Axle
bioscience
DataScienceFellow-AI/NLP
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Science Fellow - AI/NLP at Axle. Skills: AI/NLP, Knowledge engineering, Large language models, Biomedical NLP. Develop AI/NLP methods. Develop knowledge engineering methods”
Industry & Context.
Analyze extraction errors; Analyze model behavior; Analyze retrieval failures; Analyze grounding quality; Analyze biological ambiguity
What They're Looking For.
Must Have
PhD in computer science, PhD in computational biology, PhD in bioinformatics, PhD in biomedical informatics, PhD in NLP, PhD in machine learning, PhD in data science, Python programming skills, Demonstrated research experience with NLP, Demonstrated research experience with information extraction, Demonstrated research experience with LLMs, Demonstrated research experience with RAG, Demonstrated research experience with transformers, Demonstrated research experience with structured prediction, Demonstrated research experience with scientific text mining, Ability to design computational experiments, Ability to create benchmark datasets, Ability to analyze results rigorously, Familiarity with biological data, Familiarity with biomedical data, Familiarity with scientific data, Written communication skills, Interest in publishing research, Comfort working with research codebases, Comfort working with interdisciplinary teams
Nice to Have
Experience with scientific document processing, Experience with PDF parsing, Experience with biomedical literature mining, Experience with methods-section extraction, Experience with knowledge graphs, Experience with ontologies, Experience with graph databases, Experience with graph algorithms, Experience with semantic data modeling, Fine-tuning LLMs experience, LoRA experience, QLoRA experience, Hugging Face experience, PyTorch experience, API-based model evaluation experience, Prompt engineering experience, Structured JSON extraction experience, Schema validation experience, Tool use experience, Agentic LLM workflows experience, RAG systems experience, Vector search experience, Graph-augmented retrieval experience, Natural-language query over structured data experience, Exposure to bioinformatics concepts, Background in stem cell biology, Background in organoids, Background in developmental biology, Background in wet-lab protocols, Background in biological assays
What You'll Do.
Develop AI/NLP methods
Develop knowledge engineering methods
Transform literature into knowledge
Extract structured protocol knowledge
Develop benchmark datasets
Develop annotation guidelines
Develop evaluation pipelines
Build in-context learning workflows
Build fine-tuning workflows
Build graph matching workflows
Build entity normalization workflows
Build KG query workflows
Analyze extraction errors
Analyze model behavior
Analyze retrieval failures
Analyze grounding quality
Analyze biological ambiguity
Integrate research methods into tools
Integrate research methods into pipelines
Translate biological knowledge into representations
Prepare conference abstracts
Prepare technical reports
Prepare design documents
Prepare open-source artifacts
Define research milestones
Define evaluation criteria
Define publication strategy
How You'll Work.
Team & Collaboration
Interdisciplinary teams; Software engineers; Organoid biologists; Domain experts
Communication Scope
Written communication; Publishing methods-oriented research
Full Job Description
(ID: 2026-2316) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) We are seeking a postdoctoral researcher to develop AI/NLP and knowledge engineering methods that transform biomedical literature, experimental protocols, and source evidence into structured, quarriable, and evidence-grounded knowledge for organoid protocol standardization and optimization. The postdoc will work at the intersection of large language models, biomedical NLP, scientific document understanding, knowledge graphs, ontology grounding, computational biology, and human-in-the-loop curation. Potential projects include LLM-based protocol extraction, retrieval-augmented literature mining, curated knowledge graph construction, ontology and entity normalization, protocol comparison, consensus protocol derivation, benchmark design, and natural-language interfaces over structured biological knowledge. Responsibilities Design and implement AI/NLP methods for biomedical literature mining and structured protocol knowledge extraction. Develop benchmark datasets, annotation guidelines, and evaluation pipelines for scien
Applying for this Data Science Fellow - AI/NLP role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Axle?
Real rants from real employees. Read before you apply.