Senior Scientist - siRNA Off-Target Analysis

About the role

Join Amgens 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 lie within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

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

Requirements

• Doctorate degree PhD OR PharmD OR MD OR Masters degree and 3 years of experience in computational biology, bioinformatics, data science, or related discipline
• Bachelors degree and 5 years of experience in computational biology, bioinformatics, data science, or related discipline

Qualifications

• 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
• Familiarity with the role of toxicology in drug development
• 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
• Able 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

Skills

• Expertise in computational biology and transcriptomic data analysis
• Strong background in molecular and cellular biology
• Experience with single-cell RNA-seq and proteomics analysis
• Programming proficiency in Python and R
• Experience with FAIR data principles and reproducible research practices
• Experience with AI-enabled scientific workflows

Benefits

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.

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

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.