Scientific Solution Architect

Scientific Solution Architect - South America Join to apply for the Scientific Solution Architect - South America role at Code Ocean . While the working hours for this position are aligned with US Eastern Time, we welcome applications from the following countries: Brazil, Argentina, Mexico, Uruguay. What you’ll do Become a subject matter expert in the features, benefits and applications of the Code Ocean Platform. Serve as a brand ambassador of Code Ocean, responsible for providing a collaborative and problem‑solving environment to our clients. Collaborate with customers to define use cases and success criteria, driving the technical aspects of engagement with Code Ocean. Deliver compelling and accurate product demonstrations, tailored to the audience and their requirements. Lead the technical aspects of pilots/POCs, aligning customer success criteria to Code Ocean solutions. Create example capsules, tools, notebooks, and data flows for customers and prospects. Troubleshoot customer issues and provide customer support, following the progress of issues raised through to resolution. Build strong, collaborative relationships with customers and internal teams; serve as a customer’s trusted scientific/technical partner. Predict the client’s reaction and responsiveness to new features and identify solutions that will solve their specific research and business challenges. Lead technical discussions on Platform configuration, automation, cloud cost‑efficiency, integrations, etc. Scope and deliver onboarding training sessions of the Code Ocean platform. Diligently capture the voice of the customer and collaborate with the Product and R&D teams to continuously improve Code Ocean’s product based on accurate market intelligence. Contribute to customer proposals and RFI/RFP responses. Keep abreast of the latest industry developments, particularly with respect to competitors’ offerings. Partner with marketing/product teams on creation of content for awareness, thought leadership, demand generation and sales enablement. Contribute to creating customer documentation, including customer‑facing release notes and technical guides. Work in a fully remote environment, with occasional 5‑20% travel to attend client meetings, conferences, or other events according to business needs. The ideal candidate characteristics Bachelor's degree in computer science, computational biology, bioinformatics, data science, computational chemistry, statistics, AI/ML, engineering, or related fields. At least 2 years of experience in a technical customer‑facing role (e.g., solution architect, customer success, scientific engagement, professional services, technical sales, functional consulting, etc.). Exceptional team player with ability to collaborate, support and influence others in a calm, constructive, and positive manner. Ability to deliver effective and compelling presentations. Self‑motivated and results‑oriented approach with a flexible, “can‑do” attitude. Strong project management and problem‑solving abilities. Familiarity with one or more of the following: Python, R, Bash, Nextflow. Familiarity with AWS or similar cloud computing services and technologies. Experienced with computational research, data science, informatics, or DevOps tools. Equally comfortable in a business and technical context, interacting with executives and technical audiences. Could be nice, but not required 3+ years of experience in a technical customer‑facing role. Knowledge of the Code Ocean platform, or experience working within other computational research environments. Hands‑on experience with large‑scale research data management (HPC or cloud computing) and/or analysis (e.g., WGS/WES, RNA‑seq, single cell, joint calling, GWAS/PheWAS, etc.). Advanced knowledge of public clouds, particularly AWS. Prior experience working in dry lab environments within life sciences organizations. Proficiency in Docker, Git, and/or AI model training/development. Master's or PhD degree in a relevant discipline. Awareness of regulatory requirements such as GxP, ISO27001, and HIPAA. Flexible working hours and a remote‑friendly culture. International working environment. Seniority level Mid‑Senior level Employment type Full‑time Job function Science, Research, and Customer Service Industries Software Development and Biotechnology Research Code Ocean is committed to creating a welcoming and inclusive work environment for all people, regardless of background, age or identity. We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. #J-18808-Ljbffr