Note: The job is a remote job and is open to candidates in USA. ZONTAL is defining the next generation of data platforms for the life sciences industry, empowering organizations to unlock the full value of their scientific data. As a Scientific Solutions Consultant, you will lead the technical delivery of customer solutions, translating business needs into actionable plans and ensuring successful implementation and support.

Responsibilities

• Lead the technical implementation of multiple simultaneous customer projects in a rapidly growing portfolio of accounts and platform capabilities
• Discover and clarify functional/technical requirements with customers; keep scope, decisions, and timelines aligned
• Produce delivery and product documentation where appropriate, including Requirements, Design, and Configuration Specifications, as well as feature PRDs for customization projects
• Leverage cutting-edge AI tools – such as commercial LLMs and in-house, fine-tuned models – to accelerate technical delivery and streamline development processes
• Plan and drive execution for both routine configurations and larger efforts that require customizations (e.g., integrations, parsers, application-level enhancements)
• Communicate and document cloud and enterprise architecture in customer contexts, including common AWS service interactions and enterprise stack integration points
• Coordinate technical implementation in partnership with Program Managers across supporting verticals (Data Engineers, Support Engineers, Cloud Architects); track risks/issues, unblock decisions, and escalate appropriately
• Ensure System Integration Testing (SIT) is planned and executed against requirements, validate deliverables against acceptance criteria, and drive defect resolution; coordinate with customers on UAT and validation as needed
• Lead customer trainings and develop training curricula/materials (e.g., agendas, slide decks, exercises, and knowledge checks) to support adoption and sustainment
• Transition deliverables to Support/Operations with configuration and design documents, known issues, and handoff walkthroughs
• Identify and execute delivery process improvements (e.g., templates, checklists, tooling, and other artifacts)
• Contribute to practical standardization (e.g., reusable reference architectures, delivery playbooks, parser patterns) and share lessons learned to reduce rework

Skills

• +5 years of experience in a Solutions Owner / Technical Consulting / Implementation / Solutions Engineering role delivering customer-facing technical solutions
• Bachelor's degree (or higher) in a computational or life sciences discipline (e.g., Computer Science, Software Engineering, Data Science, Computational Biology, Bioinformatics, or related)
• Experience delivering customer-facing technical solutions in a regulated environment (e.g., GxP, 21 CFR Part 11) or other high-compliance contexts
• Demonstrated ability to turn ambiguous requirements into clear specifications and an actionable plan
• Experience working with data flows and a variety of data formats; planning and collaborating with engineers to develop pipelines and integrations
• Strong written and verbal communication skills—able to document decisions, explain tradeoffs, and keep stakeholders aligned
• Experience leading customer trainings and developing training curricula/materials for technical solutions
• Familiarity with enterprise technology stacks and how large enterprise typically runs and governs applications (e.g., IAM/SSO, networking, environments, change control, monitoring, data platforms)
• Experience designing and/or implementing data pipelining solutions using ETL or IPaaS technologies (e.g. Apache Airflow, AWS Glue, Boomi, MuleSoft)
• Working knowledge of AWS and cloud-native delivery concepts; able to discuss and document architectures involving common services (e.g., S3, ECS/EKS, EC2) and their operational/security implications
• Applicants must be currently authorized to work in the United States for any employer. The position does not provide sponsorship for employment visa status now or in the future
• Familiarity with biopharma enterprise ecosystems and constraints (e.g., validated environments, segregation of duties, data governance, security review processes), and/or experience designing solutions for biopharma customers
• Familiarity with customer validation activities and structured testing approaches (SIT/UAT)
• Experience with parser design concepts and implementation of lifecycle (requirements → design → test → deliver/handoff)

Benefits

• Health, dental, and vision insurance
• Matching 401(k)
• Life insurance
• Flexible, remote-first work environment
• Unlimited Discretionary Time Off (DTO)

Company Overview