Master's degree in Statistics, Mathematics, Machine Learning, Physics, Data Science, or related field
6 years of large data manipulation experience with SAS or SQL
3 years of experience with life sciences data (e.g., claims, EHR)
Experience managing D&A projects for at least 1 year
Familiarity with common and advanced machine learning models
Responsibilities
Manage 2 to 3 data and analytics projects simultaneously
Guide colleagues on complex problems and typical project challenges
Oversee communication with data vendors and internal/client teams
Innovate approaches for solving life sciences problems with analytics
Lead team building through scalable coding practices
Benefits
100% telecommuting permitted
Strong commitment to mentorship and coaching
Focus on creating a highly collaborative work environment
Full Job Description
ClearView Healthcare Partners, LLC seeks Data & Analytics Engagement Managers in Newton, MA.
Responsibilities
Manage 2 to 3 D&A projects and all corresponding responsibilities at any given time
Provide Analyst/Senior Analyst/Consultant/Senior Consultant (SC) colleagues guidance on most problems
Advise SCs on typical problems that emerge through the course of typical project types
Oversee and advise on communications with data vendors/internal teams/client teams for questions related to data sets, suggestion on methodology, data nuances, etc.
Innovate project approaches and identify new life sciences problems to solve with analytics
Lead team building by making code scalable through templates, macros, or interfaces
Clearly communicate analytical techniques and findings from analyses in a non-technical way
Foster and develop a high performance, strongly collegial and collaborative environment
Exhibit exceptional project management skills including raising issues to leadership early, designing impactful internal and external agendas and avoiding 'fire drills' with teams.
Elevate quality, clarity and simplicity of team outputs with early and clear direction, hypothesis-based thinking, simplification of storylines, impact of visuals and pithiness of writing
Proactively collaborate with leadership such as engaging for thought partnership early, raising potential 'red flags' regarding client or team experience and around team performance
Consistently create a positive experience for all team members
Deal with challenging problem solving in real-time (e.g., reacting and generating hypotheses in the moment with colleagues / leadership / clients)
Invest in mentorship within and outside of the project setting and commitment to high-quality coaching
Become a standard bearer of ClearView values
Demonstrate impact to firm growth even outside of project delivery through internal initiatives and coaching/mentorship
Able to pressure test methodologies and rigor of coding and analyses across the project and pivot, as needed
Perceived as a strong role model in the organization (e.g., helping others navigate various challenges in the client setting as well as within ClearView)
Position will supervise 1 to 6 subordinates in positions of Analyst, Senior Analyst, Consultant, Senior Consultant
Qualifications
Requires a Master's degree in Statistics, Mathematics, Machine Learning, Physics, Data Science or a related field plus 6 years of related experience
Requires 6 years of experience with the following:
Working with large data manipulation in SAS or SQL interfaces
Working in one or more of the following areas
Common machine learning models (e.g. neural networks, support vector machines, decision trees)
3 years of experience working with life sciences data (e.g. closed and open claims, EHR)
1 year of experience managing D&A projects and all corresponding responsibilities at any given time
Any amount of experience with providing colleagues guidance on most problems
100% telecommuting is permitted
Ability to work 40 hours/week
Pay range is $150,000 - $170,000 per year
Applicants who are interested in this position may apply at www.jobpostingtoday.com (Ref #74291) for consideration.
What We Value
We recognize that not every candidate will meet every qualification listed. If you're excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration.
