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Healthcare EHR Interoperability Specialist

(ID: 2026-1995)

 

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)

 

Position Overview

Axle is seeking a skilled Healthcare EHR Interoperability Specialist to join our Real-World Evidence team. In this role, you will be responsible for designing, implementing, and validating data mappings between diverse Electronic Health Record (EHR) clinical data models. You will leverage our proprietary Domain-Specific Language (DSL) to express and automate mappings, ensuring semantic accuracy and data quality across source and target systems.

This is a highly technical position at the intersection of clinical informatics, software engineering, and data quality. It’s well suited for someone who is equally comfortable interpreting clinical data specifications and developing robust QA test suites.

 

Key Responsibilities

Clinical Data Mapping

  • Analyze and interpret source and target EHR clinical data models (e.g. FHIR, OMOP, PCORNet) to understand structural and semantic differences.
  • Design and implement accurate, well-documented mappings between CDMs using our internal DSL.
  • Apply knowledge of clinical terminologies (SNOMED CT, LOINC, ICD-10, RxNorm, etc.) to resolve semantic gaps during mapping.
  • Work with FHIR (R4/R5), HL7 v2/v3, and OMOP CDM as source or target data models.
  • Align mappings with US Core Data for Interoperability (USCDI) requirements and ONC guidelines.

DSL Development & Usage

  • Learn and become proficient in our proprietary mapping DSL within the onboarding period.

  • Author, review, and maintain DSL-based mapping scripts with a focus on readability and reusability.

  • Collaborate with the DSL platform team to report issues, suggest improvements, and contribute to language documentation.

  • Develop reusable mapping components and patterns to promote consistency across projects.

Quality Assurance & Testing

  • Write and execute unit and integration tests for all mapping logic to ensure correctness and completeness.

  • Develop test datasets and validation frameworks for end-to-end mapping pipelines.

  • Perform data profiling and discrepancy analysis to identify anomalies in source data.

  • Maintain mapping traceability documentation and participate in peer reviews.

  • Investigate and resolve data quality issues escalated from downstream consumers.

Collaboration & Documentation

  • Partner with clinical SMEs, EHR vendors, and implementation teams to clarify ambiguous data definitions.

  • Produce clear mapping specifications, data dictionaries, and transformation logic documentation.

  • Participate in sprint planning, stand-ups, and retrospectives as part of an agile delivery team.

  • Support data governance activities including metadata management and lineage tracking.

 

Required Qualifications

Education

  • Bachelor’s degree or higher in Health Informatics, Biomedical Informatics, Computer Science, Information Systems, or a related field.

  • Advanced degree (MS/PhD) or relevant certifications (RHIA, CHDA, CPHIMS) are a plus.

Clinical Data Model Expertise

  • Deep, hands-on experience with FHIR resource modeling, profiling, and implementation guides (US Core, etc.). FHIR (HL7 R4/R5):

  • Practical experience transforming EHR data into OMOP for research or analytics use cases.

  • Familiarity with the PCORnet Common Data Model for clinical research networks.[KH1] [KH2] 

  • Working knowledge of US Core Data for Interoperability (USCDI), ONC regulations, and CMS interoperability rules. US CDEs:

  • Familiarity with additional CDMs such as i2b2, Sentinel, or proprietary EHR schemas is advantageous.

Clinical Terminology Knowledge

  • Proficiency with SNOMED CT, LOINC, ICD-10-CM/PCS, RxNorm, and NPI in the context of data mapping.

  • Experience using terminology servers (e.g., NLM VSAC, Ontoserver, HAPI FHIR Terminology) to resolve concept mappings.

  • Understanding of value set authoring and maintenance practices.

Technical & Programming Skills

  • Proficiency in at least one scripting/programming language: Python, Java, or JavaScript/TypeScript.

  • Strong SQL skills for data extraction, profiling, and transformation across relational databases.

  • Familiarity with version control (Git) and collaborative development workflows (pull requests, code review).

  • Ability to quickly learn and become productive in a custom DSL — prior experience with any DSL, query language (e.g., FHIRPath, OCL, XQuery), or configuration language is strongly preferred.

QA & Testing Skills

  • Experience writing automated test cases for data transformation logic (unit, integration, and regression tests).

  • Proficiency with testing frameworks relevant to your primary language (e.g., pytest, JUnit, Jest).

