Characterization Scientist Characterization Scientist Eurofins In-person · Andover, MA, US abou
Listed on 2026-06-21
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Research/Development
Research Scientist, Data Scientist -
Healthcare
Data Scientist
The Characterization Scientist will contribute to the formulation and process development of biotherapeutic products. This laboratory-based role is responsible for performing analytical testing and comprehensive characterization of candidate molecules using a range of biophysical, biochemical, and particulate characterization techniques. The position also supports routine laboratory operations and maintenance.
This role supports biotherapeutic products across the development lifecycle, from preclinical and Phase I clinical trials through late-stage development, license application, and commercialization. Additional responsibilities include data compilation, preparation of presentations and reports, and support of departmental documentation.
ResponsibilitiesKey responsibilities include, but are not limited to:
- Support the development of parenteral formulations for a variety of biotherapeutic modalities, including monoclonal antibodies, antibody–drug conjugates, proteins, mRNA, and vaccines.
- Perform rapid and comprehensive characterization of candidate molecules to assess stability profiles using biophysical, biochemical, and particulate characterization techniques, including:
- HPLC methods (SE-HPLC, IEX, HIC, RP-HPLC)
- Capillary Gel Electrophoresis (CGE)
- Imaged Capillary Electrophoresis (iCE)
- Spectroscopic techniques
- Light obscuration and microflow imaging
- Additional analytical characterization methods as needed
- Provide general laboratory support, including reagent and consumable ordering, equipment maintenance, continuous improvement activities, and participation in periodic laboratory inspections.
- Collaborate effectively with a multidisciplinary team of scientists to support formulation optimization and overall candidate progression.
- Prepare data summary presentations, support data verification activities, compile and manage datasets, and utilize laboratory data systems such as Empower and electronic laboratory notebooks (ELNs).
- Communicate effectively with laboratory scientists, project managers, and cross-functional colleagues.
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