At insitro, we are combining human biology at scale and machine learning to discover and develop new therapeutics. The heart of our strategy is to produce large data sets that will drive machine learning and yield key biological insights. This strategy requires a seamless, robust, and effective operation that simultaneously spans internal and partnered projects.
Reporting to the Head of Financials Operations, we are seeking a purchasing professional that is experienced in procurement for high-throughput biology operations, collaborative and versatile to join our growing team. As the first hire in this role, you will be accountable for all purchasing activities, including and not limited to: setting the strategy, implementing procedures and executing purchases, inventory management, procurement planning, and management of vendor relationships. Further, you will play a key role to support procurement, planning, and inventory processes in an ERP. The successful candidate will partner with the High-throughput Biology, Data Science and Accounting & Finance Teams and will work cross-functionally with our scientists, engineers, and operational colleagues to build the “best in class” purchasing processes and procedures to support our rapid company growth.
Your primary duties will be:
You will be joining an exciting biotech startup that has long-term stability due to significant funding, yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact across several functions and disciplines. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us in leading the way to better medicines through predictive models by integrating machine learning and biology at scale.
Nice to Have
Benefits at insitro
insitro is a data-driven drug discovery and development company using machine learning and high-throughput biology to transform the way that drugs are discovered and delivered to patients. The company is applying state-of-the-art technologies from bioengineering to create massive data sets that enable the power of modern machine learning methods to be brought to bear on key bottlenecks in pharmaceutical R&D. The resulting predictive models are used to accelerate target selection, to design and develop effective therapeutics, and to inform clinical strategy. insitro was launched in 2018 with a Series A of $100M funded by top investors including a16z, Arch Venture Partners, Foresite Capital, GV, and Third Rock Ventures. In 2019 the company announced a collaboration with Gilead Sciences in the area of NASH, a collaboration with BMS in the area of ALS, and in mid 2020, announced a Series B financing of $143M including current investors and new investors Canada Pension Plan Investment Board (CPP Investments), T. Rowe Price, BlackRock, Casdin Capital and other leading investors. The company is located in South San Francisco, CA. For more information about insitro, please visit the company’s website at www.insitro.com
Your application was submitted successfully.