Job Description
This position is part of the Accenture Research Global Life Sciences team, with a strong focus on the Pharmaceutical industry. The Research Associate Manager will work closely with senior researchers and Accenture's LS leadership, supporting global priorities through cutting-edge research and insights. The role contributes to both Thought Leadership (TL) and Client-focused Research (CFR), helping shape strategic viewpoints, support client engagements, and strengthen Accenture's competitive positioning.
Key Responsibilities include:
Contribute to the development of research-based insights through structured market analyses, industry monitoring, and synthesis of data and trends.
Explore key themes covering topics such as clinical trials, market access, commercialization, generative AI, geopolitical or legislative developments.
Analyze industry and company data using research and visualization tools. Work with senior researchers to update internal models and produce client-ready outputs.
Work with research leads and client teams to shape viewpoints, answer strategic questions, and contribute to publications or internal briefings.
Craft clear and compelling research outputs (slides, visualizations, written summaries) for Accenture leadership and clients.
Develop case studies, conduct surveys, and perform secondary data analysis. Comfortable with expert interviews.
Leverage generative AI to enhance ways of working, identify novel insights, and deliver outputs in non-traditional ways
Hard skills:
Understanding of the Life Sciences (pharmaceutical) industry and its key challenges
Experience applying a range of research methodologies, including secondary research, market and company profiling, strategic frameworks, and financial analysis.
Strong analytical skills with the ability to make sense out of data, visualize, and interpret findings
Comfortable using Generative AI tools (e.g., ChatGPT, Claude, Copilot) to enhance research and content creation.
Business knowledge on the application of AI (including machine learning, deep learning, natural language processing, large language models (LLMs), generative AI, agentic AI, etc.) and related emerging topics in AI, Data, Automation, Analytics.
Ability to compile reports, including the synthesis of information from various primary and secondary sources, with clear storylines and results.
Able to write in a clear, concise, and compelling way
Proficient in Excel, PowerPoint, and Word; experience with Power BI or similar is a plus.
Python or SQL are a plus but not required
Soft skills:
Intellectual curiosity
Problem solving mindset
Ability to work independently and collaboratively in global, virtual, cross-cultural teams
Ability to present research findings to senior audiences
Strong communications skills and interpersonal skills
High standards of integrity, professionalism, and commitment to continuous improvement
Ability to work on multiple engagements simultaneously.
Additional Information
Reports to: Research Manager
Qualifications:
A bachelor's degree, preferably in business or STEM.
A postgraduate degree in business or STEM, such as an MBA, MS, PhD., or equivalent is a plus.
Work Experience:
8-10 years of experience, preferably in a consulting environment, think tank, financial institution, pharmaceutical/biotech company, CRO/CDMO or other business research organization or have demonstrated equivalent skill elsewhere.
Location: Bengaluru, India
Preferred start date: As soon as possible
