Associate Director – Data and Modeling

🕒 il y a 28 jours

🇺🇸 États-Unis – Télétravail

💵 $150 000 - $190 000 / an

⏰ Temps Plein

🟠 Senior

👔 Directeur

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

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Axle Informatics

Site WebLinkedInTous les Emplois

501 - 1000 employés

🧬 Biotechnologie

🏥 Santé

🔬 Science

Biotechnology • Healthcare • Science

Axle Informatics est une entreprise spécialisée dans les biosciences et les technologies de l'information, offrant des avancées dans la recherche translationnelle, l'informatique de la santé et les applications de science des données aux centres de recherche et aux organisations de santé à travers le monde. Avec des experts en sciences biomédicales, ingénierie logicielle et gestion de programme, nous développons et appliquons des outils et techniques de recherche qui renforcent la prise de décision et accélèrent les découvertes en recherche. Nous collaborons avec certaines des principales organisations et infrastructures de recherche du pays, y compris de nombreux instituts des National Institutes of Health (NIH), en offrant la réactivité d'une petite entreprise couplée à l'expérience, l'ampleur et la profondeur d'une grande organisation.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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)