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Remote Computational Modeling Scientist Jobs (NOW HIRING)

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

STEM Research Scientist - PhD

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

Research And Development Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

Mercor

Research Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

SES

Computational Materials Scientist

Woburn, MA · On-site +1

As a Computational Materials Scientist, you will be a core data-driven modeler responsible for ... Atomistic Modeling & Simulation * Conduct and oversee DFT (Density Functional Theory), MD ...

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$50.5K

$111.3K

$137.5K

How much do remote computational modeling scientist jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote computational modeling scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Computational Modeling Scientist vs Remote Data Scientist?

AspectRemote Computational Modeling ScientistRemote Data Scientist
Required CredentialsAdvanced degrees in computational science, physics, or related fields; programming skillsDegree in data science, statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, tech companies, or industries requiring simulation and modelingBusiness, tech, healthcare, or finance sectors analyzing large datasets
Employer & Industry UsageResearch institutions, biotech, aerospace, and engineering firmsTech companies, finance, healthcare, marketing
Common Search & ComparisonYesNo

The Remote Computational Modeling Scientist focuses on developing and applying computational models to simulate complex systems, often requiring advanced scientific knowledge. In contrast, the Remote Data Scientist primarily analyzes large datasets to extract insights for business decisions. While both roles involve programming and data analysis, their core applications and industries differ significantly.

How does a Remote Computational Modeling Scientist typically collaborate with cross-functional teams while working off-site?

As a Remote Computational Modeling Scientist, you’ll often work closely with multidisciplinary teams, including experimental scientists, data analysts, and software engineers. Collaboration usually takes place through virtual meetings, shared project management tools, and cloud-based data repositories, ensuring seamless communication despite geographical distance. Clear documentation, proactive updates, and flexible scheduling are key to overcoming the challenges of time zone differences and remote coordination. Building strong professional relationships and maintaining transparency help facilitate effective teamwork and project success.

What is a Remote Computational Modeling Scientist?

A Remote Computational Modeling Scientist is a professional who uses advanced computer simulations and mathematical models to analyze complex systems or predict outcomes in fields such as physics, biology, chemistry, or engineering—all while working remotely. They design, develop, and implement computational models to solve scientific problems, often collaborating with research teams virtually. Their work helps organizations understand phenomena, optimize processes, and accelerate innovation without needing to be physically present in a traditional lab or office setting.

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

To thrive as a Remote Computational Modeling Scientist, you need a strong background in mathematics, physics, or engineering, along with experience in computational modeling and a relevant advanced degree. Proficiency with programming languages (such as Python, MATLAB, or C++), simulation software, and version control systems is typically expected. Exceptional problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and independent workflow. These competencies ensure accurate model development, efficient project delivery, and seamless teamwork across distributed environments.
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Remote Computational Modeling Scientist jobs near you

Principal Scientist, Computational Chemistry

Deep Apple Therapeutics

South San Francisco, CA • On-site, Remote

Full-time

Posted 24 days ago

Job description

About Us Deep Apple Therapeutics, part of the Apple Tree Partners (ATP) portfolio, is a Bay Area biotechnology company focused on accelerating drug discovery by integrating molecular docking and structural biology with advanced computer-aided drug design (CADD) technologies. Our state-of-the-art platform combines advanced computational modeling, large-scale compound docking, cryo-EM-based structural biology, and deep learning to drive the efficient identification and development of novel therapeutics.

Role Description We are seeking an experienced Computational Scientist to support and advance our computational initiatives in virtual hit discovery and traditional CADD for our portfolio programs. You will join a collaborative team of computational chemists, data scientists, machine learning engineers and medicinal chemists to integrate deep learning models into our drug discovery pipeline. This role will enhance our virtual screening capabilities, optimize molecular design, and facilitate cross-functional collaboration to translate computational insights into viable therapeutic leads. The ideal candidate will bring more than five years of expertise in computational modeling and proven support of drug discovery teams.

Key Responsibilities

  • Lead the implementation of virtual hit discovery, including ligand-based and structure-based modeling, on a program-by-program basis.
  • Deploy deep learning models, including generative AI for molecular design, to predict molecular properties, binding affinities, and ADMET profiles for portfolio programs.
  • Collaborate closely with biology, medicinal chemistry, and machine learning teams to validate computational predictions through iterative feedback loops to accelerate pipeline programs.
  • Drive strategic initiatives, including partnerships with academic institutions, technology companies, and CROs, to strengthen our virtual hit discovery capabilities.
  • Stay current with emerging technologies in computational chemistry and deep learning, incorporating them into our pipeline to maintain a competitive edge.
  • Manage project timelines, budgets, and resources while ensuring compliance with data integrity and intellectual property standards.

Required Qualifications and Skills

  • Ph.D. in Computational Chemistry, Cheminformatics, Bioinformatics, or a related field.
  • Minimum of 5 years of professional experience in computational modeling within the biotechnology or pharmaceutical industry, including at least 1-2 years in a computational program leadership role.
  • Strong track record in virtual hit discovery and/or CADD, with demonstrated success leading to IND-ready assets.
  • Proficiency in programming languages such as Python, with extensive experience in data analysis, machine learning pipelines, and high-performance computing.
  • Excellent communication skills, with the proven ability to translate complex technical concepts to non-expert audiences.

At Deep Apple, we value diversity, encourage professional growth, and provide competitive benefits and compensation.
Deep Apple is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Employment Type: FULL_TIME

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