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Remote Postdoctoral Food Science Jobs in California

Enara Health

Remote Nutrition Specialist

San Mateo, CA · On-site +1

$30 - $40/hr

Bachelor's degree in Food &/or Nutritional Science. * Minimum 1 year of experience in clinical ... Remote position with ability to work in multiple time zones. $30 - $40 an hour Salary specifics ...

Enara Health

Remote Nutrition Specialist

San Mateo, CA · Remote

$30 - $40/hr

Bachelor's degree in Food &/or Nutritional Science. * Minimum 1 year of experience in clinical ... Remote position with ability to work in multiple time zones. $30 - $40 an hour Salary specifics ...

NV5

Senior Stormwater/Environmental Scientist-QSD

Torrance, CA · On-site +1

$86K - $116K/yr

... food service, etc.), schools and universities, and development (real estate and construction ... This position is available for our Torrance, CA office and offers a remote/hybrid work setting. You ...

Abbott

Remote Care, Technician I

Pleasanton, CA · On-site +1

We're always looking towards the future, anticipating changes in medical science and technology ... Food and Drug Administration (FDA) regulations, other regulatory requirements, Company policies ...

Danaher

Campaign & Demand-Generation Manager

San Diego, CA · On-site +1

$125K - $145K/yr

Within Danaher the work our life science businesses do saves lives-and we're all united by a shared ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Campaign & Demand-Generation Manager

San Jose, CA · On-site +1

$125K - $145K/yr

Within Danaher the work our life science businesses do saves lives-and we're all united by a shared ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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Remote Postdoctoral Food Science information

What is a remote postdoctoral food scientist?

A remote postdoctoral food scientist is a researcher who has completed their doctoral studies and conducts advanced research in food science, working primarily from a remote location instead of a traditional laboratory or university setting. Their work may involve studying food safety, quality, processing, or nutrition, often collaborating with academic, government, or industry partners via digital tools. These roles require strong self-management skills, effective virtual communication, and the ability to analyze data or conduct experiments using remote-access technology or local lab partnerships.

What are some common challenges faced by remote postdoctoral researchers in food science, and how can they be addressed?

Remote postdoctoral researchers in Food Science often encounter challenges related to limited access to laboratory facilities and specialized equipment, which can affect experimental work. Effective communication and collaboration with on-site teams can also be more complex in a virtual setting. To address these issues, leveraging digital collaboration tools, prioritizing projects suited to remote analysis (such as data modeling or literature reviews), and establishing regular check-ins with mentors and colleagues are essential. Additionally, seeking out virtual networking opportunities and workshops can help maintain professional development and a sense of community.

What are the key skills and qualifications needed to thrive as a remote postdoctoral food scientist?

To thrive as a Remote Postdoctoral Food Scientist, you need an advanced degree (PhD) in food science or a related field, a strong background in research methodology, and expertise in data analysis. Familiarity with laboratory information management systems (LIMS), statistical software like R or SAS, and scientific publishing platforms is typically required. Excellent written communication, self-motivation, and collaboration skills are crucial for working effectively in a remote research environment. These skills ensure rigorous scientific output, effective teamwork across distances, and successful dissemination of research findings.

What are the most commonly searched types of Postdoctoral Food Science jobs in California?

The most popular types of Postdoctoral Food Science jobs in California are:

What are popular job titles related to Remote Postdoctoral Food Science jobs in California?

For Remote Postdoctoral Food Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Postdoctoral Food Science jobs in California look for?

The top searched job categories for Remote Postdoctoral Food Science jobs in California are:

What cities in California are hiring for Remote Postdoctoral Food Science jobs?

Cities in California with the most Remote Postdoctoral Food Science job openings:

Remote Postdoctoral Food Science jobs near you

Rainmaker Fellow, Machine Learning

Rainmaker Technology Corporation

El Segundo, CA • On-site, Remote

Full-time

Medical, Dental, Vision

Posted 23 days ago

Job description

About Rainmaker

Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs.

