Senior Specialist, Data Science

At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world s greatest health threats.

Within our Human Health Digital, Data & Analytics organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Senior Specialist - Data Science.

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) and has hands on experience on building Gen AI based applications and systems.

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.

Key Responsibilities

• Selects analytical techniques and model methods best to solve business problems
• Ensures best practices sharing and cross the organization
• Enables delivery of data-analytics & Gen AI projects. Have deep knowledge of the companys supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies)
• Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem
• Understands the customer/stakeholders business needs/priorities and helps building solutions that support our business goals
• Leads & Participates in community of practice leveraging experience from delivering complex analytics projects.
• Designs machine learning systems and software to automate predictive model
• Transforms data science prototypes and applying appropriate ML algorithms and tools
• Develops ML algorithms to analyze large volumes of historical data to make predictions
• Establishes and manages the close relationship with customers/stakeholders

Skills

• Machine Learning
• Software Development
• Generative AI
• NLP
• Prompt Engineering
• Testing
• Software Development Lifecycle (SDLC)
• Design Applications using AWS / GCP / Azure
• Data Engineering

Specializations

• AI/ML (Machine Learning, Data Engineering, Data Science)
• Gen AI
• NLP

Minimum Qualifications:

• Bachelor s degree with 9+ years industry experience
• Proficiency in Python & SQL
• Experience in healthcare analytics or consulting sectors
• Experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.)
• Experience in leading small - mid sized teams
• Strong foundations of statistics and machine learning

Preferred Qualifications:

• Advanced degree in STEM (MS, MBA, PhD)
• 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