Data Scientist, Machine Learning

Trinity Partners India LLP; Gurgaon; On-site; INR 600,000 - 900,000; Full time

Job summary

Trinity Lifesciences seeks data analytics professionals to drive insights across pharma commercialization challenges. You will perform simple to advanced analyses, build and validate statistical models, and collaborate with multi-disciplinary teams to translate business questions into data-driven solutions.

Applicants should be proficient in Python/R/SAS and comfortable working with SQL-based tools like BigQuery.

Qualifications

• Experience in data analysis using Python/R/SAS for pharma/healthcare domains.
• Strong analytical and problem-solving skills with a quantitative mindset.
• Comfort with stakeholder interactions and translating business needs into analytics tasks.

Responsibilities

• Conduct simple and advanced data analysis to help clients make business decisions.
• Work with project leadership to define project scope and manage end-to-end implementation.
• Apply statistical, econometric, optimization models and algorithms to real-world business problems.
• Develop new statistical models and provide analysis using existing models.
• Maintain best practices and trends in analytics within the pharma domain.
• Collaborate with internal teams to understand problem statements, requirements and use cases.
• Exhibit strong problem-solving and quantitative skills; hands-on with Python/R/SAS.
• Use tools like PySpark, SQL, and BigQuery for data processing and insights.
• Build models and simulation tools from scratch when needed.
• Interact with external and internal stakeholders to ensure delivery quality and timelines.

Tools

Python

R

SAS

SQL

BigQuery

Pyspark

Job description

Roles & Responsibilities:

• Conduct simple and advanced data analysis to help clients make good business decisions
• Work with project leadership to define project scope and manage end to end implementation
• Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems
• Develop new statistical models as well as provide analysis using existing models
• Maintain the highest standards to follow the best practices and trending analytics in pharma domain
• Work with internal business teams to understand problem statement, requirements and use cases
• Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS
• Experience in tools like Pyspark, SQl, Big Query
• Ability to create a model & simulation tool from scratch
• Should be comfortable interacting and managing stakeholders both external and internal
• Should be good in project management and ensuring timelines and quality is met

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