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Synthetic Data Generation Jobs in Colorado (NOW HIRING)

Alta Resource Technologies, Inc.

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... generation mining company that uses synthetic biology to separate critical minerals from ... Role Summary We are seeking a Data Analyst with experience handling diverse scientific datasets.

Stanford Climate Ventures

Data Analyst

Boulder, CO · On-site

$100 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... generation mining company that uses synthetic biology to separate critical minerals from ... Role Summary We are seeking a Data Analyst with experience handling diverse scientific datasets.

New

Judge Group, Inc.

Astrodynamics Engineer

Westminster, CO · On-site

$120K - $180K/yr

Experience with admissible regions, initial orbit determination, and hypothesis generation and ... data leakage, artificial patterns, and unintended structure within synthetic training datasets.

Ambrosia Biosciences

Scientist, Process Chemistry

Boulder, CO · On-site

$95 - $115/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... next-generation treatments targeting incretins and GPCRs. Backed by a premier syndicate of ... Key Responsibilities Develop and select synthetic routes for our small-molecule programs, from ...

New

Broadcom Inc.

Physical Design Engineer

Colorado Springs, CO · On-site

$129.40 - $207/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Overview Broadcom is searching for a Physical IC Design Engineer to join the Data Center ... Execution of Physical Design, Synthesis, Physical Verification, and Timing Closure Setup and ...

Broadcom

Physical Design Engineer

Colorado Springs, CO

$134K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Broadcom is searching for a Physical IC Design Engineer to join the Data Center Solutions Group at ... Execution of Physical Design, Synthesis, Physical Verification, and Timing Closure * Setup and ...

Broadcom

Physical Design Engineer

Colorado Springs, CO

$134K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Broadcom is searching for a Physical IC Design Engineer to join the Data Center Solutions Group at ... Execution of Physical Design, Synthesis, Physical Verification, and Timing Closure * Setup and ...

micro1 AI

AI Training Specialist - Chemistry

Longmont, CO · Remote

$70 - $90/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... synthesis, and separation techniques. * Document laboratory methodologies, data, and findings ...

micro1 AI

AI Training Specialist - Chemistry

Boulder, CO · Remote

$70 - $90/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... synthesis, and separation techniques. * Document laboratory methodologies, data, and findings ...

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Synthetic Data Generation information

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What are the key skills and qualifications needed to thrive in synthetic data generation?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are popular job titles related to Synthetic Data Generation jobs in Colorado?

For Synthetic Data Generation jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Synthetic Data Generation jobs in Colorado look for?

The top searched job categories for Synthetic Data Generation jobs in Colorado are:

What cities in Colorado are hiring for Synthetic Data Generation jobs?

Cities in Colorado with the most Synthetic Data Generation job openings:

Synthetic Data Generation jobs near you

Data Analyst

Alta Resource Technologies, Inc.

Boulder, CO • On-site

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 29 days ago

Job description

About Alta
Alta Resource Technologies (Alta) is a next generation mining company that uses synthetic biology to separate critical minerals from conventional and unconventional resources, including e-waste. Founded in 2023, the company is expanding its team in Boulder, CO. The exponential growth of new tech industries, as well as the information technology sector, are driving historic growth in mineral demand and stressing existing supply streams. Meeting new demand, diversifying the supply chain, and producing minerals in a more sustainable manner requires the rapid development, deployment and scaling of new technologies. This mineral challenge represents a historic opportunity for technology development and value creation. Alta is proud to be at the vanguard of this mega trend.
Role Summary
We are seeking a Data Analyst with experience handling diverse scientific datasets. The person in this position will be tasked with performing ad hoc analysis and developing pipelines to securely store raw data, catalog this data and prepare it for downstream analysis. A successful candidate will establish real time monitoring of laboratory systems and accelerate product development by facilitating data integrity and real time analysis and dashboards for a variety of data types. This position will report to the VP Data and Information Systems.
Key Responsibilities
  • Experimental Design and Planning: Collaborate with technical teams to ensure statistical rigor by supporting randomized experimental design and evaluating assay performance through power analysis.
  • Robust Statistical Analysis: Perform ad hoc statistical analysis on novel experiments, applying frequentist methods (ANOVA, regression, GLM) as the standard approach, with Bayesian methods where appropriate (e.g., small samples, sequential designs, incorporating prior data).
  • Develop Analytical Pipelines: Develop standard analysis pipelines to ensure rigorous, reproducible results as projects advance.
  • Develop Data Dashboards: Develop dashboards that allow key stakeholders to monitor processes and results in real time.
  • System Integration: Develop processes to ensure data management is integrated with other support systems (LIMS, JIRA, etc)
  • Cross-Functional Collaboration: Partner with technical and project leads across process engineering, chemistry, biology, and biotech to ensure data and data reports are available to the appropriate stakeholders.
  • Documentation & Testing: Ensure all data packages and pipelines are documented and tested.

Required Qualifications
  • Experience level:
    • Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics, Cheminformatics, or related fields with 5-8 years of experience, or a PhD with 3-5 years of experience.
  • Strong grounding in frequentist statistics (DOE, ANOVA, regression); familiarity with Bayesian methods a plus.
  • Understanding and experience with Design of Experiment (DOE) approaches.
  • Proficiency with Python.
  • Proficiency with workflow management tools such as Nextflow or Snakemake.
  • Understanding of version control and experience with version control systems such as git.
  • Experience with dashboard development tools such as Dash or Streamlit.
  • Please note: Applicants must be authorized to work for ANY employer in the U.S.

Preferred, But Not Required
  • Experience with process engineering.
  • Experience with common cloud providers (AWS/Azure).
  • Experience analyzing spectroscopy and spectrometry data.
  • Experience with common biological assays, including fluorometric assays, protein quantification, or gel electrophoresis.
  • Experience with shell scripting (Bash, Zsh, etc).
  • Experience with FAIR data principles.

What We Offer
  • The opportunity to lead a breakthrough program redefining U.S. supply chain resilience in critical materials.
  • A mission-driven, high-trust team operating at the intersection of innovation, national security, and sustainability.
  • High Impact & Visibility: Direct interaction and reporting to executive leadership.
  • Competitive compensation and benefits package.
    • The starting annual salary range for this position is $100,000 to $150,000 commensurate with educational background and work experience.
    • Benefits include:
      • 401(K)
      • Medical, Dental, Vision plans (or equivalent)
      • Flexible Time Off
      • Paid Parental Leave
      • Paid Sick Leave
      • Company Holidays

EOE
Alta Resource Technologies is an equal opportunity employer committed to building a workforce that reflects the diversity of the communities we serve. We believe that varied perspectives, experiences, and backgrounds strengthen our team and drive better outcomes for our clients and partners.
We welcome and encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. Our hiring decisions are based solely on qualifications, merit, and the needs of the business. Alta participates in e-Verify for all positions.
If you require accommodations at any point in the hiring process, please let your recruiter know.
For information about Alta's privacy practices, see our Privacy Policy.

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