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
