Manager Data Science

Job Description

- 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:

- You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation
- You are self-motivated, and have demonstrated abilities to think independently as a data scientist
- You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand
- You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
- You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks

Key responsibilities:

- Lead a team of Analysts - Data Science to solve complex business problems.
- Lead the team in understanding the business requirements and translating them into analytical problem statements.
- Define technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects
- Collaborate with cross-functional teams to design and implement solutions that meet business requirements
- Present the findings to senior business stakeholders in a clear and concise manner
- Manage and mentor junior data scientists through technical and professional guidance, trainings etc
- Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations.

Minimum Qualifications:

- Bachelor s degree with 5-7 years industry experience
- Proficiency in Python/R & SQL
- Experience in healthcare analytics or consulting sectors
- Experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc
- Experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (eg, creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc)
- Experience in leading small sized teams
- Strong Python/R, SQL, Excel skills
- Strong foundations of statistics and machine learning

Preferred Qualifications:

- Advanced degree in STEM (MS, MBA, PhD)
- 5-7 years in Healthcare Analytics and Consulting
- Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics
- Knowledge of statistics, data science and machine learning & commercial
- Experience of supporting End to End Project Management

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

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