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Entry Level Remote Integration Engineer Jobs in New Jersey

micro1 AI

Bioinformatics Software Engineer

Paterson, NJ · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... by integrating chemical, biological, and clinical data sources. * Provide expert insights on ...

micro1 AI

Bioinformatics Software Engineer

Newark, NJ · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... by integrating chemical, biological, and clinical data sources. * Provide expert insights on ...

Touché

Back-end Developer

Barnegat, NJ · On-site +1

Currently: totally remote - Regular situation: 3-4 days remote. * Apple + 24" Display equipment at ... Knowledge and experience in messaging and integration patterns servers as Active MQ, Kafka or ...

CoolPay Europe SL

Back-end Developer

Barnegat, NJ · On-site +1

Currently: totally remote - Regular situation: 3-4 days remote. * Apple + 24" Display equipment at ... Knowledge and experience in messaging and integration patterns servers as Active MQ, Kafka or ...

SAIC

EWR - Remote Pilot Operator Supervisor

Newark, NJ · On-site +1

$40K - $80K/yr

We are looking for an experienced, Full-time , Remote Pilot Operator (RPO) Supervisor to join the ... ing services, and professional services. We integrate emerging technology, rapidly and securely ...

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Entry Level Remote Integration Engineer information

What does an entry level remote integration engineer do?

An Entry Level Remote Integration Engineer is responsible for assisting in the setup, configuration, and maintenance of software systems so they can work together seamlessly. They typically work with APIs, databases, and different platforms to ensure data flows smoothly between applications. This role is often remote, meaning the engineer works from home or another location outside of the traditional office. Entry-level positions focus on learning integration processes, troubleshooting issues, and supporting senior engineers, making it a great starting point for a career in IT or software engineering.

What types of projects and technologies do entry level remote integration engineers typically work with, and how much collaboration is involved?

Entry Level Remote Integration Engineers often work on integrating software platforms, cloud services, or APIs for clients or internal teams. Projects may include setting up data pipelines, configuring middleware, or troubleshooting connectivity issues between systems. Collaboration is a key part of the role; you’ll regularly interact with senior engineers, project managers, and sometimes clients to understand requirements and deliver solutions. Expect to participate in virtual team meetings and use communication tools to coordinate tasks and share progress. This collaborative, technology-driven environment offers valuable learning opportunities and exposure to a variety of integration platforms.

What are the key skills and qualifications needed to thrive as an entry level remote integration engineer, and why are they important?

To thrive as an Entry Level Remote Integration Engineer, you need a solid understanding of computer science fundamentals, basic programming skills (often in Python, Java, or similar languages), and a relevant bachelor's degree. Familiarity with integration platforms (like MuleSoft or Dell Boomi), APIs (REST/SOAP), and cloud services (AWS, Azure) is typically required, and foundational certifications can be advantageous. Strong problem-solving abilities, attention to detail, and effective remote communication are essential soft skills for success in this role. These skills enable seamless system integration, efficient troubleshooting, and productive collaboration across distributed teams.

What is the difference between Entry Level Remote Integration Engineer vs Entry Level Remote Network Technician?

AspectEntry Level Remote Integration EngineerEntry Level Remote Network Technician
Required CredentialsBasic understanding of networking, certifications like Cisco CCNA helpfulFundamental networking knowledge, certifications like CompTIA Network+ often preferred
Work EnvironmentRemote technical integration, system setup, and troubleshootingRemote network monitoring, troubleshooting, and support
Industry UsageIT, telecommunications, technology servicesIT, internet service providers, enterprise networks

While both roles involve remote technical work, the Entry Level Remote Integration Engineer focuses on integrating and configuring systems and software, whereas the Entry Level Remote Network Technician primarily handles network troubleshooting and support. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are popular job titles related to Entry Level Remote Integration Engineer jobs in New Jersey?

For Entry Level Remote Integration Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Integration Engineer jobs in New Jersey look for?

The top searched job categories for Entry Level Remote Integration Engineer jobs in New Jersey are:

Entry Level Remote Integration Engineer jobs near you
Infographic showing various Entry Level Remote Integration Engineer job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 100% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Jersey City, NJ • Remote

$80 - $110/hr

Part-time

Posted 18 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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