Engagement Manager - Enterprise Analytics Delivery

Trinity Partners, LLC; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Trinity seeks a Sr. Manager Data Science to lead end-to-end analytics across RWE, HEOR, and commercial analytics. You will develop advanced analyses, code in R/Python, and present insights to internal and external stakeholders in a fast-paced environment.

The role emphasizes collaboration with statisticians and non-statisticians, mentoring junior staff, and contributing to business development activities within the RWE analytics team.

Qualifications

• MS or PhD in Mathematics, Statistics or Biostatistics or Biostatistics; Bachelors in any discipline may apply.
• 8+ years direct work experience in life sciences analytics/consulting.

Responsibilities

• Develop and design analysis plans and perform analyses using R/SQL/Python on administrative claims, survey, and sales data.
• Manage multiple projects end-to-end with minimal supervision.
• Communicate methods, analytics approach, and findings to internal teams and clients.
• Support analytics product development and contribute to proposals.
• Write efficient, reusable code in R, Python, and SQL.
• Review junior team work and mentor colleagues on best practices.

Skills

R

Python

SQL

Advanced analytics

HEOR

Epidemiology

Mentoring

Education

MS or PhD in Mathematics, Statistics or 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.