ZipRecruiter

Log In

1

Computational Modeling Jobs in Boston, MA (NOW HIRING)

1910

Computational Theoretical Chemist I

Boston, MA · On-site

Update provisional patents with the animal model data * Nominate a lead candidate for progression into IND-enabling studies * Attend and present research at conferences and events related to ...

1910

Computational Theoretical Chemist II

Boston, MA · On-site

Update provisional patents with the animal model data * Nominate a lead candidate for progression into IND-enabling studies * Attend and present research at conferences and events related to ...

1910

Computational Theoretical Chemist I

Boston, MA · On-site

Update provisional patents with the animal model data * Nominate a lead candidate for progression into IND-enabling studies * Attend and present research at conferences and events related to ...

1910

Computational Theoretical Chemist III

Boston, MA · On-site

Update provisional patents with the animal model data * Nominate a lead candidate for progression into IND-enabling studies * Attend and present research at conferences and events related to ...

next page

Showing results 1-20

All JobsComputational Modeling JobsComputational Modeling Jobs in Boston, MA

Computational Modeling information

See Boston, MA salary details

$44

$59

$80

How much do computational modeling jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for computational modeling in Boston, MA is $59.67, according to ZipRecruiter salary data. Most workers in this role earn between $50.91 and $79.90 per hour, depending on experience, location, and employer.

What is computational modeling?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

What does a computational modeler do?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What are the key skills and qualifications needed to thrive in computational modeling?

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What are popular job titles related to Computational Modeling jobs in Boston, MA?

For Computational Modeling jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Computational Modeling jobs in Boston, MA look for?

The top searched job categories for Computational Modeling jobs in Boston, MA are:

What cities near Boston, MA are hiring for Computational Modeling jobs?

Cities near Boston, MA with the most Computational Modeling job openings:

Computational Modeling jobs near you
Infographic showing various Computational Modeling job openings in Boston, MA as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,121 per year, or $59.7 per hour.

Contract Research Scientist, Computational Biology & AI/ML

Commonwealth Sciences, Inc.

Boston, MA • On-site

$38.25 - $48/hr

Other

Posted 4 days ago

Job description

Position located in Boston, MA


Responsibilities:


  • Develop and apply machine learning and computational modeling approaches to accelerate therapeutic discovery across oligonucleotide and biologic platforms.
  • Build predictive and generative models to support antibody engineering, including antibody–antigen interaction modeling, sequence analysis, structural prediction, and de novo protein design.
  • Apply AI/ML techniques to identify and rank promising ASO candidates based on sequence characteristics, target accessibility, exon-skipping activity, and other relevant biological parameters.
  • Develop computational strategies for optimizing antibodies, antigens, ADCs, oligonucleotides, and other emerging therapeutic modalities against multiple design objectives.
  • Create scalable, reproducible workflows spanning data preparation, feature generation, model development, training, evaluation, and implementation.
  • Integrate sequence, structural, biochemical, and experimental datasets from internal programs, published literature, and external sources to improve model performance and biological insight.
  • Investigate and incorporate relevant molecular descriptors, including sequence motifs, thermodynamic properties, structural accessibility, secondary structure, binding characteristics, and other predictive features.
  • Establish rigorous model evaluation, benchmarking, and validation strategies and work closely with laboratory scientists to test computational predictions experimentally.
  • Assess emerging AI/ML methodologies, commercial platforms, open-source packages, and protein/oligonucleotide modeling technologies for potential integration into discovery workflows.
  • Develop well-structured, maintainable code and computational documentation that enables scientists across multidisciplinary teams to effectively use and interpret modeling tools.
  • Communicate computational findings, model performance, and design recommendations to scientists and project teams and contribute to data-driven therapeutic development strategies.


Requirements:


  • PhD in Computational Biology, Computational Chemistry, Machine Learning, Bioengineering, Chemical Engineering, Biomedical Engineering, or a closely related quantitative discipline, with at least 3 years of relevant industry experience.
  • Demonstrated experience applying computational methods to protein, antibody, DNA, RNA, or oligonucleotide design, preferably within a drug discovery or biotechnology environment.
  • Strong understanding of antibody engineering and computational approaches for analyzing antibody–antigen sequence, structure, binding, and interaction properties.
  • Experience developing or applying advanced machine learning methodologies, including deep neural networks, transformers, graph-based models, protein language models, generative models, or related approaches.
  • Hands-on experience using AI/ML to solve biological or molecular design problems, including predictive modeling, sequence analysis, structure prediction, or optimization.
  • Knowledge of oligonucleotide therapeutics, ASOs, RNA biology, exon skipping, siRNA, PMO/gapmer chemistry, or related modalities is highly desirable.
  • Strong programming capabilities in Python, with experience in one or more additional languages such as R or SQL.
  • Proficiency with modern machine learning and scientific computing frameworks such as PyTorch, TensorFlow, scikit-learn, JAX, or comparable technologies.
  • Experience working with large biological datasets and integrating sequence, structural, experimental, and literature-derived information for computational modeling.



Apply