AVP, Research Science and Advanced Analytics

Overview:  
The AVP, Research Science and Advanced Analytics provides strategic and operational leadership for Inovalon’s research analytics capabilities. This role leverages deep subject matter expertise to optimize client outcomes and improve internal processes.    

Duties and Responsibilities:  

• Lead and supervise a team of technical subject matter experts (SMEs) responsible for delivering analytics and research results for internal and external clients.  


• Manage analyst resource availability, planning, and allocation to optimize team performance and meet project timelines and budgets.  


• Develop and maintain expert-level knowledge of Inovalon’s products, services, and infrastructure to ensure optimal operational and financial performance.  


• Serve as thought leader and SME in optimizing research databases, programming (SQL, SAS, R, Python), data analytics, biostatistics, econometrics, and research methods.  


• Establish and enforce standards for programming, stored procedures/scripts, code documentation, and quality control processes across the analytics team.  


• Design, implement, and maintain comprehensive onboarding materials, training, and processes to ensure smooth integration of new staff.  


• Provide expert guidance and solutions to client inquiries regarding analytical methodologies, programming logic, and technical approaches.  


• Lead the development and implementation of standardized quality assurance and quality control protocols to ensure accuracy and consistency across analytics deliverables.  


• Oversee continuity planning and ensure seamless transitions in analytic workflows when project team members depart.  


• Manage and lead efforts to salvage projects experiencing changes in direction and/or quality issues, implementing corrective actions and restoring deliverable standards.  


• Contribute technical expertise to statements of work (SOW), project budgets, and research protocols as needed.  


• Anticipate and develop flexible analytic tools and models for reuse across diverse clients, including AI-driven solutions.  


• Serve as primary liaison to product and engineering teams at Inovalon on matters related to database, analytic and technical environments.  


• Mentor and develop junior staff into SMEs through formal and informal coaching.  


• Maintain compliance with Inovalon’s policies, procedures and mission statement.  


• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Employer.  

  Job Requirements:  

• 10+ years of professional experience in healthcare or pharmaceutical industries, including 5+ years in consulting.  


• 5+ years of supervisory experience leading technical analytic teams.  


• Deep expertise in advanced statistical tools, approaches, and methodologies and their application in healthcare and pharmaceutical domains, including Health Economics and Outcomes Research (HEOR).  


• Proven technical and programming proficiency across HEOR and broader healthcare analytics domains.  


• Strong knowledge of programming standards and ability to implement best practices across teams.  


• Technical proficiency in SAS, SQL, R, Python, and familiarity with Linux, Windows, Redshift, Snowflake.  


• Knowledge of System Development Life Cycle (SDLC) and ability to integrate into HEOR workflows.  


• Experienced in maintenance and evolution of analytics codebases using Git and related tooling (e.g. GitHub, GitLab, or Bitbucket), ensuring reproducibility, governance, and efficient collaboration across analytics and product teams


• Experienced in agile project management methodologies, leveraging tools such as Jira and Azure DevOps to manage backlogs, sprints, dependencies, and delivery milestones


• Demonstrated ability to manage team workload effectively, build strong team relationships, retain talent, and foster long-term engagement.  


• Ability to design, implement, and maintain comprehensive onboarding materials  and processes to ensure smooth integration of new staff.  


• Proven success in leading teams and managing multiple projects with competing priorities.  


• Exceptional analytical, problem-solving, and decision-making skills.  


• Advanced project management expertise, ensuring timely delivery of results and adherence to deadlines.  


• Proficiency in Microsoft Office Suite (PowerPoint, Excel, Word).  


• Excellent written and verbal communication skills, with ability to convey complex concepts to technical and non-technical audiences.  

Education:  

• Master’s degree or PhD in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline (or equivalent experience).