Research Analyst III (HEO)

Research Analyst III (HEO)

Work mode: Hybrid Onsite Location(s): Arden Hills, MN, US, 55112 Additional Location(s): US-MN-Arden Hills; US-MA-Marlborough Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career.

About the role: The Health Economics and Outcomes Research (HEOR) Analyst III position will be part of the Health Economics and Market Access (HEMA) Data and Analytics team within Boston Scientific. The selected candidate will assist on projects such as reimbursement analysis, payment policy analysis, valuation studies and development of related internal tools to support the Boston Scientific business units and their products through the HEMA teams.

Work Mode This role follows a hybrid work model, requiring employees to be located at either our Arden Hills, MN or Marlborough, MA office at least three days per week. Visa Sponsorship Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position.

Your responsibilities will include: Assistance with a variety of projects including: government and private payer reimbursement policy research and rate analysis, querying claims data to analyze medical costs and outcomes and support economic modeling for existing and emerging technologies, and analytical support for value-based contracting opportunities. Specific projects may include: Analyzing large claims data sets and identifying and interpreting patterns and trends in the data to support to BSC business needs Preparing financial models and projections including models that display the impact of interventions and technologies on providers and payers Maintenance of tools, data objects, and reports to support business unit objectives Modify existing programs to meet additional business requirements Conducting research on government and private payer policies Cultivating and managing relationships with business units and other internal customers, with direct ownership of at least one business unit relationship Project managing analytical projects, including scoping, timeline planning, execution, delivery, customer communications, and presentations Preparing summaries of analyses including project objectives, approach, and results Adhere to data privacy and regulatory guidelines, ensuring the ethical and secure handling of sensitive healthcare information Assist with data management procedures and documentation Maintain high standards for data quality, reporting, and timely project execution

Required qualifications: Bachelor's degree preferably with coursework in one of the following areas: health economics, public health, epidemiology, health care administration, statistics, data science, business analytics, computer science, data engineering 2+ years of work experience in the healthcare industry (preferrably working with medical claims data) Intermediate or advanced SQL programming and data analysis experience Strong analytical skills and detail-oriented Enthusiastic and self-motivated Ability to work well in a team environment but can also work independently after initial guidance Time management skills with ability to manage multiple internal client-related priorities Strong written and verbal communication skills

Preferred qualifications: Accustomed to writing SQL queries with common table expressions (CTEs) Snowflake experience Experience working in medical device market access Familiar with Medicare reimbursement and policies Proficiency with Microsoft Office Suite, including Excel and PowerPoint Other programming (e.g., R, Python) experience a plus Master's or other graduate degree in one of the following areas: health economics, public health, epidemiology, health care administration, statistics, data science, business analytics, computer science, data engineering Medical coding experience is beneficial