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Remote Molecular Modeling Jobs (NOW HIRING)

Strong foundation in molecular and cellular biology concepts * Ability to critically analyze and ... Fully remote with flexible, self-managed schedule * Project duration may vary based on performance ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Santhosh Girirajan in the Department of Biochemistry and Molecular Biology at Penn State to study ...

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... model system using a range of techniques including animal studies, genomics, and molecular biology.

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... models for identifying molecular signals from blood. They will also work with computational ... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ...

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... models for identifying molecular signals from blood. They will also work with computational ... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ...

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How much do remote molecular modeling jobs pay per year?

As of Jun 22, 2026, the average yearly pay for remote molecular modeling in the United States is $80,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Molecular Modeler, you need a strong background in chemistry, biochemistry, or related fields, typically supported by an advanced degree such as a PhD or MSc. Proficiency with molecular modeling software (e.g., Schrödinger, MOE, AMBER), programming languages (such as Python), and experience with computational chemistry tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams remotely. These competencies are crucial for accurately simulating molecular interactions and contributing to research and drug discovery projects.

What is remote molecular modeling?

Remote molecular modeling refers to the use of specialized software and computational tools to simulate and analyze the structures and behaviors of molecules, all performed from a remote location rather than a physical laboratory. Scientists and researchers can use cloud-based platforms or remote desktop connections to access powerful computing resources, collaborate with colleagues, and conduct experiments virtually. This approach is especially useful for drug design, protein engineering, and material science research, allowing for flexibility and efficient teamwork across different geographic locations.

How does a remote molecular modeling professional typically collaborate with laboratory-based researchers and cross-functional teams?

Remote molecular modeling professionals frequently interact with laboratory scientists, medicinal chemists, and other team members through virtual meetings, collaborative software, and detailed reporting. They often participate in project discussions to interpret simulation results, advise on compound design, and provide computational insights that guide experimental planning. Effective communication and timely sharing of data are essential, as remote modelers bridge the gap between in silico predictions and hands-on laboratory work. This collaborative dynamic ensures that computational findings are seamlessly integrated into broader research efforts.
More about Remote Molecular Modeling jobs
What cities are hiring for Remote Molecular Modeling jobs? Cities with the most Remote Molecular Modeling job openings:
What are the most commonly searched types of Molecular Modeling jobs? The most popular types of Molecular Modeling jobs are:
What states have the most Remote Molecular Modeling jobs? States with the most job openings for Remote Molecular Modeling 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 5 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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