Senior Scientist - siRNA Off-Target Analysis

Amgen • South San Francisco, CA

1d

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. Senior Scientist - siRNA Off-Target Analysis (TSRS) What you will do Let’s do this. Let’s change the world. In this vital role you will apply expertise in transcriptomics, computational biology, data visualization, and mechanistic interpretation to design and execute off-target assessments for siRNA experiments, and deliver weight-of-evidence reports and regulatory draft reports. You will operate with a high degree of scientific independence and will contribute to scalable analysis pipelines (e.g. siRNA off-target assessments), FAIR data practices, and AI-enabled analytical workflows. You will also contribute to data stewardship and modern computational capabilities that improve the efficiency, rigor, and reproducibility of workflows and nonclinical safety data and assessments.

Requirements

• Doctorate degree PhD OR PharmD OR MD OR Master’s degree and 3 years of experience in computational biology, bioinformatics, data science, or related discipline OR Bachelor’s degree and 5 years of experience in computational biology, bioinformatics, data science, or related discipline
• Experience supporting off-target analysis, risk assessment, or mechanistic interpretation for oligonucleotide, siRNA, or related therapeutic modalities
• Strong background in computational biology and transcriptomic data analysis in a research or drug discovery environment
• Demonstrated expertise in the analysis and interpretation of bulk RNA-seq data
• Experience with single-cell RNA-seq and proteomics analysis and interpretation
• Strong understanding of molecular and cellular biology, with the ability to translate transcriptomic findings into biologically meaningful insights
• Experience working with nonclinical safety data and familiarity with the role of toxicology in drug-development
• Strong programming expertise in Python and R, with experience developing reproducible computational workflows and analysis pipelines
• Experience applying basic statistical methods to biological datasets for analysis, interpretation, and decision support
• Experience preparing clear scientific reports and presentations for cross-functional teams and drafting regulatory documents
• Experience managing analytical data flow and implementing FAIR data principles and reproducible research practices
• Ability to work independently, manage multiple priorities, and contribute effectively in a cross-functional team environment
• Excellent communication and presentation skills, with the ability to convey complex computational and biological concepts to diverse audiences
• Experience evaluating or developing AI-enabled scientific workflows, including LLM-assisted analyses or agentic tools

Responsibilities

• Building, running, and improving scalable end-to-end computational transcriptomics assessment workflows (e.g., siRNA off-target assessment), from study intake through deliverables
• Applying transcriptomics, proteomics, biology, and fit-for-purpose statistics to identify, interpret, and clearly communicate signals and potential risk, in collaboration with TSRS Project Team Representatives
• Producing rigorous, traceable weight-of-evidence outputs (e.g., slide decks, technical summaries, and reports for regulatory submissions
• Developing and maintaining reusable computational tools and scripts in Python and R to support analysis, visualization, automation, and reporting
• Partnering closely with toxicologists, data scientists, in vitro scientists, oligonucleotide scientists, and cross-functional teams to refine analytical approaches and translate results into actionable biological insights
• Enabling reliable FAIR-aligned data/metadata flow and reproducible execution across workflows into the enterprise data fabric
• Evaluating and, where appropriate, applying AI-enabled approaches (including LLM-assisted or agentic tools) to improve analytical efficiency, consistency, and knowledge capture

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
• Number of Employees: 5,001-10,000 employees