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Synthetic Data Jobs in Reno, NV (NOW HIRING)

About the company Fieldstone Bio is an early-stage synthetic biology company focused on ... Work collaboratively with the AI Data Team to register and collect data for robust documentation ...

Organic Chemistry 2 Tutor

Reno, NV ยท Remote

$18 - $40/hr

Guides students through designing multistep synthesis routes, predicting regiochemistry and stereochemistry of products, and analyzing spectroscopic data including NMR and IR for structure ...

Organic Chemistry Tutor

Reno, NV ยท Remote

$18 - $40/hr

Guides students through structure determination from spectral data, multi-step synthesis planning, and stereochemical analysis. Emphasizes mechanistic reasoning over memorization and connects organic ...

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis, problem framing, or lightweight spec ...

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis, problem framing, or lightweight spec ...

R&D Engineer III

Carson City, NV ยท On-site

$98K - $145K/yr

Experience developing test plans, analyzing data, investigating failures, and making evidence-based ... Coatings synthesis, characterization, and application testing. * Structural adhesives, bonded ...

Experience developing test plans, analyzing data, investigating failures, and making evidence-based ... Coatings synthesis, characterization, and application testing. * Structural adhesives, bonded ...

AP Biology Tutor

Reno, NV ยท Remote

$18 - $40/hr

Skilled at breaking down complex biological processes including DNA replication, protein synthesis, and signal transduction pathways. Guides students through experimental design, data analysis using ...

Claude Tutor

Reno, NV ยท Remote

$18 - $40/hr

Guides students through constructing clear and detailed prompts, leveraging long context windows for document analysis, using Claude for research synthesis, code review, writing feedback, and data ...

Synthetic Data information

What is the highest paying data job?

In the field of synthetic data, senior roles such as Machine Learning Engineers, Data Scientists, and AI Researchers tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in programming, data modeling, and familiarity with AI tools and frameworks.

What are the key skills and qualifications needed to thrive as a Synthetic Data Engineer, and why are they important?

To thrive as a Synthetic Data Engineer, you need a strong background in computer science, statistics, and data modeling, usually with a degree in a related field. Experience with programming languages like Python or R, familiarity with machine learning frameworks, and knowledge of data privacy tools are essential. Strong analytical thinking, attention to detail, and effective communication help in designing robust data solutions and collaborating with stakeholders. These skills ensure the creation of high-quality synthetic datasets that support research, model training, and compliance with data privacy regulations.

What is the difference between Synthetic Data vs Data Analyst?

AspectSynthetic DataData Analyst
CredentialsNone required, but knowledge of data generation tools helpfulBachelor's degree in data science, statistics, or related field
Work EnvironmentData labs, software development teams, AI/ML projectsBusiness environments, analytics teams, reporting platforms
Industry UsageAI training, testing, privacy complianceData interpretation, reporting, decision support

While Synthetic Data involves creating artificial datasets for testing and training AI models, Data Analysts focus on interpreting real-world data to generate insights. Both roles require data literacy, but Synthetic Data specialists focus on data generation techniques, whereas Data Analysts analyze existing data to inform business decisions.

What are the main challenges faced by professionals working with synthetic data in a production environment?

One of the primary challenges in a synthetic data role is ensuring that the generated datasets accurately reflect real-world scenarios while maintaining privacy and compliance standards. Professionals often need to balance data utility with the risk of introducing bias or unrealistic patterns. Collaboration with data scientists, engineers, and domain experts is essential to validate results and integrate synthetic data into machine learning pipelines. Additionally, staying updated on evolving tools and best practices is crucial for maintaining data quality and relevance.

Which 3 jobs will survive AI?

Synthetic Data roles, data scientists, and AI/ML engineers are expected to persist as AI advances because they involve designing, managing, and improving AI systems, which require specialized expertise. These jobs often require skills in programming, statistical analysis, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in these fields.

What is an example of synthetic data?

Synthetic data in the context of a synthetic data job involves artificially generated data that mimics real datasets, such as computer-generated images, text, or numerical information created using algorithms like generative adversarial networks (GANs). It is used to train machine learning models while preserving privacy and reducing bias. Skills in data modeling and familiarity with data generation tools are important for this role.

What is the salary of a synthetic data engineer?

The salary of a synthetic data engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in data modeling, programming, and machine learning tools like Python or TensorFlow tend to earn higher salaries.

What is synthetic data and how is it used?

Synthetic data refers to artificially generated information that mimics real-world data but does not contain any actual personal or sensitive details. It is commonly used to train machine learning models, test software, and protect privacy when sharing datasets. By using synthetic data, organizations can avoid data privacy concerns and still gain valuable insights or test algorithms effectively. This approach is especially valuable in industries like healthcare and finance where real data may be restricted. Synthetic data can be generated using various statistical techniques, simulations, or machine learning models.
What are popular job titles related to Synthetic Data jobs in Reno, NV? For Synthetic Data jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Synthetic Data jobs in Reno, NV look for? The top searched job categories for Synthetic Data jobs in Reno, NV are:
Infographic showing various Synthetic Data job openings in Reno, NV as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Laboratory Technician, Mining

Fieldstone Bio

Reno, NV โ€ข On-site

Full-time

Posted 12 days ago


Job description

About the company
Fieldstone Bio is an early-stage synthetic biology company focused on environmental monitoring. Our technology, which originated at MIT, combines microbiology, synthetic biology, artificial intelligence, and advanced imagery to solve key challenges in mining, pollution surveillance, and national security.
Position summary
Fieldstone Bio is looking for a highly motivated (Senior) Laboratory Technician to join our Reno, Nevada, Assay Team, where they will work to routinely run established assays for the identification of different metals in mining samples. The successful candidate will independently contribute to sample inventory management and the execution of established SOP workflows. This is a hands-on, lab-based role that will play a critical role in processing samples and delivering data to customers. This role is an opportunity to independently lead the execution of mining-sample workflow processing. The person in this role will report to the Head of Microbiology.
Key Responsibilities:
  • Receipt and organization of mining samples
  • Registration of materials for assay execution
  • Execute cell-based assays to screen for the presence of different metals in mining samples
  • Preparation of assay working materials needed for each week
  • Work collaboratively with the AI Data Team to register and collect data for robust documentation practices
  • Ensure timely delivery of goals for set milestones
  • Document processes, results, and entity registration in an Electronic Lab Notebook (ELN) system
Qualifications:
  • Bachelor's degree (or equivalent) in Microbiology, Bioengineering, Molecular Biology, or a related field
  • 1+ years' of experience with assay execution (prior industry experience is strongly preferred)
  • Ability to work independently and manage multiple tasks simultaneously
  • Strong analytical and problem-solving skills
  • Excellent verbal and written communication
  • Diligent record keeper
  • Thrives in a fast-paced lab environment
  • Thrives working independently
  • Some travel to the Woburn, MA office is expected

Fieldstone Bio is committed to building a diverse and inclusive environment. All applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability.