Sr. Data Scientist

Premier Research Group; Bengaluru; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

Premier Research is seeking a Sr. Data Scientist to join our Clinical Data Sciences team in Bengaluru. You will help biotech, medtech, and pharma partners transform ideas into new medicines, devices, and diagnostics, contributing to life-saving innovations.

Key responsibilities include leading study efforts, coordinating data tasks, and driving data quality through automation and AI-enabled solutions within a fast-paced setting.

Qualifications

• Bachelor's degree in Life Science or related field.
• 5-8 years in Data Management or equivalent, with at least 2 years leading studies.
• Experience with clinical data management systems; familiarity with Medidata Rave or DataLabs EDC preferred.
• Exposure to automation tools and AI-driven solutions in clinical data management.

Responsibilities

• Interacts with internal and external project teams and vendors across multiple projects.
• Contributes to study team discussions and maintains meeting minutes.
• Facilitates clinical database development including eCRF planning, edit checks, and UAT.
• Performs data risk assessment and continuous evaluation of risks.
• Coordinates data team tasks per study plans and timelines.
• Ensures training on protocol requirements and data reviewer training.
• Maintains data-related documentation per procedures.
• Supports audits and study metrics reporting.

Skills

Data management

Automation tools

AI-driven solutions

Leadership

Education

Bachelor's degree

Postgraduate degree preferred

Tools

Medidata Rave

DataLabs EDC

Job description

Premier Research is looking for a Sr. Data Scientist to join our Clinical Data Sciences team.

You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success.

• We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires.

• Your ideas influence the way we work, and your voice matters here.

• As an essential part of our team, you help us deliver the medical innovation that patients are desperate for.

Join us and build your future here.

What Youll Be Doing:

• Interacts with internal and external project team members, including external data source vendors, across multiple projects.
• Contributes to study team discussions, meeting agendas, attendance, and documentation of minutes.
• Facilitates clinical database development including eCRF planning, edit check identification, User Acceptance Testing, and external data source coordination.
• Participates in data risk assessment and continuous evaluation of risks throughout the study.
• Coordinates with data team members to ensure tasks are executed per study plans and timelines.
• Ensures training on study-specific protocol requirements and supports training of data reviewers.
• Creates, maintains, executes, and stores data-related documentation per department procedures.
• Responsible for functional area eTMF filing and quality control activities.
• Participates in internal and external study audits as required.
• Oversees study budget, identifies out-of-scope activities, and supports re-scoping.
• Responsible for generation, review, and reporting of study metrics and financials.
• Executes all tasks aligned with SOPs, department guidelines, and data standards.

What We Are Searching For:

• Bachelors Degree, preferably in a Life Science, required; Post Graduate preferred.
• 5-8 years of Data Management or relevant industry experience, with at least 2 years leading studies.
• Experience with at least two clinical data management systems and in-depth knowledge of at least one, preferably Medidata Rave or DataLabs EDC.
• Familiar with all phases of a study, e.g., startup/database set-up, maintenance, and lock.
• Exposure to automation tools and AI-driven solutions in clinical data management, with the ability to support or drive implementation of automation and AI initiatives to improve data quality, efficiency, and cycle times.