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Contract Research Scientist Jobs (NOW HIRING)

Gss Anc

Research Scientist

Natick, MA · On-site

$90 - $120/hr

Document research methods, activities, results, and progress in accordance with USARIEM procedures and contract requirements. * Collaborate with Government scientists, engineers, research personnel ...

University of Georgia- FACS

$90 - $130/hr

Research/Project Chemical Sciences Laboratory (CSL) Overview Under minimal or general guidance from ... contract terms and conditions related to funded program activities. Further the SDSU Research ...

Califesciences

Research Scientist II

San Diego, CA · On-site

$90 - $120/hr

Research/Project Chemical Sciences Laboratory (CSL) Overview Under minimal or general guidance from ... contract terms and conditions related to funded program activities. Further the SDSU Research ...

New

H. T. PROF Group

Research Scientist

Lancaster, SC · On-site

$85 - $120/hr

You will work collaboratively to support ingredient research, experimental design and scientific ... contract facilities. * Verify study data using applicable Data Management tools and study ...

Good Start Labs

RESEARCH SCIENTIST

Manhattan, NY · On-site

$100 - $150/hr

We need a Research Scientist to help design and execute research that improves language models ... You'll work on improving a 260B+ parameter model we have under contract by EOY, using RL ...

AI Chopping Block

$300 - $320/hr

We're seeking research scientists with deep medicinal chemistry expertise to join the team. Our ... Coordinate synthesis and biological evaluation with external contract research organizations and ...

Intellisense Systems Inc

Research Scientist

Torrance, CA · On-site

$120 - $165/hr

We are looking for an exceptional Research Scientist to lead technical proposal development for ... contracts/PM staff on cost volume alignment and data rights assertions (e.g., DFARS 252.227-7018 ...

Intellisense Systems Inc

Research Scientist

Torrance, CA · On-site

$120K - $165K/yr

We are looking for an exceptional Research Scientist to lead technical proposal development for ... contracts/PM staff on cost volume alignment and data rights assertions (e.g., DFARS 252.227-7018 ...

Stevens

Research Scientist

Hoboken, NJ · On-site

$98K - $133K/yr

... the contract project. Responsibilities Participate in the conceptual formulation of multi-level ... research methods Experience applying computer science concepts in problem solving through algorithm ...

Intellisense Systems, Inc.

Research Scientist

Torrance, CA · On-site

$120K - $165K/yr

We are looking for an exceptional Research Scientist to lead technical proposal development for ... contracts/PM staff on cost volume alignment and data rights assertions (e.g., DFARS 252.227-7018 ...

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Contract Research Scientist information

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$130.1K

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How much do contract research scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for contract research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a contract research scientist?

A Contract Research Scientist is a professional hired on a temporary or project-specific basis to conduct scientific research, analyze data, and develop new technologies or products. They typically work for pharmaceutical companies, biotech firms, government agencies, or academic institutions. Their responsibilities may include designing experiments, writing reports, and collaborating with teams to achieve research goals. Unlike full-time scientists, they work under fixed-term contracts and may work on multiple projects for different organizations.

What types of projects or research areas do contract research scientists typically work on?

Contract Research Scientists are often engaged in a diverse range of projects depending on the organization's needs, such as pharmaceutical development, biotechnology innovations, environmental testing, or engineering studies. You may be tasked with designing experiments, collecting and analyzing data, writing technical reports, and presenting findings to stakeholders. The variety of assignments provides exposure to different scientific challenges and methods, allowing for rapid skill development and professional growth. This dynamic work environment is ideal for professionals who enjoy working on multiple topics and collaborating with scientists from various disciplines.

What are the key skills and qualifications needed to thrive as a contract research scientist?

To thrive as a Contract Research Scientist, you need a solid background in scientific research methods, data analysis, and experimental design, typically supported by an advanced degree in a relevant scientific discipline. Familiarity with laboratory information management systems (LIMS), statistical software (such as R or SPSS), and standard lab equipment is commonly required, and certifications like Good Laboratory Practice (GLP) can be advantageous. Strong project management, adaptability, and effective communication skills help you collaborate with cross-functional teams and manage shifting priorities. These abilities are crucial for delivering high-quality research outcomes on time and adapting to varied project scopes in contract-based environments.

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Contract Research Scientist jobs near you
Infographic showing various Contract Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Contract Research Scientist, Computational Biology & AI/ML

Commonwealth Sciences, Inc.

Boston, MA • On-site

$38.25 - $48/hr

Other

Posted 2 days ago

New

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.



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