3 Science jobs

Job description Plan,manage, organize and coordinate Laboratory services.  Subject matter expert and the technical resource for the region in designated specialized area. Responsible for the design and oversight of highly reliable laboratory operations including accountabilities for quality of care, member experience, affordability, standard work and employee experience and competence. Accountable for role modeling principles defined in KP Mission and Standards and creating a culture of compliance, ethics and integrity. Essential Responsibilities: Exceptional Care and Service Lead and manage technical, clinical, and operational aspects of the laboratory and pathology services.  Monitor test results, equipment, and laboratory information systems.  Perform, assist and support functions within laboratory as needed. Promote an organizational culture of safety and ensure appropriate patient safety. Design/evaluate processes to ensure...

Job description Plan, manage, organize and coordinate Laboratory services.  Subject matter expert and the technical resource for the region in designated specialized area. Responsible for the design and oversight of highly reliable laboratory operations including accountability for quality of care, member experience, affordability, standard work and employee experience and competence. Accountable for role modeling principles defined in this company's Mission and Standards and creating a culture of compliance, ethics and integrity. Essential Responsibilities: Exceptional Care and Service. Lead and manage technical, clinical, and operational aspects of the laboratory and pathology services.  Monitor test results, equipment, and laboratory information systems.  Perform, assist and support functions within laboratory as needed. Promote an organizational culture of safety and ensure appropriate patient safety. Design/evaluate processes to...

Job description • Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline. • 2-5 years practical experience working as a data scientist applying machine learning to real-world problems • Great communication skills to articulate technical aspect of model development to internal and external customers • Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc • Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras • Proficiency in using query languages such as SQL • Good applied statistics skills, such as distributions, statistical testing, regression, regulation • Logical, evidence-based problem solving and critical thinking skills....