Senior Scientist: Synthetic Biology, Molecular engineering, and NGS

About the role

Amgen Protein Therapeutics is seeking a highly motivated Scientist to join our multidisciplinary team in Thousand Oaks, CA. Our group integrates protein engineering and design, synthetic biology, protein chemistry and advanced analytics to develop next-generation biologic therapeutics. You are a creative, critical thinker with a passion for innovation, with strengths in molecular biology, in vitro synthetic biology, and molecular engineering.

Responsibilities

• Deploy and execute innovative, integrated in vitro synthetic molecular biology and NGS capabilities to advance programs in Amgen’s large molecule portfolio.
• Partner with cross-functional teams to enable seamless design-build-test cycles at speed to drive iterative learning at scale.
• Collaborate to translate early-stage ideas into robust, high-throughput experimental workflows, including opportunities to contribute to automation-enabled pipelines.
• Work within and contribute towards the success of a supportive, collaborative team engaging with a deep commitment to excellence in scientific rigor and inquiry, high-quality data generation and documentation, and clear, timely and considerate communication.

Requirements

• Doctorate degree (PhD) in Molecular Biology, Synthetic Biology, Biochemistry, or a related field
• OR Masters degree and 3 years of scientific experience
• OR Bachelors degree and 5 years of scientific experience

Required Qualifications

• Strong practical and theoretical experience in molecular biology and in vitro synthetic & molecular engineering.
• Experience in Next Generation Sequencing and enzymes that act on DNA.
• Demonstrated ability to optimize complex molecular biology experiments and troubleshoot wet-lab workflows with a detail-oriented and thoughtful approach.
• Clear communicator and collegial collaborator who can work in teams to achieve excellence in fast-paced, cutting-edge laboratory environment.

Preferred Qualifications

• Experience or exposure to laboratory automation and scripting.
• Laboratory management experience, that may include equipment maintenance, reagent supply, Laboratory Information Management Systems and capacity planning.
• Experience with NGS data analysis, or high-throughput sample management and large volume data analysis and documentation.