Senior Scientist, LC-MS & ADC Analytics

Planet Pharma

Boston (MA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Planet Pharma is seeking a Senior Scientist with expertise in LC-MS-based antibody/protein characterization and bioanalytical quantitation to support oncology drug discovery.

The successful candidate will perform hands‑on analytical research focused on antibody conjugates, antibodies, and small molecules using LC-MS and HPLC technologies to develop, optimize, and apply analytical methods that support discovery and early development programs.

Qualifications

  • Ph.D. or equivalent degree in Analytical chemistry or a related field with minimum 5 years’ experience, MS degree with 8 years’, or BS degree with 11 years’.
  • Industry experience in analytical chemistry within the biopharmaceutical or pharmaceutical industry.
  • Hands-on experience with protein and bioconjugate characterization using LC-MS, UV-Vis, and HPLC.
  • Experience with protein sample preparation techniques, including de-glycosylation, reduction, and enzymatic digestions of ADCs.
  • Working knowledge of chromatographic methods, including SEC, HIC, and reverse-phase HPLC.
  • Experience operating, maintaining, and troubleshooting LC-MS and HPLC instrumentation.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Ability to manage multiple priorities and work independently in a fast-paced environment.
  • Excellent written and verbal communication skills, with the ability to present scientific data to multidisciplinary teams.
  • Demonstrated ability to collaborate effectively with cross-functional teams, including chemists, protein engineers, and biologists.
  • Scientific curiosity, a passion for innovation, and enthusiasm for evaluating and implementing emerging analytical technologies.
  • A publication record in peer‑reviewed scientific journals is desira

Responsibilities

  • Perform analytical characterization and quality control of ADCs, antibodies, and small molecules using LC‑MS and HPLC techniques, including: Intact mass analysis, de‑glycosylation and reducing LC‑MS, Drug‑to‑antibody ratio (DAR) determination, HPLC methods such as size exclusion chromatography (SEC), hydrophobic interaction chromatography (HIC), and reverse‑phase (RP), peptide mapping (a plus).
  • Prepare and analyze samples from purified proteins and biological matrices, including plasma, serum, and tissues.
  • Identify and characterize ADC metabolites from in vitro and in vivo studies using analytical techniques such as affinity capture, forced release, MS/MS, and SIM‑MS.
  • Develop, optimize, validate, and troubleshoot analytical methods to improve performance and resolve technical challenges.
  • Operate, maintain, and troubleshoot analytical instrumentation, such as Thermo Vanquish UHPLC‑Orbitrap MS, Waters Acquity UPLC‑SQD MS, Agilent HPLC, and UV‑Vis systems.
  • Evaluate and recommend new analytical technologies and instrumentation to expand internal capabilities.
  • Document experimental work in electronic laboratory notebooks (ELNs), maintain analytical databases, and prepare technical reports and project summaries.
  • Present experimental results and scientific findings to multidisciplinary project teams.
  • Contribute to laboratory operations by maintaining shared equipment, supporting laboratory organization, and improving analytical workflows and efficiencies.

Skills

LC-MS analysis
HPLC techniques
Analytical chemistry
Team collaboration
Scientific communication

Education

Ph.D. in Analytical Chemistry
MS in Analytical Chemistry
BS in Chemistry

Tools

Thermo Vanquish UHPLC-Orbitrap MS
Waters Acquity UPLC-SQD MS
Agilent HPLC
UV-Vis spectrometry

Job description

Planet Pharma is seeking a Senior Scientist with expertise in LC-MS-based antibody/protein characterization and bioanalytical quantitation to support oncology drug discovery.

The successful candidate will perform hands‑on analytical research focused on antibody conjugates, antibodies, and small molecules using LC-MS and HPLC technologies to develop, optimize, and apply analytical methods that support discovery and early development programs.

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