Sr. Scientist – Bioinformatics, Computational Biology, Proteomics

Amgen • South San Francisco, CA

7d • $146,404 - $198,076

About The Position

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 lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Amgen is seeking a hands-on bioinformatician to develop computational tools and data infrastructure to support the Discovery Proteomics Group. The successful candidate will combine strong scientific expertise in proteomics, bioinformatics, and drug discovery with software engineering skills to understand experimental and discovery needs and translate them into fit-for-purpose computational solutions. In this vital role, they will conduct statistical analysis, data ingestion, database and tool development, and computational pipeline implementation for proteomics data to support biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies. The successful candidate will join the Discovery Proteomics group at our South San Francisco campus.

Requirements

• Doctorate degree OR Master’s degree and 3 years of scientific experience OR Bachelor’s degree and 5 years of scientific experience.
• PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology.
• Expertise in large-scale quantitative proteomics and other omics data analysis.
• Fluency in Python, R, and SQL, and familiarity with analytic techniques/packages necessary for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning approaches.
• Working knowledge of Unix/Linux and cloud computing (AWS) environments.
• Experience in version control, Docker containers, and other best practices for coding project management, reproducible data analysis, and documentation.
• Strong background in biology or chemistry, especially as it pertains to human diseases in the fields of Immunology, Oncology, Inflammation, and Cardiometabolic Disease.
• Proven track record of independent critical thinking and scientific achievement.
• Strong verbal and written skills, and an ability to work independently as well as in small teams.
• Willingness and ability to collaborate effectively across different scientific disciplines and with colleagues in cross-functional teams.

Nice To Haves

• Familiarity with deep learning packages is a plus.
• Experience in meta-analysis with publicly available large proteomics studies (e.g., GTEx, CPTAC) is a plus.

Responsibilities

• Development and implementation of data analysis, management, and visualization strategies for complex datasets generated by mass spectrometry and other technologies.
• Work closely with scientists from different functions and therapeutic areas.
• Deliver and present analysis results to key stakeholders.
• Collaborate across both genomic and proteomic platforms for data integration and mining.
• Utilize available external resources where appropriate.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior