Process Development Associate

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Description
The Pre-Pivotal Drug Substance Technologies organization at develops, characterizes, and supports clinical drug substance manufacturing processes for all early-stage programs in the portfolio.

This hybrid position is located at our Thousand Oaks, CA site. 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.

This role is in an integrated bioprocess development group in which cell culture and purification scientists work together to advance rich, exciting and dynamic pipeline. With biology first approach, the position provides the unique opportunity to work on multiple modalities including antibodies, BiTEs, oncolytic viruses, bispecifics, and siRNAs.

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:
Bachelors or masters 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:
Masters 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.