About the company:
Artificial intelligence is revolutionizing the healthcare industry. In 5 to 10 years, hospitals, pharmacies, and physicians’ offices will operate very differently than they do today. Our client are inspired to be part of this change. As the leading innovator in pharmacy- and medication-management systems, providing services and solutions to more than 4000 hospitals worldwide, they have geared up for the health care revolution.
Job summary:
The main focus of the Data Science Innovation Team (DSIT) is to make the company’s vision of an autonomous pharmacy a reality. As a member of the DSIT, you will have autonomy to collaborate with every team in the organization, and you will be able to directly connect to decision makers without dealing with bureaucracy. You will be involved in multiple projects on various timelines. You will be expected to develop strong working relationships with various departments, to represent the DSIT, to provide direction for members of all levels and departments, and to speak about new and upcoming developments in your field.
Responsibilities
- Design, and develop cutting edge AI technologies (ML models, algorithms, etc) in medication management, patient behavioral modeling, and anomaly detection
- Work with product and design teams to plan how to shape product and communicate data insights to non-experts
- Execute cohort studies and drive analyses to understand patient’s behavior and identify opportunities for improving our product(s)
Knowledge / Skills:
- Strong background in Statistics and Machine Learning with extensive practical experiences in developing AI solutions to solve real-work problems.
- Hands-on experience with statistical analysis and data mining tools, such as R, Python, Scala, etc.
- Strong problem-solving skills with emphasis on product development
- Knowledge and experience in statistical and machine learning techniques (e.g. supervised / unsupervised learning, optimization, parametric / nonparametric modeling, Bayesian statistics, etc)
Basic Qualification
- M.S. (Ph.D. preferred) in Computer Science, Applied Mathematics or other quantitative discipline with a focus on statistical modeling, artificial intelligence, and mathematical algorithms
- 3+ years of experience in statistical modeling and developing machine learning algorithms
- Experience in handling massive datasets and expertise in big data technologies
Preferred Qualifications
- Ph.D. in Computer Science, Applied Mathematics or other quantitative discipline with a focus on statistical modeling, artificial intelligence, and mathematical algorithms
- Domain knowledge and past experiences in health care, medication management, patient care, etc.
- Experience and/or background in pharmacy informatics.
- Experience in diversion detection, opioids, or antimicrobial stewardship