Life Sciences (Pharmaceutical) Research Associate Manager

Job Description:

Responsibilities

• 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. 

Qualification & Experience

• 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