המקום בו המומחים והחברות הטובות ביותר נפגשים
Job Description
This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Chronic Care, etc.) and Domain areas (Patient Analytics, Segmentation, 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 “Brand Strategy and Performance Analytics - Pharma & Rare Disease” Space, 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.
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
Minimum Qualifications:
· Bachelors degree with at least 0-2 years industry experience (experience requirement can be waived off for exceptional candidates)
· Strong Python/R and SQL skills
· Strong foundations of statistics and machine learning
Preferred Qualifications:
· Advanced degree (MS, PhD) in a quantitative science or health field (e.g., computational biology, epidemiology, biostatistics, statistics, mathematics, physics, economics)
· 1-2 years experience in healthcare analytics and consulting
· Familiarity with Real-World and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.)
· Experience in Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.)
· Proficiency in Microsoft Excel and PowerPoint, and familiarity with Dataiku
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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