Postdoctoral Fellow - Molecule Discovery; LMD
Listed on 2026-01-01
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IT/Tech
Data Scientist
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Join Amgens Mission of Serving Patients
At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnesses drives all that we do.
Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, youll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Postdoctoral Fellow - Large Molecule Discovery
What You Will Do
Lets do this. Lets change the world. In this vital role you will conduct & contribute to the design and execution of research projects, the analysis of data, and the preparation of scientific manuscripts to assist Amgen's pipeline.
- Develop novel and biopharmaceutical industry leading peptide, protein, antibody and multi-specific antibody MS and MS/MS analytical techniques.
- Create automated sample handling, digestion, data processing and computational workflows that will accelerate Amgens therapeutic pipeline.
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a scientist with these qualifications.
Basic Qualifications
- A doctorate degree (PhD) in biochemistry or analytical chemistry.
- A working understanding of mass spectrometry, and its application for peptide and protein analytics in a dynamic research environment.
- A working understanding of Python programming.
- A working understanding of molecular dynamics packages.
Preferred Qualifications
- 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.
- Extensive 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 datasets using statistical and machine learning techniques is desirable
- A good working knowledge and experience with scientific computing libraries such as Num Py, pandas, Sci Py, or scikit-learn will be advantageous.
- A working understanding of molecular dynamics, such as Molecular Operating Environment (MOE) and/or Schrodinger is preferred.
- Familiarity with running software in cloud computing environments is highly preferred.
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills,…
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