Additional qualifications and characteristics include: A minimum of 3 years of relevant investment experience; Prior experience in healthcare or MedTech, Tools or Diagnostics equity research, ideally in a buy-side or sell-side research associate role; Experience analyzing medical device, diagnostics, or life science tools companies, including procedure volumes, utilization trends, industry datasets, clinical data, regulatory pathways, and reimbursement dynamics is preferred; Financial modeling experience, including valuation frameworks for medical device, diagnostics, and tools healthcare companies; Understanding of long/short investing concepts and risk management approaches is beneficial; Strong analytical and problem-solving abilities; High level of intellectual curiosity and willingness to engage deeply with clinical, technical, commercial, reimbursement, and financial material; Strong data and technology skills, including experience using AI and tools to screen, rank, and analyze large stock universes; A willingness to lead effort to integrate AI into research processes; Sound judgment, strong work ethic, and the highest level of personal and professional integrity; Ability to work independently and make decisions in the face of uncertainty; Strong organizational skills and attention to detail; Excellent written and verbal communication skills; and. Analytical acumen and passion for markets- The ideal candidate will possess strong financial modeling skills and the ability to analyze clinical, commercial, regulatory, reimbursement, and financial datasets, while leveraging AI and data tools to drive deeper and more efficient research.