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Bioinformatics Developer Jobs in New Jersey (NOW HIRING)

... bioinformatics, computational chemistry, or related scientific disciplines.- Familiarity with Agile development practices.- #MSJR Required Skills: Agile Methodology, Business Value Creation, Cloud ...

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

... bioinformatics, and advanced automation to drive innovation in drug discovery and development. By collaborating across process chemistry, chemical engineering, and analytical chemistry, we are ...

Chemistry or Chemical Engineering * Computational Chemistry/Physics * Bioinformatics Required Knowledge & Experience * 6+ years of combined experience across areas such as: * Statistical modeling and ...

Chemistry or Chemical Engineering * Computational Chemistry/Physics * Bioinformatics Required Knowledge & Experience * 6+ years of combined experience across areas such as: * Statistical modeling and ...

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Bioinformatics Developer information

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$5

$44

How much do bioinformatics developer jobs pay per hour?

As of Aug 13, 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 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 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 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 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $90,355 per year, or $43.4 per hour.

Clinical Development Engineer (Medidata Rave / Technical Support)

Group Nine LLC

Passaic, NJ • On-site

Other

Re-posted 8 days ago


Job description

Clinical Development Engineer (Medidata Rave / Technical Support)

We are seeking a Clinical Development Support Engineer with deep technical expertise in Medidata Rave and related clinical data systems. The role involves supporting critical applications across the Clinical Development lifecycle, managing integrations, automations, and troubleshooting technical issues across application, database, and interface layers. The ideal candidate will possess a mix of domain knowledge in Life Sciences and strong technical capabilities in SQL, Python, API integrations, and modern DevOps/automation tools.

Key Responsibilities
  • Provide technical and functional support for Medidata Rave, including database-level analysis, configuration, user management, and issue resolution.
  • Conduct advanced troubleshooting and root cause analysis for incidents, service requests, and integrations across the Clinical Development ecosystem.
  • Manage support operations and ticket workflows using ServiceNow, ensuring adherence to SLAs and documentation best practices.
  • Develop, optimize, and maintain SQL scripts and stored procedures in Microsoft SQL Server for reporting, validation, and data migration.
  • Create and maintain Python scripts for automation, RPA support, and ad-hoc data processing.
  • Work with RESTful APIs for integration, authentication, and data exchange between systems.
  • Support Java-based authentication utilities (JAR files) and assist in integration troubleshooting.
  • Design dashboards and reports using Tableau to support operational and analytical reporting.
  • Perform data analysis and transformation using SAS for clinical and operational datasets.
  • Utilize Git and Bitbucket for version control and code collaboration.
  • Use Atlassian tools (Jira, Confluence, Bitbucket) for task management, documentation, and collaboration across teams.
  • Manage cron-based automation schedules using VisualCron and perform basic MS-DOS command line operations for log reviews and file management.
  • Participate in validation, change management, and release activities ensuring compliance with GxP and 21 CFR Part 11.
  • Document configurations, workflows, troubleshooting steps, and reusable scripts in Confluence or standard knowledge repositories.
Nice to Have
  • SQL (Advanced–Expert): Complex query writing, joins, and performance optimization.
  • Microsoft SQL Server (Intermediate): Stored procedures and database management.
  • Python (Intermediate): Automation scripting, RPA, and data manipulation.
  • Java (Basic): Working knowledge of authentication modules and JAR handling.
  • REST API (Intermediate): Integration, data exchange, and debugging experience.
  • Tableau (Intermediate): Dashboard and visualization development.
  • SAS (Intermediate): Statistical or operational data analysis and reporting.
  • Git (Intermediate): Branching, merging, and code version management.
  • Atlassian Suite (Intermediate): Jira (task tracking), Confluence (documentation), Bitbucket (source control).
  • VisualCron (Basic): Job scheduling, monitoring, and automation setup.
  • MS-DOS Command Line (Basic): File navigation, scripting, and log handling.
  • Experience with ServiceNow or equivalent ITSM/ticketing system.
Required Skills & Qualifications
  • Bachelor's degree in Computer Science, Life Sciences, Bioinformatics, or related discipline.
  • 4–8 years of experience in Clinical Development or Clinical Data Systems support.
  • Strong hands-on experience with Medidata Rave (front-end and back-end).
  • Excellent troubleshooting and root cause analysis skills across application and data layers.
  • Strong communication, documentation, and cross-functional collaboration skills.
Preferred Qualifications
  • Prior experience in pharmaceutical R&D or clinical data management environments.
  • Familiarity with GxP, 21 CFR Part 11, and other regulatory frameworks.
  • Exposure to cloud platforms and integration monitoring tools.
  • Experience with data visualization and automation initiatives supporting clinical operations.