Data Science Expert

50272 - Sr. Mgr. Data Science Expert

Who we are

Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.

The opportunity

• Looks beyond existing methodologies and own discipline to define and resolve complex problems

• Develops plans and delivers results in fast-changing businesses and/or regulatory environments

• Provides input to functional or departmental strategy

• Manages large, potentially diverse teams of managers and/or senior professionals

• May contribute directly to business priorities and planning

• Provides leadership to managers, supervisors, and/or professional staff

• Is accountable for the performance and results of multiple related units

• Develops departmental plans, including business, production, and/or organizational priorities

• Controls resources and policy formation in the area of responsibility

• Decisions are guided by resource availability and functional objectives

How you’ll spend your day

• Develop algorithms and software solutions that integrate and evaluate large datasets from multiple disparate sources, and collaboratively identify biologically and clinically meaningful insights from large data and metadata sources
• Lead and execute initiatives to apply AI and machine learning approaches to accelerate clinical trials, the areas of focus include patient recruitment, site selection, patient compliance and drop off etc.
• Interpret and effectively communicate insights and findings to product, service and business managers with great attention to detail & accuracy
• Proactively seek for new opportunities, ask the right questions, prioritize and translate the business requirements into a data science problem and solution
• Expand applications across existing and novel Analytics & Big Data domains, including structured and unstructured data, wearables, social media, free text, videos, and digital applications
• Interact in a multidisciplinary environment with internal and external stakeholders, collaborating with other members of a project team to meet scientific and technical goals
• Keep current with technology advances and competitive landscape in the digital health industry
• Agile, dynamic, quick-learning and creative personality, passionate about the intersection between digital markers and healthcare application

Your experience and qualifications

• M.Sc./Ph.D. Degree in Data Science, Machine Learning, Electrical Engineering, Biomedical Engineering, or equivalent required
• Minimum 2 years of applied technical experience in Signal Processing, machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning.
• Good understanding of clinical trial processes, protocols, and operational challenges- Must
• Extensive experience of applying AI/ML on clinical trial data, electronic health records (EHRs), or real-world data (RWD) to optimize clinical trial operation, patient recruitment and patient stratification - Must
• Good knowledge and theoretical understanding of Big Data, pattern recognition, and machine learning
• Working experience with relevant scripting and programming languages such as Python, R, Java – especially with data related libraries; Hands on experience with SQL
• Strong business orientation and problem-solving skills with great attention to details; Ability to solve complex problems using creative ideas, state-of-the-art tools and best engineering practice
• Domain knowledge and working experience in healthcare and life science is an advantage
• Publication record in Machine Learning is an advantage; Publication record in clinical studies is an advantage
• Excellent written and verbal communication skills, in both English and Hebrew