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Bioinformatics Data Engineer Jobs in New Jersey (NOW HIRING)

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Bachelor's or master's degree in bioinformatics, Computational Biology, Biostatistics, Data Science, or a related quantitative field. Strong programming skills in R and/or Python. Experience ...

New

Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools ... Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ...

Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools ... Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ...

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

... correlating biomarker data with: Clinical outcomes, PK/PD measurements, Safety for Patient ... Build and maintain reproducible and scalable bioinformatics pipelines using cloud or high ...

... Bioinformatics, or a related field, plus two (2) years of experience as a Software Development ... of data structures, algorithms, or object-oriented design principles to optimize code performance ...

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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 Jersey?

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

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

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

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

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

Infographic showing various Bioinformatics Data Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Bioinformatics Engineer II (Remote/East Coast)

Parse Biosciences

Newark, NJ โ€ข On-site, Remote

Full-time

Re-posted 12 days ago


Job description

WHO WE ARE

Parse Biosciences, a QIAGEN company, is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.

THE PRODUCT

We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health.

The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!

THE POSITION

As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.

YOU CAN EXPECT

  • An agile, diverse and multidisciplinary team.
  • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time.
  • A place to look at things differently, challenge and offer solutions.
  • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture.
  • A fast-paced environment of continuous improvement, optimised for impact.

IN THIS POSITION, YOU WILL

This position is for full time, 100% remote work. We would expect you to:

  • Always put the user first.
  • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker.
  • Continuously iterate and improve existing single cell pipelines and features.
  • Receive and incorporate feedback from customers and colleagues.
  • Perform troubleshooting of customer analyses.
  • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team.
  • Experiment, test, try, fail and learn continuously.
  • Think like an owner, and take pride in your work.
  • Help and mentor teammates.

FOR THIS POSITION, WE LOOK FOR

  • Someone excited about building tools that will be used by thousands of single cell researchers.
  • A track record of designing, building and improving data analysis software that solves user problems.
  • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level.
  • Fluent in Python and R.
  • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat.
  • Competency working with container-based cloud applications, ideally on AWS.
  • Strong data visualization skills.
  • Significant experience in conducting code reviews and providing feedback to others.
  • Experience and desire to work as part of a close-knit team.
  • Experience using version control systems such as Git/GitHub is preferred.
  • Proficiency building pipelines with Nextflow or similar frameworks is preferred.
  • Experience of integrating AI tools into development workflows is preferred.
  • Knowledge of and/or interest in web development is preferred.
  • Experience working with Bash is preferred.

JOB CONDITIONS

  • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided.
  • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email.

Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including:
  • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents.
  • A 401(k) program with no waiting period to participate
  • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse.
  • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses
  • A transportation program (Seattle only)
  • 12 paid holidays annually and a winter holiday break
  • A generous time off policy
Market Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.
$100,000—$135,000 USD