remote sensing scientist

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 <ul>
  <li>
   <strong>
    Title:
   </strong>
   Mass Spectomery Scientist (Remote)
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  <li>
   <strong>
    Engagement:
   </strong>
   Hourly contract (independent contractor)
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  <li>
   <strong>
    Location:
   </strong>
   Remote
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  <li>
   <strong>
    Compensation:
   </strong>
   $100 &ndash; $300 per hour
  </li>
 </ul>
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 <p>
  <strong>
   Job Summary
  </strong>
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 <p>
  Join our customer&rsquo;s innovative team as a
  <strong>
   Mass Spectrometry Scientist
  </strong>
  , where you will drive scientific discovery through advanced mass spectrometry techniques in a flexible remote setting. This role offers the opportunity to contribute deep analytical expertise in a collaborative environment while advancing high-impact research initiatives. You will translate complex analytical data into clear, actionable insights for multidisciplinary stakeholders.
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  <strong>
   Key Responsibilities
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   Develop, optimize, and validate mass spectrometry (MS) methods for qualitative and quantitative analysis of complex biological, chemical, or environmental samples.
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   Operate, maintain, calibrate, and troubleshoot mass spectrometry instrumentation and associated laboratory systems.
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   Perform rigorous data interpretation and statistical analysis to ensure scientific accuracy and reproducibility.
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   Collaborate with R&amp;D, quality, regulatory, and cross-functional teams to support project objectives and timelines.
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   Prepare detailed technical documentation, experimental protocols, validation reports, and scientific summaries.
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   Stay current with advancements in MS technologies, ionization techniques, and analytical workflows.
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   Present findings clearly through written reports, publications, and stakeholder presentations.
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  <strong>
   Required Skills and Qualifications
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   Advanced hands-on expertise in mass spectrometry techniques (e.g., LC-MS/MS, GC-MS, MALDI-TOF, HRMS).
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   Strong background in analytical method development, validation, and troubleshooting.
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   Ability to interpret complex datasets with high scientific rigor.
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   Proficiency in MS data processing and analysis software.
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   Excellent written and verbal communication skills with strong attention to detail.
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   Experience working collaboratively in multidisciplinary scientific environments.
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   Ability to manage multiple priorities effectively in a remote work setting.
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   MS or PhD in Chemistry, Biochemistry, Analytical Science, Pharmaceutical Sciences, or a related field.
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 </p>
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   Preferred Qualifications
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   Experience with industry-standard MS software (e.g., Xcalibur, MassLynx, Analyst, or similar platforms).
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   Experience in regulated environments (GLP, GMP, ISO standards).
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   Publication record or conference presentation experience.
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   Background in pharmaceutical, biotech, proteomics, metabolomics, or environmental analysis applications.
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  <strong>
   APPLY NOW !
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Mass Spectomery Scientist (Remote)

North Dakota State University

<p><b>Overview</b><br/>A Temporary Research Assistant position is available in USDA Agricultural Research Service at Edward T. Schafer Agricultural Research Center in Fargo, ND and hired through North Dakota State University. We are seeking a motivated and detail-oriented Research Assistant to join our Remote Sensing and Imaging team in Sugarbeet Research Unit. This internship offers an excellent opportunity for individuals interested in gaining hands-on experience in automation research on agricultural crop production. The ideal candidate will assist in various research projects on drone, field robot, and satellite platforms while developing their skills in sensing, control, and imaging techniques and data analysis.</p><p><b>Responsibilities</b></p><ul><li>Assist with conducting experiments and research projects under the supervision of senior researchers.</li><li>Assist in designing and troubleshooting the hardware integration and in-house software for sensing and control interface</li><li>Maintain accurate records of experiments, analyze data, and report summarizing findings.</li><li>Collaborate with team members to ensure a safe and efficient laboratory environment.</li></ul><p><b>Qualifications</b></p><ul><li>Currently pursuing or recently completed a degree in Engineering, Computer Science, or a related field.</li><li>Familiarity with Python, Raspberry Pi, and Arduino is preferred.</li><li>Experience or course work related to Image Processing, Field Robotics, GIS, Drone, and Precision Agriculture is advantageous.</li><li>Strong analytical skills with the ability to interpret scientific data effectively.</li><li>Excellent organizational skills and attention to detail are essential for maintaining accurate records.</li><li>Ability to work independently as well as part of a collaborative team environment.</li></ul><p>This internship provides an invaluable opportunity to gain practical experience in research while contributing to important scientific advancements in the field.</p><p>Job Types: Full-time, Part-time, Temporary, Internship</p><p>Pay: $16.00 - $20.00 per hour</p><p>Ability to Commute:</p><ul><li>Fargo, ND 58102 (Required)</li></ul><p>Ability to Relocate:</p><ul><li>Fargo, ND 58102: Relocate before starting work (Required)</li></ul><p>Work Location: In person</p>

