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Internship Bioinformatics Software Engineer Jobs in Princeton, NJ

Sc. plus a minimum of 3 years' experience in Bioinformatics, Computer Science, Programming, Software Development, or related field Previous experience with NGS data and associated bioinformatics ...

A note before you apply We're hiring Software Engineering Interns! This is a full-time (40+ hours a week) salaried 12 month internship where you'll work closely with our Engineering, Product, and ...

The ideal candidate combines strong software engineering skills with deep domain expertise in cancer genomics, clinical molecular testing, and bioinformatics data standards. Job Responsibilities:

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build ...

During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build ...

During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build ...

During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build ...

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Internship Bioinformatics Software Engineer information

See Princeton, NJ salary details

$14

$26

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How much do internship bioinformatics software engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship bioinformatics software engineer in Princeton, NJ is $26.64, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $30.24 per hour, depending on experience, location, and employer.

What does an internship bioinformatics software engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What are the key skills and qualifications needed to thrive as an internship bioinformatics software engineer?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific environments.

What types of projects do internship bioinformatics software engineers typically work on?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

Senior Software Engineer, Genomics

simons foundation

New York, NY โ€ข On-site

$134K - $176K/yr

Full-time

Re-posted 13 hours ago


Job description

POSITION SUMMARY

TheCenter 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 andmaintainHumanBase.HumanBaseis 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 translatecutting-edgecomputational biology research into scalable production systems and data pipelines that powerHumanBase. This is a hands-onbackendrole for an experienced engineer withexpertisein biological data, genomics, and -omics technologies. They will also have experience processing large-scale -omics datasets,maintainingproduction software systems,designingandoptimizingdata-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 Foundationcareer pageto learn more.

ESSENTIAL FUNCTIONS/RESPONSIBILITIES

  • Contribute to the design, architecture, and implementation of newHumanBasefeatures and major infrastructure improvements

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

  • Design, develop, andoptimizescalable 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 whereappropriate toimprove platform capabilities and performance

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

  • Perform other duties or tasks as assigned orrequired

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 andoperatingdistributed 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 andPyTorch

  • 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, witha track recordof 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.

  • Expertisein 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 resume and cover letter stating your interest in the position.

COMPENSATION AND BENEFITS

  • The full-time annual compensation range for this position is$160,000-$200,000depending 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 toscienceand mathematicscareers.

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.