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Deep Genomics Jobs (NOW HIRING)

Ultima Genomics

Senior Linux Systems Engineer

Fremont, CA · On-site

$125K - $150K/yr

Our mission is to continuously drive the scale of genomic information to enable unprecedented ... Deep knowledge of Linux kernel, NFS and Linux file system performance tuning * Solid background in ...

10x Genomics

Director of Sales Training

Pleasanton, CA · On-site

$231K - $313K/yr

Oversee new hire certification, ensuring reps are proficient in both deep product knowledge and ... Strong scientific fluency - you can learn 10x Genomics products in depth and translate that ...

10x Genomics

Senior Quality Engineer

Pleasanton, CA · On-site

$132K - $179K/yr

About the role 10x Genomics was founded to deliver powerful and reliable tools that fuel key ... We know that behind every scientific breakthrough, there is a deep infrastructure of talented ...

10x Genomics

Senior Quality Engineer

Pleasanton, CA · On-site

$132K - $179K/yr

About the role 10x Genomics was founded to deliver powerful and reliable tools that fuel key ... We know that behind every scientific breakthrough, there is a deep infrastructure of talented ...

10x Genomics

Director of Sales Training

Pleasanton, CA · On-site

$231K - $313K/yr

Oversee new hire certification, ensuring reps are proficient in both deep product knowledge and ... Strong scientific fluency - you can learn 10x Genomics products in depth and translate that ...

Honorhealth

$84K - $104K/yr

This role combines deep expertise in computational biology with strong software engineering and organizational leadership to design, implement, govern, and scale bioinformatics platforms that support ...

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How much do deep genomics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for deep genomics in the United States is $25.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $30.77 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Deep Genomics roles?

Professionals in Deep Genomics roles often encounter challenges such as managing large and complex biological datasets, ensuring data quality, and developing models that generalize well to real-world scenarios. Working in this interdisciplinary field also requires ongoing learning to stay current with advancements in genomics and artificial intelligence. Team members frequently collaborate with wet lab scientists, clinicians, and data engineers, which can require strong cross-disciplinary communication and adaptability. Facing and overcoming these challenges offers valuable growth opportunities and makes significant contributions to the development of innovative therapies.

What are the key skills and qualifications needed to thrive in the Deep Genomics position, and why are they important?

To thrive in a Deep Genomics role, you need a strong background in computational biology, bioinformatics, and machine learning, often supported by a graduate degree in a related field. Expertise with data analysis tools such as Python, R, and deep learning frameworks like TensorFlow or PyTorch is typically required. Creative problem-solving, teamwork, and effective communication are highly valued soft skills. These capabilities are critical for developing advanced genomic solutions and collaborating with interdisciplinary teams to drive breakthroughs in personalized medicine.

What is a Deep Genomics job?

A Deep Genomics job typically involves using artificial intelligence and machine learning to analyze genetic data and discover new insights for drug development, diagnostics, or personalized medicine. Professionals in this field work at the intersection of bioinformatics, computational biology, and AI, applying algorithms to predict the impact of genetic variations on health. Roles may include research scientists, bioinformaticians, data scientists, or software engineers specializing in genomics. These jobs are common in biotech companies, pharmaceutical firms, and research institutions aiming to advance precision medicine.

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What cities are hiring for Deep Genomics jobs? Cities with the most Deep Genomics job openings:
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Deep Genomics jobs near you
Infographic showing various Deep Genomics job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $53,852 per year, or $25.9 per hour.
Senior Software Engineer, Genomics

Senior Software Engineer, Genomics

Simons Foundation

New York, NY • On-site

$134K - $176K/yr

Full-time

Re-posted 7 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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