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Ncats Jobs (NOW HIRING)

Axle

Associate Director of AI and Data

Rockville, MD · On-site

... NCATS). You will be the technical conscience and strategic driver for a diverse portfolio of projects, ranging from the optimization of our open-source Polus platform to the implementation of ...

University of Rochester

Neonatologist

Rochester, NY · On-site

$190 - $285/hr

Support for clinical and translational research is provided in part by the University's National Center for Advancing Translational Science (NCATS)-funded Clinical and Translational Sciences ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Other notable support includes a NIEHS-funded K12 program, NCATS funded KL2/Tl1 training programs, and a NIEHS P30 Center Grant all of which provide opportunities for pilot funding available to ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Other notable support includes a NIEHS-funded K12 program, NCATS funded KL2/Tl1 training programs, and a NIEHS P30 Center Grant all of which provide opportunities for pilot funding available to ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

$60K - $60K/yr

Direct experience working with NIH, NCATS, NIAID, or similar federal health agencies. Understanding of the specific data challenges within the federal health sector is highly valued. • Open Source ...

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How much do ncats jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ncats in the United States is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $60.58 per hour, depending on experience, location, and employer.

What is NCATS?

NCATS stands for the National Center for Advancing Translational Sciences, a center within the National Institutes of Health (NIH). NCATS focuses on transforming scientific discoveries into new treatments and cures for diseases more efficiently. Their work involves developing innovative tools, technologies, and methodologies to overcome barriers in the translational science process. By fostering collaboration and streamlining the path from research to real-world medical solutions, NCATS aims to improve health outcomes for a wide range of conditions.

What are some unique challenges faced by professionals working at NCATS?

Professionals at NCATS often encounter the challenge of bridging the gap between laboratory research and clinical application, which requires interdisciplinary collaboration and adaptability. The work environment is highly collaborative, involving frequent interaction with scientists, clinicians, and data specialists from various backgrounds. Navigating complex regulatory requirements and ensuring projects align with both scientific innovation and patient needs are also key aspects of the role. Team members must be comfortable with ambiguity and rapid changes in project direction, as translational science often requires pivoting based on new findings.

What are the key skills and qualifications needed to thrive as an NCATS researcher?

To thrive as an NCATS researcher, you need a strong background in biomedical sciences, translational research, and data analysis, typically supported by an advanced degree (Ph.D., M.D., or equivalent). Familiarity with laboratory techniques, clinical research tools, high-throughput screening platforms, and data management systems is essential. Critical thinking, collaboration, and strong communication skills help drive interdisciplinary projects and partnerships. These skills and qualities are crucial for advancing scientific discoveries from the lab to real-world clinical applications efficiently and effectively.

What is the difference between Ncats vs Medical Laboratory Technicians?

AspectNcatsMedical Laboratory Technicians
Required CredentialsTypically requires a bachelor's degree in a related field or specialized trainingAssociate's degree in medical laboratory technology or related field
Work EnvironmentResearch labs, healthcare facilities, government agenciesHospitals, clinics, diagnostic laboratories
Industry UsageUsed in research, public health, and government sectorsPrimarily in clinical diagnostic settings
Common Search & ComparisonOften compared for roles in healthcare and researchCompared for clinical laboratory work and certification requirements

While Ncats professionals often work in research or government settings with higher educational requirements, Medical Laboratory Technicians focus on clinical diagnostics in healthcare facilities. Both roles are vital in healthcare but differ in scope, environment, and credentials.

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Ncats jobs near you
Infographic showing various Ncats job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $109,490 per year, or $52.6 per hour.

Associate Director of AI and Data

Axle

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

(ID: 2026-1573)
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 visionary and operationally astute Associate Director of Artificial Intelligence, Modeling, and Data to lead our charge at the frontier of biomedical innovation. In this pivotal leadership role, you will architect the future of AI-driven discovery, bridging the gap between advanced computational science and life-saving clinical research.
Sitting at the nexus of our Data Science and Biomedical Research divisions, you will oversee the strategic development and deployment of high-performance AI/ML solutions that empower federal health agencies, including the National Institutes of Health (NIH) and the National Center for Advancing Translational Sciences (NCATS). You will be the technical conscience and strategic driver for a diverse portfolio of projects, ranging from the optimization of our open-source Polus platform to the implementation of Generative AI pipelines for drug discovery and high-dimensional data analysis.
This is not merely a management role; it is a mission-critical position for a leader who is passionate about the "public good" of science. You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and software architects to solve complex health challenges, such as pandemic preparedness and rare disease treatment. As an Associate Director, you will combine deep technical expertise with executive presence, serving as a trusted advisor to government stakeholders and a key architect of Axle's long-term growth in the federal health IT sector.
Core Responsibilities:
1. Strategic Leadership of the AI/ML Roadmap
  • Visionary Architecture: Architect and execute a comprehensive AI/ML strategy that aligns Axle's technical capabilities with the NIH Strategic Plan for Data Science (2025-2030). You will define the long-term vision for integrating Generative AI, Large Language Models (LLMs), and Agentic Workflows into federal research environments, moving beyond static analysis to active, AI-assisted discovery.
  • Platform Evolution (Polus): Spearhead the evolution of the Polus platform, transitioning it from a robust image analysis tool into a fully integrated, multi-modal research ecosystem. You will oversee the roadmap for new feature development, ensuring scalability, security, and interoperability across cloud environments (AWS/GCP/Azure) using containerized architectures (Docker/Kubernetes).
  • AI Governance & Compliance: Establish and enforce rigorous AI Governance frameworks. You will operationalize the NIST AI Risk Management Framework (RMF) across all projects to ensure fairness, interpretability, and compliance with federal ethical standards. You will lead "Gap Analysis" and "Risk Management" exercises to ensure all AI deployments are trustworthy and transparent.

