AI Analyst contributing to cross - functional product teams at Personio, leveraging data insights and analytics for decision - making. Responsible for event tracking, impact measurement, and user behavior analysis.
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
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