Functional Consultant – Pharma RWE Epidemiology & Observational Science

Job Title : Functional Consultant – Pharma RWE Epidemiology & Observational Science

Experience : 6–10 years

Industry : Pharmaceutical / Biotechnology

Location : Bangalore

Employment Type : Full-Time

Overview

Our client – one of the largest data science companies – is seeking to hire a Functional Consultant – Life Sciences with 6–10 years of experience in the pharmaceutical or biotechnology industry, specifically within pre-clinical and / or clinical research and development (R&D).

The ideal candidate will have a strong foundation in managing scientific research projects, coordinating cross-functional teams, and collaborating with global stakeholders across geographies. Demonstrated experience in project execution, scientific communication, and data-driven decision-making is essential.

The ideal candidate will embrace the Company’s Decision Sciences Lifecycle and ways of working, acting as a strategic transformation partner to drive long-term business, financial, and operational outcomes. They will leverage advanced analytics, machine learning, statistical modeling, and a global delivery model to build data-driven solutions.

The role involves shaping growth strategies, identifying new business opportunities, and applying design thinking for structured problem-solving. Candidates should deliver actionable insights through compelling data visualizations, reports, and presentations, while also monitoring solution performance and ensuring continuous optimization. Leadership of offshore teams, including onboarding, mentoring, and performance management, is a key responsibility.

Domain Expertise

Candidates must have hands-on experience or exposure to at least one of the following functional domains :

Epidemiological Study Design & Analysis

• Expertise in designing and conducting epidemiological studies, including cohort, case-control, cross-sectional, and longitudinal studies
• Proficiency in statistical methods for epidemiological data analysis, such as regression modeling, survival analysis, and propensity score matching
• Experience with tools like SAS, R, or Stata for analyzing epidemiological datasets and generating actionable insights
• Knowledge of bias identification, confounding adjustment, and causal inference methodologies in observational studies
• Familiarity with regulatory requirements (e.g., FDA, EMA) for epidemiological data used in drug safety and efficacy evaluations

Real-World Evidence (RWE) & Health Outcomes Research

RWE Epidemiology / Observational Research

Important Requirements :

Additional Desirable Requirements :

Additional Competencies

Additional competencies in data science and analytics using R, Python, or SQL, along with familiarity with Agile methodologies, JIRA, and other project management tools, are considered strong advantages. Experience with AI / ML tools, data visualization platforms (e.g., Tableau, Power BI), and working in cross-disciplinary environments will be a plus.