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Summer Computational Neuroscience Software Engineer Jobs in Perry, GA

micro1 AI

Bioinformatics Software Engineer

Macon, GA · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

All JobsSummer Computational Neuroscience Software Engineer JobsSummer Computational Neuroscience Software Engineer Jobs in Perry, GA

Summer Computational Neuroscience Software Engineer information

See Perry, GA salary details

$9.9K

$83.9K

$119.1K

How much do summer computational neuroscience software engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for summer computational neuroscience software engineer in Perry, GA is $83,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $99,200.00 per year, depending on experience, location, and employer.

What does a summer computational neuroscience software engineer do?

A Summer Computational Neuroscience Software Engineer is typically an intern or temporary team member who works at the intersection of neuroscience and software engineering. They help develop software tools, simulations, or data analysis pipelines to support neuroscience research, often using programming languages like Python, MATLAB, or C++. Their work may involve modeling neural systems, processing neural data, or creating visualization tools for scientific studies. These engineers collaborate with neuroscientists to translate experimental questions into computational solutions, contributing to a better understanding of the brain during their summer position.

What types of projects does a summer computational neuroscience software engineer typically work on, and how do these projects contribute to the team's research goals?

Summer Computational Neuroscience Software Engineers often collaborate closely with neuroscientists and data analysts to develop and optimize software tools for analyzing neural data, simulating brain activity, or visualizing complex datasets. Projects may include building data pipelines, creating machine learning models to interpret neuronal signals, or developing interactive visualization dashboards. These contributions are crucial for advancing the team's research objectives, as they enable faster and more accurate analysis of experimental data, supporting the discovery of new insights in brain function. Working in a multidisciplinary environment, you'll gain exposure to both cutting-edge neuroscience and advanced software engineering practices.

What are the key skills and qualifications needed to thrive as a summer computational neuroscience software engineer, and why are they important?

To excel as a Summer Computational Neuroscience Software Engineer, you typically need a solid background in computer science, neuroscience, or a related field, along with proficiency in programming languages such as Python or MATLAB. Familiarity with neural data analysis tools, machine learning frameworks, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help candidates stand out in collaborative research environments. These competencies are vital for efficiently developing, troubleshooting, and optimizing software that supports cutting-edge neuroscience research.

What is the difference between Summer Computational Neuroscience Software Engineer vs Summer Data Scientist?

AspectSummer Computational Neuroscience Software EngineerSummer Data Scientist
Required CredentialsComputer science, neuroscience, or related degrees; programming skillsStatistics, computer science, or related degrees; programming skills
Work EnvironmentResearch labs, academic institutions, tech companiesTech firms, research organizations, startups
Industry UsageNeuroscience research, AI development, biotechBusiness analytics, machine learning, data analysis
Common Search IntentComparing roles in neuroscience and software engineeringUnderstanding data analysis roles in tech

Summer Computational Neuroscience Software Engineers focus on developing software for neuroscience research, combining programming with understanding neural systems. Summer Data Scientists analyze large datasets to extract insights, often using statistical and machine learning techniques. While both roles require programming skills and data analysis knowledge, the former emphasizes neuroscience applications, whereas the latter centers on business and data-driven decision-making.

What cities near Perry, GA are hiring for Summer Computational Neuroscience Software Engineer jobs?

Cities near Perry, GA with the most Summer Computational Neuroscience Software Engineer job openings:

Summer Computational Neuroscience Software Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Macon, GA • Remote

$80 - $110/hr

Part-time

Posted 21 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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