Rainmaker collects unusual atmospheric datasets because we build sensors, operate aircraft, fly into clouds, and deliberately intervene in atmospheric systems. Our long-term advantage depends on turning those observations into better estimates, forecasts, and operational decisions.

About the Fellowship

The Rainmaker Machine Learning Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.

As a fellow, you will join Rainmaker's R&D team and work alongside our researchers on a scoped machine-learning project drawn from Rainmaker's current research priorities and defined in close collaboration with your research lead or mentor. Project matching will consider available data, mentor capacity, team needs, and your background. You will take responsibility for a concrete workstream while contributing to the broader team's research, reviews, and technical decisions.

You will work with real sensor and operational data, establish credible baselines, build and evaluate models, and leave behind a durable dataset, system, or research artifact that Rainmaker can continue using. Fellows are not expected to arrive with an independent research agenda or define a project in isolation.

Examples of the Work

Fellowship projects change with Rainmaker's research and operational priorities. Examples of the work our ML team may pursue include:

  • Developing a short-range supercooled liquid water opportunity forecast using public NWP and Rainmaker observations.
  • Predicting hail-core growth, motion, splitting, and decay from radar sequences.
  • Building a bounded multimodal atmospheric-state reconstruction pilot.
  • Improving microwave-sounder retrievals using Rainmaker observations.
  • Modeling another scientific or operational problem selected with Rainmaker's ML and atmospheric-science teams.
What You'll Do
  • Translate a scientific or operational question into a measurable ML problem.
  • Build or improve the training and validation dataset needed for the project.
  • Establish simple, reproducible baselines before introducing more complex models.
  • Train, evaluate, and debug models using held-out weather events, regions, or operating conditions.
  • Quantify calibration, uncertainty, generalization, failure modes, and sensitivity to missing or biased data.
  • Work closely with atmospheric scientists to define useful targets, ground truth, physical constraints, and operational success criteria.
  • Produce clear, reusable code and documentation.
  • Present your results to Rainmaker's scientists, engineers, operators, and technical leadership.
  • Deliver a final artifact such as a benchmark dataset, model, prototype product, evaluation report, or research paper.
What We're Looking For
  • Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible.
  • Strong Python programming ability and experience with a modern ML framework.
  • Evidence that you can independently build, test, and debug technical work.
  • Strong quantitative reasoning and an ability to design credible experiments.
  • Interest in noisy, sparse, multimodal, spatial, temporal, or physical data.
  • Ability to make progress on ambiguous research problems while incorporating mentor feedback.
  • Clear written and verbal communication.
  • Availability for full-time, on-site work in El Segundo for the agreed appointment.
Particularly Relevant Backgrounds
  • Machine learning, computer science, applied mathematics, statistics, physics, meteorology, remote sensing, robotics, autonomy, geospatial analysis, or scientific computing.
  • Forecasting, sequence modeling, computer vision, state estimation, sensor fusion, probabilistic modeling, data assimilation, or uncertainty quantification.
  • Weather knowledge is valuable but not required.
What Success Looks Like

By the end of the fellowship, you will have answered a clearly defined technical question and produced a rigorous, reusable result that advances the team's work. Depending on the project, that might be a benchmark dataset, evaluated model, prototype product, forecasting or retrieval improvement, or a well-supported analysis of performance and failure modes.

Success does not require a positive scientific result. A well-supported finding that the available data cannot answer the question-and a concrete recommendation for what Rainmaker should measure next-can be highly valuable.

Fellowship Details
  • Paid, full-time, and on-site in El Segundo.
  • Three-to-six-month appointment, with four months as the standard duration.
  • Rolling applications and flexible start dates based on project and mentor readiness.
  • Possible consideration for future full-time roles, without any promise or expectation of conversion.
Compensation and Benefits

$8,000 per month

Benefits:

  • Full health coverage (medical, dental, and vision insurance)
  • Lunch provided when working in-office and a fully stocked kitchenette
  • Free EV charging at the HQ
$8,000 - $8,000 a month
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