Senior Scientist - Experimental Protein Design for Target Discovery

About the role

Join Amgen's Mission of Serving Patients. At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas—Oncology, Inflammation, General Medicine, and Rare Disease—we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity‑related conditions. As a member of the Amgen team, you'll 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 lie within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Responsibilities

• Translate computational protein designs into experimentally testable minibinders and antibodies across multiple targets in parallel.
• Lead high‑throughput workflows for binder expression, purification, and characterization, including development of cellular assays for binder‑target evaluation.
• Partner with molecular biology teams to establish construct generation and binder library production workflows, enabling both individual binder characterization and scalable pooled library screening.
• Develop strategies to format de novo binders into appropriate modalities (e.g., multispecifics) to enable testing of biological hypotheses.
• Analyze and interpret experimental data to guide iterative design‑build‑test cycles.

Qualifications

Basic Qualifications: Doctorate degree (PhD, PharmD, or MD) with relevant post‑doctoral experience in Protein Engineering; OR Master's degree and 3 years of Protein Engineering experience; OR Bachelor's degree and 5 years of Protein Engineering experience.

Preferred Qualifications:

• Ph.D. in Biochemistry, Protein Engineering, Bioengineering, Structural Biology, or a related field plus relevant postdoctoral experience.
• Demonstrated experience in the expression, purification, and biochemical or biophysical characterization of engineered proteins (antibodies, minibinders, or other designed scaffolds) in a high‑throughput or library‑based manner.
• Experience with different expression hosts (cell‑free expression, E. coli, and mammalian) is a plus.
• Experience in binder hit validation using flow cytometry and SPR, and in developing cellular‑based assays for functional characterization.
• Experience working with designed binders or protein‑protein interaction engineering, with working knowledge of protein structure‑function relationships.
• Experience and interest in collaborating with computational protein design teams and translating in silico designs into experimentally testable reagents.
• Experience with automation platforms and high‑throughput experimentation is a plus.
• Experience supporting phenotypic screening, receptor biology, or early target characterization is a plus.
• Strong organizational and communication skills, with the ability to work effectively in cross‑functional discovery teams.

Benefits

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions.
• Group medical, dental, and vision coverage.
• Life and disability insurance.
• Flexible spending accounts.
• Discretionary annual bonus program (or sales‑based incentive plan for field sales representatives).
• Stock‑based long‑term incentives.
• Award‑winning time‑off plans.
• Flexible work models where possible.
• Work/life balance and career development opportunities.

Pay

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, experience, and qualifications.