Sr. Scientist – Bioinformatics, Computational Biology, Proteomics

About the role

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.

Responsibilities

• Enable Amgen’s preclinical pipeline through the delivery of innovative technologies and technical expertise.
• Develop and implement 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, and utilize available external resources where appropriate.

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

Qualifications

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

Skills

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

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.

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.

Schedule

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.