Developing analysis design for client problems, with responsibility for quality, timeliness, and business impact
Ensuring technical rigor across a range of analytics approaches (from descriptive and diagnostic analysis to advanced analytics and AI/ML)
The ideal candidate for this position will contribute to the firm’s success through a strong work ethic, particularly in team settings, and can communicate with statisticians, data analysts, and business stakeholders alike. The Sr. Consultant should be able to independently run complex analyses, while guiding junior team members and bringing in relevant life sciences context.
Position Responsibilities
This role is an important position within our team, engaging directly with global clients, leading internal teams, building capabilities and standard operating procedures (SOPs), and collaborating with
seamlessly with integrated Trinity teams across US, EU, and APAC.
Delivery Leadership
Lead specific analytical workstreams within a project, from problem framing and workplan development through analysis, synthesis, quality review, and final recommendations.
Understand and work with secondary RWE datasets such as claims, EMR, sales Data, Patient Level Datasets, and other real-world data sources to support commercial and analytical insights generation (e.g., IQVIA, Komodo, Symphony, Flatiron, Definitive)
Partner with senior project leaders within Trinity to understand and refine the 'contextual why' for business questions and structure the insights such that inform strategy and decision-making.
Be responsible for analysis execution using a selection of tools like Excel (along with Copilot), SQL, R, Python, or other analytical tools
Identify gaps in analysis plan and data limitations as project progresses, and communicate effectively with project leaders to ensure resolution
Apply advanced data science methodologies and AI/ML models for client problems, support the design and deployment Trinity’s technology solutions in client environments.
Mentoring and Coaching
Mentor and review the work of Associates, Associate Consultants and Consultants, providing feedback to strengthen problem solving, analytics execution, and client readiness.
Serve as direct people manager and own reporting lines; Coach team members to build stronger analytical, project management, and communication skills through day-to-day guidance and apprenticeship.
Teach junior team members how to use AI tools and automation responsibly in analytics delivery and operational workflows.
Support capability building across the EAD team by identifying development opportunities and helping junior staff grow.
Business Development Support
Gain methodological/ analytics approach expertise by aiding in proposal development as needed.
Contribute to pitch materials and case examples that showcase EAD capabilities across forecasting, brand analytics, RWE, access analytics, sales analytics, advanced modeling, AI/ML, and AI-enabled delivery.
Required Qualifications
Education: Bachelor's degree in a quantitative, technical, scientific, business, or related field; advanced degree preferred.
Work Experience: 5+ years of direct work experience in a related field (life sciences consulting, biopharma analytics, and/or general consulting).
Other Important Skills
Experience in life sciences, including healthcare, pharmaceutical, biotech, or medtech business questions and data.
Strong proficiency in analytical tools such as Excel, SQL, R, or Python, with the ability to execute and review complex analyses.
Experience across commercial, market, customer, and evidence-generation use cases, including
forecasting, segmentation, sales or performance analytics, access analytics, and advanced modeling.
Familiarity with statistical modeling, scenario analysis, machine learning, deployment-oriented workflows, and AI-enabled productivity or automation tools.
Experience managing and mentoring junior team members in a professional services, consulting, or analytics environment.
Knowledge of implementing custom AI Agents is a plus.
