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Computational Biology Co Op Jobs in Decatur, GA (NOW HIRING)

Emory University

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... and computational biology. Dr. Zhang has published first- and co-author papers in high-profile journals including Nature Cell Biology, Genes & Development, Nature Genetics, Nature Communications ...

Emory University

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... and computational biology. Dr. Zhang has published first- and co-author papers in high-profile journals including Nature Cell Biology, Genes & Development, Nature Genetics, Nature Communications ...

Emory University

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... and computational biology. Dr. Zhang has published first- and co-author papers in high-profile journals including Nature Cell Biology, Genes & Development, Nature Genetics, Nature Communications ...

All JobsComputational Biology Co Op JobsComputational Biology Co Op Jobs in Decatur, GA

Computational Biology Co Op information

See Decatur, GA salary details

$47.4K

$91.8K

$130.3K

How much do computational biology co op jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computational biology co op in Decatur, GA is $91,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $114,200.00 per year, depending on experience, location, and employer.

What is a computational biology co op?

A Computational Biology Co-Op is a temporary, structured work opportunity for students or early-career professionals to gain hands-on experience in applying computational techniques to biological research. Responsibilities may include analyzing biological datasets, developing algorithms, and collaborating with scientists on research projects. Co-Ops typically work in academia, biotech, or pharmaceutical industries, applying computational tools to genomics, structural biology, or drug discovery. The role helps bridge the gap between biology and data science, equipping participants with valuable industry skills.

What kind of projects or tasks can I expect to work on as a computational biology co op?

As a Computational Biology Co Op, you will often assist with processing and analyzing large biological datasets, developing or optimizing algorithms, and performing statistical analyses on experimental results. You may work with teams of biologists, data scientists, and software engineers to explore research questions, interpret data, or help automate routine workflows. Typical tasks can include organizing genomic or proteomic data, running simulations, and preparing reports or visualizations for team meetings. This hands-on experience not only helps you strengthen technical skills but also exposes you to the collaborative problem-solving that drives scientific discovery.

What are the key skills and qualifications needed to thrive in the computational biology co op position?

To thrive as a Computational Biology Co Op, you need a strong background in biology, mathematics, and computer science, often supported by coursework or previous laboratory experience. Familiarity with programming languages such as Python or R, as well as experience with bioinformatics tools and databases, is typically expected. Attention to detail, effective communication, and the ability to work collaboratively with cross-disciplinary teams are valuable soft skills. These skills are crucial for effectively analyzing complex biological data and contributing to ongoing research projects in a dynamic environment.

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Software Engineer Intern/Co-Op - Fall 2026

SoloPulse

Peachtree Corners, GA

Full-time

Re-posted yesterday

Job description

SoloPulse Corp is a dual-use radar company committed to the relentless exploration of the frontiers of radar sensing technology. Through the utilization of novel advanced wave theory algorithms, underpinned by the principles of special relativity, SoloPulse can achieve state of the art resolution and latency metrics. Located in Atlanta, GA, SoloPulse stands as a venture-backed startup, diligently cultivating strategic collaborations to proactively address critical safety imperatives and emerging autonomy needs across both civilian and military domains. Our distinguished team encompasses accomplished engineers, seasoned advisors, and experienced startup veterans, collectively driven by an overarching mission to change the way the world sees. 
 
As a Software Engineer Intern/Co-op at SoloPulse, you will play a critical role in the development of our software solutions. You will work on a wide range of tasks, from algorithm development to frontend-backend integration.
Responsibilities
  • Design, develop, test, and deploy software solutions using a variety of programming languages and technologies
  • Implement and maintain both frontend and backend components of our applications
  • Develop and optimize algorithms to solve complex problems
  • Engineer low-latency solutions to proprietary computational operations
  • Collaborate with cross-functional teams to understand and define software requirements
Qualifications
  • Must be pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering or related quantitative field from an accredited 4-year university
  • Proficiency in Python and C++
  • Familiarity with embedded and real-time systems programming
  • Knowledge of software architecture and design paradigms
  • Strong communication and teamwork skills
  • Willingness to take ownership of projects and work autonomously
Bonus Qualifications
  • A strong portfolio of personal software or hardware-related projects
  • Familiarity with the CUDA toolkit and associated programming practices
  • Familiarity with GPU-accelerated libraries such as PyTorch and OpenGL/ThreeJS
Join our team and be part of a dynamic, collaborative environment where innovation and creativity thrive. We offer competitive compensation and the opportunity to work on groundbreaking projects that will shape the future of radar technology. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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