Job Description
General description:
Advanced Analytics & Artificial Intelligence (AAAI) data scientist will be responsible to design, develop and deliver machine learning and AI solutions across Teva's pipeline. 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.
Major Duties & Responsibilities:
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
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
Qualifications
M.Sc./Ph.D. Degree in Machine Learning, Electrical Engineering, Biomedical Engineering, or equivalent required
Minimum 3 years of applied technical experience in machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning.
Expert knowledge and theoretical understanding of Big Data, pattern recognition, and machine learning
High 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 pre-clinical and clinical studies is an advantage
Excellent written and verbal communication skills, in both English and Hebrew
https://careers.teva/job/Netanya-1111/725351900/