Jobs at Trinity Life Sciences

Analyze patient-level and secondary healthcare data to generate business insights, develop analytical methodologies, summarize findings with statistical techniques, and create visualizations. Translate business questions into analytical solutions, execute recurring and ad hoc projects, and communicate with clients. The role supports healthcare marketing, sales, market assessment, forecasting, segmentation, and engagement analytics while requiring independent ownership, collaboration, leadership, and strong communication.

Analyze and visualize small to large datasets, translate business questions into analytical methodologies and business rules, apply basic statistical techniques, and deliver ad hoc and recurring reporting. The role also supports data wrangling and may involve patient-level healthcare, pharmaceutical, marketing, forecasting, competitive intelligence, and sales analytics.

Owns end-to-end architecture and delivery of data products, including schemas, entity resolution, provenance, schema evolution, and normalization pipelines. Leads conversion of unstructured and semi-structured sources into enterprise-quality datasets using deterministic parsing, LLM-assisted extraction, inference, and human review. Partners with domain experts, data scientists, and AI engineers while applying strong SQL, Python, distributed processing, testing, observability, and CI/CD practices.

Analyze and visualize small to large datasets, translate business questions into analytical methodologies, develop business rules and process flows, and apply basic statistical techniques. Execute ad hoc and recurring projects using secondary and patient-level healthcare data, including claims and real-world data. Support client communication, marketing and sales analytics, and collaborative problem-solving while independently owning assigned projects.

Provides data analysis, visualization, statistical summaries, and business insights using patient-level and secondary healthcare data. Translates business questions into analytical methodologies, business rules, and process flows; executes ad hoc and recurring projects; and communicates findings to clients. Supports pharmaceutical marketing, sales, forecasting, segmentation, competitive intelligence, and engagement analytics while independently managing project modules and collaborating with teams.

Analyze and visualize small to large datasets, translate business questions into analytical methodologies, develop business rules and process flows, and apply basic statistical methods. Execute ad hoc and recurring projects using secondary and patient-level healthcare data. Support client communication, marketing and sales analytics, and collaborative problem-solving while owning assigned modules or projects.

Leads enterprise strategic sourcing, procurement, vendor consolidation, competitive RFPs, commercial negotiations, preferred supplier and contractor programs, vendor intake, risk assessments, spend analytics, and procurement reporting. Partners with Legal, Compliance, Finance, IT, and business leaders to manage supplier performance, contracts, commercial terms, and procurement governance.

Conducts statistical, econometric, optimization, and machine learning analysis to solve business problems, particularly in the pharmaceutical domain. Develops models and simulation tools, analyzes data, collaborates with business teams and project leadership, manages stakeholders, and supports end-to-end project implementation while meeting timelines and quality standards.

Leads Trinity’s commercial strategy advisory business for pharmaceutical and biotech clients, covering portfolio strategy, new product planning, business development support, and launch strategy. Builds client relationships and generates $3–5 million in annual revenue, expands existing accounts, develops staff, and provides strategic leadership on client engagements and firm capabilities.

Leads complex life sciences analytics projects from problem framing through recommendations, ensuring analytical rigor, quality, timeliness, and business impact. Works with real-world and commercial datasets, using Excel, SQL, R, Python, statistical modeling, AI, and machine learning. Responsibilities include client engagement, team leadership, mentoring, SOP development, capability building, proposal support, and deployment of AI-enabled analytics solutions.

Supports life sciences consulting projects focused on pricing, launch strategy, value propositions, payer access, and health technology assessment. Conducts primary and secondary research, coordinates market research with payers and physicians, performs qualitative and quantitative analysis, and develops client presentations. Collaborates with project teams, participates in meetings, communicates progress, and receives training and mentorship during a nine-week in-person summer program.

Supports life sciences consulting projects through secondary research, market and pricing analysis, forecasting, primary research with healthcare stakeholders, and interpretation of clinical, scientific, and business data. Develops client presentations and project deliverables while collaborating with multidisciplinary teams. The nine-week, in-person summer program includes formal training, mentorship, and exposure to pharmaceutical, biotechnology, and medical technology commercialization strategies.

Conduct qualitative and quantitative primary market research for life sciences clients. Develop research materials, coordinate survey and interview fielding partners, analyze data, create compelling PowerPoint presentations, translate findings into strategic recommendations, support proposals, and mentor junior consultants.

Supports primary market research projects in the life sciences industry by drafting research materials, recruiting respondents, conducting fieldwork, analyzing qualitative and quantitative data, developing client insights, and creating visual PowerPoint presentations. This is a 9-week, in-person summer internship requiring 40 hours per week, with training and mentorship provided.

Supports primary market research projects in the life sciences industry by drafting research materials, recruiting respondents, analyzing qualitative and quantitative data, developing client insights, and creating visual PowerPoint presentations. The role includes formal training, mentorship, collaboration with project teams, and exposure to how market research informs commercial decision-making. This is a 9-week, in-person summer program in New York, paid at $35 per hour.

Supports life sciences consulting projects focused on pricing, market access, value propositions, and healthcare decision-maker dynamics. Conducts primary and secondary research, prepares research materials, coordinates interviews with payers and physicians, performs qualitative and quantitative analysis, and develops client presentations. Collaborates with project teams, participates in internal and client meetings, communicates progress, and applies feedback while building analytical, communication, and consulting skills.

Nine-week, in-person summer associates support life sciences commercialization projects through secondary and primary market research, pricing and pipeline analyses, forecasting, and interpretation of clinical, scientific, and business data. They synthesize findings, develop client presentations, collaborate with project teams, and contribute to strategic decision-making for pharmaceutical, biotech, and medical technology clients.

Conduct secondary and primary life sciences market research, analyze clinical, scientific, pricing, pipeline, and business data, build forecast models, and synthesize insights for project teams and clients. Develop presentations and client deliverables while collaborating across consulting teams. The role includes formal training, mentorship, and exposure to pharmaceutical, biotech, and medical technology commercialization strategies.

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.

Administer and support enterprise Snowflake, PostgreSQL, SQL Server, and MySQL environments across Azure and AWS. Responsibilities include installation, upgrades, patching, migrations, backup and recovery, replication, high availability, performance tuning, access control, security compliance, automation, and cloud data-platform integration. Provides Level 2 and Level 3 troubleshooting, incident response, documentation, and on-call support while collaborating with infrastructure, cybersecurity, application, cloud, and data engineering teams.