2. Oversight of Complex Modeling & High-Dimensional Data Pipelines
  • Petabyte-Scale Engineering: Direct the design and implementation of high-throughput data pipelines capable of ingesting and analyzing petabyte-scale datasets (genomics, proteomics, EHR). You will ensure these systems adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable), facilitating seamless data sharing across NIH institutes and global research centers.
  • Translational Science De-risking: Oversee the development of predictive models for translational science, focusing on "de-risking" drug discovery and clinical trial design. This involves guiding technical teams in the application of deep learning techniques to identify molecular targets, predict therapeutic outcomes, and simulate clinical scenarios (Digital Twins).
  • Operational Excellence (MLOps): Optimize MLOps and DevSecOps processes to ensure the rapid, secure deployment of models from prototype to production. You will champion a culture of "automation first," reducing time-to-insight for researchers by streamlining the transition from Jupyter notebooks to containerized, cloud-native services.

3. Business Development & Federal Growth (Capture Support)
  • Lead Solution Architect: Partner with the Growth and Capture teams to drive new business acquisition. You will serve as the Lead Solution Architect for major proposal efforts ($50M+), authoring technical volumes, developing win themes, and creating compelling solution graphics that demonstrate Axle's technical differentiation.
  • Proposal Authorship: Personally write key sections of technical proposals, including the "Technical Approach," "Staffing Plan," and "Risk Mitigation" volumes. You will translate complex agency requirements into winning narratives that score highly with federal evaluators.
  • Client Liaison: Galvanize relationships with key federal stakeholders (Project Officers, CIOs, Lab Chiefs). You will act as the primary technical liaison, translating complex agency requirements into deliverable technical solutions and presenting these visions in competitive "Black Hat" sessions and oral presentations.

4. Mentorship of Data Scientists & Engineers
  • Interdisciplinary Team Building: Cultivate a high-performance, interdisciplinary team culture. You will manage and mentor a diverse group of data scientists, bioinformaticians, and software engineers, fostering an environment of psychological safety where "expert" scientific knowledge seamlessly integrates with "agile" engineering practices.
  • Continuous Learning: Drive continuous learning and upskilling initiatives. You will establish internal "Communities of Practice" for AI and Data Science, ensuring that Axle's workforce remains at the bleeding edge of technologies like Graph Neural Networks and Federated Learning.
  • Democratization of AI: Democratize access to AI tools within the client environment. You will lead efforts to create "low-code/no-code" interfaces and training programs that empower non-technical NIH researchers to utilize advanced analytics independently.

Required Qualifications: To effectively lead in this high-stakes environment, candidates must possess a rare combination of advanced academic training and battle-tested industry experience.
Education:
  • Ph.D. in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related quantitative discipline is highly preferred to ensure peer-level credibility with NIH scientists.
  • Alternatively, a Master's degree in one of the above fields with exceptional, demonstrated leadership experience in a federal or research-intensive setting will be considered.

Experience:
  • 8-10+ years of progressive experience in data science, AI/ML engineering, or computational biology, with a focus on high-dimensional data.
  • 3-5+ years of leadership experience managing cross-functional teams (e.g., managing both PhD researchers and software developers) in a matrixed organization.
  • Federal Contracting Experience: Demonstrated experience with Federal Business Development, including writing technical proposals and supporting capture activities for contracts valued at $15M+.
  • Regulatory Experience: Proven track record of delivering complex AI/ML solutions in a regulated environment, with specific familiarity with HIPAA, FedRAMP, or NIST AI RMF compliance.

Technical Skills: The Assistant Director must possess deep, hands-on technical fluency to command respect from engineering teams and validate architectural decisions.
  • Core AI/ML: Expert-level understanding of Deep Learning frameworks (PyTorch, TensorFlow), Classical Machine Learning (Scikit-Learn), and Generative AI architectures (Transformers, LLMs, RAG).

#IND
  • Languages: Proficiency in Python (primary) and R (secondary); familiarity with Java or C++ (for Polus backend optimization) is a strong plus.
  • Cloud Architecture: Extensive experience with Cloud-Native AI pipelines on AWS (SageMaker, HealthLake), GCP (Vertex AI, BigQuery), or Azure. Knowledge of the NIH STRIDES initiative and cloud economics is essential.
  • Data Engineering: Mastery of big data technologies (Spark, Databricks) and workflow orchestration tools (Airflow, Nextflow, Cromwell).
  • MLOps & DevOps: Strong knowledge of containerization (Docker, Kubernetes), CI/CD pipelines (GitHub Actions, Jenkins), and model monitoring/governance tools.
  • Visualization & Platforms: Experience with advanced visualization tools (DeepZoom, WebGL) and platform development (building APIs, microservices).

Preferred Skills: Candidates with the following specific experiences will be given immediate priority:
  • NIH Ecosystem Experience: Direct experience working with NIH, NCATS, NIAID, or similar federal health agencies. Understanding of the specific data challenges within the federal health sector is highly valued.
  • Open Source Leadership: Contributions to or leadership of open-source scientific software projects. Specific familiarity with the Polus platform or the National COVID Cohort Collaborative (N3C) data enclave is a distinct advantage.
  • NIST AI RMF Practitioner: Demonstrated experience implementing the NIST AI Risk Management Framework (Map, Measure, Manage, Govern) in a real-world setting.
  • Domain Expertise: Specialized knowledge in High-Content Imaging, Cheminformatics, Genomics, or Real-World Data (RWD) analytics.

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
$150,000-$190,000 USD

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