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Bioinformatics Data Engineer Jobs in New York (NOW HIRING)

DualEntry

Analytics & Data Engineering (Lead or Head)

New York, NY · On-site

$135K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As our Lead Analytics & Data Engineer you'll drive both data infrastructure and data insights ... Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer ...

Pfizer, Inc.

Senior Manager, AI, and Data Engineering

New York, NY · On-site

$139K - $231K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking AI & Data Engineers to focus on generalist, use case driven AI solutions where ... bioinformatics, statistics, engineering, or a related quantitative or scientific field strongly ...

Pfizer

Senior Manager, AI, and Data Engineering

New York, NY · On-site

$139K - $231K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking AI & Data Engineers to focus on generalist, use case driven AI solutions where ... bioinformatics, statistics, engineering, or a related quantitative or scientific field strongly ...

PDI

Senior R&D Data Scientist

Woodcliff Lake, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Chemistry or Chemical Engineering * Computational Chemistry/Physics * Bioinformatics Required ... Scientific data engineering and transformation * Laboratory instrumentation and scientific software ...

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All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in New York

Bioinformatics Data Engineer information

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

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

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What are popular job titles related to Bioinformatics Data Engineer jobs in New York?

For Bioinformatics Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Engineer jobs in New York look for?

The top searched job categories for Bioinformatics Data Engineer jobs in New York are:

What cities in New York are hiring for Bioinformatics Data Engineer jobs?

Cities in New York with the most Bioinformatics Data Engineer job openings:

Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Software Engineer, Genomics

Simons Foundation

Manhattan, NY • On-site

$135K - $178K/yr

Other

Re-posted 10 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 rsum 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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