  • Data validation skills: record counts, field-level completeness checks, referential integrity, and semantic equivalence testing.

  • Familiarity with CI/CD pipelines and automated testing workflows.

Soft Skills & Work Style

  • Detail-oriented with a strong commitment to data accuracy and clinical fidelity.

  • Able to manage ambiguity — comfortable making informed mapping decisions when source documentation is incomplete.

  • Strong written and verbal communication skills; able to explain technical mapping decisions to clinical stakeholders.

  • Self-directed learner with the ability to ramp up quickly on new systems and standards.

 

Preferred Qualifications

  • Prior experience working at a healthcare system, HIE, health IT vendor, or CRO.

  • Hands-on experience with one of the major EHR platforms: Epic Clarity/Caboodle, Cerner Millennium, Allscripts, or athenahealth.

  • Experience contributing to open-source health data projects (e.g., HAPI FHIR, Inferno, OHDSIverse).

  • Knowledge of HIPAA, 21st Century Cures Act, and related data privacy and compliance requirements.

 

Disclaimer: 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.

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 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.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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.

#IND

Salary Range
$155,000—$185,000 USD

Junior Software Engineer – Scientific Computing (C++)

(ID: 2026-1584)

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)

 

Axle is seeking a Junior Software Engineer with a solid foundation in C++ and a genuine enthusiasm for LLM-based development workflows. This role sits at the intersection of traditional high-performance software engineering and the rapidly evolving landscape of AI-assisted coding tools and large language model (LLM) integration.

You will work as part of a collaborative, cross-functional team building scalable software systems for compute-intensive research environments. A key part of your day-to-day will involve leveraging LLM-based tools — such as AI coding assistants, prompt-driven code generation, and LLM-integrated pipelines — to accelerate development and explore novel solutions to engineering challenges.

While C++ experience is important for understanding the performance-critical systems you will work on, we place equal emphasis on your ability to work fluidly with LLM tools and your curiosity about how AI-assisted development can reshape software engineering practice. You will learn domain-specific aspects of the work on the job with support from senior engineers.

Key Responsibilities

  • Develop and maintain C++ software components for scientific and computational workloads, with a focus on correctness and maintainability.
  • Integrate and leverage LLM-based tools (e.g., GitHub Copilot, Claude, GPT-4, or similar) throughout the development lifecycle — from code generation and review to documentation and debugging.
  • Build and experiment with LLM-assisted pipelines for automating repetitive engineering tasks, code scaffolding, and developer productivity tooling.
  • Collaborate with senior engineers and researchers to prototype and evaluate LLM-integrated solutions to complex software problems.
  • Contribute to testing, CI/CD workflows, and code documentation — using AI tools to maintain quality and delivery speed.
  • Stay current with the fast-moving LLM tooling ecosystem and proactively share learnings with the team.

Note: Some projects involve image-based data and scientific computing workflows. Prior expertise in these areas is not required; you will develop this knowledge with support from the team.

Required Skills & Qualifications

  • 1–3 years of professional experience (or equivalent academic/research experience) in software development.
  • Working knowledge of C++, including comfort reading, debugging, and contributing to C++ codebases.
  • Demonstrated experience using LLM-based development tools (e.g., Copilot, Cursor, Claude, ChatGPT, or similar) as part of a regular development workflow.
  • Familiarity with prompt engineering concepts and an understanding of how to effectively direct LLMs for code generation, review, or explanation tasks.
  • Working knowledge of Linux development environments.
  • Basic experience with Python for scripting, tooling, or working with LLM APIs (e.g., OpenAI, Anthropic).
  • Strong problem-solving skills and eagerness to learn within a fast-evolving technical landscape.

Preferred Qualifications

  • Experience building or integrating LLM-powered features into applications or developer tooling (e.g., RAG pipelines, tool-calling agents, code-aware assistants).
  • Familiarity with LLM APIs (OpenAI, Anthropic, Hugging Face) or open-source models (LLaMA, Mistral, etc.).
  • Understanding of modern C++ (17/20) idioms and experience with performance-oriented development.
  • Exposure to scientific computing, numerical methods, or high-performance computing concepts.
  • Experience with parallel computing concepts (multithreading, vectorization, OpenMP).
  • Familiarity with modern build systems (CMake, Bazel) and container technologies (Docker).
  • Interest in evaluating and benchmarking LLM output quality for engineering tasks.

