Senior Scientist - siRNA Off-Target Analysis

Amgen
Thousand Oaks, United States of America
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Thousand Oaks, United States of America

Tech stack

Artificial Intelligence
Data analysis
Bioinformatics
Computational Biology
Computer Programming
Decision Support Systems
Python
Knowledge Management
Large Language Models

Job description

  • 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, 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, * 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

Benefits & conditions

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.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and 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. Refer to the Work Location Type in the job posting to see if this applies.

About the company

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do. Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll 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 Lets do this. Lets 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., 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., We are all different, yet we have this in common: our mission to serve patients. This sense of shared purpose is key to our becoming one of the world's leading biotechnology companies. It guides us as we continue to launch new medicines and reach millions of patients worldwide. We live the mission. We win together. We thrive on continual challenge. Our team of 22,000+ scientists and professionals worldwide bring distinct perspectives and experiences to all we do. We leverage our global talent to achieve together-to research, manufacture and deliver ever-better products and greater depth to our mission. At Amgen, there is a strong correlation between our high level of diversity and performance. Because addressing issues with a wider range of perspectives and approaches leads to more creative problem-solving. Together, we're transforming the promise of science and biotechnology into therapies that have the power to restore health. Connect with us to explore how you can Win, Live, and Thrive at Amgen.

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