Temporary Research Assistant - Machine Learning & Remote Sensing

YO IT CONSULTING

<div><div><div><p><b>Engagement Type:</b> Independent Contractor</p>
<p><b>Work Mode:</b> Remote | Global<br>
<b>Schedule:</b> Part-Time (15&ndash;25 hrs/week, flexible up to 40 hrs)<br>
<b> Duration: </b>1&ndash;3 Months | Immediate Start</p>
 <p><b>Role Overview</b></p>
<p>Seeking <b>Physics PhD&rsquo;s</b> (Graduated) for a premier project with one of the world's top AI labs.</p>
<p>In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain.</p>
<p>You're a good fit if you:</p>
<ul><li><p>Received your undergraduate degree in <b>US/UK/Canada/Western Europe</b></p>
</li><li><p>Received your graduate degree at a top US/UK/Canada/Western European university</p>
</li><li><p>Have high <b>attention to detail</b></p>
</li><li><p>Have exceptional <b>written and verbal communication skills</b></p>
</li><li><p>Have excellent <b>proficiency in English</b></p>
</li></ul><p>Here are more details about the role:</p>
<ul><li><p>The role is ongoing starting in February and continuing with rolling applications</p>
</li><li><p>Experts are expected to contribute 4-6 tasks per week, each taking several hours to complete</p>
</li><li><p>The work will require rigorous physics expertise and ability to follow complex instructions</p>
</li></ul><p>Screening Process:</p>
<ul><li>You will need to complete a short AI interview and form - the whole application process should last 20-40 minutes</li>
</ul><p></p><p>Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!</p>
<p>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Contract and Payment Terms</b></h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Physics Expert - Remote

