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Temp Remote Biology Jobs (NOW HIRING)

William and Mary

Lead Black Rail Technician

$18/hr

... Biology Job Family: Staff - Lab & Research Support Worker Sub Type: Wage-Temporary (requires end date - non-benefited) (Fixed Term) (Fixed Term) Job Requisition Primary Location: Remote Work ...

Center for Biological Diversity

... Temporary [X] Regular Reports to: Oceans Program Director Direct Reports to this position: N/A ... California, DC, or Gulf Coast preferred, remote. Is this position in the Bargaining Unit? [X] Yes ...

NCAT

Part-Time Instructor | Physics

Greensboro, NC · On-site +1

Previous applicants need not re-apply for this temporary position. The Department of Physics ... Our faculty perform research in Astronomy, Atmospheric Science and Meteorology, Biological Physics ...

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Temp Remote Biology information

What is the difference between Temp Remote Biology vs Remote Biological Technician?

AspectTemp Remote BiologyRemote Biological Technician
CredentialsBachelor's degree in Biology or related fieldBachelor's degree in Biology or related field
Work EnvironmentRemote, often project-basedRemote, laboratory or field data collection
Industry UsageResearch, biotech, pharmaceuticalsResearch, environmental agencies, labs
Common Search IntentTemporary remote biology rolesRemote biological technician jobs

Temp Remote Biology roles typically involve project-based, temporary work in research or biotech sectors, often requiring a biology degree and offering flexible remote work. Remote Biological Technicians focus on data collection and lab support, also remotely, with similar credentials. Both roles serve research and environmental industries but differ mainly in job focus and responsibilities.

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Temp Remote Biology jobs near you
Infographic showing various Temp Remote Biology job openings in the United States as of June 2026, with employment types broken down into 45% Full Time, 22% Part Time, and 33% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Lead Research Software Engineer, Portable AI Performance Engineering

Lead Research Software Engineer, Portable AI Performance Engineering

Massachusetts Institute of Technology

Cambridge, MA • On-site, Remote

$138K/yr

Other

Posted 23 days ago

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

32nd of 535 rated colleges and universities

Job description

Lead Research Software Engineer, Portable AI Performance Engineering

  • Job Number: 25560

  • Functional Area: Information Technology

  • Department: MA Green High Performance Computing Ctr

  • School Area: MA Green High Performance Computing Ctr

  • Pay Range Minimum: $102,350

  • Pay Range Maximum: $138,700

  • Employment Type: Full-Time Temporary

  • Employment Category: Exempt

  • Visa Sponsorship Available: No

  • Schedule: 2-year position

  • Pay Grade: 10

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Posting Description

LEAD RESEARCH SOFTWARE ENGINEER, PORTABLE AI PERFORMANCE ENGINEERING, MA Green High Performance Computing Center, to be a hands-on research software engineering professional and serve as lead for applied performance engineering for AI workloads. Will work closely with research groups and leading computer industry collaborators to evaluate, adapt, and enhance the portable performance of complex AI research workloads on state-of-the-art hardware. The role will have heavy focus on optimizing existing NVIDIA GPU-based workloads for top-tier AMD GPUs, such as MI355X and beyond and will analyze and profile existing research AI workloads to identify performance bottlenecks and portability challenges; and port and optimize complex AI models and scientific code to run efficiently on AMD MI355X GPUs using ROCm, HIP, and related translation tools.

Job Requirements

REQUIRED: Bachelor’s degree or equivalent with a minimum of five years of work experience in either deeply technical fields and/or computational research experience; strong proficiency in Python and C++, with deep familiarity with AI/ML frameworks (PyTorch, TensorFlow, JAX); hands-on experience with GPU programming models (e.g., CUDA, HIP, or OpenCL); experience with performance profiling and benchmarking tools on Linux-based High-Performance Computing systems; excellent communication skills; ability to collaborate effectively with academic researchers and industry partners; and self-motivated with the ability to work independently in a remote or hybrid environment. PREFERRED: Direct experience with the AMD ROCm software stack and translating CUDA code to HIP; familiarity with AI agentic tools and Large Language Models (LLMs) used for code generation and refactoring; background in supporting large-scale, domain-specific scientific research (e.g., physics, biology, climate science) on institutional clusters; direct experience with one or more open-source schedulers and provisioners; experience with Linux container technologies such as LXC, apptainer and systemd-nspawn; or advanced degree in a relevant technical field.

The Lead Software Engineer must comply with all relevant MGHPCC security policies.

This is a two-year term position.

3/13/2026

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