Data Science Fellow – AI, NLP

Axle Informatics

Postdoctoral researcher at Axle developing AI/NLP methods for biomedical literature mining and protocol knowledge extraction. Collaborating across biomedical research and software engineering domains.

Posted 6/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $100,000 per yearWebsite

ATS Keywords

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Hard Skills

PythonNLPinformation extractionmachine learningdata scienceRAGtransformersstructured predictionscientific text miningbenchmark datasets

Soft Skills

strong written communicationcollaborationinterdisciplinary teamworkanalytical skillsresearch experiencedesign skillsevaluation criteria definitionpublication strategyproblem-solvingadaptability

Tools & Technologies

annotation guidelinesevaluation pipelinescomputational experimentsresearch codebasesopen-source research artifactsbiological protocol knowledgeusable toolsreproducible pipelinesmanuscriptstechnical reports

Certifications & Qualifications

PhD in computer sciencePhD in computational biologyPhD in bioinformaticsPhD in biomedical informaticsPhD in NLPPhD in machine learningPhD in data science

Industry Keywords

biomedical literature miningprotocol knowledge extractionextraction errorsmodel behaviorretrieval failuresgrounding qualitybiological ambiguityscientific information extractioncomputable representationsmethods-oriented research

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and implement AI/NLP methods for biomedical literature mining and structured protocol knowledge extraction.
Develop benchmark datasets, annotation guidelines, and evaluation pipelines for scientific information extraction.
Build and evaluate RAG, in-context learning, fine-tuning, graph matching, entity normalization, and KG query workflows.
Analyze extraction errors, model behavior, retrieval failures, grounding quality, and biological ambiguity.
Collaborate with software engineers to integrate research methods into usable tools and reproducible pipelines.
Collaborate with organoid biologists and domain experts to translate biological protocol knowledge into computable representations.
Prepare manuscripts, conference abstracts, technical reports, design documents, and open-source research artifacts.
Help define research milestones, evaluation criteria, and publication strategy for protocol intelligence work.

Requirements

What you’ll need

PhD in computer science, computational biology, bioinformatics, biomedical informatics, NLP, machine learning, data science, or a related field.
Strong Python programming skills.
Demonstrated research experience with NLP, information extraction, LLMs, RAG, transformers, structured prediction, or scientific text mining.
Ability to design controlled computational experiments, create benchmark datasets, and analyze results rigorously.
Familiarity with biological, biomedical, or scientific data.
Strong written communication skills and interest in publishing methods-oriented research.
Comfort working with complex, evolving research codebases and interdisciplinary teams.

Benefits

Comp & perks

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)