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Remote Research Scientist Cognitive Science Jobs

Research Scientist, AI

New York, NY · On-site +1

$214K - $375K/yr

We're building frontier AI for fundamental science, as open science, at a scale no one else is ... Our research spans: * Frontier molecular modeling, from protein language models (e.g., ESM) to ...

Research Scientist, AI

Redwood City, CA · On-site +1

$214K - $375K/yr

We're building frontier AI for fundamental science, as open science, at a scale no one else is ... Our research spans: * Frontier molecular modeling, from protein language models (e.g., ESM) to ...

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research ...

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Power Systems The Opportunity At Hitachi Energy, we're not just imagining the future of power systems-we're building it.

We are doing this by combining research-backed clinical care and innovative technology to eliminate ... Doctoral-level terminal degree (PhD, ScD, or equivalent) in Clinical Psychology, Behavioral Science ...

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... science, electrical engineering, or related fields/experience * Strong Python programming skills ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Senior Research Scientist-Field Day

Madison, WI · On-site +1

$99K - $126K/yr

Remote work is subject to UW-Madison remote-work policies and approval. Key Job Responsibilities ... Terminal degree (PhD or equivalent) in education or science. How to Apply: To begin the application ...

PhD degree in Computer Science or related field * A track record of coming up with new ideas or ... Opportunity to utilize research vision to innovate the entire company and make real-world impact

PhD with research or industry experience in biotechnology, pharmaceutical sciences, or drug ... Engagement Details * Remote independent contractor opportunity. * Immediate start available.

Senior Research Scientist

$100K - $128K/yr

They are seeking a Senior Research Scientist to lead foundational research and applied ML work for ... Required : • BS or MS in Computer Science, Machine Learning, or a related field. • Strong ...

Showing results 41-60

Remote Research Scientist Cognitive Science information

See salary details

$50.5K

$130.1K

$174K

How much do remote research scientist cognitive science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote research scientist cognitive science in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.
More about Remote Research Scientist Cognitive Science jobs
What cities are hiring for Remote Research Scientist Cognitive Science jobs? Cities with the most Remote Research Scientist Cognitive Science job openings:
What are the most commonly searched types of Research Scientist Cognitive Science jobs? The most popular types of Research Scientist Cognitive Science jobs are:
What states have the most Remote Research Scientist Cognitive Science jobs? States with the most job openings for Remote Research Scientist Cognitive Science jobs include:
Infographic showing various Remote Research Scientist Cognitive Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist, AI

Biohub

New York, NY • On-site, Remote

$214K - $375K/yr

Full-time

Retirement, PTO

Re-posted yesterday


Job description

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment.
Our research spans:
  • Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond.
  • Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
  • Imaging foundation models trained across the world's largest microscopy datasets
  • Reasoning and agentic systems that connect frontier LLMs with biological foundation models
  • Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
  • Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled
Join Our Team!
As a Research Scientist, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.
What You'll Do
  • Build on and advance the AI systems at the frontier of biology to accelerate science
  • Design novel model architectures and scale pre-training pipelines for our biology foundation models.
  • Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
  • Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
  • Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.
What You'll Bring
  • PhD in computer science or a related field, or equivalent experience
  • Significant experience building and scaling deep learning systems, ideally in research-driven environments
  • Strong engineering and scientific fundamentals
  • Comfort with ambiguity, rapid iteration, and loosely-defined research problems
  • Strong communication skills across technical and scientific audiences
Compensation
The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
Benefits for the Whole You
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time!
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