We are looking for an engaged and enthusiastic researcher with analytical chemistry/biochemistry experience to join our growing Analytical Services team. Working closely with scientists in our development group, this candidate will take a lead role in optimizing, running and interpreting data from a variety of assays to characterize our lead candidate materials. If you are comfortable in a cross-functional role, know how to excel as part of a diverse team, and are excited about working on state-of-the-art biological drug delivery methods, please keep reading!
- As part of a cross-functional team, optimize and execute a variety of HPLC/UPLC/LCMS methods to assess the purity and integrity of proteins and nucleic acid molecules (natural and synthetic, short and long, RNA and DNA);
- Execute studies to characterize raw, in-process and final materials in support of our lipid nanoparticle (LNP) delivery vehicles;
- Execute and/or analyze in vitro activity/potency assay samples to inform and propel our lead candidate programs;
- Assist in the strategic planning and streamlining of internal processes to track and document sample testing across multiple programs and platforms;
- Write, prepare and present technical data to enable cross-functional understanding of analytical methods developed in-house and through strategic collaborations;
- Work with limited supervision in a collaborative, fast-paced environment to solve complex analytical challenges at the forefront of base editing technology.
- MS or BS/BSc in Pharmaceutical Sciences, Chemistry, Chem Eng/Bioengineering and/or related subjects;
- 0 – 3+ years of experience in a Pharmaceutical organization (including CROs/CMOs) in an analytical function;
- Understanding of analytical requirements to support different molecular (protein, mRNA) and delivery (AAV, LNP, CAR-T) types;
- Hands on experience executing HPLC/UPLC, LCMS, CE, DLS and/or other methods highly valued;
- We are looking for an independent thinker who can effectively and concisely communicate complex scientific results and justify the path-less-taken when needed.