Investment Analyst/Associate

Pivotal Life Sciences

San Francisco, CA, USA
Posted on October 16, 2023

Company intro

If WHO you work for & with and WHY your company exists is at the top of your list of criteria for choosing your next opportunity, we encourage you to take a look at the roles we are hiring for at Pivotal Life Sciences (PLS) and join our growing team of scientists, physicians, data scientists, and engineers working together toward a common goal—the health and care of the patient. We’re looking for people to not only join us—but to be a big part of the solution. To do more and be more. To do well and do good. If you have the ability to see the bigger picture and bring it to life, let’s connect!

Pivotal Life Sciences (“PLS”), a part of the Nan Fung Group, is a global investment platform focusing on the life sciences. Leveraging on Nan Fung Group’s strong capital base and long-term commitment to the space, the company aims to become the ideal partner for scientists, entrepreneurs, corporations, and investors in the life science space. Through direct investments via Pivotal bioVenture Partners funds (both in US and China) and fund investments covering the full spectrum of the industry (including therapeutics, medical devices, and diagnostics) and across different development stages, Nan Fung Life Sciences has significant presence in both US and Greater China. Learn more at

Locations: San Francisco, CA, USA

Position Overview:

Pivotal is seeking a highly motivated Investment Analyst to join our dynamic team. Exceptional candidates with the relevant experience can also be considered as an Associate. This role is a unique position supporting the biotech venture capital investment team. The role will be responsible for supporting the senior investment team in evaluating investment opportunities in the biotechnology space, including conducting scientific, competitive, and financial due diligence. The candidate will also contribute to the data science and analytics efforts to advance our AI platform. This is an exceptional opportunity to work at the intersection of the life sciences, finance, and technology.


  • Conduct investment research, analysis, and due diligence on new and existing biotech investment opportunities.
  • Develop investment recommendation memos and present findings to the investment team.
  • Conduct scientific and financial due diligence, including interpreting scientific publications and medical conference presentations.
  • Build, update, and maintain financial models for investment opportunities.
  • Work closely with investment partners, scientific advisors, and key opinion leaders to develop insights.
  • Collaborate with investment members, researchers, data scientists, and software engineers to develop an AI and analytics platform.
  • Contribute to the development on AI algorithms and models.
  • Benchmark, evaluate, and document the performance of the data initiatives and provide recommendations for continuous improvement.


  • Bachelor’s Degree from an accredited university is required.
  • 1 – 3 years of experience in finance at an investment bank (buy or sell side), hedge fund, venture, or private equity firm. Experience in biotech consulting or a related field also considered. Focus should ideally be in the biotechnology sector, but highly qualified candidates from other disciplines will also be considered.
  • Knowledge of the drug development process.
  • Competency in data analysis, financial modeling, and statistics.
  • Strong verbal and written communication skills.
  • Ability to work independently as well as within a team and manage multiple projects simultaneously.
  • Strong work ethic, detail-oriented, and a passion for learning.
  • Strong research, writing, and analytical capabilities.
  • Self-starter who is comfortable working with ambiguity.
  • Detail-oriented with strong project management skills.
  • Willingness to perform duties outside of the job description as part of a dynamic team.

Preferred qualifications (not required):

  • Basic data science competency, ideally including experience with coding (python, etc.), machine learning, and/or large language modeling.
  • Advanced Excel skills.
Company logo


Get My Best Growth Equity Interview Tips

No spam ever, unsubscribe anytime