Associate Director, Data Science (Us Or Israel)

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

Advanced Analytics & Artificial Intelligence (AAAI) data scientist will be responsible for designing, developing and delivering machine learning and AI solutions across Teva's pipeline. This role will particularly focus on clinical trial acceleration and optimization.  The successful candidate will work in strong collaboration with a multidisciplinary team of researchers to develop and apply advanced applications across Teva's core therapeutic areas.

The candidate is expected to have a deep knowledge in the field of Machine Learning, Advanced Analytics & Big Data, hands-on experience in algorithmic development and in deployment of solutions, and capability to initiate activities and work both individually and as a team member. Additionally, they should process significant experience in applying AI/ML approaches to optimize clinical trial activities, including patient recruitment, site selection, trial design, data collection and analysis. This role requires a strong understanding of the intersection between AI/ML technology and clinical operations, and the ability to innovate and implement solutions that enhance trial efficiency and effectiveness.

Travel Requirements:  minimal

Location: Remote (in the US, Eastern time zone preferred) - OR - On-Site in Israel

RELOCATION ASSISTANCE AND WORK VISA SPONSORSHIP IS NOT AVAILABLE

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

Your experience and qualifications

• Master's degree in Data Science, Machine Learning,  Electrical Engineering, Biomedical Engineering, or equivalent from an accredited college or university. (PhD preferred.)
• Minimum of 2 years of applied technical experience in machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning.
• Understanding of clinical trial processes, protocols, and operational challenges
• Experience working with clinical trial data, electronic health records (EHRs), or real-world data (RWD) and applying AI/ML approaches to improve clinical trial design, patient recruitment, site and patient selection etc.
• 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

Enjoy a more rewarding choice

We offer a competitive benefits package, including Medical, Dental, Vision, and Prescription coverage starting on the first day. We also offer Disability and Life Insurance, Paid Time Off, 13 paid Holidays, 6% match on the 401(k), Employee Stock Purchase Plan, and Tuition Assistance.

Reports To

Head of Advanced Analytics and Artificial Intelligence

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