Senior Software Engineer, Genomics

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.