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Remote Computational Biophysics Jobs (NOW HIRING)

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our ... PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics ...

Senior CADD Scientist

San Diego, CA · On-site +1

$97K - $132K/yr

Genesis Molecular AI is assembling a world-class computational chemistry team to revolutionize drug ... We are open to remote team members too. What we offer * Competitive Pay * Health Care Plans ...

Remote Computational Biophysics information

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$40

$54

$74

How much do remote computational biophysics jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for remote computational biophysics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Remote Computational Biophysics vs Remote Structural Biologist?

AspectRemote Computational BiophysicsRemote Structural Biologist
Required CredentialsAdvanced degrees in biophysics, computational biology, or related fieldsDegrees in biology, biochemistry, or structural biology
Work EnvironmentPrimarily computer-based, using modeling and simulation toolsLab and computer work, focusing on structural analysis
Industry UsagePharmaceutical, biotech, academia

Remote Computational Biophysics involves using computational methods to study biological systems, often requiring programming skills and advanced degrees. Remote Structural Biologists focus on analyzing and modeling biological structures, combining lab work with computational analysis. Both roles are common in biotech and pharma industries, but they differ mainly in their focus and methods.

What is remote computational biophysics?

Remote computational biophysics is a field where scientists use computational methods and simulations to study biological systems, such as proteins and cells, while working from locations outside of traditional labs or offices. This work often involves modeling molecular structures, analyzing large datasets, and running simulations using specialized software. The 'remote' aspect means that all tasks are performed using remote access to computers and collaboration tools, enabling professionals to contribute to research from anywhere. This approach is increasingly popular due to advances in cloud computing and secure data-sharing platforms.

How do remote computational biophysics professionals typically collaborate with experimental scientists and other team members?

Remote computational biophysicists frequently work in multidisciplinary teams, collaborating closely with experimental scientists, software developers, and data analysts. Communication is usually facilitated through regular virtual meetings, shared project management tools, and collaborative platforms for sharing simulation data and results. Building strong communication skills is essential, as clear documentation and timely updates help bridge the gap between computational predictions and experimental findings. Team members often participate in joint problem-solving sessions and may co-author research papers or grant proposals, fostering a collaborative and innovative work environment.

What are the key skills and qualifications needed to thrive as a Remote Computational Biophysicist, and why are they important?

To thrive as a Remote Computational Biophysicist, you need a solid background in physics, biology, and mathematics, typically with a PhD or advanced degree in a related field. Expertise with molecular dynamics software (e.g., GROMACS, AMBER), programming languages like Python or C++, and experience using high-performance computing systems are essential. Strong problem-solving abilities, self-motivation, and effective virtual communication skills help you collaborate and innovate in a remote environment. These skills ensure accurate research, efficient use of computational resources, and successful teamwork despite geographical distance.
More about Remote Computational Biophysics jobs
What cities are hiring for Remote Computational Biophysics jobs? Cities with the most Remote Computational Biophysics job openings:
What are the most commonly searched types of Computational Biophysics jobs? The most popular types of Computational Biophysics jobs are:
What states have the most Remote Computational Biophysics jobs? States with the most job openings for Remote Computational Biophysics jobs include:
Senior Director, AIRx Computational Chemistry

Senior Director, AIRx Computational Chemistry

Takeda Pharmaceutical

Cambridge, MA • On-site, Remote

$212K - $333K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Takeda Pharmaceuticals rating

7.2

Company rating: 7.2 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

58th of 71 rated pharmaceutical


Job description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Senior Director, Computational Chemistry

Takeda Research is constructing the Discovery Automation & Robotics (DAR) group built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost. To catalyze these efforts, Takeda is creating two complementary units: AI Research Accelerator (AIRx) and The Discovery Automation & Robotics (DAR) group.

AIRx will consist of a dedicated group of experienced drug hunters with the autonomy of a biotech and the resources of a leading pharmaceutical company. It is designed to incubate the future AI-powered operating models and deliver candidates to the clinic at industry leading speed and success rates.

Purpose

Reporting to the Head of AIRx, the AIRx Computational Chemist sits at the scientific heart of AIRx's AI-first operating model. This role drives in silico molecular design, leverages predictive models, and applies generative chemistry to power rapid DMTA cycles — directly enabling the speed and precision that define the AIRx incubator In AIRx, computational chemistry is a first-order decision-making function — generative proposals from this role directly shape what gets synthesized, what gets deprioritized, and ultimately what reaches the clinic. The role is deeply hands-on, with a unique opportunity to directly shape candidates that advance to the clinic through close collaboration with the wider AIRx design team.

Accountabilities

  • Apply generative AI, structure-based design, free energy perturbation, and predictive ML models to design and prioritize chemical matter
  • Partner closely with Medicinal Chemists to translate computational outputs into actionable synthesis priorities; challenge and be challenged in equal measure
  • Lead and oversee virtual screening campaigns, ADMET predictions, and selectivity assessments to inform and accelerate design decisions
  • Contribute to building and refining AI/ML model training datasets from AIRx experimental outputs
  • Develop and maintain computational workflows that increase team speed and reproducibility
  • Interpret and integrate structural biology data (X-ray, cryo-EM) into computational design strategies
  • Communicate complex computational findings clearly to cross-disciplinary colleagues and governance forums
  • Stay current with advances in generative AI, protein structure prediction, and ML methods; proactively apply new approaches

Qualifications & Competencies

  • PhD in computational chemistry, cheminformatics, biophysics, or closely related discipline
  • 12–15+ years of drug discovery experience with demonstrated track record of computational impact on programs
  • Proficiency across computational tools: molecular docking, MD simulation, FEP, QSAR/ADMET modeling
  • Strong coding skills (Python required); experience building and deploying ML models in a drug discovery context
  • Experience with structure-based drug design; ability to interpret crystallography or cryo-EM data
  • Experience applying generative AI or large language models to molecular design preferred
  • Collaborative, communicative, and comfortable at the wet/dry scientific interface

ADDITIONAL INFORMATION

The position will be based in Cambridge, MA.  This position is currently classified as “hybrid” by Takeda’s Hybrid and Remote Work policy

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. 

For Location:

Boston, MA

U.S. Base Salary Range:

$212,000.00 - $333,190.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. 

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. 

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Job Exempt

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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