DSP (Downstream Process) Internship - CampinasNew

Description

Job Summary: Join our team of creative and innovative people, working on test execution, data collection, and interfacing with partners. Key Highlights: 1. Pioneers in using microbes to convert plant-derived sugars 2. Focused on renewable chemistry and sustainability 3. Inclusive culture and appreciation of diversity #### **Unlock the Chemistry of Life.****TM** At Amyris, we are pioneers in using microbes to convert plant-derived sugars into high-performance molecules at scale. Our platform unlocks access to the sophisticated and intricate chemistry found in all living systems, enabling new product possibilities, market opportunities, and sustainability solutions. With proven scale, we are redefining what renewable chemistry can achieve. Visit our website to learn more: https://amyris.com/ * Here at Amyris, we are a team of creative and innovative people. We value healthy relationships across diverse perspectives and strive to foster an inclusive culture embracing different races, ethnicities, genders, religions, people with disabilities, and the LGBTQIA\+ community. Join our team! **Responsibilities:** * Conduct bench-scale and pilot-scale tests, monitoring process steps and collecting relevant data Collect, identify, and prepare samples, ensuring they are processed according to biosafety and biological risk standards. Plan and request required analyses for samples, aligned with process needs. Compile and report test results, preparing spreadsheets and technical data reports. Interface with external partners (CMOs) and provide logistical support for withdrawal and shipment of stored raw materials and products. Assist in identifying partners for large-scale production of company products. **Requirements:** * Currently pursuing a Bachelor’s degree in Chemical Engineering. * Intermediate/advanced English proficiency. * Basic knowledge of unit operations, biotechnology, and purification processes, with focus on Downstream Process (DSP). * Familiarity with data analysis tools such as Excel, Python, or statistical software for data processing and interpretation.