这几年由于疫情,医药企业都在做数字化和AI,大家都开始招data scientist在这一块儿占个'先'机 (以其他行业角度看已经很晚了lol),所以短期内没有问题 -- 不论是这个方向找工作,薪水,还是企业内的positioning。长期来看取决于医药行业本身的的数字化能走到哪里,企业在这一块儿business model是否清晰 -- 好的话...
As a data scientist you'll spend a lot of time answering questions with data. I currently work as a data scientist in the healthcare industry, providing metrics and building models for hospitals and healthcare related organizations. In my practice most of my time is spent doing two things: ...
Data & Analytics in Healthcare will bring together senior cyber and information security professionals to discuss challenges and benchmark their practices against leading organisations on leadership and how cyber function is evolving, reporting risks to
They might also be asked to explore data without being given a specific business problem to solve. In that scenario, a data scientist needs to understand both the data and the business well enough to formulate questions, do the analysis work and deliver insights to business executives on possibl...
• Knowledge in process mining is a plus • Strong understanding in BI/data warehouse concepts • Team player and ability to work well in a dynamic environment • Experience working in a consulting environment preferred • Prior industry experience in retail, healthcare, logistics or TMT ...
Senior Data Scientist, Dubai Taxi Corporation(RTA)-TASC I absolutely enjoyed my classes at Simplilearn. I learned a lot of new and interesting concepts. This course covered important AI topics including, image processing, deep learning, etc. The real life examples helped us understand the concepts...
Data Scientist Full-time New York eHealth Collaborative Key Requirements: Bachelor’s degree in STEM or related field required; Master’s preferred. Experience working with cloud platforms (AWS or Azure preferred) 5+ years of related work experience in data analytics or health informatics within the...
Eugenio Zuccarelli, innovation data scientist at CVS Health VentureBeat asked Zuccarelli for his thoughts on some of the top trends he sees in the healthcare AI space. These are four he considers top-of-mind across the industry: AI-driven personalized healthcare solutions ...
Are you an experienced Data Scientist who wants to apply their expertise in machine learning and natural language processing (NLP) to the healthcare space? This is a newly created role for our first Data Scientist to join our rapidly growing Evidence Development team, with the opportunity to ...
The incorporation of data analytics in the healthcare industry has made significant progress, driven by the demand for efficient and effective big data analytics solutions. Knowledge graphs (KGs) have proven utility in this arena and are rooted in a numb