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Ethics In Ai Jobs (NOW HIRING)

Residency in Colorado is preferred. Join us to shape the future of AI within public sector initiatives, driving innovation while maintaining the highest standards of security, ethics, and compliance.

... Ethics: * Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws. * Establish monitoring systems to track model performance, drift, and user feedback in ...

D. in computer science, AI, Data Science, computational biology, Ethics in AI, or health-related field by the appointment start date. A record of outstanding research during the Ph.D., as evidenced ...

Background in AI governance, responsible AI, or applied ethics. * Publications, patents, or open-source contributions in AI/ML. * Familiarity with aviation, logistics, or operational technology ...

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Ethics In Ai information

Are there careers in AI ethics?

Careers in AI ethics include roles such as AI ethics researcher, policy analyst, and responsible AI developer, focusing on ensuring AI systems are fair, transparent, and aligned with societal values. These roles often require knowledge of machine learning, ethics, and policy, and may involve working in tech companies, research institutions, or regulatory agencies.

How do I become an AI ethicist?

To become an AI ethicist, you typically need a background in computer science, philosophy, or related fields, along with knowledge of AI technologies and ethical principles. Gaining experience through relevant coursework, certifications, or research in AI ethics, and staying informed about industry standards and debates, can help prepare for roles in this field.

Is AI ethicist a good career?

An AI ethicist is a professional who focuses on developing and implementing ethical guidelines for artificial intelligence systems. The role requires strong knowledge of AI technologies, ethics, and policy, often involving interdisciplinary skills and certifications. It is a growing field with increasing demand as AI becomes more integrated into society.

Which 3 jobs will survive AI?

In the field of Ethics in AI, jobs such as AI ethicist, compliance officer, and AI policy analyst are likely to persist as they require human judgment, understanding of societal impacts, and ethical decision-making. These roles involve overseeing AI development, ensuring adherence to ethical standards, and addressing complex moral questions that AI cannot fully replicate. Skills in critical thinking, knowledge of AI technologies, and ethical frameworks are essential for these positions.
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Senior Vice President, AI and Transformation

Senior Vice President, AI and Transformation

Cytel

Phoenix, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

The role ensures innovation moves intentionally from exploration to trusted, production-grade systems that improve efficiency, quality, scalability, and scientific impact within regulated, clinical environments and owns the what and why of applied innovation by setting direction, priorities, guardrails, and trade-offs. The role also works closely with IT, Quality, Regulatory, Privacy, Security, and commercial leadership to ensure solutions are credible, defensible, and scalable.

The ideal candidate will bring a unique blend of commercial aptitude, thought leadership, technical capability, entrepreneurial spirit, and leadership to the role.

Strategy & Portfolio
  • Develop and deliver a roadmap for the application of analytics, AI, automation, and digital capabilities across Cytel’s current services, future service models, and emerging clinical domains, aligned with scientific rigor and regulatory expectations.
  • Set clear priorities and guardrails to ensure these capabilities improve service quality, efficiency, competitiveness, and long-term trust, balancing near‑term impact with longer‑term transformation.
Strategic Partnership & Leadership
  • Shape clear client‑facing offerings and go‑to‑market strategies that translate analytics and digital capabilities into credible, differentiated value for regulated and clinical contexts.
  • Represent Cytel externally through thought leadership and partnerships that strengthen market relevance while remaining consistent with Cytel’s scientific and regulatory reputation.
  • Partner in an influential and compelling way across Cytel’s senior leadership team to drive alignment, engagement and collaboration on actionable strategies.
  • Ensure analytics and digital capabilities deliver real business and client value and are adopted in practice, whether through tools, workflow changes, process improvements, or new service models.
  • Establish operating models that support clear ownership, support, evolution, and accountability, working across business, IT, Quality, and partner functions as capabilities scale.
Systems & Architecture
  • Define system intent, success criteria, and lifecycle expectations across analytics and digital platforms, with clear distinctions between exploratory, proof‑of‑concept, and production systems appropriate to regulated and clinical use.
  • Guide architectural decisions to balance capability, compliance, cost, security, supportability, and validation effort, ensuring systems can evolve without undermining stability or trust.
Governance & Ethics
  • In partnership, establish governance principles that ensure the responsible, ethical, and compliant use of analytics, AI, automation, and digital technologies across Cytel.
  • Embed governance, validation, and risk management into system design and operations so solutions can be explained, monitored, audited, and defended with confidence.
  • Strong experience in AI, product strategy, or emerging technology leadership, ideally in a global or enterprise context.
  • Demonstrated ability to lead transformation and build new offerings based in collaborative and evolving environments.
  • Proven track record of launching and scaling AI/ML‑powered products, preferably involving autonomous or semi‑autonomous agents.
  • Deep understanding of LLMs, agent frameworks, orchestration tools, APIs, and AI infrastructure.
  • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, Open Agents, etc.).
  • Experience in regulated environments or highly scalable enterprise platforms.
  • Exposure to multi‑agent coordination, self‑reflection loops, or tool‑using AI architectures.
  • Experience in biometrics and biostatistics, or strong familiarity.
  • Strategic thinker with strong business acumen and a bias toward action.
  • Outstanding communication and stakeholder management skills.
  • Experience working with C‑level leaders, enterprise customers, and cross‑functional global teams.
  • Technical degree in Computer Science, Engineering, or related field; MBA or advanced degree a plus.

Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

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