About the job
About Arc Institute
The Arc Institute is at the forefront of basic science and technology development, dedicated to unraveling complex human diseases. Located in Palo Alto, California, we are an independent research organization that partners with leading institutions such as Stanford University, UCSF, and UC Berkeley. Our mission is driven by a belief in innovative institutional models to propel groundbreaking research.
We recognize that while traditional university research has achieved great success, there is immense potential in institutional experimentation. Our unique approach includes:
- Funding: We provide complete funding for Core Investigators’ research teams, freeing scientists from the constraints of project-based external grants.
- Technology: As biomedical research evolves, our Technology Centers focus on developing, optimizing, and implementing cutting-edge experimental and computational technologies in collaboration with Core Investigators.
- Support: We strive to offer unparalleled operational, financial, and scientific support, empowering scientists to pursue high-risk, high-reward research that could lead to significant advancements in cures for diseases such as neurodegeneration, cancer, and immune dysfunction.
- Culture: We understand that a thriving culture is essential in science. Our aim is to foster an environment centered around scientific curiosity, unwavering commitment to truth, ambitious goals, and collaborative teamwork.
Having grown to nearly 300 staff members with over $650 million in committed funding, and equipped with a state-of-the-art laboratory facility in Palo Alto, Arc Institute is poised for rapid growth in the upcoming years.
About the Position
We are searching for a proactive and analytical FP&A Manager to join our Financial Planning & Analysis (FP&A) team. In this vital role, you will collaborate closely with key budget owners in our Technology Centers and Core Labs, leading the annual budgeting process, conducting project-specific forecasting, and influencing strategic decision-making. The ideal candidate will have a robust foundation in financial modeling, relevant experience in a scientific organization, and a proven track record of translating data into actionable insights for our leadership team.