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Internship Scientist Antibody Engineering Jobs (NOW HIRING)

Nurix

Senior Scientist, Antibody Conjugation

Brisbane, CA · On-site

$110K - $150K/yr

NHS ester and maleimide coupling, click chemistry (CuAAC/SPAAC/IEDDA), engineered-cysteine or ... for antibody conjugation at Nurix, shaping both the science and how it's automated and scaled ...

Nurix

Senior Scientist, Antibody Conjugation

Brisbane, CA

$110K - $150K/yr

NHS ester and maleimide coupling, click chemistry (CuAAC/SPAAC/IEDDA), engineered-cysteine or ... for antibody conjugation at Nurix, shaping both the science and how it's automated and scaled ...

Edison Scientific, Inc.

$165 - $248/hr

About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the ... Experience with antibody engineering, fragment conjugation, multispecific antibody design, and/or ...

CEDENT

Senior Scientist

Branford, CT

$90K - $123K/yr

Lead antibody engineering from idea to construct to bench -- including expression, purification ... Mentor junior scientists (if interested) and help shape our growing discovery organization What You ...

Absci Corp.

$150 - $210/hr

... AI Scientist to advance and deploy protein design models for antibody drug design. In this role ... Partner with team members across AI Research, AI Engineering, Computational Biology, and Protein ...

CEDENT

Senior Scientist (Branford, CT)

Branford, CT

$90K - $123K/yr

... antibody engineering from idea to construct to bench - including expression, purification, and ... scientists (if interested) and help shape our growing discovery organization What You Bring PhD in ...

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Internship Scientist Antibody Engineering information

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$40.5K

$98.8K

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How much do internship scientist antibody engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for internship scientist antibody engineering in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Scientist Antibody Engineering vs Internship Scientist Immunology?

AspectInternship Scientist Antibody EngineeringInternship Scientist Immunology
Required CredentialsBachelor's or Master's in Biotechnology, Molecular Biology, or related fieldsBachelor's or Master's in Immunology, Biology, or related fields
Work EnvironmentLaboratories focused on antibody design, engineering, and biotherapeuticsResearch labs studying immune responses, cellular functions, and disease mechanisms
Employer & Industry UsagePharmaceutical and biotech companies developing antibody-based therapiesResearch institutions and biotech firms studying immune system functions

Internship Scientist Antibody Engineering focuses on designing and optimizing antibodies for therapeutic use, while Internship Scientist Immunology explores immune system mechanisms. Both roles require similar educational backgrounds and are common in biotech and pharma industries, but they emphasize different scientific areas within biomedical research.

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Internship Scientist Antibody Engineering jobs near you
Infographic showing various Internship Scientist Antibody Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $98,759 per year, or $47.5 per hour.

Senior Scientist, Antibody Developability/Biophysics & Portfolio Support, AI for Drug Discovery (AID

Genentech, Inc.

South San Francisco, CA • On-site

Full-time

Re-posted 9 hours ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
At Roche's AI for Drug Discovery (AIDD) group within the Computational Sciences Center of Excellence, we are building computational approaches that accelerate antibody discovery. Our focus is on translating machine learning models into portfolio impact-working directly with gRED and pRED scientists to apply developability prediction, design optimization, and functional modeling to real projects. We're looking for a talented Senior Scientist who combines strong technical expertise in developability and biophysics with the ability to collaborate effectively across diverse scientific teams. In this role, you'll work on active portfolio projects, apply cutting-edge computational methods to real discovery challenges, and grow into broader leadership as you advance.
Antibody design is becoming increasingly computational. The scientists who can bridge computational methods and experimental reality-who understand both the science deeply and the practical needs of portfolio teams-are increasingly valuable. This role gives you the opportunity to have direct impact on real projects while building expertise in a rapidly evolving field.
In this role, you will:
  • Apply developability modeling to active portfolio projects in gRED and pRED, translating computational predictions into actionable guidance for antibody engineering teams
  • Support the continuation and evolution of our molecular assessment research efforts in partnership with Antibody Engineering stakeholders, ensuring continuity and quality of ongoing work
  • Interface with portfolio scientists and stakeholders to understand their scientific challenges and translate those into computational approaches; clearly communicate model outputs and limitations
  • Contribute to method development in developability prediction, biophysical modeling, and ML model improvement-identifying gaps in our current approaches and proposing solutions
  • Work with our modeling and platform teams to transition research-stage models into production-ready components that can be reliably used on portfolio projects
  • Develop technical relationships and credibility with gRED/pRED stakeholders, establishing yourself as a trusted resource for computational support in antibody design

Who You Are
Technical Foundation
  • PhD in Computational Biology, Biophysics, Chemistry, or related field, or equivalent advanced experience (5-8 years in ML/computational methods or biophysics)
  • Strong expertise in developability assessment, biophysical modeling, or antibody engineering; deep understanding of what makes antibodies druglike (expression, stability, biophysical properties, manufacturability)
  • Proficiency in Python and machine learning frameworks (PyTorch, TensorFlow, or JAX)
  • Experience with molecular modeling tools, biophysical analysis, or related computational approaches
  • First-author publications or equivalent evidence of research contributions

Drug Discovery & Portfolio Experience
  • Experience working on drug discovery projects where your computational work directly influenced scientific decisions
  • Understanding of antibody engineering, developability assessment, and the full lifecycle of antibody optimization
  • Ability to explain complex computational methods to non-expert audiences
  • Familiarity with the practical constraints and timelines of portfolio science

Collaboration & Communication
  • Strong communication skills; you can present complex science clearly and collaborate across disciplines
  • You enjoy working with experimental scientists and translating their challenges into computational problems
  • You're responsive to stakeholder needs and pragmatic about what's feasible
  • You bring energy and curiosity to your work

Growth Potential
  • You have ambition to grow into broader technical and/or leadership roles
  • You're willing to take on ambiguous problems and figure them out
  • You seek feedback and are committed to continuous improvement

Relocation benefits are NOT available for this job posting
The expected salary range for this position, based on the primary location of California, is $ 168,100 - 312,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
#tech4lifeAI
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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