Senior Scientist – Research Computational Biology Platforms (ARIA)

Amgen•Boston, MA

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. 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. Senior Scientist – Research Computational Biology Platforms (ARIA) What you will do Let’s do this. Let’s change the world. The ARIA Computational Biology team is seeking a talented and creative computational biologist to further our mission of serving patients by advancing and replenishing the Amgen therapeutic pipeline. In this vital role, you will apply your expertise in data science and mechanistic disease biology to develop innovative methods and platforms that accelerate the identification, prioritization, and validation of transformative therapeutic targets within a dynamic, cross-functional research environment. Focus areas include: Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities. Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas. Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team. Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts. Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms. Training and mentoring other scientists in the use of advanced research tools and platforms.

Requirements

PhD in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable] OR Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience OR Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience

Nice To Haves

Strong programming expertise in Python and R, with proficiency in Linux/Unix environments, cloud computing, HPC, and collaborative development practices (e.g., Git).
Experience developing complex computational tools and visualizations that translate biological insights into actionable strategies.
Experience developing and deploying computational tools and pipelines, including use of workflow management systems (e.g., Nextflow), CI/CD practices, and interactive visualization tools (e.g., Shiny/Streamlit).
Strong background in molecular and systems biology.
Demonstrated expertise in the analysis and interpretation of single-cell omics data.
Experience leveraging and fine-tuning transcriptional foundation models, large language models (LLMs), and biomedical knowledge graphs to advance research objectives.
Familiarity with high-value public data resources (e.g., DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) used to complement and enhance analyses of internal datasets.
Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences.
Self-motivated, collaborative, and committed to continuous learning and growth.

Responsibilities

Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities.
Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas.
Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team.
Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts.
Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms.
Training and mentoring other scientists in the use of advanced research tools and platforms.

Benefits

health and welfare plans for staff and eligible dependents
financial plans with opportunities to save towards retirement or other goals
work/life balance
career development opportunities that may include:
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.

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