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Phd Biophysics Jobs (NOW HIRING)

Synthires

Biology Research Scientist

San Francisco, CA · On-site

$80 - $110/hr

Ideal Qualifications • PhD, postdoctoral training, or equivalent research experience in Biology, Biophysics, or a related life sciences discipline. • Strong publication record, including first ...

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Harvard University

Postdoctoral Fellow

Cambridge, MA · On-site

$54K - $73K/yr

Basic Qualifications Candidate must hold a PhD in Biochemistry or Biophysics or related field or have completed all requirements for the PhD by the anticipated start date. Additional Qualifications ...

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How much do phd biophysics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for phd biophysics in the United States is $29.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $32.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD biophysicist, and why are they important?

To thrive as a PhD Biophysicist, you need advanced knowledge of physics, biology, and chemistry, typically supported by a doctoral degree in biophysics or a related field. Familiarity with laboratory techniques, computational modeling tools, and data analysis software (such as MATLAB or Python) is essential. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills for collaborating with multidisciplinary teams and presenting research findings. These skills are crucial for driving innovative research, interpreting complex biological systems, and contributing to advances in science and medicine.

Is biophysics in demand?

Biophysics is a growing field with demand in research institutions, healthcare, and biotech industries. PhD biophysicists with skills in data analysis, modeling, and laboratory techniques are sought after for roles in academia, industry, and government agencies.

What is a PhD biophysicist?

PhD biophysicists are scientists who have earned a doctoral degree in biophysics, an interdisciplinary field that applies the principles of physics and mathematics to understand biological systems. They conduct advanced research to investigate the physical mechanisms underlying biological processes, such as protein folding, molecular interactions, or cellular dynamics. PhD biophysicists often work in academic institutions, research labs, pharmaceutical companies, or technology firms, contributing to advancements in medicine, biotechnology, and fundamental biology.

What are some common collaborative projects a PhD biophysicist might work on within a research institution?

PhD biophysicists frequently collaborate with interdisciplinary teams, including biologists, chemists, and engineers, to tackle complex problems such as protein structure analysis, drug discovery, and the development of novel imaging techniques. These projects often require integrating experimental data with computational modeling, meaning effective communication and teamwork are essential. It's common to participate in joint grant applications, contribute to publications, and share findings at group meetings, which fosters both scientific growth and professional networking.

How much does a PhD in biophysics make?

A PhD in biophysics typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Graduates often work in research, academia, or biotech companies, where advanced skills in data analysis and laboratory techniques are valued.
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Phd Biophysics jobs near you
Infographic showing various Phd Biophysics job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $61,245 per year, or $29.4 per hour.

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

Genentech, Inc.

South San Francisco, CA • On-site

Full-time

Posted 10 days 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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