
2 - 10 employees
Founded 2016
🤖 Artificial Intelligence
💼 Consulting
🏛️ Government
Artificial Intelligence • Consulting • Government
Mind Moves LLC is a Washington DC–based, certified Woman-Owned Small Business (WOSB) that provides human-centered, purpose-driven AI transformation and change-management services. The company positions itself at the intersection of human ingenuity and machine intelligence, offering end-to-end services (strategy through sustainment), advisory engagements, workshops, and contract support for public-sector clients. Core services listed include AI business strategy, AI maturity assessments, product roadmaps, responsible AI design, implementation (including agile software development, cloud, analytics, big data governance), research & development, workforce transition, and organizational design. They explicitly support federal agencies (NIH, EPA, Library of Congress) and offer government contracting roles, emphasizing ethical/ responsible AI, workforce transition, and human-centered digital transformation.
🔥 5 minutes ago
🇺🇸 United States – Remote
💵 $125 - $135 / hour
⏳ Contract/Temporary
🟠 Senior
🔴 Lead
🎲 Risk
👻 Ghost score 0%
Where this job comes from
Posted on Mind Moves LLC's careers page, not through a job board
First seen by Remote Rocketship 5 minutes ago

2 - 10 employees
Founded 2016
🤖 Artificial Intelligence
💼 Consulting
🏛️ Government
Artificial Intelligence • Consulting • Government
Mind Moves LLC is a Washington DC–based, certified Woman-Owned Small Business (WOSB) that provides human-centered, purpose-driven AI transformation and change-management services. The company positions itself at the intersection of human ingenuity and machine intelligence, offering end-to-end services (strategy through sustainment), advisory engagements, workshops, and contract support for public-sector clients. Core services listed include AI business strategy, AI maturity assessments, product roadmaps, responsible AI design, implementation (including agile software development, cloud, analytics, big data governance), research & development, workforce transition, and organizational design. They explicitly support federal agencies (NIH, EPA, Library of Congress) and offer government contracting roles, emphasizing ethical/ responsible AI, workforce transition, and human-centered digital transformation.
• Serve as the data governance and policy subject matter expert on an approximately six-month NIH project • Interpret source-data governance requirements and translate them into clear, implementable, and testable technical controls • Examine consent conditions, data-use limitations, access requirements, and DUC/DUA terms • Define governance and privacy criteria for evaluating synthetic data and residual disclosure risks • Determine when additional review or authorization may be necessary for particular uses or sharing scenarios • Lead development of a machine-readable Governance Metadata Model • Define requirements and acceptance criteria for a governed-access interface prototype, including authorization, audit logging, and data egress controls • Identify ambiguous, conflicting, or incomplete requirements and establish documented interpretations with NIH stakeholders • Design governance overlays, policy edge cases, and adversarial test scenarios for a mock dbGaP-like corpus • Collaborate with technical staff to assess memorization, re-identification, membership inference, differential privacy guarantees, privacy budgets, and privacy–utility trade-offs • Contribute governance and privacy criteria to controlled-access, model-to-data, and synthetic-data evaluations • Advise on NIH and federal requirements for controlled-access genomic data in a secure environment • Lead governance and privacy sections of project deliverables, including the data specification, Verification and Disclosure-Risk & Leakage Report, final report, and transition package • Collaborate with NIH staff, Mind Moves technical teams, and partners to resolve governance questions and document decisions
• Demonstrated experience governing sensitive or controlled-access data, including interpreting consent conditions, data-use limitations, access requirements, authorization rules, and data-sharing agreements • Proven ability to translate policy, contractual, regulatory, and ethical requirements into implementable and testable technical specifications, permission models, governance metadata, and acceptance criteria • Understanding of data privacy, confidentiality, re-identification risks, data linkage, secondary use, and legitimate research requirements • Experience defining or evaluating access-control frameworks, permission matrices, authorization workflows, audit requirements, and data-use controls • Ability to identify policy gaps, ambiguous requirements, conflicting obligations, and edge cases requiring further review • Ability to collaborate with data scientists, software engineers, security specialists, and architects • Demonstrated analytical judgment and problem-solving ability balancing privacy, compliance, and scientific utility • Excellent written and verbal communication skills • Experience collaborating across multidisciplinary teams and engaging policy owners, researchers, technical teams, and other stakeholders • Full background check required if selected • US-based eligibility for the contract • Professional working proficiency in English across reading, writing, speaking, and listening • Ability to accommodate client meetings within standard Eastern business hours, roughly 8:00 AM–6:00 PM EST • 5+ years of professional experience in data governance, privacy, compliance, or policy (valuable additional experience)
• Approximately six-month contract • Part-time schedule of approximately 20 hours/week (about 540 hours total) • 100% remote work • Immediate start date • Opportunity to work on a mission-driven NIH project at the intersection of genomics, privacy, and AI • Opportunity to see governance encoded and enforced in a working system • Global impact through work supporting responsible access to research data
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