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Online Computational Modeling Jobs (NOW HIRING)

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Focus on system and data integration, algorithm development and computational modeling of the ... Along with the online application, please attach: 1. Resume/CV to be uploaded at the beginning of ...

NorthEastern

Postdoctoral Research Fellow

Boston, MA

$60K - $85K/yr

... computational modeling, machine learning, and analyzing structural and functional neuroimaging data. Candidates can apply online at NU Careers: They must submit a CV and Cover Letter, along with the ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Focus on system and data integration, algorithm development and computational modeling of the ... Required Documents Along with the online application, please attach: 1. Resume/CV to be uploaded at ...

The Pennsylvania State University

... computational modeling and will develop, test, and deploy pore-scale simulation models for the ... If you are unable to use our online application process due to an impairment or disability, please ...

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Online Computational Modeling information

What are the key skills and qualifications needed to thrive in Online Computational Modeling, and why are they important?

To thrive in Online Computational Modeling, you need a solid background in mathematics, physics, and computer science, often supported by a relevant degree such as applied mathematics, engineering, or computational science. Proficiency with programming languages (such as Python, MATLAB, or C++), modeling software, and familiarity with cloud computing platforms is typically required. Strong problem-solving skills, attention to detail, and effective communication set top professionals apart in this field. These skills ensure accurate model development, efficient collaboration, and reliable interpretation of complex data for real-world applications.

What is the difference between Online Computational Modeling vs Data Analyst?

AspectOnline Computational ModelingData Analyst
Required CredentialsTypically requires degrees in computer science, mathematics, or engineering; certifications in modeling softwareUsually requires degrees in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentOften involves working with simulation software, programming, and cloud-based platformsPrimarily involves data collection, cleaning, and visualization in office or remote settings
Industry UsageUsed in engineering, scientific research, and technology sectors for modeling complex systemsCommon in finance, marketing, healthcare, and business for interpreting data trends

Online Computational Modeling focuses on creating simulations and mathematical models using programming and software tools, often in technical industries. Data Analysts interpret and visualize data to support decision-making. While both roles handle data and require analytical skills, they differ in tools, methods, and industry applications.

What is online computational modeling?

Online computational modeling refers to the use of computer-based mathematical models and simulations that are accessed, run, or built over the internet. This field allows researchers, engineers, and analysts to study complex systems and predict outcomes by leveraging cloud-based tools and collaborative platforms. Online computational modeling is widely used in fields such as engineering, biology, economics, and data science to analyze data, optimize processes, and visualize scenarios without the need for local, high-performance computing resources. It enables real-time collaboration and resource sharing, making advanced modeling more accessible to a broader audience.

How does an Online Computational Modeling professional typically collaborate with cross-functional teams in a remote work setting?

Online Computational Modeling professionals often work closely with data scientists, software engineers, and subject matter experts to develop and refine models. In a remote environment, collaboration usually happens through regular virtual meetings, shared code repositories, and cloud-based project management tools. Effective communication and documentation are essential, as team members may be spread across different time zones and disciplines. This setup encourages flexibility and exposes you to diverse perspectives, enhancing both your technical skills and your ability to work on interdisciplinary projects.
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What are the most commonly searched types of Computational Modeling jobs? The most popular types of Computational Modeling jobs are:
What states have the most Online Computational Modeling jobs? States with the most job openings for Online Computational Modeling jobs include:
What job categories do people searching Online Computational Modeling jobs look for? The top searched job categories for Online Computational Modeling jobs are:
Online Computational Modeling jobs near you
Infographic showing various Online Computational Modeling job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution.
Principal Scientist (Computational Chemistry)

Principal Scientist (Computational Chemistry)

Genentech

South San Francisco, CA • On-site, Remote

$144K - $269K/yr

Full-time

Posted 20 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

8th of 74 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 Genentech!

The Opportunity

We are seeking an exceptional computational chemist to apply cutting-edge computational science, with an emphasis on induced proximity small molecule discovery. The ideal candidate will possess expertise in computational chemistry, collaborating within project teams to discover and advance induced proximity small molecules into clinical candidates. This is a critical role aimed at accelerating our discovery pipeline, optimizing lead candidates, and applying state of the art computational methods.

Key Responsibilities:

  • Advanced Modeling & Prediction: Lead the development and implementation of advanced computational methods, including molecular dynamics and affinity prediction, for ternary complex modeling, ligand discovery, validation and optimization.

  • AI/ML for Drug Discovery: In collaboration with our internal AI for Drug Discovery team, apply advanced AI/ML technologies, including protein-ligand co-folding, generative and active learning models.

  • Provide strategic direction and present scientific findings to internal and external stakeholders and project teams, including wet-lab scientists.

  • Cross-Functional Collaboration: Work closely with Structural Biology, Biochemical Pharmacology, DMPK, Safety/Investigational Toxicity, and other groups. Foster a collaborative environment within project teams to ensure computationally informed and driven decisions. Collaborate with computational scientists across the Drug Discovery organization and in our AI For Drug Discovery group.

Who You Are

  • Ph.D. in Computational Chemistry, Biophysics, or a related field.

  • 0-6 years of relevant post-Ph.D. experience in industry or a research organization.

  • Proven track record of induced proximity discovery or design projects.

  • Deep knowledge of computational chemistry principles and general molecular modeling techniques (e.g., docking, molecular simulation and dynamics, quantum mechanics, ligand- and structure-based design).

  • Proficient in Python or other relevant programming languages.

  • Experience with cloud computing platforms and/or high-performance computing (HPC) environments.

  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.

  • Ability to work productively and collaboratively in an interdisciplinary fast-paced team environment.

Preferred

  • Familiarity with computational software such as MOE, Schrodinger, OpenEye, and/or Rosetta.

  • Experience in AI/ML applications in the induced proximity space.

  • A strong track record of publication in leading scientific journals and presentations at major conferences.

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of South San Francisco, CA is $144,900 - 269,100. 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

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.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

Social media

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