Postdoc Fellow - Large Molecule Discovery

Develop novel and biopharmaceutical industry leading peptide, protein, antibody and multispecific antibody MS and MS/MS analytical techniques, automation sample handling, digestion, data processing and computational workflows for high order structure determination, that will accelerate Amgen’s therapeutic pipeline

• A doctorate degree (PhD) in biochemistry or analytical chemistry
• An expert understanding of mass spectrometry, and its application for peptide and protein analytics in a dynamic research environment
• A good understanding of Python programming
• A good understanding of molecular dynamics packages

• A doctorate PhD in biochemistry or analytical chemistry, with a focus on mass spectrometry analytical and computational methods
• A deep understanding of mass spectrometric, intact and sub-unit protein RPLC-MS analyses, bottom-up RPLC-MS/MS approaches, other protein structural analytical methods and techniques for post translational modifications (PTMs) and high order structure determination and inference will be advantageous
• Experience with HDX-MS, FPOP, X-linking or other covalent labelling techniques will be advantageous
• A good understanding of protein digestion methods, sample handling, MS and LC automation and application is highly desired
• Experience with Agilent LC-ToF/Q-ToF MS, Thermo Orbitrap QExactive and Fusion Tribrid MS and Waters Q-ToF instruments are highly desired
• Experience handling and analyzing large-scale MS, MS(MS) and/or proteomics-like datasets using statistical and machine learning techniques is desirable
• A good working knowledge and experience with scientific computing libraries such as NumPy, pandas, SciPy, or scikit-learn will be advantageous
• A working understanding of molecular dynamics programs, such as Molecular Operating Environment and/or Schrodinger or structure prediction programs such as AlphaFold or ESMFold, is preferred
• Familiarity with running software in cloud computing environments is highly preferred
• Proficiency in Python or similar programming languages
• Experience working interactive data science environments and code repositories (e.g., Jupyter Notebook, Gitlab)

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible