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Remote Diabetes Research Scientist Jobs (NOW HIRING)

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

Research Scientist

$90K - $100K/yr

Remote - USA, Canada Reports to: Managing Director, Research Science Vacancy : New vacancy The Role: As a Scientist in Research Science, you will analyze and interpret the results of survey research ...

Research Scientist

$90K - $100K/yr

Remote - USA, Canada Reports to: Managing Director, Research Science Vacancy : New vacancy The Role: As a Scientist in Research Science, you will analyze and interpret the results of survey research ...

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

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Remote Diabetes Research Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do remote diabetes research scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote diabetes research scientist 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.

What is a remote diabetes research scientist?

Remote Diabetes Research Scientists are professionals who conduct scientific studies related to diabetes, such as its causes, treatments, and prevention, while working from a remote location rather than a traditional laboratory or office. They often analyze data, design experiments, and collaborate with other researchers virtually. Their work contributes to advancing the understanding of diabetes and developing new therapies, diagnostics, or public health strategies. Remote work allows these scientists to utilize digital tools and communication platforms to perform their research efficiently and collaborate with global teams.

What are the key skills and qualifications needed to thrive as a remote diabetes research scientist?

To thrive as a Remote Diabetes Research Scientist, you need an advanced degree in biomedical sciences or a related field, strong background in diabetes research, and experience with experimental design and data analysis. Proficiency with bioinformatics tools, statistical software (such as R or SPSS), and familiarity with electronic lab notebooks and remote collaboration platforms are essential. Strong analytical thinking, self-motivation, and clear written and verbal communication distinguish those who excel in this role. These skills ensure high-quality, innovative research outcomes and effective collaboration within dispersed scientific teams.

How does working remotely as a diabetes research scientist impact collaboration with clinical teams and data sharing?

As a Remote Diabetes Research Scientist, collaboration with clinical teams, biostatisticians, and data managers is typically facilitated through secure digital platforms and regular virtual meetings. While remote work provides flexibility, it requires strong communication skills and proactive scheduling to ensure alignment on research objectives, data interpretations, and project timelines. Secure data sharing protocols and compliance with regulations like HIPAA are essential, and most organizations provide specialized tools to support remote access to sensitive datasets. Despite physical distance, most teams maintain a collaborative environment through scheduled check-ins, shared documentation, and transparent progress tracking.

What cities are hiring for Remote Diabetes Research Scientist jobs?

Cities with the most Remote Diabetes Research Scientist job openings:

What are the most commonly searched types of Diabetes Research Scientist jobs?

The most popular types of Diabetes Research Scientist jobs are:

What states have the most Remote Diabetes Research Scientist jobs?

States with the most job openings for Remote Diabetes Research Scientist jobs include:

Research Scientist

MindSource

Seattle, WA • Remote

Contractor

Re-posted 23 days ago


Job description

Job Title: Research Scientist
Location: Seattle, WA (Remote)
Duration: 12 months contract with possible of extension

Description
This role is for a Research Scientist who will be responsible for designing and implementing robust processes to evaluate and improve LLM-based models. More specifically, they will work on ensuring that we build models that will accelerate the developer work cycle and improve how software is built.

This researcher will:
Work closely with engineers, PMs, designers, and data scientists to align on research goals and build scalable end-to-end evaluation pipelines.
Report on their research and make recommendations to stakeholders.
Work autonomously and mentor other researchers to support the goals of the research organization.

Minimum Qualifications
4+ years of experience in an applied research setting, or similar.
Proven experience developing benchmarks and metrics to evaluate AI models, preferably with a focus on code generation or natural language processing (NLP).
Familiarity with software engineering principles (unit tests, CI/CD, version control etc.).
Strong programming skills in 1 or more programming languages (including Python).
2 years or more of experience with machine learning and data science algorithms and tools (e.g., PyTorch).
Ability to produce meaningful visualizations and reports, and effectively present results to different audiences and across multiple media formats.
Ability to work independently as well as collaboratively with minimal direction.
Organized, highly attentive to detail, and manages time well.
Experience working in industry.

Preferred Qualifications
Advanced degree (MS/PhD) in data analytics, statistics, or any engineering or computer science field.
Experience with large language models (LLMs) and knowledge of state-of-the-art code generation techniques.
Publication(s) in the fields of artificial intelligence, machine learning or data science.
Familiarity with code generation-specific benchmarks and metrics.
Ability to modify or fine-tune pre-trained models for specialized tasks.
Familiarity with code scanning tools.


Mindsource logo

About Mindsource

Sourced by ZipRecruiter

Beginning with a 100 square foot office in Mountain View, Dave Clark and his entrepreneurial partners built a thriving business in four months with their unique technical knowledge and high-touch approach. Our management team immersed themselves in the intricacies of the most technically challenging and sophisticated technical endeavors, requiring the best and brightest minds. Two decades later, we have used our technical savvy to grow our consultancy and to provide top-tier talent in the areas of mobile development, front-end development, and quality assurance. We provide our consultants with engineering job opportunities, QA analyst jobs, IT job opportunities, and many other rewarding careers with Silicon Valley’s top employers. At every step, we made good on our promise to deliver satisfaction, and because of this emerged as the leader in our field. The MindSource staff is a close-knit family of employees; many have been with the company for over a decade. We are motivated by generating and maintaining long-term relationships with both colleagues and clients as we have done for over 20 years. We value working with the best, and continue to do so, over and over again.

Company size

51 - 200 Employees

Headquarters location

Mountain View, CA, US

Year founded

1994

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