Roche

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

Roche$168K — $312K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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
  • Proficiency in Python and machine learning frameworks (PyTorch, TensorFlow, or JAX)
  • Experience with molecular modeling tools and biophysical analysis
  • First-author publications or evidence of research contributions

Responsibilities

  • Apply developability modeling to active portfolio projects in gRED and pRED
  • Support the evolution of molecular assessment research in Antibody Engineering
  • Interface with portfolio scientists to translate their challenges into computational approaches
  • Contribute to the development of methods for biophysical modeling and ML model improvement
  • Transition research-stage models into production-ready components
  • Develop credibility and technical relationships with gRED/pRED stakeholders

Benefits

  • Flexible work hours
  • Professional development opportunities
  • Collaborative and inclusive work environment
Full Job Description

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.

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About Roche

Roche Holding AG is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has bearer shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel. Roche is the largest pharmaceutical company in the world, and the leading provider of cancer treatments globally. The company also produces a range of diagnostic tests for medical professionals and patients. Roche was one of the first companies to bring targeted treatments to patients. In 2019, Roche had over 100,000 employees worldwide, and generated revenue of CHF 61.5 billion.
Learn more about Roche
Size
100,920 employees
Industry
NASDAQ

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