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Synthetic Data Jobs in Iowa (NOW HIRING)

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 2 Tutor

Ames, IA · 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 ...

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

Organic Chemistry Tutor

Ames, IA · 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 ...

... synthesis, solid-state science, material characterization, and highly potent APIs. Your Work Matters. At Cambrex, we strive to build a culture where all colleagues have the opportunity to: * engage ...

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 ...

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 ...

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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 Iowa? For Synthetic Data jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Synthetic Data jobs? Cities in Iowa with the most Synthetic Data job openings:

Postdoctoral Research Associate - Ames National Laboratory

Iowa State University

Ames, IA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Iowa State University rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

383rd of 613 rated colleges and universities


Job description

Position Title:
Postdoctoral Research Associate - Ames National Laboratory
Appointment Type:
Post Doc/Trainee
Job Description:
Summary of Duties and Responsibilities:
The Critical Materials Innovation Hub (CMI), with Iowa State University at the Ames National Laboratory, a Department of Energy National Laboratory affiliated with Iowa State University, is searching for a qualified Postdoctoral Research Associate to conduct experimental research in rare earth metallization, critical materials synthesis, materials processing, characterization, extraction, and recycling.
The successful candidate will work with Principal Investigators, CMI scientists, and project collaborators on projects related to critical materials synthesis and processing. The primary focus of this position will be hands-on experimental development of metallothermic routes for producing rare earth metals from rare earth compounds, including oxides, chlorides, and fluorides. This work builds on the "Ames Process" for rare earth metallization and seeks to develop lower-temperature metallothermic approaches that improve yield, purity, metal-slag separation, scalability, and overall process efficiency.
The postdoctoral researcher will prepare and process rare-earth-containing reaction mixtures, including mixing and pre-processing reactants, handling air- and moisture-sensitive materials, loading and sealing reactants in appropriate containers or crucibles, and performing high-temperature reactions using induction heating, tube furnaces, box furnaces, vacuum/inert atmosphere processing, or related thermal processing methods. The researcher will retrieve and separate products after reaction, including rare earth metal or alloy phases and salt/slag byproducts; evaluate metal-slag separation; analyze yields and impurities; and develop improved processing parameters for temperature, time, composition, atmosphere, additives, crucible/container materials, and mixing or stirring methods. The successful candidate will contribute to other ongoing and emerging CMI and Ames National Laboratory projects related to critical materials. These may include synthesis and processing of rare-earth-containing compounds, rare earth and transition-metal intermetallics, magnetic materials, magnet processing, magnet discovery, recycling of critical materials involving hydrometallurgical or wet-chemical recovery routes, mechanochemical synthesis or activation, and preparation of samples for projects involving process optimization, automation, and data-driven materials discovery. This position is primarily intended for a researcher with strong hands-on expertise in materials synthesis, processing, and characterization.
The work will include developing, planning, and performing experiments; maintaining detailed laboratory records; critically analyzing experimental results; optimizing processes to improve yield, purity, reaction completion, phase selectivity, and reproducibility; and generating reports, presentations, and manuscripts for publication. The position requires the ability to work both independently and in a team setting with a diverse group of researchers, including collaborators at national laboratories, universities, and industry. The ability to handle multiple tasks, meet milestones, communicate results effectively, and contribute to quarterly progress reports is essential.
Required Minimum Qualifications:
Ph.D. must be completed prior to start date.
Preferred Qualifications:
  • Preferred degree in Materials Science and Engineering, Chemistry, Chemical Engineering, or a closely related field.
  • Experience with high-temperature solid-state synthesis, metallothermic reactions, sealed-tube or sealed-container reactions, induction heating, vacuum, inert or reactive atmosphere processing in tube furnace, or related thermal processing methods.
  • Strong understanding of phase diagrams, crystallography, CALPHAD, and chemistry of 4f elements is encouraged.
  • Experience with acquiring and analyzing XRD data, including phase identification, qualitative and quantitative phase analysis by Rietveld refinement. Ability to interpret SEM/EDS, DSC/TGA, ICP-OES or ICP-MS, LECO O/H/N, XRF, magnetic property measurements, NMR, or related characterization data.
  • Experience with mechanochemistry, ball milling, powder processing, or mechanically assisted synthesis is desirable. Experience with wet-chemistry or hydrometallurgical methods, extraction, or recycling of rare earths and other critical elements is also desirable.
  • Ability to communicate effectively through written reports, oral presentations, manuscripts, and interdisciplinary team discussions, and to work collaboratively while maintaining accurate laboratory records and meeting project milestones.

Department Unit/Website (if applicable):
www.ameslab.gov
Application Instructions:
To apply for this position, please click on "Apply" and complete the Employment Application. Please be prepared to enter or attach the following:
Resume/Curriculum Vitae
Letter of Application/Cover Letter
List of Professional References
Why Choose Iowa State University?
Iowa State Employees enjoy comprehensive health and work-life benefits, including medical and dental, as well as:
  • Retirement benefits including defined benefit and defined contribution plans
  • Generous vacation, holiday, and sick time and leave plans
  • Onsite childcare (Ames, Iowa)
  • Life insurance and long-term disability
  • Flexible Spending Accounts
  • Various voluntary benefits and discounts
  • Employee Assistance Program
  • Wellbeing program
  • Iowa State offers WorkFlex options for some positions. WorkFlex offers flexibility on when, where, and how you do your work. For more information, please speak with the Hiring Manager.

If you have questions regarding this application process, please email employment@iastate.edu, or call 515-294-4800 or Toll Free: 1-877-477-7485.
Proposed Start Date:
October 1, 2026
Number of Months Employed Per Year:
12 Month Work Period
Time Type:
Full time
Pay Grade:
Post Docs
Original Posting Date:
June 26, 2026
Posting Close Date:
July 26, 2026
Job Requisition Number:
R19519
Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email eooffice@iastate.edu.
General ISU compensation information can be found on the University Human Resources website. Please note that this is only a list of ranges and individuals will be paid commensurate with qualifications.

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