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Bioinformatics Software Engineer Jobs in New Jersey

micro1 AI

Bioinformatics Software Engineer

Newark, NJ · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Elizabeth, NJ · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Paterson, NJ · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

MSD Malaysia

Software Engineer - AI Development

Rahway, NJ · On-site

$87 - $137/hr

## Software Engineer - AI DevelopmentApplyremote type: Hybridlocations: USA - New Jersey - Rahway: USA ... Background or interest in life sciences, bioinformatics, computational chemistry, or related ...

New

MSD

Software Engineer - AI Development

Rahway, NJ

$87K - $137K/yr

As a Software Engineer, you will work alongside experienced engineers, scientists, and product ... Background or interest in life sciences, bioinformatics, computational chemistry, or related ...

Merck & Co.

Software Engineer - AI Development

Rahway, NJ · On-site

$87K - $137K/yr

... As a Software Engineer, you will work alongside experienced engineers, scientists, and product ... life sciences, bioinformatics, computational chemistry, or related scientific disciplines ...

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All JobsBioinformatics Software Engineer JobsBioinformatics Software Engineer Jobs in New Jersey

Bioinformatics Software Engineer information

See New Jersey salary details

$43.7K

$133.1K

$242.1K

How much do bioinformatics software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for bioinformatics software engineer in New Jersey is $133,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $159,400.00 per year, depending on experience, location, and employer.

What is a bioinformatics software engineer?

A Bioinformatics Software Engineer develops and maintains software tools, algorithms, and databases for analyzing biological data, such as genomic sequences and protein structures. They work at the intersection of computer science and biology, using programming languages like Python, Java, or R to process and interpret large-scale biological datasets. Their role is crucial in fields like genomics, drug discovery, and personalized medicine, where computational solutions help researchers derive meaningful insights from complex biological information.

What are the typical daily responsibilities of a bioinformatics software engineer?

As a Bioinformatics Software Engineer, your day-to-day responsibilities typically include designing, developing, and maintaining software tools or pipelines for analyzing biological data such as DNA, RNA, or protein sequences. You may collaborate closely with researchers and scientists to understand biological problems and translate them into computational solutions, reviewing and optimizing code for efficiency and scalability. Troubleshooting data processing issues, integrating new algorithms, and contributing to documentation are also common tasks. Additionally, you might participate in cross-functional meetings and keep up with emerging technologies and trends in the field.

What are the key skills and qualifications needed to thrive in the bioinformatics software engineer position, and why are they important?

To thrive as a Bioinformatics Software Engineer, you need a strong background in software development (especially with Python, R, or C++), algorithm design, and biological data analysis, usually supported by a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), version control systems (such as Git), and experience with cloud computing or high-performance computing environments is highly valued. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with biologists and data scientists set candidates apart. These competencies are crucial for efficiently developing reliable software solutions that support complex biological research and data-driven discoveries.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in New Jersey? The most popular types of Bioinformatics Software Engineer jobs in New Jersey are:
What are popular job titles related to Bioinformatics Software Engineer jobs in New Jersey? For Bioinformatics Software Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Software Engineer jobs in New Jersey look for? The top searched job categories for Bioinformatics Software Engineer jobs in New Jersey are:
What are popular job titles related to Bioinformatics Software Engineer jobs in NJ? For Bioinformatics Software Engineer jobs in NJ, the most frequently searched job titles are:
Bioinformatics Software Engineer jobs near you
Infographic showing various Bioinformatics Software Engineer job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,050 per year, or $64 per hour.

Bioinformatics Software Engineer

micro1 AI

Newark, NJ • Remote

$80 - $110/hr

Part-time

Posted 9 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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