About the role
Position Overview: Pivotal Life Sciences is seeking a highly motivated Investment Associate to join our dynamic investment team. This role uniquely integrates finance, therapeutics investment research, and artificial intelligence within the biotechnology sector, focusing on leveraging data science to enhance investment decisions. The ideal candidate will possess a solid background in finance, investment analysis, and a strong understanding of AI applications in financial contexts.
What they're looking for
- Education: Advanced degree (PhD) in Biology or a related life sciences field required
- Work Experience: 2-5 years of relevant work experience in venture capital, investment banking, or buy or sell side public investment research, with a focus on biotechnology (ideally therapeutics) preferred
- AI and Data Science Skills:
- Basic programming skills in Python or similar languages are a plus
- Financial Acumen: Strong understanding of financial modeling, valuation techniques, and investment analysis
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences
More about this role
Investment – San Francisco, California (Hybrid)
Job Title: Investment Associate/Sr. Investment Associate
Position Overview: Pivotal Life Sciences is seeking a highly motivated Investment Associate to join our dynamic investment team. This role uniquely integrates finance, therapeutics investment research, and artificial intelligence within the biotechnology sector, focusing on leveraging data science to enhance investment decisions. The ideal candidate will possess a solid background in finance, investment analysis, and a strong understanding of AI applications in financial contexts.
- Investment Analysis: Conduct thorough market research, competitive analysis, and due diligence on investment opportunities in the biotechnology sector, focusing on AI-driven insights.
- Financial Modeling: Build, update, and maintain comprehensive financial models to evaluate the viability of potential investments, incorporating AI techniques where applicable.
- Collaboration: Work closely with senior investment professionals, data scientists, and software engineers to integrate AI and analytics into investment processes and decision-making.
- Data Science Contribution: Contribute to the development...
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