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Bioinformatic Cloud Developer Jobs (NOW HIRING)

Booz Allen Hamilton

Bioinformaticist

Charlottesville, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development ... Experience working in cloud-based environments using AWS GovCloud or Azure Government * Experience ...

NYULMC

Senior Bioinformatics Programmer

New York, NY · Hybrid

... bioinformatic tools for clinical Next Generation Sequencing (NGS) based diagnostics. In addition ... cloud (GCP / AWS) • Experience with developing and querying databases using SQL queries • ...

University of New Mexico

HPC Cloud Engineer

Albuquerque, NM · Hybrid

$54 - $72.25/hr

This role is central toenabling datadriven research, bioinformatics, and artificial intelligence ... cloud platforms, and highspeed research networks. The position playsa key role in supporting ...

University of New Mexico

HPC Cloud Engineer

Albuquerque, NM · Hybrid

$54 - $72.25/hr

This role is central toenabling datadriven research, bioinformatics, and artificial intelligence ... cloud platforms, and highspeed research networks. The position playsa key role in supporting ...

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Bioinformatic Cloud Developer information

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How much do bioinformatic cloud developer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for bioinformatic cloud developer in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What are some common challenges faced by Bioinformatic Cloud Developers when managing large-scale genomic datasets in the cloud?

Bioinformatic Cloud Developers often encounter challenges related to data security, efficient storage, and computational scalability when working with large-scale genomic datasets. Managing sensitive biological data requires strict adherence to privacy regulations and best practices for secure data handling. Additionally, optimizing workflows for cost-effective and high-performance computing on cloud platforms can be complex, requiring a strong understanding of both bioinformatics tools and cloud infrastructure. Collaboration with researchers, IT teams, and data scientists is also essential to ensure smooth integration and reproducibility of analyses.

What is a Bioinformatic Cloud Developer?

A Bioinformatic Cloud Developer is a professional who designs, builds, and maintains cloud-based software solutions for analyzing biological data, such as genomic sequences. They integrate bioinformatics tools with cloud computing platforms like AWS, Google Cloud, or Azure to ensure scalable, efficient, and secure analysis workflows. These developers often collaborate with researchers and data scientists to automate data processing, storage, and visualization tasks, making large-scale biological data analysis more accessible and efficient.

What are the key skills and qualifications needed to thrive as a Bioinformatic Cloud Developer, and why are they important?

To thrive as a Bioinformatic Cloud Developer, you need strong programming skills (Python, R), experience with bioinformatics workflows, and a background in computational biology or a related field. Familiarity with cloud platforms (such as AWS, Google Cloud, or Azure), containerization (Docker), and workflow management systems (Nextflow, Snakemake) is typically required. Strong problem-solving abilities, teamwork, and effective communication help you navigate complex data and collaborate with interdisciplinary teams. These skills are crucial for building scalable, efficient pipelines that support cutting-edge biological research and data analysis.
Infographic showing various Bioinformatic Cloud Developer job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 88% Full Time, and 8% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.
Senior Software Engineer, Genomics

Senior Software Engineer, Genomics

Simons Foundation

New York, NY

$134K - $176K/yr

Full-time

Posted 16 days ago

Job description

POSITION SUMMARY
The Center for Computational Biology (CCB) is seeking an experienced senior software engineer to join a growing team of developers within CCB and the other centers across the Flatiron Institute who help build and maintain HumanBase . HumanBase is a dynamic and interactive web-based platform that supports thousands of biomedical researchers in exploring the molecular mechanisms of human disease. This position is ideal for an experienced engineer with bioinformatics experience who thrives on solving complex problems at the intersection of large-scale data, pipeline building, advanced analytics, and scientific discovery. This is a high-impact role that directly advances the study of human genomics and disease.
The successful candidate will collaborate closely with researchers at the Center for Computational Biology to translate cutting-edge computational biology research into scalable production systems and data pipelines that power HumanBase. This is a hands-on backend role for an experienced engineer with expertise in biological data, genomics, and -omics technologies. They will also have experience processing large-scale -omics datasets, maintaining production software systems, designing and optimizing data-intensive pipelines, and supporting machine learning workflows in scientific computing environments.
This is a full-time position based in the Simons Foundation offices in New York City. Visit the Simons Foundation career page to learn more.
ESSENTIAL FUNCTIONS/RESPONSIBILITIES
  • Contribute to the design, architecture, and implementation of new HumanBase features and major infrastructure improvements

  • Translate research-stage computational methods into robust, maintainable, and reproducible production software and data pipelines

  • Design, develop, and optimize scalable genomics and biomedical data processing pipelines that ingest, normalize, and transform heterogeneous datasets

  • Integrate machine learning and statistical methods into production workflows for analysis of complex biological datasets

  • Apply software engineering best practices, including code review, testing, version control, documentation, CI/CD, and deployment automation

  • Collaborate closely with computational biologists, data scientists, and external partners to align engineering efforts with scientific and platform goals

  • Evaluate and adopt emerging technologies in bioinformatics, cloud infrastructure, and scientific computing where appropriate to improve platform capabilities and performance

  • Contribute to operational support, maintenance, and continuous improvement of production systems supporting HumanBase

  • Perform other duties or tasks as assigned or required

MINIMUM QUALIFICATIONS
Education
  • B.S. in Computer Science, Software Engineering, Bioinformatics, or a related technical field

Experience
  • At least 8 years of professional software engineering experience, including work on production systems and data-intensive applications

  • Demonstrated ability to collaborate effectively with interdisciplinary teams of different technical and scientific backgrounds

  • Extensive experience with Python, including development of complex data pipelines and use of applicable software libraries

  • Experience working with large, heterogeneous biological datasets in Python (HDF5, Parquet, PyArrow, xarray) -ideally in genomics or biomedical contexts

  • Experience building and operating distributed compute workflows and orchestration systems (e.g., Celery, Dask, SLURM, Nextflow, Snakemake) for large-scale genomic or biomedical data processing

  • Strong experience with relational databases such as PostgreSQL or MySQL, including schema design and query optimization

  • Experience with containerization and cloud-native infrastructure technologies such as Docker and Kubernetes

  • Familiarity with machine learning frameworks and tools, including scikit-learn and PyTorch

  • Demonstrated experience with the full software development lifecycle (SDLC), including testing, CI/CD, version control, and deployment

  • Background working in computational biology, bioinformatics, or a related field, with experience developing software that supports biological research

Related Skills & Other Requirements
  • Excellent communication skills, with the ability to engage technical and non-technical audiences, including senior leadership.

  • Strong cross-functional collaboration skills, with a track record of working effectively with non-engineering stakeholders to translate needs into software solutions.

  • Deep curiosity about science and a passion for building tools that empower scientific discovery.

PREFERRED QUALIFICATIONS
  • Advanced degree in Computer Science, Engineering, Bioinformatics, or a related field.

  • Expertise in bioinformatics, including experience with genomic data processing, analysis pipelines, and related computational methods.

  • Familiarity with AWS or other major cloud platforms.

  • Experience with high-performance computing (HPC) environments.

REQUIRED APPLICATION MATERIALS
  • Please submit a résumé and cover letter stating your interest in the position.

COMPENSATION AND BENEFITS
  • The full-time annual compensation range for this position is $160,000-$200,000 depending on experience.

  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Our Commitment to Expanding Pathways to Science & Opportunities for All:
Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.
The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.

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