Mass Spectrometry Automation Scientist for Biologics

Spectraforce

South San Francisco (CA)

Sur place

USD 120 000 - 180 000

Plein temps

Il y a 23 heures
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Résumé du poste

Spectraforce is seeking a Mass Spectrometry Automation Engineer/Scientist II to join the Bay Area Biotherapeutics group in South San Francisco. The role combines analytical instrumentation with software automation to support production and characterization of biologics.

The candidate will work on intact, reduced, and subunit MS analyses, maintain LC/MS systems, and collaborate across R&D to implement new bioanalytical technology. Strong programming and data skills are required.

Qualifications

  • Experience with MS platforms and protein characterization workflows.
  • Proficiency in data processing and bioinformatics workflows.
  • Coding or scripting ability in Python or R for automated data workflows.

Responsabilités

  • Perform MS analyses for biologics characterization (intact, reduced, subunit).
  • Maintain LC/MS equipment and troubleshoot to ensure peak performance.
  • Guide production of biotherapeutic proteins to CRO vendors and report results to partners.
  • Collaborate with MS experts and present findings to colleagues and stakeholders.
  • Contribute to method development and new bioanalytical tech assessments.

Connaissances

Mass spectrometry
Automation programming
Data analysis
Team collaboration
Communication skills

Formation

BS in Chemistry/Biochemistry
MS in Chemistry/Biochemistry
PhD in related discipline

Outils

Waters Xevo G2-XS QToF
Protein Metrics
Biosphere
Waters Connect
UNIFI
HPLC/LCMS software
Python/R scripting

Description du poste

Spectraforce is seeking a Mass Spectrometry Automation Engineer/Scientist II to join the Bay Area Biotherapeutics group in South San Francisco. The role combines analytical instrumentation with software automation to support production and characterization of biologics.

The candidate will work on intact, reduced, and subunit MS analyses, maintain LC/MS systems, and collaborate across R&D to implement new bioanalytical technology. Strong programming and data skills are required.

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