or apply directly on Axle's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Axle's roles stay open a median of 26 days
- Reposted
- No
- Salary listed
- No 0% of Axle's roles list one
- Ghost-job risk at Axle
- high 20 stale, 0 reposted of 53 open
- Hiring momentum
- 102 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Axle's own greenhouse board since 2026-08-03. Full hiring picture for Axle.
About this role
The Associate Director of Data and Modeling at Axle Informatics will lead teams focused on data engineering, AI/ML, scientific computing, and modeling to enhance the utility of complex research data. Responsibilities include setting technical direction, guiding the design of data systems, and building multidisciplinary teams to ensure reliable production capabilities. The role requires deep engagement with technical challenges and collaboration with various stakeholders to connect technical excellence with scientific outcomes.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Axle as an employer.
What you need
- 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.
Nice to have
- Advanced degree in computer science, bioinformatics, computational biology, data science, engineering, applied mathematics, physics, or another quantitative discipline.
- Prior experience as a software engineer, data engineer, machine learning engineer, computational scientist, or equivalent hands-on technical practitioner before moving into broader leadership.
- Experience leading organizations of approximately 20 or more engineers, scientists, and technical specialists, including managers or senior technical leads.
- Experience with biomedical or health data platforms and standards such as OMOP, FHIR, PCORnet, CDISC, or related clinical terminology systems.
- Experience with high-performance computing, large-scale scientific workflows, workflow orchestration, containerized research environments, or petabyte-scale scientific data.
What you get
- 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)
Worth weighing
- No specific mention of remote work policies beyond the role being remote.
- The role requires significant hands-on technical experience, which may limit candidates who have primarily worked in advisory roles.
- The position demands a high level of engagement with technical challenges, which may not suit those preferring a more managerial or less hands-on role.
Summarised from Axle's posting. Read the full original.
Listed by Axle on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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