What We Emphasize

  • Curiosity about LLM-assisted development and a desire to push the frontier of AI-augmented engineering.
  • Solid C++ fundamentals — enough to contribute meaningfully to performance-sensitive systems.
  • Learning and growth over prior domain specialization — we care more about how you learn than what you already know.
  • Mentorship and close collaboration with experienced engineers.
  • Clear ownership of well-scoped technical components from day one.

 

 

Disclaimer: 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.

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 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.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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.

#IND

Salary Range
$80,000—$120,000 USD

AI Engineer II

(ID: 2026-1850)

 

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)

 

Role Summary 

Axle is seeking an AI Engineer II with experience designing and delivering production AI systems to lead the development of intelligent applications that support translational research and scientific operations. This role involves architecting retrieval-augmented generation (RAG) systems, agentic pipelines, document understanding workflows, and the shared platform services that make these systems reliable and reusable. 

 

A significant portion of this role involves working directly with clients — scientists, program managers, and operational staff — who understand the problem domain but may not have a technical background. You will partner with them to elicit requirements, translate domain needs into well-defined technical solutions, and ensure delivered software meets their real-world needs. The role requires a self-directed engineer who can make sound architectural decisions, take ownership of technical components end-to-end, mentor junior team members, and deliver iteratively while managing client relationships and expectations. 

 

Key Responsibilities 

  • Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems.
  • Design and optimize retrieval pipelines: embedding generation, vector search, hybrid search, and reranking against large domain-specific corpora.
  • Build document ingestion and parsing pipelines that extract structured content (text, tables, figures, citations) from scientific and technical documents for downstream use by AI systems.
  • Integrate structured knowledge — ontologies, controlled vocabularies, and knowledge graphs — with unstructured text to produce evidence-grounded, provenance-aware AI outputs.
  • Develop and operate shared platform services that accelerate delivery of new AI applications: model gateways, agent-tool integrations, authentication, API key management, and observability.
  • Lead technical design decisions and establish best practices for code quality, testing, evaluation, and deployment of AI systems.
  • Provision, deploy, monitor, and troubleshoot services on Kubernetes and cloud infrastructure, including container builds, manifests, and CI/CD pipelines.
  • Design and maintain relational and vector databases, including schema design, indexing, migrations, and incremental data updates.
  • Define and track quality metrics for AI systems (retrieval quality, answer faithfulness, latency, cost) and drive measurable improvements over time.
  • Engage directly with non-technical clients to gather requirements, clarify goals, manage expectations, and validate that delivered solutions align with their objectives.
  • Translate high-level client and mission needs into actionable technical specifications and development plans.
  • Mentor junior engineers and contribute to a culture of technical excellence.
  • Participate in and help facilitate standups, sprint planning, and cross-team review meetings across multiple project streams. 

 

Required Skills & Qualifications 

  • 5+ years of professional experience in software development, with recent hands-on work building AI or ML-powered applications. 
  • Strong proficiency in Python for application development, scripting, and tooling. 
  • Demonstrated experience building retrieval-augmented generation (RAG) systems, including embeddings, vector search, and reranking. 
  • Experience integrating large language models (LLMs) into production applications using modern agent or orchestration frameworks. 
  • Experience with vector databases and semantic search. 
  • Demonstrated experience making architectural decisions and owning technical direction for software projects. 
  • Experience with Docker, containerization workflows, and Kubernetes for deploying and operating production services. 
  • Experience with PostgreSQL and relational database design. 
  • Strong command of Linux development environments. 
  • Experience with Git/GitHub workflows, including branching, pull requests, and code review practices. 
  • Proven ability to work independently, prioritize across concurrent workstreams, and drive projects to completion with minimal oversight. 

 

Preferred Qualifications 

  • Experience with document parsing, OCR, and layout-aware extraction for scientific or technical documents. 
  • Familiarity with knowledge graphs, ontologies, and controlled vocabularies, including RDF, SPARQL, or graph query languages. 
  • Experience with agent-tool integration frameworks, including the Model Context Protocol (MCP). 
  • Experience with LLM observability, tracing, and evaluation tooling. 
  • Experience with GPU computing (CUDA/NVIDIA) for embedding or inference workloads. 
  • Experience with AWS (IAM, S3, deployment, general infrastructure management). 
  • Familiarity with OIDC/OAuth authentication and API key management in production systems. 
  • Background in biomedical informatics, translational research, or health sciences. 
  • Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot). 
  • Familiarity with Jira or similar project management tools. 

