Consulting Associate

Job Description

1. Conduct in-depth analysis of real-world data, industry reports, and healthcare databases to generate actionable insights through secondary market research, supplemented by primary research when needed, to deliver strategic recommendations to life sciences clients.

2. Create and present high-quality client deliverables, including research tools, interim analyses, and final reports or presentations, ensuring alignment with client objectives and expectations.

3. Oversee and manage multiple concurrent projects, maintaining effective communication and collaboration across internal teams and client stakeholders to ensure smooth execution and timely delivery.

Duties and Responsibilities:

1. Drive project execution by translating client problem statements into structured analytical approaches, designing tailored analysis frameworks, and coordinating internal meetings to communicate findings and progress.

2. Act as the primary client liaison, managing communication and addressing concerns or issues throughout the engagement to ensure high client satisfaction.

3. Stay current with industry trends and best practices in healthcare analytics, integrating relevant innovations and methodologies into project work and service offerings.

Qualifications

Education and Training Required:

• Master’s degree in biostatistics, statistics, epidemiology, economics, mathematics, engineering, operations research, health informatics or a related field from an elite institution with a strong academic record; at least two years of relevant and progressively responsible work experience as a quantitative analyst, using varied procedures and problem-solving methodologies in a healthcare professional services firm, healthcare sciences product company or related organization

Minimum Experience:

• Minimum of two years of hands-on experience in global market research, with a strong and demonstrable focus on secondary market analytics. Experience must include working with large healthcare datasets, applying statistical analysis, and generating actionable insights. In addition, exposure to primary research activities such as survey design, programming and testing, sample stratification, qualitative interviewing, data validation, and the development of weighting or projection methodologies — is a strong plus but not required.
• Direct experience with statistical and programming tools, including SQL, SPSS, R, SAS, or Python, applied in professional or academic settings for data analysis and modeling.

Knowledge, Skill, Ability:

• Participation in projects for drug development, business commercialization and brand marketing processes in biopharmaceutical industry