Payrate: $25.50 - $26.85/hr. Summary: The Pre-Pivotal Drug Substance Technologies organization develops, characterizes, and supports clinical drug substance manufacturing processes for all early-stage programs in the portfolio. The successful candidate will be responsible for support of the development, characterization, scale-up and support of upstream and downstream processes to enable clinical advancement of programs. Responsibilities: • The successful candidate will have a strong background in the analytics of chemical and biological datasets. Specifically, the candidate will support cross-platform analysis of bioprocessing data, build automated data pipelines and databases, and develop and deploy new analysis methods to mine and integrate internal data. • The candidate will also support the design and execution of experiments at the bench scale, including both cell culture and purification operations. • Additionally, the candidate will utilize out-of-the-box thinking to contribute to technology development, including process and data automation. Basic Qualifications: • Bachelor’s or master’s degree in chemical engineering, Biochemical Engineering, Data Science, Statistics, Applied Math, Computer Science, or other relevant science or engineering programs. Or Associate degree and 4 years scientific experience Preferred Qualifications: • Master’s degree in chemical engineering, Biochemical Engineering, Data Science, Statistics, Applied Math, Computer Science, or other relevant science or engineering programs. • Basic understanding of protein chromatography, filtration, or cell culture principles. • Prior experience with data analytical tools (Excel, Spotfire, JMP, Tableau, MATLAB, etc.) are essential. • Experience with wet-lab biological or chemical experiments is a plus. • Familiarity with the design of experiments and statistical analysis of experimental data is desirable. • Proficiency in programming languages (Python, R, SQL, VBA, etc) is desirable. • Motivated self-starter with excellent interpersonal and organizational skills. • Able to work onsite three days a week. Pay Transparency: The typical base pay for this role across the U.S. is: $25.50 - $26.85/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human-based decision making in employment decisions.  By applying for this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter. #AditiConsulting #25-21069