NLP & Scientific Reasoning Post-Doc

<div style="font-size:10pt;font-family:'Tahoma'"> <p>(ID: 2026-1886)</p><br> <p><strong>Axle Informatics</strong> 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 around the globe. 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 premier research organizations and facilities including multiple institutes at the National Institutes of Health (NIH) and other public and private organizations.  </p> <div style="font-size: 10pt; font-family: 'Tahoma'"> <p><strong>Benefits We Offer:</strong></p> <ul> <li>100% Medical, Dental &amp; Vision Coverage for Employees</li> <li>Educational Benefits for Career Growth</li> <li>Paid Time Off (Including Holidays)</li> <li>Employee Referral Bonus</li> <li>401K Matching</li> <li>Flexible Spending Accounts: <ul> <li>Healthcare (FSA)</li> <li>Parking Reimbursement Account (PRK)</li> <li>Dependent Care Assistant Program (DCAP)</li> <li>Transportation Reimbursement Account (TRN)</li> </ul> </li> </ul> </div> <div class="ck-content" data-wrapper="true" style=" font-family: Segoe UI; font-size: 11pt;"><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;"><strong>Position Overview&nbsp;</strong></span></p><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;">NGRF is seeking a researcher to join the LLM Lab and contribute to NGRF’s scientific discovery platform. This role combines original research in scientific integrity with hands-on development of NLP and AI capabilities on a large-scale biomedical data platform.&nbsp;</span></p><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;">The researcher will work with a multi-terabyte curated literature database, develop and evaluate NLP models, build retrieval-augmented generation (RAG) pipelines, and contribute to a federated knowledge graph that models scientific claims and evidence relationships. The role spans research and engineering — publishing peer-reviewed findings while building the models and pipelines that power NGRF’s platform.&nbsp;</span></p><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;"><b>Key Responsibilities</b>&nbsp;</span></p><ul style=" padding-left: 48px;"><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e79886976d23939a8bac65d841e60a409"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;"><b>Scientific integrity research</b>: Design and execute large-scale computational analyses of scientific publishing practices across the biomedical literature. Publish findings in peer-reviewed venues (e.g., Scientometrics, JASIST, Quantitative Science Studies).&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ec293d8c5726d113d730b6ef1bab03287"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;"><b>NLP model development:</b> Develop and validate models for semantic analysis of scientific text — including claim extraction, relevance scoring, and relationship detection. Build on existing RAG infrastructure and vector search capabilities.&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e776ff76dc176dacbc88f87332b2f60a6"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;"><b>Big data and pipeline engineering:</b> Work with a multi-terabyte literature database and external APIs (PubMed, CrossRef, OpenAlex) to build scalable data processing and analysis pipelines. Integrate structured and unstructured data sources into reproducible workflows.&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e53923e77387ab7009721bab1a3480e65"><p style="line-height: 115%; margin: 0in 0in 8pt 0;"><span style="font-family:Tahoma;font-size:10pt;"><b>Collaboration and outreach:</b> Work with external partners in the research integrity community. Present findings at conferences and contribute to NGRF’s visibility in the scientific integrity space.&nbsp;</span></p></li></ul><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;"><b>Required Qualifications</b>&nbsp;</span></p><ul style=" padding-left: 48px;"><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e876bdc99511212170d95cf520c961ce3"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">PhD in natural language processing, computational linguistics, computer science, information science, or a related field&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ec878e31658df99dd5f7854dbdb21d036"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Publication record in NLP, text mining, or computational approaches to scientific literature&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e00572f74f8c35b7b0d932e7fa4503542"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Strong programming skills in Python with experience in modern ML/NLP frameworks (e.g., PyTorch, Hugging Face Transformers)&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ef7f21fe173e79c77181d28862d25f493"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Experience working with large text corpora and large-scale datasets&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e93ae4eeb2e6eb4a890c2f0162e625878"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Familiarity with vector databases, embeddings, semantic search, and retrieval-augmented generation (RAG)&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e1b263c8e59d6f00f1ccec7e441ebc4bf"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Experience with knowledge graphs, ontology design, or graph databases</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e6c0b661b780df6be2d0a3dccec7be40c"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Demonstrated ability to design and execute independent research projects&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e9b2828a48525dc8cd094b7f1a4c3effb"><p style="line-height: 115%; margin: 0in 0in 8pt 0;"><span style="font-family:Tahoma;font-size:10pt;">Strong written and oral communication skills&nbsp;</span></p></li></ul><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;"><b>Preferred Qualifications</b>&nbsp;</span></p><ul style=" padding-left: 48px;"><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e7d6b49f0d7be6be565ba4698ceef21f7"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Background in scientometrics, bibliometrics, or research integrity&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e6efc196c88a5e836368688be4ff485e9"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Experience with scientific publishing APIs and metadata (DOIs, PubMed, CrossRef, OpenAlex)&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e5bce8b9036311dfd124427398e1e7257"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Familiarity with claim extraction, relation extraction, or scientific argument mining</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e69fe7d39039118e37f5d0b42a624aca0"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Proficiency with Git, GitHub, and collaborative software development workflows</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ede91f812e95f2a6a127d7947303f933f"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Experience with Linux/Unix environments and command-line tools&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ec4285e357078fd06143daa5ceb2cbeb7"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Familiarity with containerization (Docker) and CI/CD pipelines&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e63a21b1312f75f1ff821ab387bbe7522"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot)</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e661b1994e22885d4b27f1ae433cafdbf"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Experience deploying NLP models in production or near-production settings</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="e9c4fd8a9a9793699a0d275a51e502744"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Familiarity with Kubernetes, infrastructure-as-code, or cloud platforms (AWS)</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ed4e01312fdd946445083d3f4d4a80365"><p style="line-height: 115%; margin: 0in 0in 0in 0;"><span style="font-family:Tahoma;font-size:10pt;">Experience with SQL databases (PostgreSQL) and data modeling&nbsp;</span></p></li><li class="ck-list-marker-font-size ck-list-marker-font-family" data-list-item-id="ec998b0abf23496e8d683d67f9d2f63ec"><p style="line-height: 115%; margin: 0in 0in 8pt 0;"><span style="font-family:Tahoma;font-size:10pt;">Track record of interdisciplinary collaboration</span></p></li></ul><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;"><b>Compensation</b>&nbsp;</span></p><p style="line-height: 115%; margin: 0in 0in 8pt;"><span style="font-family:Tahoma;font-size:10pt;">The prospective salary range for this position is $80,000–$92,000 annually.</span></p></div> <br> <div style="font-size:10pt;font-family:'Tahoma';text-align: center;"> <p>The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment-based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.</p> <p>Accessibility: If you need an accommodation as part of the employment process, please contact <a href="mailto:careers@axleinfo.com" target="_blank">careers@axleinfo.com</a> </p> <p><strong>Disclaimer:</strong> The above is meant to illustrate the general nature of work and level of effort being performed by individual’s assigned to this position or job. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job or responsibilities as needed.</p> <p>This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.</p> </div></div><div class="content-pay-transparency"><div class="pay-input"><div class="title">Salary Range</div><div class="pay-range"><span>$80,000</span><span class="divider">&mdash;</span><span>$92,000 USD</span></div></div></div><div class="content-conclusion"><p style="text-align: center;"><strong>Disclaimer:</strong><span class="Apple-converted-space">&nbsp;</span>The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.</p> <p style="text-align: center;">The diversity of NovaGen's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.</p> <p style="text-align: center;">Accessibility: If you need an accommodation as part of the employment process please contact:<span class="Apple-converted-space">&nbsp;</span><a href="mailto:info@novagenresearch.com?" target="">info@novagenresearch.org</a></p> <p style="text-align: center;">This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.</p></div>