Jobs at Trinity Life Sciences

Lead qualitative and quantitative analyses to generate insights and recommendations for life sciences clients. Manage workstreams, mentor junior staff, create client-ready deliverables, and develop expertise in 1–2 functional or therapeutic areas.

Lead client-facing omnichannel marketing benchmark and advisory engagements for biopharma clients. Manage projects end-to-end, collect and analyze headcount/budget/skills data, author benchmark reports with recommendations, advise on omnichannel strategy, content, MarTech, analytics and governance, run client summits, identify business development opportunities, and contribute to solution innovation and marketing collateral.

Lead and expand TGaS account portfolio by advising Commercial Operations leaders, growing revenue across 10–12 accounts, overseeing multi-solution benchmarks, developing account business plans, partnering with solution leads and Trinity teams, and positioning as an industry thought leader to identify and close new opportunities.

Lead commercial strategy and business development for life sciences clients; manage teams, budgets, and client relationships; drive revenue, staff development, and firm-level strategic initiatives while ensuring high-quality project delivery.

Lead EVAP project engagements as primary client contact and internal team lead. Guide workstreams, mentor junior staff, produce client-ready deliverables, support business development and RFPs, and provide thought leadership in evidence, value, access, and pricing strategies.

Embed with biopharma and life sciences clients to rapidly prototype and deploy GenAI solutions (LLMs, RAG, agents). Own end-to-end delivery, mentor 1-2 junior engineers, translate stakeholder needs into production-ready systems, and feed field learnings back into product.

Lead and grow EVAP engagements in value, access, and pricing for global biopharma clients: develop proposals, manage client relationships, guide project teams, deliver actionable strategic recommendations, drive business development, and mentor junior staff while supporting internal capability-building.

Design, build, and maintain front-end and back-end systems, APIs, and services; collaborate with product and design teams; ensure performance, scalability, security, and code quality; mentor junior engineers and participate in architecture decisions.

Manage end-to-end panel recruitment for pharmaceutical and life sciences market research projects. Schedule and qualify respondents, coordinate with external sample providers, communicate fieldwork progress and challenges to internal teams, follow project specifications, maintain data confidentiality, and support both qualitative and quantitative methodologies to maximize respondent show rates.

Lead and oversee analytics engagements for life sciences clients—drive business development, translate commercial questions into AI/analytics solutions, manage delivery and quality, coach junior staff, and collaborate with cross-functional SMEs to scale analytics and AI-enabled capabilities.

Manage end-to-end panelist recruitment and project fielding for pharmaceutical and life sciences market research. Schedule and qualify respondents, coordinate with external sample providers, communicate fieldwork progress and issues to project teams, follow project specifications, and maintain data confidentiality.

Perform advanced data analysis and statistical/econometric modeling to solve business problems in the pharma domain. Build models and simulation tools, manage end-to-end project delivery, collaborate with stakeholders, and apply best-practice analytics using Python/R/SAS, PySpark, SQL, and BigQuery.

Lead EVAP project engagements as the main client contact and internal team lead. Oversee project delivery, budgets, and junior staff; develop evidence, value, access, and pricing strategies; create client-ready materials; support business development; mentor staff and drive internal EVAP growth initiatives.

Lead commercial data management advisory and benchmarking for biopharma clients: assess capabilities, design roadmaps, deliver benchmark reports, facilitate workshops, provide strategic guidance on governance, platforms, team structure, and drive business development and innovation.

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.

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.