Specialist Data Science

Job Description

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 commercial Insights, Analytics, and Data 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 Specialist - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. 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 (e.g., 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) 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 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Brand Strategy, Business, Business Intelligence (BI), Business Management, Critical Thinking, Data Analysis, Database Design, Data Engineering, Data Interpretations, Data Modeling, Data Science, Data Visualization, Digital Analytics, Healthcare Project Management, Human Diseases, Immunotherapy, Machine Learning, Oncology, Product Commercialization, Project Human Resource Management, Social Collaboration, Software Development, Stakeholder Relationship Management, Technical Requirements, Waterfall Model Preferred Skills: Job Posting End Date: 06/30/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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