work environment.
Senior Manager AI & Analytics at Ecolab, leading a team in developing revenue - generating AI products and analytics strategies. Collaborating with various departments to enhance operational efficiency and sustainability.
Director of Applied AI in the Homeland Sector driving end - to - end AI solutions. Leading hands - on AI strategy and production implementations across critical systems.
Technical Delivery Manager accountable for enterprise - scale Data & AI programme delivery. Leading transitions from technical win through production, adoption, and value realization.
AI Technical Specialist at Teck automating AI intake and analysis processes. Collaborating within Data Science team to ensure governance and performance of AI portfolio.
Working student/Intern at Aurixus GmbH focusing on AI, automation, and efficiency improvements. Engage in building automations, simplifying workflows, and reducing manual tasks in a hybrid/remote environment.