
Multinational biopharmaceutical company.
Senior Scientist – Digital Discovery: AI-assisted Antibody Discovery & Data at Amgen
About the role
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.
Senior Scientist – Digital Discovery: AI-assisted Antibody Discovery & Data
What you will do
Let’s do this. Let’s change the world. In this vital role you will
join the Bio Foundry team within Immuno Engineering. This role sits at the intersection of computational design, in vivo antibody discovery, and data generation, enabling a closed-loop design–make–test–learn ecosystem for next-generation therapeutics.
AI-Guided Discovery & Experimental Translation:
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Translate AI/ML-generated antibody designs (including zero-shot approaches) into experimentally testable strategies
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Design and execute workflows to express, screen, and characterize AI-derived antibodies
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Partner closely with computational and ML teams to refine hypotheses and improve design quality
Integrated Antibody Discovery:
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Contribute to traditional antibody discovery workflows, including in vivo / immunization-based platforms
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Apply comparative approaches to evaluate AI-designed vs. conventionally derived antibodies
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Help define best practices for integrating next-generation and established discovery paradigms
High-Throughput Data Generation & Structuring:
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Develop and implement pipelines for systematic data capture, curation, and sharing
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Generate high-quality sequence–function datasets to support model training and benchmarking
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Ensure experimental outputs are structured, standardized, and ML-ready
Bio Foundry & Automation Integration:
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Work with automation and platform teams to enable scalable, high-throughput validation workflows
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Contribute to the development of a Bio Foundry-enabled discovery engine
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Help define experimental designs that maximize throughput, reproducibility, and data value
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a Scientist with these qualifications.
Basic Qualifications
- PhD in Biology, Immunology, Immunoengineering, Biochemistry, Bioengineering or related field
OR Master’s degree + 3+ years of relevant experience
OR Bachelor’s degree + 5+ years of relevant experience
Preferred Qualifications
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Experience in antibody discovery and engineering, including display technologies and/or in vivo platforms
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Hands-on experience with protein expression, screening, and characterization workflows
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Familiarity with high-throughput or automated experimental systems
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Exposure to computationally guided or AI-enabled discovery approaches
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Experience working with structured biological data, databases, or LIMS systems
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Demonstrated ability to work cross-functionally with computational, data science, or engineering teams
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Strong scientific communication and problem-solving skills
What you can expect from us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
Amgen is proud to have been recognized as one of LinkedIn Top 25 Companies in Canada for career growth. Click HERE for more details.
The base salary for this position is $115,503 - $156,269 CAD.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
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.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
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. Please contact us to request accommodation.
.
Salary Range
115,503.10 CAD - 156,268.90 CAD
Required skills
Machine learning
Antibody discovery
Computational design
Data analysis
Scientific research
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About Amgen

Amgen
PublicA biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10,001+
Employees
Thousand Oaks
Headquarters
$138B
Valuation
Reviews
24 reviews
3.6
24 reviews
Work-life balance
3.2
Compensation
3.5
Culture
3.1
Career
2.8
Management
3.4
65%
Recommend to a friend
Pros
Excellent benefits and health benefits
Good pay and compensation
Supportive management and leadership
Cons
Limited career growth and promotion opportunities
Work-life balance challenges and long hours
Bureaucratic processes
Salary Ranges
1,002 data points
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Associate Data Analytics
2 reports
$104,000
total per year
Base
$80,317
Stock
-
Bonus
-
$98,800
$124,000
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Final Round/Panel Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
Culture Fit
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