Senior Biotech Venture Investment Associate (AI)

Growth Equity Interview Guide; San Francisco (CA); Vor Ort; USD 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Paid winter break

Comprehensive health, dental, vision

401(k) plan

Paid parental leave

Flexible working hours

Daily lunch

Zusammenfassung

Pivotal Life Sciences is seeking a Sr. Investment Associate to join our San Francisco team.

You'll evaluate clinical data and market opportunities in the biotech sector, leveraging AI to enhance investment decisions and collaborating with a talented team to shape innovative strategies. Responsibilities include analyzing market trends, building financial models, developing AI-driven investment tools, and presenting recommendations to leadership.

Qualifikationen

• PhD in Biology or related life sciences is required.
• 2–5 years of experience in venture capital, investment banking, or public investment research, especially in biotechnology.
• Familiarity with data analysis and AI applications in finance or biotech.

Aufgaben

• Analyze market trends and competitive landscapes in biotech.
• Build and maintain financial models for investment evaluation.
• Collaborate with investment professionals and data scientists.
• Help develop AI models to guide investment strategies.
• Prepare and present investment recommendations to leadership.
• Engage with industry experts and portfolio companies for insights.
• Stay updated on biotech and AI advancements.

Kenntnisse

Venture capital

Financial modeling

AI in biotech

Data analysis

Communication skills

Team player

Problem solving

Curiosity about AI

Ausbildung

PhD in Biology or related life sciences

Jobbeschreibung

Pivotal Life Sciences is seeking a Sr. Investment Associate to join our San Francisco team.

You'll evaluate clinical data and market opportunities in the biotech sector, leveraging AI to enhance investment decisions and collaborating with a talented team to shape innovative strategies. Responsibilities include analyzing market trends, building financial models, developing AI-driven investment tools, and presenting recommendations to leadership.