Find your next opportunity
Browse fresh openings from leading companies and apply with a resume tailored to the role.
Browse fresh openings from leading companies and apply with a resume tailored to the role.
14154 openings
7073-7080 of 14154Clario
Free to start · No card · 5 credits the moment you sign up
Clario, a part of Thermo Fisher Scientific, is a global leader in clinical trial technology. We combine deep scientific expertise with the industry’s broadest endpoint collection platform to help pharmaceutical and biotechnology companies deliver life‑changing therapies to patients.
As we continue to scale, we are seeking a Head of Research & Development to lead the evolution of our global technology organization. This role serves as a key technical and organizational leader, responsible for shaping Clario’s long‑term engineering strategy while ensuring the stability, scalability, and quality of our current and next‑generation platforms, with a particular focus on the integration of Artificial Intelligence and Machine Learning to accelerate clinical outcomes.
Opportunity to lead global, enterprise‑scale technology teams delivering mission‑critical clinical trial solutions
A collaborative, high‑impact environment focused on innovation, quality, and patient outcomes
Competitive compensation and comprehensive benefits aligned to U.S. market practices
Partner with executive leadership to define product architecture, company vision, and long‑term technical strategy, prioritizing AI-driven modernization across the platform
Translate strategic objectives into actionable global R&D roadmaps, identifying key opportunities for Generative AI and predictive modeling to enhance endpoint collection
Lead global, multidisciplinary software development and engineering test teams to deliver high‑quality, well‑architected solutions that incorporate AI/ML frameworks
Balance innovation and operational excellence by maintaining existing platforms while expanding next‑generation, AI-augmented product offerings
Own global R&D budget planning and resource management, ensuring adequate investment in AI infrastructure, data science talent, and emerging tech
Foster a high‑performance culture focused on technical excellence, innovation, accountability, and the ethical application of AI in clinical settings
Oversee administrative R&D functions, including talent acquisition for specialized AI/ML roles, professional development, and technical training
Ensure rigorous compliance with SOPs and SWIs, promoting consistent quality and regulatory adherence for AI-enabled medical software
Act as a senior escalation point between customers, Operations, and Engineering, integrating feedback into the software development lifecycle to refine AI model performance
Provide transparent reporting on delivery status, risk mitigation, and the ROI of AI/ML initiatives
Build and manage strategic relationships with technology partners and vendors to enhance internal AI capabilities and cloud-native services
Bachelor’s degree in an IT‑related, scientific, or technical field, or equivalent professional experience
15+ years of experience leading enterprise‑level R&D organizations or large‑scale strategic technology programs
Proven experience managing the full product engineering lifecycle using Agile methodologies with a focus on MLOps and CI/CD for AI
Extensive experience delivering solutions in cloud (AWS/Azure), IaaS, and PaaS environments, specifically leveraging cloud-native AI/ML services (e.g., SageMaker, Azure AI)
Strong background managing teams operating under formal Product and Development Lifecycles, including the validation of AI models in regulated environments
Knowledge of evolving AI landscape and demonstrated experience implementing AI in regulatory environment preferred.
Demonstrated success in people leadership, leading geographically diverse teams, organizational development, and managing data science and engineering teams in complex environments
Deep knowledge of enterprise solution architecture, data privacy (GDPR/HIPAA), and information security standards as they relate to large language models (LLMs) and data processing
Strong analytical, decision‑making, and problem‑solving skills
Experience in life sciences, clinical trials, or other regulated industries preferred
Familiarity with clinical data transfer, storage standards, and regulated software risk management for algorithmic decision-making
At Clario, part of Thermo Fisher Scientific, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.
Originally posted on Himalayas
Start with a role or skill you want to use in your next job. Use the location and role filters to narrow the results, then open a listing to review the description. A title alone rarely explains the level of responsibility, working arrangement, or experience a team needs. Compare those details before deciding which opportunities deserve a tailored application.
Employers use different titles for similar work. If an exact phrase produces no results, try a shorter title, a core skill, or an alternative name for the role. Remove one filter at a time to understand which requirement is narrowing your search. A broader search can reveal suitable work without asking you to change your actual qualifications.
For each promising listing, read the responsibilities and separate essential requirements from preferences. Note the location, schedule, employment type, and compensation when provided. Missing details are questions to confirm with the employer. A remote opening may still require a particular country, work authorization, or time-zone overlap, so check the full posting before treating it as a location-independent opportunity.
Choose a few examples that demonstrate the skills this employer names. Explain your contribution and its outcome, using accurate numbers where available. Put the most relevant experience first and keep your resume easy to scan. Avoid adding technologies, qualifications, or achievements simply because they appear in a description. Your application should make your existing strengths easier to understand.
Follow the employer’s instructions for resumes, cover letters, work samples, and screening questions. Review the exported file before submitting it: confirm that contact details are correct, text can be selected, and links reach the intended pages. A resume check can help you spot unclear writing before you apply. Its feedback is advisory and does not predict a hiring decision.
Listings are collected from external sources and may change after they appear here. The employer or recruiting destination controls whether applications are open. If an original link is unavailable, check the company’s careers page for the title or move to another opening. An employer website link is a place to check current vacancies, rather than confirmation that a particular job is still accepting applications.
Keep a simple record of the company, role, job reference, application date, and documents you sent. Record any follow-up instructions and the next action you plan to take. This makes it easier to prepare for interviews, compare opportunities, and avoid applying repeatedly to the same opening through different boards. Review your shortlist as employers update their listings and prioritize opportunities with clear requirements that match the work you want to do.