Principal Engineer - Scientific Authoring (Frontier AI)
Eli Lilly and Company
4 hours ago
Remote friendly (Boston, MA)
United States
Corporate Functions
Position Summary
As a Principal Engineer in Frontier AI, you will build intelligent systems that transform how scientists create, analyze, and manage scientific documents, developing AI-powered tools for manuscript preparation, regulatory submissions, patent applications, and technical documentation.
Responsibilities
- Design and implement AI agents for scientific document authoring (literature synthesis, citation management, figure/table generation)
- Build retrieval-augmented generation (RAG) systems over scientific corpora, ELNs, and internal knowledge bases
- 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, plagiarism detection)
- Build multi-agent workflows coordinating literature search, data extraction, drafting, and revision cycles
- Build production-grade authoring applications (version control, testing, CI/CD)
- Deploy scalable services on cloud-native infrastructure (Kubernetes, AWS) with 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
Basic Qualifications
- MS + 1 yrs / BS + 2 yrs in Computer Science, Chemical sciences, Bioinformatics, or related with demonstrated scientific domain exposure
- 1–2 years applying NLP/LLM techniques to text generation, summarization, or information extraction
- Hands-on LLM application development (prompt engineering, RAG architectures, agent frameworks)
- Strong software engineering skills: production-quality Python, version control, testing, CI/CD
- Deep experience with ML/NLP frameworks (PyTorch, HuggingFace, LangChain, LlamaIndex)
Preferred Qualifications
- Experience with scientific document formats (LaTeX, XML/JATS, regulatory submission standards)
- Biomedical NLP familiarity (PubMed, chemical NER, MeSH/ChEBI)
- Vector databases/semantic search (Pinecone, Weaviate, pgvector)
- Publications in ML/NLP venues (ACL, KDD, NeurIPS)
Benefits
- Company-sponsored 401(k), pension, vacation; medical, dental, vision, prescription; flexible benefits; life insurance/death benefits; time off/leave; well-being benefits (e.g., employee assistance, fitness benefits, employee clubs/activities)
Application/Eligibility Instructions
- Qualified applicants must be authorized to work in the United States on a full-time basis; Lilly does not sponsor work authorization or visas for this role.
As a Principal Engineer in Frontier AI, you will build intelligent systems that transform how scientists create, analyze, and manage scientific documents, developing AI-powered tools for manuscript preparation, regulatory submissions, patent applications, and technical documentation.
Responsibilities
- Design and implement AI agents for scientific document authoring (literature synthesis, citation management, figure/table generation)
- Build retrieval-augmented generation (RAG) systems over scientific corpora, ELNs, and internal knowledge bases
- 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, plagiarism detection)
- Build multi-agent workflows coordinating literature search, data extraction, drafting, and revision cycles
- Build production-grade authoring applications (version control, testing, CI/CD)
- Deploy scalable services on cloud-native infrastructure (Kubernetes, AWS) with 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
Basic Qualifications
- MS + 1 yrs / BS + 2 yrs in Computer Science, Chemical sciences, Bioinformatics, or related with demonstrated scientific domain exposure
- 1–2 years applying NLP/LLM techniques to text generation, summarization, or information extraction
- Hands-on LLM application development (prompt engineering, RAG architectures, agent frameworks)
- Strong software engineering skills: production-quality Python, version control, testing, CI/CD
- Deep experience with ML/NLP frameworks (PyTorch, HuggingFace, LangChain, LlamaIndex)
Preferred Qualifications
- Experience with scientific document formats (LaTeX, XML/JATS, regulatory submission standards)
- Biomedical NLP familiarity (PubMed, chemical NER, MeSH/ChEBI)
- Vector databases/semantic search (Pinecone, Weaviate, pgvector)
- Publications in ML/NLP venues (ACL, KDD, NeurIPS)
Benefits
- Company-sponsored 401(k), pension, vacation; medical, dental, vision, prescription; flexible benefits; life insurance/death benefits; time off/leave; well-being benefits (e.g., employee assistance, fitness benefits, employee clubs/activities)
Application/Eligibility Instructions
- Qualified applicants must be authorized to work in the United States on a full-time basis; Lilly does not sponsor work authorization or visas for this role.