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Computational Neuroscientist Jobs (NOW HIRING)

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build ...

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Computational Neuroscientist information

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$54

$74

How much do computational neuroscientist jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for computational neuroscientist in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What types of interdisciplinary collaboration can I expect as a computational neuroscientist?

As a Computational Neuroscientist, you’ll frequently collaborate with experimental neuroscientists, data analysts, clinicians, and software engineers. This interdisciplinary teamwork is vital for integrating computational models with experimental data to advance understanding of brain function. You may participate in joint lab meetings, contribute to multi-author publications, and work on cross-functional research projects, which can broaden your expertise and open up further career opportunities in both academia and industry.

What are the key skills and qualifications needed to thrive as a computational neuroscientist?

To thrive as a Computational Neuroscientist, you need a solid background in neuroscience, mathematics, and computer science, often supported by a PhD in a related field. Proficiency with programming languages (such as Python or MATLAB), data analysis tools, and neural simulation software is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills are critical for collaborating in multidisciplinary teams and conveying complex findings. These skills enable the development and interpretation of computational models, driving advances in understanding brain function and neurological disorders.

What is the difference between Computational Neuroscientist vs Cognitive Scientist?

AspectComputational NeuroscientistCognitive Scientist
Required CredentialsPhD in neuroscience, psychology, or related fields; strong programming skillsPhD or master's in psychology, cognitive science, neuroscience; interdisciplinary background
Work EnvironmentResearch labs, universities, biotech companiesAcademic institutions, research centers, tech companies
Industry UsageNeuroscience research, brain modeling, neural data analysisHuman cognition, perception, language, decision-making studies

While both roles involve understanding brain functions, Computational Neuroscientists focus on modeling neural systems and analyzing neural data, often using computational methods. Cognitive Scientists study mental processes like perception and decision-making, integrating insights from psychology, neuroscience, and computer science. The roles overlap in research but differ in their primary focus and methods.

What is a computational neuroscientist?

Computational neuroscientists are researchers who use mathematical models, computer simulations, and analytical approaches to understand how the brain processes information. They study neural systems at various levels, from single neurons to complex brain networks, to uncover the principles of brain function. This interdisciplinary field combines neuroscience, computer science, physics, and mathematics to analyze experimental data and develop theories about brain activity and cognition.
More about Computational Neuroscientist jobs
What cities are hiring for Computational Neuroscientist jobs? Cities with the most Computational Neuroscientist job openings:
What states have the most Computational Neuroscientist jobs? States with the most job openings for Computational Neuroscientist jobs include:
Infographic showing various Computational Neuroscientist 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, with an average salary of $114,249 per year, or $54.9 per hour.

Senior Computational Biologist - Early Discovery Oncology

Recursion

New York, NY • On-site

$166K - $220K/yr

Other

Posted 27 days ago


Job description

The Impact You'll Make

As a computational biologist within Recursion's early discovery team, you will be at the forefront of reimagining drug discovery from first principles. Your mission is to integrate Recursion's massive datasets-phenomics, transcriptomics, genomics, proteomics-to nominate novel targets, validate disease biology, and define the precision oncology strategies to advance our most promising therapeutic targets into full-fledged drug discovery programs.

This is a highly collaborative role: you will partner with biologists, chemists, data scientists, platform and data engineers, and translational experts to develop and scale methods for target discovery and validation. You will also partner with computational scientists from across the organization to develop novel approaches to agentic target packages, early translational de-risking, and mechanism of action identification. The ideal candidate has strong stakeholder management, technical communication skills, and 3+ years biotech or pharma experience in early drug discovery. 

We are hiring for two roles on a new target ID team, one domain expert in immunology and inflammatory diseases and one in precision oncology (this role). 

In this role, you will:

  • Drive Target Discovery: Evaluate the molecular evidence for target nomination and validation, leveraging Recursion's platform to identify novel vulnerabilities in precision oncology disease biology
  • Pilot novel methods for target discovery, validation, and early patient population hypotheses to send programs into nomination cascades
  • Define internal criteria for target data packages and early patient population strategy
  • Connect your innovative analysis methods to platform and engineering teams so that we solve the current project and accelerate future ones
  • Collaborate cross-functionally: Partner with biologists, medicinal chemists, translational, and portfolio leads to build compelling data packages that drive program milestones and internal investment decisions. 
  • Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.

The Team You'll Join 

Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. Our expertise spans precision oncology, I&I (immunology and inflammation), and neuroscience and we focus on advancing novel, targeted therapies in these disease areas. We partner closely with other functions to design and execute impactful and decisional data analyses for new targets and drug programs and are responsible for data strategy across the portfolio. We prioritize career development, fluency at the intersection of biology and technology, and a strong network of technical feedback and support.

The Experience You'll Need

  • PhD in a relevant field (computational biology, bioinformatics, systems biology, cancer biology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in early drug discovery
  • Domain expertise in precision oncology and target id
  • Strong understanding of patient genetics and druggability of disease relevant pathways
  • Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R
  • Exceptional data visualization skills
  • Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations

Nice To Have:

  • Experience building a target discovery engine using public and proprietary datasets
  • Experience designing high-throughput screens with CRISPR or small molecule perturbations to validate therapeutic hypotheses
  • Previous exposure to efficient drug program advancement from proof of concept to IND

Working Location & Compensation:

This is an office-based, hybrid role in our Salt Lake City, UT or New York, NY offices. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is:

  • New York City: $166,980 to $220,660
  • Salt Lake City: $151,800 to $200,600

In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package.

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