Engagement Manager - Enterprise Analytics Delivery

Trinity Life Sciences; Hinoba-an; On-site; PHP 2,000,000 - 3,500,000; Full time

Job summary

Trinity Life Sciences is seeking a Sr. Manager Data Science to lead RWE analytics and deliver advanced insights across HEOR, commercial analytics, and epidemiology. The role involves designing end-to-end analysis plans, writing sophisticated R/Python code, and presenting findings to clients and internal teams.

You will mentor junior staff and contribute to business development efforts. The ideal candidate will have 8+ years in life sciences analytics, a strong statistical background, and the

Qualifications

• MS or PhD in Mathematics, Statistics or Biostatistics.
• Bachelor's degree in any discipline.
• 8+ years direct work experience in life sciences analytics (consulting, CRO, biopharma or related).

Responsibilities

• Develop and design analysis plans and perform analyses using R/SQL/python on claims, survey, and sales data.
• Execute multiple projects end-to-end with minimal oversight.
• Communicate methods and findings to internal teams and clients.
• Contribute to proposal development and gain methodological analytics expertise.
• Support analytics product development with the product team.
• Own product development for single or multiple modules.
• Explain the contextual why of each analysis task to meet client needs.
• Identify data gaps and communicate resolutions with project leaders.
• Mentor junior team members and provide code reviews.

Skills

Statistical analysis

Team mentorship

Project management

Communication

Data visualization

Education

MS/PhD in Mathematics/Statistics/Biostatistics

Bachelor's degree in any discipline

Tools

R

Python

SQL

Job description

Position Summary

Trinity is seeking a talented, committed, and entrepreneurial individual to join our RWE Analytics team as a Sr. Manager Data Science. The Sr.Manager will provide advanced analytics to drive insights across the Real-World Evidence (RWE) function. This may include Health Economics and Outcomes Research (HEOR), commercial analytics, epidemiology, HCP segmentation and more. In general, the Sr. Manager Data Science at Trinity will be an integral part of project teams comprised of skilled colleagues and management team members. This environment allows for ample exposure to a wide variety of strategic business issues, as well as the opportunity to gain in-depth knowledge of the life sciences industry. 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 and non-statisticians alike. The primary responsibilities of the Sr. Manager Data Science will be to design and develop end to end analysis plan, provide advance analysis of complex and/or large datasets, produce sophisticated R/ Python code, deliver sound analytics insights, effectively present findings to both internal and external groups, support business development activity and coach/ mentor junior team members in their project work.

Position Responsibilities

• Develop/ design analysis plans and perform analyses using R/SQL/ python, on administrative claims, survey, and sales data
• Work on multiple projects simultaneously end to end with other teams with minimum support from MT/ LT.
• Communicate methods/ analytics approach and findings to internal teams as well as to clients
• Gain methodological/ analytics approach expertise by aiding in proposal development as needed.
• Support/ provide inputs for analytics product development activities with product development team.
• Support/ Own product development efforts for single/ multiple modules of product.
• Understands the 'contextual why' each piece of the analysis plan needs to be included in order to meet the client needs/business objectives; can explain why each discrete task is needed and plays a key role in outlining the discrete tasks needed to meet the needs/objectives.
• Identifies gaps in analysis plan and data limitations as project progresses, and communicates effectively with project leaders to ensure resolution
• Engage in analysis plan gap discussion and brainstorm around Plan B solution.
• Write quality codes using R/ Python/ SQL that is efficient and reusable.
• Review codes/ analysis outputs/ project documents etc. of junior team members, provide them valuable feedback and mentor/ coach them on best practices around it.

Position Requirements

Education: MS or PhD in Mathematics, Statistics or Biostatistics/ Bachelors in any discipline.

Work Experience: 8+ years direct work experience in a related field (life sciences consulting, CRO, biopharma and/or general consulting) conducting advanced analytics.

About Trinity

Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey - from pre-launch to scale to loss of exclusivity. For more than 30 years, the world's leading pharmaceutical, biotech, and medtech companies have relied on Trinity's foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com. Early Talent Learning & Development Inclusion & Engagement Practice Case Study