<div><p>This project focuses on the <b>Environmental Science</b> domain, where you will assess agent-generated research reports related to climate data, pollution measurements, resource consumption, species population tables, and weather patterns.</p>
<p><b>Who We're Hiring</b><br>
We are looking for evaluators with a background in Environmental Science, Biology (with an Environmental focus), Ecology, Climate Science, or related fields.</p>
<p>This role is ideal for professionals who have:</p>
<ul><li><p>2&ndash;3 years of professional experience in Environmental Science, ecological research, sustainability analysis, or related roles</p>
</li><li><p>Experience working with climate datasets, environmental monitoring systems, or pollution measurement reports</p>
</li><li><p>Hands-on exposure to analysing resource consumption data (water, energy, land use, etc.)</p>
</li><li><p>Experience interpreting species population tables, biodiversity data, or ecosystem assessments</p>
</li><li><p>Familiarity with weather pattern analysis and environmental trend reporting</p>
</li><li><p>Experience sourcing and validating environmental datasets, tables, and scientific statistics from credible public sources</p>
</li><li><p>Strong analytical skills and attention to detail</p>
</li><li><p>Excellent written communication skills</p>
</li><li><p>Comfort working independently and asynchronously</p>
</li></ul><p><b>Educational Background:</b><br>
Bachelor&rsquo;s or Master&rsquo;s degree in Environmental Science, Biology, Ecology, Climate Science, Sustainability Studies, or a related field.</p>
<p><b>Key Responsibilities</b></p>
<ul><li><p>Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity</p>
</li><li><p>Assess the correctness of insights derived from climate data, pollution metrics, and resource consumption reports</p>
</li><li><p>Verify species population data, environmental tables, and weather-related statistics using reputable public and scientific sources</p>
</li><li><p>Identify inconsistencies in environmental analysis, ecological reporting, and sustainability assessments</p>
</li><li><p>Work independently to complete evaluations within deadlines</p>
</li><li><p>Maintain consistency and precision across all assigned tasks</p>
</li></ul><p><b>Role Details</b></p>
<ul><li><p>Part-time (20&ndash;40 hours/week) with flexible scheduling</p>
</li><li><p>Competitive rates: $40&ndash;$60/hour depending on expertise</p>
</li></ul><p>All qualified applicants are considered without regard to legally protected characteristics, and reasonable accommodations are provided upon request.</p>
<p><b>Contract and Payment Terms</b></p>
<ul><li><p>You will be engaged as an independent contractor.</p>
</li><li><p>This is a fully remote role that can be completed on your own schedule.</p>
</li><li><p>Projects can be extended, shortened, or concluded early depending on needs and performance.</p>
</li><li><p>Payments are made weekly via Stripe or Wise based on services rendered</p></li></ul></div>

Environmental Science Evaluator Remote

<div><div><div><h2 class="jobSectionHeader"><b>Collaborating with a leading AI research lab on a project to advance frontier astronomy problem-solving. We are looking for astronomy experts who hold a PhD or Master&rsquo;s degree, or have experience participating in the International Astronomy Olympiad (IAO). The goal of this project is to create novel, clear, and challenging Olympiad-style astronomy problems that cause frontier AI models to fail (i.e., generate an incorrect response) and to support the training of cutting-edge AI reasoning systems</b></h2>
<p></p><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li><p>Write original and advanced IAO-style astronomy problems to challenge frontier AI models</p>
</li><li><p>Evaluate AI-generated solutions for correctness, clarity, and reasoning quality, and identify where models fail</p>
</li><li><p>Identify logical flaws, incomplete reasoning, or insufficiently rigorous derivations</p>
</li><li><p>Provide clear, concise, and correct solutions and reasoning, formatted in LaTeX</p>
</li><li><p>Maintain extremely high standards of precision, scientific rigor, and problem difficulty</p><br>
</li>
</ul></div></div></div></div></div></div></div></div><div></div><h2 class="jobSectionHeader"><b>More About the Opportunity</b></h2>
<ul><li><p><b>Expected commitment:</b> 20 hours/week minimum; up to 40 hours/week available</p>
</li><li><p><b>Project length:</b> ~2 months, with potential for extension</p>
</li><li><p><b>Rolling start dates; setup typically within 1&ndash;2 days of approval</b></p>
</li></ul><h2 class="jobSectionHeader"><b>6. Application Process</b></h2>
<div><ul><li><p>Submit your <b>resume or CV</b> highlighting your astronomy background and relevant achievements</p>
</li></ul><ul><li><p>Complete a brief <b>interview (20&ndash;30 minutes)</b></p>
</li></ul><ul><li><p>Submit a <b>short form</b> detailing your experience writing problems and competing in astronomy or related Olympiads</p>
</li></ul><ul><li><p>Selected applicants will be contacted within a few days with next steps</p>
</li></ul></div><p>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Contract and Payment Terms</b></h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Astronomy Expert - Remote

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Mass Spectomery Scientist (Remote)

Temporary Research Assistant - Machine Learning & Remote Sensing

Physics Expert - Remote

Physics Expert - Remote

Physics Expert - Remote

Environmental Science Evaluator Remote

Astronomy Expert - Remote