Jobs at Trinity Life Sciences

Lead and manage DevSecOps/security engineering teams; oversee CI/CD and cloud security (AWS/Azure/GCP); implement vulnerability scanning, incident response, threat analysis, configuration management, API/container security, and compliance (HIPAA, SOC2, GDPR, CCPA). Communicate security posture to technical and non-technical stakeholders and continuously monitor security controls across IT frameworks.

Manage client engagements and serve as client point of contact. Lead forecast model builds, develop forecasting best practices, create client-ready forecasts and materials, implement quality control, coordinate internal/external timelines, provide on-site client support when needed, communicate project status, support strategic initiatives, and train junior forecasting team members.

Support VAP project teams with primary and secondary market research, design and conduct interviews/surveys with healthcare decision-makers, analyze qualitative and quantitative data, and help develop client presentations and value, pricing, and access recommendations.

Two-year rotational associate consultant role in life sciences advisory. Conduct secondary and primary market research, build analytic/forecast models, synthesize clinical and commercial data, develop client presentations, and rotate across practice areas to develop analytical, teamwork, and communication skills. Hybrid role based in Mexico City with an August 17, 2026 start requirement and no visa sponsorship.

Lead rigorous analysis and visualization of large healthcare and market datasets (RWD, claims, CRM). Structure ambiguous business questions, perform data preparation and validation, apply advanced analytics, and produce executive-ready insights. Own delivery of ad-hoc and recurring analytics, partner with senior team members, and support strategic decision-making with defensible recommendations.

Lead and develop the US helpdesk team to deliver and improve end-user IT services. Own ITSM practices and ServiceNow roadmap, optimize endpoint lifecycle (Jamf/Intune), enforce SLAs/KPIs, drive automation and self-service, partner with security and infrastructure, and improve onboarding/offboarding and overall user experience.

Research, prototype, and integrate LLMs and NLP solutions into business use cases. Experiment with and fine-tune ML/DL models, optimize performance, build data pipelines, and collaborate with cross-functional teams to deploy LLM-based applications.

Lead product marketing for Trinity's AI and analytics portfolio, owning positioning, messaging, GTM strategy, launches, sales enablement, market intelligence, and performance measurement to drive adoption and commercial impact in biopharma.

Lead product development for Strategic Planning & Forecasting solutions in life sciences by translating business needs into requirements, identifying data sources, coordinating with Engineering/Data Science/Automation, performing UAT, writing data processing requirements, and supporting go-to-market and roadmap planning. Leverage New Product Planning and healthcare secondary data expertise and integrate GenAI-assisted automation where valuable.

Senior Data Scientist focused on machine learning: develop and deploy ML models, lead technical design, collaborate with stakeholders to deliver customer-focused analytics and solutions, mentor junior team members.

Lead design and execution of market research projects: define methodology, apply advanced statistical techniques, ensure analysis quality, create automated processes, develop client-ready deliverables, present findings, and coach junior team members.

Provide consulting on value demonstration, market access, and pricing strategy for healthcare or pharmaceutical clients, developing pricing models, reimbursement approaches, and stakeholder engagement plans.

Embed with biopharma and life sciences teams to rapidly prototype and deliver GenAI-powered applications, RAG pipelines, and agentic workflows. Own end-to-end delivery from whiteboard to production, demo to iteration, and handoff to product while documenting patterns and pushing field learnings back into the product.

Provide legal support for life sciences contracts, compliance, IP, data privacy, and acquisitions. Draft, review, negotiate agreements, advise leadership, support integrations, complete RFPs, and collaborate with Compliance, HR, and IT.

Design, implement, fine-tune, and deploy ML models and GenAI/LLM applications (summarization, sentiment, content generation). Build data pipelines, research GenAI frameworks (LangChain, LlamaIndex), optimize models for performance and scalability, and collaborate with cross-functional teams to integrate AI into business processes.

Lead hands-on GenAI engineering engagements embedded with biopharma clients: prototype and deliver production-ready LLM, RAG, and agentic solutions quickly, mentor 3–4 junior engineers, translate stakeholder needs into technical designs, and push field learnings back into product. Own end-to-end delivery from whiteboard to production and collaborate across pods to iterate on client-facing AI features.

Lead EVAP project engagements as primary client contact and internal team lead. Oversee workstreams, mentor junior staff, produce client-ready deliverables, develop proposals, identify business opportunities, and contribute to value, access, and pricing strategy and evidence-generation work.

Lead client-facing analytics engagements in life sciences, translating business questions into AI- and analytics-driven solutions (forecasting, sales analytics, omnichannel measurement). Manage project delivery, timelines, quality, and stakeholder communications; grow business opportunities and support proposals; coach junior staff and contribute to internal capability development and cross-functional collaboration.

Support primary market research projects in the life sciences: draft discussion guides and surveys, manage fielding partners, analyze qualitative and quantitative data, create compelling PowerPoint presentations, translate findings into client recommendations, assist proposals, and mentor junior staff.

Lead quantitative and qualitative analyses to develop commercial strategies for life sciences clients. Manage workstreams, mentor junior staff, create client-ready deliverables, and develop subject-matter expertise in functional or therapeutic areas to support client growth and commercialization efforts.