Jobs at Trinity Life Sciences

Provides Tier I–III desktop and service desk support, serving as a technical escalation point and SME. Administers Microsoft 365, Azure, Intune, Active Directory, endpoint security, and related tools. Manages IT assets, inventory, procurement, documentation, ticket analytics, SLA monitoring, reporting, and service improvements. Troubleshoots hardware, software, peripherals, mobile devices, printers, and conference systems; mentors junior staff and communicates with end users and stakeholders.

Provides remote Level 2 desktop and service desk support, diagnosing and resolving hardware, software, endpoint, conference room, mobile device, and user issues. Manages tickets, assets, escalations, documentation, security baselines, BitLocker, device compliance, and SOC 2 practices. Supports Microsoft Teams rooms, identifies recurring problems, recommends improvements, and collaborates with IT teams while maintaining strong customer communication and SLA adherence.

Supports life sciences consulting engagements through secondary and primary research, quantitative analysis of market dynamics, sales, volume, and pricing, respondent recruitment, expert interviews, and development of findings presentations. Consultants work across multiple project teams, collaborate with internal and external stakeholders, and build therapeutic-area knowledge while strengthening analytical, communication, and leadership skills.

Own and improve product strategy and operations across product development, roadmapping, resourcing, go-to-market planning, market research, sales enablement, launches, performance metrics, and stakeholder training. The role partners with Product, AI, Data Science, Marketing, Finance, HR, executives, sellers, and clients to translate analysis into strategic recommendations and accelerate Digital and AI product commercialization.

Supports Trinity’s Client Tech team in configuring and deploying customized technology solutions for life sciences clients. The intern identifies manual delivery processes, designs and implements AI-powered automation, supports engineering, data, DevOps, and testing workstreams, tracks efficiency gains, and documents best practices. The role includes mentorship, collaboration with technical stakeholders, and hands-on experience during a nine-week hybrid summer internship.

Supports product strategy by researching user needs, translating business requirements into product specifications, assisting with roadmap and sprint planning, tracking product and AI experience metrics, prototyping AI-enabled workflows, and supporting user training. Collaborates with product managers, engineers, data scientists, designers, and stakeholders in a hybrid nine-week internship focused on life sciences applications and emerging Generative AI and agentic AI technologies.

Supports product strategy and operations for the Digital and AI organization through market and competitive research, strategic recommendations, operational improvement initiatives, reporting and staffing process enhancements, performance metric tracking, and stakeholder training. Collaborates with product, design, AI/data science, strategy, and business teams to prioritize opportunities, improve product processes, and align initiatives with business needs.

Supports the development, testing, and evaluation of AI, machine learning, generative AI, and analytics solutions for pharmaceutical and life sciences clients. Conducts research, validates models with real-world data, develops proof-of-concepts, and assists with model refinements. Prepares technical reports, presentations, proposals, and documentation while collaborating with data scientists, consultants, and engineers. Participates in training and mentorship during a nine-week hybrid summer internship.

Supports the Product Engineering team by researching and implementing generative AI models, building agentic workflows, evaluating and testing AI agents with real-world data, and collaborating on product enhancements. The intern also prepares technical documentation and presentations while receiving training and mentorship during a nine-week hybrid program.

Analyze business problems using statistical, econometric, optimization, and machine learning models. Develop new models and simulation tools, perform advanced data analysis, translate business requirements into analytical solutions, and support end-to-end project implementation. Collaborate with internal and external stakeholders while managing project timelines, quality, and deliverables in the pharmaceutical analytics domain.

Conduct business research, industry interviews, market and cost analyses, financial modeling, and client presentations. Associates support strategy consulting, opportunity assessment, valuation, and custom assignments under supervision. The role involves information collection, quantitative analysis, client interaction, potentially demanding and irregular hours, and possible international travel. Candidates need at least one year of life sciences or pharmaceutical industry experience, strong analytical and communication skills, financial understanding, and a bachelor’s degree from a top institute.

Designs, develops, deploys, and maintains predictive models for life sciences marketing analytics. Responsibilities include analyzing marketing effectiveness, sales engagement, next-best-action, demand planning, customer segmentation, and test-and-control problems. Applies statistical, econometric, and optimization methods to structured and unstructured data, communicates actionable findings, and supports end-to-end client projects.

Conducts advanced data analysis and develops statistical, econometric, optimization, and simulation models for business problems, particularly in the pharmaceutical domain. Works with clients, business teams, and project leadership to define requirements, manage implementations, and deliver high-quality results on schedule. Requires strong quantitative, problem-solving, stakeholder management, and project management skills.

Manages and expands a portfolio of emerging life sciences accounts, serving as a trusted advisor to commercial, market access, and medical affairs leaders. Responsibilities include client engagement, membership services, prospecting, solution sales, account planning, renewals, negotiations, proposals, revenue forecasting, onboarding, and coordinating internal subject matter experts to deliver advisory and benchmarking services.

Designs, develops, and operationalizes enterprise knowledge platforms and AI solutions. Leads multi-LLM orchestration, RAG pipelines, knowledge graphs, SharePoint and Power Platform development, Power BI reporting, governance, and cross-functional stakeholder work to deliver scalable KM solutions.

Analyze benchmark, survey, and client organizational data to identify trends, outliers, and actionable insights. Create accurate dashboards, charts, reports, and client deliverables using Excel, PowerPoint, Power BI, and automation tools. Support survey design, benchmarking analyses, product development, and process improvements while communicating methods and findings clearly. Collaborate with team members, manage projects independently, and translate complex quantitative and qualitative data into business-friendly recommendations.

Conduct data analysis and develop statistical, econometric, optimization, and machine learning models for pharmaceutical business problems. Collaborate with clients, leadership, and internal teams to define requirements, manage projects, build simulation tools, and deliver high-quality results on schedule. Use Python, R, SAS, PySpark, SQL, and BigQuery while managing internal and external stakeholders.

Build and deploy generative AI solutions for biopharma and life sciences clients, including Copilots, RAG pipelines, agentic workflows, and data integrations. Own projects from discovery through production, rapidly prototype and iterate with clients, and improve reusable AI components. Mentor and guide a small team of AI engineers through pairing, code reviews, onboarding, and technical coaching. Translate ambiguous client needs into production-quality systems while contributing to product development and knowledge-sharing.

Analyze structured datasets, identify trends, and communicate business insights through reports, presentations, dashboards, and visualizations. Contribute to analytics and benchmarking product initiatives, integrate technology and analytics, refine outputs for accuracy, and collaborate with peers and managers. The role requires strong Excel, Power BI, statistical, communication, and problem-solving skills, with preferred experience in competitor analysis, Salesforce reporting, survey platforms, automation, and life sciences.

Design, implement, support, and troubleshoot enterprise system and data integrations across cloud platforms. Develop containerized integrations, contribute to data mapping and metadata, maintain technical documentation, and improve performance and reliability. Collaborate with engineering, platform, data, and business teams to deliver integration solutions and support deployments.