Jobs at Sitero

Design, build, and deploy AI applications leveraging cloud platforms while managing models, APIs, and optimizing performance. Collaborate with teams and mentor junior engineers.

The Vice President, Finance will advance Sitero's financial strategy, optimize resource allocation, and enhance operational rigor while partnering with executive leadership and overseeing global finance operations.

The Customer Success Manager leads Sitero's eClinical and Clinical services success by nurturing client relationships, mentoring teams, driving growth, managing finances, and ensuring customer satisfaction.

The VP of Finance drives Sitero's financial strategy, optimizing resource allocation and supporting decision-making for growth, compliance, and operational efficiency.

The Digital Marketing Specialist will plan and execute digital marketing campaigns, manage SEO/GEO/SEM strategies, and collaborate on content strategy to enhance brand presence in clinical research and life sciences.

The Director of Business Development will lead commercial strategy, manage client relationships, drive revenue growth, and oversee cross-functional collaboration while ensuring customer satisfaction and financial management.

The Inside Sales Associate at Sitero is responsible for driving revenue through lead generation, managing CRM documentation, and supporting the sales cycle from initial outreach to sales closure.

The Director, Business Development will drive revenue by identifying and converting pharma and biotech clients, leveraging industry expertise and networks, and managing sales cycles.

The Principal Software Engineer will architect and lead AI-driven Clinical Trial Management Systems, focusing on product modernization, AI strategy, and engineering transformation to enhance clinical research.

The Principal Software Engineer will architect AI-powered Clinical Trial Management Systems, driving product modernization, AI strategy, and engineering transformation, while ensuring compliance and scalability.

Develop AI technologies for clinical trials, focusing on scalable ML infrastructure, optimizing models, and working cross-functionally to enhance safety and efficiency.