Associate Manager Data Science

This role involves working with our partners in different Therapeutic areas (eg Oncology, Vaccines, Pharma & Rare Disease, etc) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models.

You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics - Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions.

We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc, or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders.

Who you are:

Key Responsibilities:

Minimum Qualifications:

Bachelor s degree with at least 1-3 years industry experience (experience requirement can be waived off for exceptional candidates)

Strong Python/R, SQL, Excel skills

Strong foundations of statistics and machine learning

 

Preferred Qualifications:

Advanced degree in STEM (MS, MBA, PhD)

1-3 years experience in healthcare analytics and consulting

Familiarity with Physician and Patient-Level data (eg, claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc)

Experience in HCP & Patient Level Data analytics (eg, HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc)

Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku

Required Skills: