- 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
Skills Required
Ml, Data Science, Excel, Python, Sql