 

Interpersonal Skills 

  • Strong written and verbal communication skills, including the ability to convey technical concepts to non-technical collaborators and translate domain expertise into software requirements. 
  • Skilled at requirements elicitation — able to ask the right questions, listen actively, and bridge the gap between what subject matter experts need and what engineering can deliver. 
  • Ability to work effectively across multiple teams and project streams with different leads, priorities, and cadences. 
  • Comfortable operating in a large, cross-functional team environment where coordination and alignment are essential. 
  • Proactive in communicating progress, raising blockers, and seeking input from teammates and stakeholders. 
  • Tactful and professional when engaging with clients and external partners; able to navigate sensitive situations and escalate appropriately. 
  • Receptive to feedback and committed to iterative improvement. 

 

Disclaimer: 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.

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 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.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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.

#IND

 

Salary Range
$120,000—$150,000 USD

Data Scientist II

(ID: 2025-1038)

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)

 

Overview

We are seeking a highly skilled and motivated Data Scientist II to support the development of scalable state-of-the-art systems that use artificial intelligence (AI) to empower scientists and physicians. This role will focus on using AI across multiple modalities (images, text, etc.) to accelerate the pace of scientific research. The successful candidate will collaborate with a multidisciplinary team of scientists, software engineers, and biologists to drive advancements in translational sciences. The ability to think critically and work independently as a part of a team is a must. A strong preference will be given to adata scientists with a background in the development of data pipelines, fundamental knowledge of large language model architectures, agents, and computer vision models. A background in biology and/or medicine is preferred. 

 

 

Responsibilities  

  • Develop, implement, and optimize LLMs and computer vision algorithms for processing and analyzing biomedical text and image data.
  • Design and develop software tools and pipelines for automated image analysis, data integration, and visualization, leveraging machine learning and deep learning techniques.
  • Collaborate with biologists and other researchers to understand their needs and translate them into technical solutions, incorporating state-of-the-art AI methodologies.
  • Perform data mining, statistical analysis, and machine learning on large-scale biomedical imaging datasets to extract meaningful insights and improve predictive accuracy.
  • Validate and benchmark AI-driven imaging algorithms and tools to ensure their accuracy, robustness, and scalability.
  • Document software development processes, create user manuals, and provide training and support to end-users, particularly focusing on AI applications.
  • Stay up-to-date with the latest advancements in AI, computer vision, biomedical imaging, computational biology, and data science, and apply this knowledge to improve existing tools and methodologies.
  • Participate in interdisciplinary team meetings, present findings, and contribute to scientific publications and grant proposals, emphasizing AI and computer vision innovations.
  • Identify and implement new AI technologies and frameworks to enhance the capabilities of biomedical imaging tools and methodologies.
  • Knowledge of code packaging, containerization technologies, and continuous integration pipelines.
  • DevOps experience with Kubernetes and workflow automation is a plus.

 

Qualifications 

  • Ph.D. or Master’s degree in Data Science, Computer Science, Biomedical Engineering, Bioinformatics, or a related field.
  • Proven experience in biomedical imaging analysis, AI, and computer vision, preferably in HTS and HCS contexts.
  • Strong programming skills in languages such as Python. C++ and Rust is a plus.
  • Well versed with AI and machine learning frameworks and libraries such as TensorFlow, PyTorch, PydanticAI, and LLM observability.
  • Experience with image analysis software and libraries such as ImageJ, CellProfiler, OpenCV, or similar.
  • Knowledge of statistical analysis and data visualization techniques.
  • Familiarity with high-performance computing and cloud-based data processing environments.
  • Excellent problem-solving skills and the ability to work both independently and as part of a team.
  • Strong communication skills and the ability to convey complex technical concepts to non-technical audiences.
  • Experience in developing AI-driven software tools for biomedical research.
  • Experience with version control systems such as Git.
  • Experience with workflow automation tools.
  • Previous experience working in a collaborative, interdisciplinary research environment. 

 

Disclaimer: 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.

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 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.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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.

 

Salary Range
$115,000—$130,000 USD