Associate Director – Data and Modeling

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $150.000 - $190.000 / Jahr

⏰ Vollzeit

🟠 Senior

👔 Direktor

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 10%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Axle Informatics

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

🧬 Biotechnologie

🏥 Gesundheitswesen

🔬 Wissenschaft

Biotechnology • Healthcare • Science

Axle Informatics ist ein Unternehmen für Biowissenschaften und Informationstechnologie, das Fortschritte in der translationalen Forschung, Gesundheitsinformatik und Datenanwendungswissenschaft für Forschungszentren und Gesundheitseinrichtungen weltweit bietet. Mit Experten in der biomedizinischen Wissenschaft, Softwareentwicklung und Programmmanagement entwickeln und nutzen wir Forschungstools und Techniken, die Entscheidungsfindungen stärken und Forschungsergebnisse beschleunigen. Wir arbeiten mit einigen der führenden Forschungseinrichtungen und -einrichtungen im Land zusammen, darunter mehrere Institute der National Institutes of Health (NIH), indem wir die Reaktionsfähigkeit eines kleinen Unternehmens mit der Erfahrung, Breite und Tiefe einer großen Organisation kombinieren.

Beschreibung

• Set technical direction for data platforms, AI/ML systems, scientific computing environments, and modeling capabilities • Establish reference architectures and reusable implementation patterns; decide when to build, modernize, adopt, or partner • Guide design and operation of systems ingesting, transforming, harmonizing, and serving large scientific and health datasets • Establish data quality, validation, terminology translation, lineage, versioning, documentation, and change-control practices • Lead AI/ML capabilities including predictive modeling, computer vision, natural language processing, large language models, retrieval-augmented generation, and agentic workflows • Establish standards for reproducible modeling, simulation, scientific workflows, versioned inputs and environments, compute strategy, and scientific validation • Move prototypes into reliable production systems by strengthening testing, CI/CD, containerization, observability, release management, incident response, documentation, and technical-debt practices • Build and lead multidisciplinary software, data, machine learning, data science, and computational science teams • Develop managers and technical leads and establish clear roles, leadership paths, and performance expectations • Create an operating cadence with priorities, risk checkpoints, release criteria, ownership, and progress measures • Partner with security, privacy, governance, scientists, engineers, program leaders, and federal health partners on responsible use of sensitive data and AI • Encourage publications, conference participation, open-source contributions, and research software community engagement, including stewardship of Polus • Contribute as a senior technical leader to federal growth, proposal, capture, solution architecture, staffing, and implementation efforts

🎯 Anforderungen

• Eight or more years of progressively responsible experience in software engineering, data engineering, machine learning engineering, computational science, data science, or a closely related technical discipline • Five or more years of leadership experience building and guiding multidisciplinary technical teams, including responsibility for hiring, technical direction, delivery, and staff development • Demonstrated experience personally designing, building, deploying, and operating production-grade data, AI/ML, software, or scientific computing systems • Strong technical judgment across modern data and AI architectures, distributed processing, containerized environments, CI/CD, MLOps or LLMOps, observability, and production operations • Demonstrated success moving analytical or AI/ML work from research and prototyping into reliable production use, including evaluation, deployment, monitoring, versioning, and ongoing operational ownership • Experience building or leading large and complex data pipelines with attention to interoperability, data quality, lineage, reproducibility, and repeatable transformation • Experience leading modeling, simulation, scientific computing, or computational research work directly or in close partnership with scientific subject matter experts • Ability to review technical designs, identify risk, challenge assumptions, resolve difficult engineering problems, and distinguish promising emerging methods from approaches that are not yet ready for production use • Experience delivering technical systems in research-intensive, regulated, or high-governance environments involving sensitive data, security controls, privacy requirements, or formal technical oversight • Strong communication skills and ability to explain technical matters to scientists, program leaders, executives, and government stakeholders • Advanced degree in a quantitative discipline is preferred • Preferred experience includes hands-on technical practice, leading organizations of approximately 20 or more technical specialists, biomedical data platforms and standards such as OMOP, FHIR, PCORnet, and CDISC, high-performance computing, Generative AI, biomedical datasets, technical publications or open-source contributions, NIH or federal health organizations, and federal proposal or strategic partnership leadership

🏖️ Vorteile

• 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)

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