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This position was posted on March 3, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
United States
Job Type
Part-time
Category
Data Scientist
Date Posted
March 3, 2026
Full Job Description
📋 Description
- • We are seeking exceptional, doctoral-level scientists with profound expertise in Clinical Research, Chemistry, and Biology to join a groundbreaking initiative at a leading AI research laboratory.
- • This unique opportunity allows you to leverage your deep scientific knowledge to directly influence the development of next-generation large language models (LLMs) and advanced AI systems.
- • Your primary contribution will be to design complex, high-quality scientific problems and generate technically rigorous content that will serve as the foundation for training and refining AI models in specialized scientific domains.
- • You will play a pivotal role in shaping the future of AI-driven research tools by providing structured scientific insights and evaluating experimental frameworks and study methodologies.
- • This position is ideal for accomplished researchers who are passionate about contributing to cutting-edge AI innovation while valuing flexibility and independence in their work.
- • As a Clinical Research Expert, you will be instrumental in bridging the gap between complex scientific disciplines and the rapidly evolving field of artificial intelligence.
- • Your responsibilities will encompass the meticulous design of challenging, domain-specific research problems that push the boundaries of current knowledge in clinical research, chemistry, and biology.
- • You will critically evaluate experimental frameworks and study methodologies, ensuring the scientific validity and rigor of the data used to train AI models.
- • A key aspect of this role involves generating high-quality, technically accurate content within your area of specialization, which will be used to enhance the capabilities of advanced AI systems.
- • You will contribute structured scientific insights, helping to improve the reasoning, accuracy, and domain-specific knowledge of AI models.
- • Maintaining exceptional attention to detail and clarity in all written deliverables is paramount, ensuring that the scientific information conveyed is precise and unambiguous.
- • Experts are expected to dedicate approximately 4–6 hours per week to completing assigned tasks, with each task requiring several hours of focused, in-depth work.
- • This role offers a unique chance to apply your academic and research experience in a novel and impactful way, contributing to the advancement of AI in scientific discovery.
- • You will be working with a team dedicated to building AI tools that can accelerate research, improve diagnostic capabilities, and unlock new therapeutic avenues.
- • The insights you provide will directly inform the development of AI that can understand, interpret, and generate scientific knowledge at an unprecedented scale.
- • This is an opportunity to be at the forefront of AI research, applying your specialized knowledge to solve some of the most pressing challenges in science and medicine.
- • Your work will contribute to the creation of AI assistants that can aid researchers, clinicians, and scientists in their daily work, accelerating the pace of discovery and innovation.
- • The flexibility of this role allows you to continue pursuing other professional interests or academic endeavors while making a significant impact.
- • You will be engaging as an independent contractor, providing you with autonomy over your schedule and work.
- • The fully remote nature of the position eliminates geographical constraints, allowing you to work from anywhere with a stable internet connection.
- • Weekly payments ensure consistent and timely compensation for your contributions.
- • This role is designed for individuals who possess a deep understanding of scientific principles and a keen interest in the application of AI to solve complex problems.
- • Your expertise in clinical study design, experimental methodology, biochemical or chemical analysis, and translational research will be highly valued and directly applied.
- • The ability to communicate complex scientific concepts clearly and concisely, both in writing and verbally, is essential for success in this role.
- • We are looking for individuals who are not only experts in their fields but also possess a forward-thinking mindset, eager to explore the intersection of science and artificial intelligence.
- • This is more than just a task-based role; it's an opportunity to be a foundational contributor to a revolutionary AI project.
- • Your input will help ensure that AI models are grounded in sound scientific principles and can reliably assist in scientific endeavors.
- • The project aims to create AI that can assist in hypothesis generation, experimental design, data interpretation, and scientific literature review, all of which will benefit from your specialized knowledge.
- • By participating, you will gain exposure to the cutting edge of AI development and its application in scientific research, enhancing your own professional development.
- • The flexibility offered means you can contribute meaningfully without disrupting your existing commitments, making it an ideal supplementary role for established professionals.
- • We are committed to fostering an environment where scientific expertise is recognized and valued, and your contributions will be integral to our success.
Skills & Technologies
About Weekday Technologies Inc.
Weekday Technologies operates a hiring platform that connects tech companies with pre-vetted software engineers through community referrals. The product crowdsources candidate recommendations from existing engineering teams, verifies skills, and offers employers a searchable talent pool for contract and full-time roles. Founded in 2021 and headquartered in San Francisco, the company focuses on reducing time-to-hire for startups and scale-ups by leveraging trusted peer networks rather than traditional recruiting pipelines.
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