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Data Scientist, Population Health - Remote Nationwide Position
Company: Empiric Health
Location: Nationwide, US
Employment Type: Full Time
Date Posted: 11/23/2020
Expire Date: 01/23/2021
Job Categories: Information Technology
Job Description
Data Scientist, Population Health - Remote Nationwide Position
As a Data Scientist on the Empiric Health team, you will be expected to work on new and existing projects, function independently within a fast-paced environment, work on several different projects/tasks concurrently and serve as a data science expert to both internal and external stakeholders. Projects will involve analytics and data visualization, management of AI rule-based systems and the creation and management of Machine Learning predictive models. This role requires critical thinking, problem solving, a mastery of statistical analytics, and experience with Machine Learning principles. The data scientist will have the ability to conceptualize AI/ML solutions, extract and engineer relevant features, manage AI/ML systems using Python and work with clinical experts to evaluate. The data scientist will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Experience in population health data science or biostatistics applied to healthcare projects is of particular interest.

Your responsibilities will include:
• Independently contributing to projects and solution development from beginning to end
• Collaboratively working with data engineers, clinical teams, and business stakeholders gathering requirements, retrieving data, and ensuring validity of results
• Researching best practices, tools, frameworks, etc. for data science and healthcare informatics. Approving selection in collaboration with other key staff.
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Build, train, evaluate and deploy Machine Learning solutions
• Generate actionable insights for business improvements
• Clearly communicate scope, limitations, & implications of developed solutions
• Critical evaluation of the validity and reliability of developed solutions
• Provide clear documentation of final project processes
• Engage with team members to troubleshoot or assist with tool adoption

In this role, you’ll spend the majority of your time dedicated to our internal development projects. While most of this work will be remote, you may need to travel to the client site or an office location on occasion (less than 10% travel in total can be expected).

Qualifications & Requirements
You already have the ability to:
• Partner with others in a team-oriented environment and demonstrate a flexible, learning mindset
• Develop and maintain trust-based relationships with a wide variety of stakeholders
• Understand healthcare data, including experience in clinical and supply chain
• Effectively participate in conversations with individuals and groups, in person and remotely
• Utilize problem-solving skills to apply knowledge outside of one’s own immediate past experience and areas of expertise
• Apply strong critical thinking skills to develop solutions that address needs
• Manage your time and responsibilities effectively
• Regularly communicate with appropriate stakeholders managing timelines and expectations
• Self-motivate and self-manage in a remote, but team-oriented, work environment
• Effectively use typical MS office and engagement management tools
• Be comfortable with ambiguity. We are a start-up environment and our client situations are highly variable

You have the following education, qualifications, and certifications:
• Bachelor's Degree required, Advanced degrees or Certificates preferred

You have experience that looks a lot like:
• 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of inferential statistics, predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Experience applying principles of biostatistics towards healthcare projects preferred
• Data analysis and problem-solving experience required
• Strong Python, SQL/PostgreSQL experience required
• Fluency in a programming language (Python, C,C++, Java)
• Excellent problem-solving, analytical and organizational/prioritization skills required
• Experience in Population Health Data Science strongly preferred
• Extensive knowledge of healthcare data, including clinical and financial preferred

Contact Information
Contact Name: Lauren McSwain
Company Name: Empiric Health
Contact Email: lauren.mcswain@empirichealth.com
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