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Remote Diabetes Research Scientist Jobs (NOW HIRING)

This position is eligible to work fully remote in the US; work schedule required to overlap 50% of ... Contribute to research design. (10%) * Maintain scientific awareness and intellectual agility with ...

Remote first work from home culture * Flexible Time Off to help you rest, recharge, and connect ... diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model ...

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 ...

... remote work to bring the best minds together, wherever they are. If you're driven by continuous ... We are expanding our research team and looking for an experienced Research Scientist specializing ...

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.

Senior Research Scientist-Field Day

Madison, WI · On-site +1

$99K - $126K/yr

Scientist III Job Summary: The Wisconsin Center for Education Research (WCER), housed in the ... Remote work is subject to UW-Madison remote-work policies and approval. Key Job Responsibilities:

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

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Remote Diabetes Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Aug 9, 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 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.

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.

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:

Pathology Research Scientist (contract)

Rancho BioSciences

Remote

Contractor

Re-posted 5 days ago


Job description

About Rancho BioSciences, LLC
Rancho BioSciences is a San Diego-based provider of biomedical data curation and data science services for pharma and biotech, spanning drug discovery through translational research. Our teams of scientists, data engineers, and software experts deliver end-to-end solutions across data curation, management, mining, and analysis to help customers accelerate R&D. We partner long-term with blue-chip clients and emerging biotechs, bringing scientific rigor, quality, and a customer-first mindset to every engagement.
About the role
We are seeking an experienced Pathology Research Scientist to join us on a part-time, contractor basis. This individual will provide subject-matter expertise across biomarker discovery, diagnostic development, and computational pathology initiatives, supporting programs spanning translational research through clinical development.
The role requires deep expertise in surgical pathology, digital pathology, and tissue-based assays, and close collaboration with internal and client-facing teams in biomarkers, histotechnology/platform science, data science, and AI/ML. The Pathology Research Scientist will help ensure scientific rigor, clinical relevance, and regulatory-appropriate practices across multiple drug development and diagnostic programs.
The role will be fully remote, however preferred applicants are based on the US East Coast, Western Europe, or in the Asia-Pacific Region.
What you'll do
  • Serve as a pathology subject-matter expert (SME) for biomarker and diagnostic programs, including companion diagnostics, molecular pathology, digital pathology, and associated data science services.
  • Provide scientific guidance through critical literature review and synthesis of primary source data, including peer-reviewed publications, disease staging and grading systems, and established pathology reference standards.
  • Support computational pathology and AI/ML initiatives by translating clinical and histopathologic knowledge into actionable guidance for model design, training, validation, and interpretation.
  • Define disease- and indication-specific annotation guidelines, including relevant tissue compartments, cellular features, morphologic patterns, and common technical artifacts.
  • Perform or review digital slide annotations using validated platforms; provide peer review, quality control, and written validation of human- and algorithm-generated annotations in accordance with project requirements.
  • Support computational pathology and ML/AI teams through the translation of clinical and histopathologic knowledge into actionable guidance for model development, validation, and deployment.
  • Collaborate cross-functionally to ensure pathology-derived outputs are clinically meaningful, analytically sound, and fit-for-purpose within research and development workflows.

Qualifications
  • MD/DO, MBBS, or equivalent, with board certification or board eligibility in Anatomic Pathology (AP) or Anatomic and Clinical Pathology (AP/CP).
  • Surgical pathology subspecialty training or certification strongly preferred.
  • Experience in clinical trials, translational research, or drug development & creation strongly preferred.
  • Demonstrated experience working within cross-functional, multi-stakeholder project teams with successful delivery against multiple competing priorities and quick turnaround expectations.
  • Hands-on experience with digital pathology platforms and AI-enabled or computational pathology workflows strongly preferred.
  • Demonstrated ability to draft, review, and quality-check research protocols and procedural documents with attention to detail and scientific rigor.
  • Ability to work within sponsor-provided systems, environments, and data governance requirements.
  • Advanced degree (e.g., MS, MPH, or PhD) in a life sciences discipline is a plus.