Qualifications
Responsibilities
Benefits
What you will be doing:
This position will have responsibility for conceptualizing, designing, implementing, and validating new machine learning algorithms to enhance our Clinical Decision Support Platform. This position will be a member of a multi-disciplinary team comprised of engineers and clinicians. Apply knowledge of statistics, programming, data modeling, and other data science techniques to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. This individual will be responsible for supporting analyses alongside a Sr./Principal Data Scientist and Product Directors/Senior Directors. This individual will be expected to execute complex analytic protocols under the guidance of these senior team leaders and be able and willing to gain proficiency with new methodologies over time. Deploy knowledge of healthcare datasets, including electronic health records, administrative billing, post-adjudicated claims, purchase order, and invoice datasets.
Key Responsibilities
Responsibility #1– 40%
Algorithm Development and Implementation
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
• Produce innovative solutions driven by exploratory data analysis from complex and highly dimensional datasets
• Work with developers and product engineers to translate prototypes into new products, services, and features, and provide guidelines for large-scale implementation
Responsibility #2 – 25%
Data Strategy and Design
• Participate in data exploration and conceptual design for strategic initiatives
• Apply knowledge of statistics, machine learning, artificial intelligence, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
• Generate and test hypotheses and analyze and interpret the results of product experiments
Responsibility #3 – 15%
Requirements Analysis
• Analyze business requirements, procedures, and problems, design and develop solutions for production
• Develop features and stories based on requirements to feed product backlogs
Responsibility #4 – 10%
Knowledge Sharing
• Provide data science practice advice, demonstrations and presentations to colleagues, clients, and management. Conduct research, as needed
• Provide mentoring and training
Responsibility #5 – 10%
Data Operations
• Develop project estimates and work plans
• Identifying, developing, reviewing, and evolving best practices, standards, operating procedures, and processes
• Participating in the review of team member deliverables
Required Qualifications
Work Experience:
Years of Applicable Experience - 2 or more yearsEducation:
Bachelors (Required)
Preferred Qualifications
Skills:
Apply machine learning to real world problems
Successful track record of delivering results in a complex cross-functional project
Knowledge of SQL, R and/or Python and associated scientific, data, and machine learning libraries
Experience working in one or more cloud computing environments
Software Development experience in agile environment
Workflow tools such as Luigi or Airflow
Health care research experience, with large patient data sets
Experience:
Experience with manipulating and analyzing large scale datasets
Experience applying the data science lifecycle to gain insights and perform causal inference
Experience working in remote teams
Education:
Master’s degree in an empirical field such as statistics, bioinformatics, mathematics, public health, data science, economics, engineering, physics, etc.
Additional Job Requirements:
Remain in a stationary position for prolonged periods of time
Be adaptive and change priorities quickly; meet deadlines
Attention to detail
Operate computer programs and software
Ability to communicate effectively with audiences in person and in electronic formats.
Day-to-day contact with others (co-workers and/or the public)
Making independent decisions
Ability to work in a collaborative business environment in close quarters with peers and varying interruptions
Qualified full-time and part-time employees also receive access to the following benefits:
Health, dental, vision, life and disability insurance
401k retirement program
Paid time off
Participation in Premier’s employee incentive plans
Tuition reimbursement and professional development opportunities
About Premier
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