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Remote Scientific Computing Jobs in Colonia, NJ (NOW HIRING)

Senior Machine Learning Engineer

New York, NY ยท Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... scientific computing environments a plus Strong mathematical foundation in linear algebra ...

Technical Product Marketing Manager

New York, NY ยท On-site +1

$182K - $211K/yr

... computing concepts or the quantum software ecosystem * Background in physics, computer science, or ... Flexible, remote-friendly environment. * Shape quantum adoption in the US Federal landscape.

... Cloud computing services such as Lambda, CloudFormation, API Gateway, S3, SQS, DynamoDB, etc ... Professional Skill Requirements University degree in Software Engineering, Computer Science, or any ...

Embedded Software Engineer

Clifton, NJ ยท On-site +1

$100 - $120K/hr

... computing systems software to be applied to and integrated with engineering, scientific and ... REMOTE WORK Remote work not available TRAVEL Travel not required VISA Candidate visas are not ...

Inside Sales Engineer

New York, NY ยท Remote

$65K - $82K/yr

The ideal candidate will have a cloud computing and cybersecurity background. The Varonis Inside ... Bachelor's degree in computer science, Information Technology, or a related field. Advanced degree ...

Oracle OFSAA Consultant Location Remote Duration 6 +Months Experience Needed: 10 12 Years Skills ... science information technology or a related field Strong experience in Oracle application ...

C++ Software Engineer

New York, NY ยท On-site +1

$175K - $300K/yr

Required Skills * BS/BA degree in Computer Science, Engineering, or another technical related field ... Prefer experience with low-latency computing and hardware-level design * Experience with Git, SVN ...

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Remote Scientific Computing information

See Colonia, NJ salary details

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$32

$53

How much do remote scientific computing jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for remote scientific computing in Colonia, NJ is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $40.82 per hour, depending on experience, location, and employer.

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

What cities near Colonia, NJ are hiring for Remote Scientific Computing jobs? Cities near Colonia, NJ with the most Remote Scientific Computing job openings:

Member of the Technical Staff

Absentia Labs

New York, NY โ€ข Remote

Full-time

Re-posted 20 days ago


Job description

We are always looking for exceptional engineers interested in building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure. If you are excited about working at the intersection of AI, biotech, translational medicine, and scalable scientific systems, we would love to hear from you.


About the Role

Absentia Labs is building AI-driven mechanistic toxicology and translational safety infrastructure designed to improve how biological risk and organ-level toxicity are understood earlier in drug development. Our platform integrates large-scale biological, chemical, and experimental datasets to support predictive, human-relevant safety assessment and New Approach Methodologies (NAMs).

We are looking for highly motivated engineers with broad backgrounds who are excited to solve technically challenging problems in AI, biology, infrastructure, and scientific computing. This is a general application for candidates who may fit current or future engineering needs as the company grows.


Areas of interest may include:

  • Machine learning and AI infrastructure

  • Computational biology and bioinformatics

  • Backend and distributed systems

  • Data engineering and data platforms

  • Scientific software engineering

  • Full-stack product engineering

  • Cloud infrastructure and MLOps

  • Applied AI research

  • Visualization and scientific interfaces


What We Look For
  • Strong technical fundamentals and problem-solving ability

  • Interest in mission-driven work within biotechnology and healthcare

  • Ability to operate in fast-moving, ambiguous startup environments

  • Curiosity, ownership, and willingness to learn across disciplines

  • Experience building scalable systems, models, or products

  • Strong communication and collaboration skills

Nice to Have
  • Experience in biotech, healthcare, life sciences, or scientific computing

  • Familiarity with machine learning workflows or biological datasets

  • Startup or early-stage company experience

  • Interest in translational medicine, toxicology, or computational drug development

Location

Hybrid and remote-friendly depending on role. Preference for candidates open to working closely with the founding team in Boston.


Why Absentia Labs
  1. Work on scientifically meaningful problems with real-world impact

  2. Help shape a foundational platform at the intersection of AI and biology

  3. Collaborate with pharmaceutical, academic, and regulatory stakeholders

  4. Early-stage ownership and opportunity for outsized impact

  5. Mission-driven team focused on improving translational safety and reducing unnecessary animal testing