Equity Research Associate, Biotechnology

About the Role

Guggenheim Securities is seeking an exceptional candidate to join as a sell-side Equity Research Associate to cover the Biotechnology sector. This role involves following public/private Biotechnology companies and supporting the research team in analyzing companies and making stock recommendations to institutional investor clients. The ideal candidate will have a background in the life sciences with an interest in equity research and financial modeling, specifically in the Biotechnology sectors, with a focus on rare disease and gene therapies.

Location: New York or Boston

Key Responsibilities

• Provide support to the Senior Analyst through fundamental analysis and investment research in equity markets, with an emphasis on original, bottom-up research in the Biotechnology sector.
• Analyze individual Biotechnology companies to build and update fully integrated financial and valuation models.
• Write comprehensive research reports and present findings; draft reports/notes on relevant investment themes, events, and breaking news.
• Conduct primary research through industry sources, including financial analysis, due diligence on clinical data and industry trends, and company management and strategies.
• Organize physician calls for investors and investor events.
• Update analyst marketing handouts regularly.
• Interact with the Firm’s institutional sales force and investor clients.
• Respond to client and internal inquiries regarding research findings and directives.

Requirements & Tech Stack

No specific tech stack or programming languages are explicitly required in the basic qualifications.

Qualifications

• Exceptional academic pedigree, including a higher degree in a life science field (PhD).
• Ability to search, understand, and interpret scientific and medical publications and presentations.
• Interest in equity research and financial modeling, specifically in the Biotechnology sectors with a focus on rare disease and gene therapies.

Preferred Qualifications

• Experience in PK/PD modeling, statistical modeling, clinical trial design and analysis is preferred.
• Knowledge of programming languages such as R and Python is a plus.
• Prior experience in drug development and PK/PD optimization is preferred.
• Exceptional analytical, verbal, and written communication skills.

Salary

• Annual base salary between $140,000 and $165,000.

The base salary range represents the low and high end of the anticipated base salary range for this position. Actual base salaries may vary depending on factors such as location and experience. The range listed reflects base salary only, and the total compensation package may include other components such as incentive compensation.