Clinical Operations & Enablement Lead

About Nucs AI

Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.

We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.

Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.

The Opportunity

As Nucs AI's clinical partnerships expand and our products move toward commercial deployment, this role drives the clinical execution engine of the medical team: scientific communications, clinical enablement and education, medical intelligence, and the clinical-AI quality and data work that underpins our products. This role can be scoped at either Lead or Specialist level depending on experience and domain expertise.

You'll be the connective tissue between our clinical partners, users, the product and engineering teams, and the broader medical function. You'll translate clinical insights and evidence into compelling publications, educational programs, and intelligence assets; build relationships with key external experts and clinical collaborators; support clinical users through pilots, training, and adoption; and shape product-market fit from a clinical lens. You'll also manage the medical annotation team and contribute to medical's end-to-end ownership of the data pipeline — the clinicians, specialists, and data flows that produce the ground truth and validation evidence underpinning our AI models.

If you're energized by translating clinical science into impact — through publications, training programs, clinician engagement, and the data work that makes AI-powered diagnostics trustworthy — this is the role.

What You'll Do

Scientific Communications & Evidence Production

• Prepare scientific summaries, abstracts, posters, manuscripts, and conference materials

• Coordinate publication planning and execution in partnership with the Medical Director, Associate Director, and external collaborators

• Review all external-facing materials for clinical and scientific accuracy

• Support integrated evidence generation pipelines (regulatory, reimbursement, and other downstream applications) and documentation with clinical content, summaries, and scientific context

Clinical Enablement & User Adoption

• Develop and deliver educational programs, training materials, and onboarding resources for clinical users of Nucs AI products

• Design and support clinical pilot programs, including engagement frameworks, training materials, and structured metric capture for workflow integration

• Serve as the day-to-day clinical and scientific point of contact for users; capture structured feedback to inform product and medical priorities

• Evaluate clinical workflows and surface opportunities to strengthen product-market fit

• Build internal learning programs and provide ongoing clinical support to deepen clinical fluency across cross-functional teams

Annotation Team Management & Data Pipeline

• Manage and coordinate the medical annotation team — clinicians and imaging specialists responsible for ground-truth labeling and expert annotation of medical imaging data

• Define annotation protocols, quality standards, and review workflows in collaboration with the Medical Director and ML team

• Oversee annotator onboarding, training, calibration, and performance monitoring to ensure consistency and accuracy

• Support end-to-end ownership of the data pipeline — from vendor coordination and clinical requirements through QC, distribution, and internal tooling

• Liaise between the annotation team, medical team, and engineering/ML teams to ensure data outputs meet training, validation, and study requirements

Clinical Operations & Investigations

• Build and maintain relationships with key external experts, academic partners, and clinical collaborators

• Lead operational coordination of clinical investigations and evidence programs in partnership with academic and clinical sites

• Coordinate internal reader validation studies, including reader recruitment, read-out logistics, and performance data capture, to verify product performance and feed findings into product and medical teams

• Organize and support advisory board meetings, clinical workshops, and scientific symposia

• Manage conference logistics and produce structured intelligence reports from scientific meetings

• Drive cross-functional alignment, milestone tracking, and operational delivery across medical team programs

Medical Intelligence & Knowledge Management

• Drive medical intelligence activities, including literature surveillance, conference synthesis, and clinical trial monitoring

• Conduct evidence synthesis, competitive intelligence, and clinical landscape analysis to inform medical and product strategy

• Build and maintain medical knowledge hubs, repositories, and reference resources to make scientific content discoverable across the team

• Translate clinical insights from key external expert engagement, conferences, partnerships, and user interactions into actionable briefs for the medical team and broader organization

What You Bring

• Bachelor's or advanced degree in medical imaging, medical sciences, life sciences, or a related field

• Domain expertise in oncology and/or radiology/nuclear medicine highly preferred

• This role will be scoped as Lead or Specialist based on experience. Candidates with 4+ years of directly relevant experience will be considered at the Lead level; candidates with fewer years but strong domain expertise or an exceptional relevant background will be considered at the Specialist level

• Strong scientific writing and data presentation skills, including experience contributing to peer-reviewed publications

• Experience building relationships with key external experts, clinicians, and clinical research communities

• Excellent communication skills, with the ability to bridge clinical, product, and commercial audiences

Bonus Points

• Experience managing or coordinating clinical annotation, labeling, or data review teams

• Direct experience with PET/CT imaging or radioligand therapy

• Familiarity with AI/ML-driven clinical tools or health-tech products

• Experience with medical image annotation platforms or ground-truth data pipelines for AI training

• Experience supporting FDA or CE regulatory submissions

• Published research or conference presentations in relevant domains

Why Nucs AI

• Mission with real impact  – Your work directly improves how cancer patients are diagnosed and treated.

• Ground-floor opportunity  – Early-stage company, meaningful equity, and outsized influence on the direction we take.

• World-class collaborators  – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.

• Massive market tailwinds  – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.

• Autonomy and flexibility  – Remote-first, flexible working. We hire great people and trust them to deliver.

• Equity upside  – Competitive equity package. We’re building something big and want you to share in it.

How to Apply

Submit your resume and a brief note on why this role and Nucs AI excite you.

Equal Opportunity

Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.