Associate Scientist – Digital Discovery: Antibody Bioinformatics

Career Category Scientific Job Description

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.

What you will do Let’s do this. Let’s change the world. In this vital role, you will join a collaborative Digital Discovery team of scientists who combine experimental biology with bioinformatics and data analysis to improve how biologics discovery data are generated, captured, analyzed, and reused. This bench‑proximal computational role is designed for a scientist with hands‑on wet‑lab or experimental training and demonstrated experience or training in bioinformatics, computational biology, or biological data analysis.

Working alongside experimental and computational colleagues, you will help turn complex biological data into reproducible, analysis‑ready information that supports discovery decisions. You will apply biological context to data quality and interpretation, develop or adapt practical analytical tools, and strengthen the connection between laboratory workflows, biological data, and downstream analysis.

Bioinformatics & Data Analysis Run established antibody discovery computational workflows, assess sequencing and data quality, and support downstream analysis of antibody repertoires and candidate sequences. Analyze BCR repertoire, NGS, single‑cell, protein, and associated antibody discovery datasets to characterize sequence diversity, identify antibody candidates, and support discovery decisions, with guidance from senior team members as appropriate. Develop R and/or Python scripts, analytical tools, reports, and visualizations to automate downstream BCR‑Seq analyses and enable scientists to explore, interpret, and communicate discovery results.

Biological Data Integration & Curation Organize, curate, and integrate BCR‑Seq, antibody screening, and associated experimental data and metadata to support downstream analysis, data mining, and reuse across antibody discovery programs. Work with wet‑lab scientists to ensure sample, sequencing, and antibody discovery data are captured, connected, and structured to support downstream analysis and traceability, including within platforms such as Benchling.

Experimental Partnership & Team Collaboration Apply hands‑on knowledge of molecular biology, immunology, biologics discovery, genomics, NGS, and related laboratory workflows to interpret data within its experimental context. Partner with wet‑lab and computational scientists to investigate data‑quality issues, improve experimental‑to‑computational handoffs, and help ensure experiments generate robust, analysis‑ready data. Communicate analytical findings and recommendations through clear…