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Bioinformatics Developer Jobs in New Jersey (NOW HIRING)

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Bioinformatics Developer information

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$5

$44

How much do bioinformatics developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for bioinformatics developer in New Jersey is $43.44, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $43.70 per hour, depending on experience, location, and employer.

What is a bioinformatics developer?

A Bioinformatics Developer is a professional who combines expertise in biology, computer science, and mathematics to develop software tools and algorithms for analyzing biological data. They often work with genomic, proteomic, or other molecular data to help researchers interpret complex biological information. These developers play a key role in advancing research in areas such as genomics, drug discovery, and personalized medicine by creating efficient computational solutions to process and visualize large datasets.

What are the key skills and qualifications needed to thrive as a bioinformatics developer?

To thrive as a Bioinformatics Developer, you need a strong background in biology, computer science, and mathematics, often supported by a degree in bioinformatics, computer science, or a related field. Proficiency with programming languages (such as Python, R, or Java), bioinformatics tools (like BLAST, GATK), and experience with databases and cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex biological data into actionable insights. These skills and qualities are essential for developing robust computational solutions that advance research and innovation in life sciences.

What are some common challenges faced by bioinformatics developers when integrating new data sources into existing pipelines?

Bioinformatics Developers often encounter challenges when integrating new data sources, such as ensuring compatibility with existing pipeline formats, managing diverse data types, and maintaining data quality and integrity. Adapting to rapidly evolving data standards and accommodating large-scale datasets can also be complex, requiring frequent updates and optimization of scripts or software. Collaboration with biologists and data scientists is essential to accurately interpret data requirements and troubleshoot issues, making communication skills and adaptability key in this role.

What are popular job titles related to Bioinformatics Developer jobs in New Jersey?

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

Infographic showing various Bioinformatics Developer job openings in New Jersey as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $90,355 per year, or $43.4 per hour.

Director, Semantic & Knowledge Engineering

Socket.dev

East Hanover, NJ • On-site

$217 - $361/hr

Other

Medical, Retirement, PTO

Posted 6 days ago


Job description

Job Description Summary

#LI-Hybrid

Reporting to the Executive Director, Semantic and Knowledge Engineering, the Director, Semantic and Knowledge Engineering leads the design, implementation, and governance of enterprise semantic models, ontologies, knowledge graphs, and metadata frameworks that power NovaOS. This role partners across Applied AI, Data Science, Product, and Engineering to establish trusted semantic assets that enable interoperable data, AI reasoning, retrieval-augmented generation (RAG), and scalable enterprise intelligence.

The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.

Job Description Key Responsibilities:
  • Lead the design and implementation of enterprise ontologies, taxonomies, businessvocabularies, and semantic models.

  • Develop andmaintainknowledgegraphs and semantic services that support AI, analytics, search, and business applications.

  • Partner with AI, Data Science, Product, and Engineering teams to integrate semantic capabilities intoNovaOSproducts and platforms.

  • Establish metadata standards, semantic governance processes, and quality controls for enterprise knowledge assets.

  • Support AI initiatives by developing semantic foundations for RAG, agentic AI, reasoning engines, and contextual search.

  • Evaluate emerging semantic technologies and recommend improvements to the enterprise knowledge architecture.

  • Lead and mentor semantic and knowledge engineers while promoting reusable engineering patterns and technical excellence.

Essential Requirements:
  • Education:Bachelor'sor advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, ora relateddiscipline.

  • 8+ years of experience in semantic technologies, knowledge engineering, metadata management, or enterprise information architecture.
  • Hands-onexpertisewith ontologies, RDF/OWL, knowledge graphs, graph databases, metadata management, and semantic web technologies.
  • Experience implementing semantic solutions that enable AI, analytics, interoperability, and enterprise search.
  • Strong leadership, communication, and stakeholder management skills with experience leading cross-functional technical initiatives.
Desirable Requirements:
  • Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms.
  • Experience in pharmaceutical, healthcare, or other highly regulated industries.
Novartis Compensation Summary:

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered isdeterminedbased on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health,lifeand disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days,holidaysand other leaves.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis

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