1

Statistics Validator Jobs in Colorado (NOW HIRING)

You will be responsible for establishing robust equipment and processes through rigorous characterization and statistical validation before ramping them into high volume manufacturing. We are looking ...

Explore and recommend improvements to SSD validation, including test coverage plans, validation ... Identify PASS/FAIL criteria for test cases in terms of number of cycles, statistical and ...

Sr Process Engineer

Boulder, CO · On-site

$45 - $50/hr

... OQ, PQ validation experience • Capital project management experience • Statistical analysis and process improvement skills • Manufacturing process engineering experience • Strong ...

Sr Process Engineer

Boulder, CO · On-site

$109K - $141K/yr

... OQ, PQ validation experience • Capital project management experience • Statistical analysis and process improvement skills • Manufacturing process engineering experience • Strong ...

Sr Process Engineer

Boulder, CO · On-site

$48 - $50/hr

Perform statistical analysis * Ensure safety and product quality Top Technical Skills * Process validation (IQ/OQ/PQ) * Capital project execution * Statistical methods Required Experience * Bachelor ...

... validating approaches through user research, and serving as a trusted advisor on AI matters. • ... Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics ...

Sr Process Engineer

Boulder, CO

$107K - $139K/yr

... OQ, PQ validation experience • Capital project management experience • Statistical analysis and process improvement skills • Manufacturing process engineering experience • Strong ...

next page

Showing results 1-20

Statistics Validator information

What are Statistics Validators?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a Statistics Validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Statistics Validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.
What are popular job titles related to Statistics Validator jobs in Colorado? For Statistics Validator jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Statistics Validator jobs? Cities in Colorado with the most Statistics Validator job openings:
Infographic showing various Statistics Validator job openings in Colorado as of June 2026, with employment types broken down into 70% Full Time, 23% Part Time, and 7% Nights. Highlights an 100% In-person job distribution.

Senior Cell Test & Validation Engineer

Peak Energy

Broomfield, CO • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Peak Energy
Job Title: Senior Cell Test & Validation Engineer
Location: Broomfield, CO
Department: Cell Engineering
Reports To: Cell Applications Engineering Manager
Position Type: Full-Time
About Peak Energy
Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid.
Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market.
Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures.
We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience.
If you want to define how a new chemistry is tested, validated, and trusted at commercial scale - and to build the lab, fixtures, and methods that make that possible - we encourage you to apply and help us power a more sustainable future.
About the Role - Senior Cell Test & Validation Engineer
Peak Energy is seeking a Senior Cell Test & Validation Engineer to play a key role in the cell-level test and validation program for commercial product cells. This role moves the cell from verification to validation - defining critical-to-quality (CTQ) metrics, designing the test campaigns that prove them out, and building the in-house infrastructure, fixtures, and data systems needed to execute them with rigor. You will lead electrochemical, life, and thermal characterization of cells, own external relationships for third-party safety and abuse testing, and apply a strong statistical foundation to demonstrate that cells meet performance, reliability, and safety expectations at scale.
The successful candidate combines hands-on lab expertise with the engineering discipline to make data-driven, defensible decisions about cells intended for commercial deployment.
What You'll Do (Responsibilities)
  • Define and execute electrochemical characterization of commercial product cells, including capacity, DCIR/HPPC, rate capability, OCV/SOC mapping, coulombic and energy efficiency, and incremental capacity / differential voltage (IC/DV) analysis.
  • Own cycle life and calendar life test programs across temperature, SOC, and duty-cycle conditions; design accelerated aging protocols and analyze degradation modes to inform life models and product warranty positions.
  • Design and execute self-discharge characterization (open-circuit, micro-shorts, parasitic loss) at the cell level, including long-duration low-current measurements and storage condition matrices.
  • Own third-party test engagements for thermal runaway, heat generation, and abuse testing (e.g., nail penetration, overcharge, external short, propagation, ARC, thermal characterization). Manage scopes of work, witness testing, review data, and translate results into product and system design feedback.
  • Build and qualify in-house test and data-acquisition fixtures - including thermal chambers, calorimetry setups, current/voltage harnesses, temperature sensing, and custom DAQ - to expand internal test capability and reduce reliance on external labs.
  • Operate, maintain, and calibrate battery cycler hardware across the lab fleet; establish equipment qualification, channel verification, calibration cadence, and measurement uncertainty budgets.
  • Define cell critical-to-quality (CTQ) metrics in partnership with Cell Engineering, Quality, and Systems teams; translate product requirements into measurable test criteria with clear pass/fail thresholds.
  • Lead the transition from verification to validation: design statistically rigorous test campaigns (sample size justification, DOE, GR&R, capability analysis, tolerance intervals, reliability statistics) that establish confidence in production-intent cells.
  • Author and maintain test plans, SOPs, test reports, and validation packages that withstand internal and external technical review; ensure traceability from requirement → test method → result → decision.
  • Collaborate cross-functionally with Cell R&D, Cell Quality, Cell Modeling, Systems Engineering, and Supplier Industrialization to align test strategy, share data, and close out failure investigations.
  • Mentor junior engineers and technicians on lab discipline, data hygiene, statistical thinking, and safe handling of energized cells.

What You'll Bring (Qualifications)
  • Bachelor's or Master's degree in an engineering or science discipline - Chemical Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, Chemistry, Physics, or related.
  • 5+ years of relevant experience in cell, battery, or electrochemical device test and validation, with demonstrated ownership of multi-quarter test programs on commercial product-level cells.
  • Prior experience working inside a formal engineering organization with stage-gated product development, change control, and validation gates.
  • Deep hands-on expertise in electrochemical characterization methods (capacity, DCIR/HPPC, cycle life, calendar life, self-discharge, IC/DV) and the instrumentation behind them.
  • Direct experience operating, calibrating, and troubleshooting battery cyclers (e.g., Arbin, Maccor, BioLogic, Neware, Digatron) and environmental chambers.
  • Demonstrated experience owning third-party test engagements for thermal runaway, abuse, heat generation, and thermal characterization, including authoring test protocols and reviewing third-party data.
  • Track record of designing and building in-house test fixtures and DAQ systems - sensor selection, harnessing, signal conditioning, and software integration (LabVIEW, Python, or equivalent).
  • Strong statistical background applied to verification and validation: sample size justification, DOE, ANOVA, regression, GR&R, capability indices, tolerance intervals, and reliability/life-data analysis.
  • Proven ability to define CTQ metrics and translate product and system requirements into measurable, defensible cell-level test criteria.
  • Clear technical writing and presentation skills; comfortable defending methods and conclusions to engineering, quality, and executive audiences.

Preferred Qualifications
  • Experience with sodium-ion, lithium-ion, or other advanced battery chemistries at commercial cell formats (prismatic, pouch, or cylindrical).
  • Working knowledge of battery safety and qualification standards (e.g., UN 38.3, UL 1973, UL 9540A, IEC 62619, SAE J2464) and the test sequences they prescribe.
  • Familiarity with calorimetry techniques (ARC, IBC, isothermal) and heat-generation modeling at the cell level.
  • Proficiency in Python, R, JMP, or Minitab for test data analysis and statistical inference; experience with structured time-series cycler data at scale.
  • Experience deploying Jira, Smartsheet, or similar tools to manage test requests, deviations, and validation deliverables.
  • Exposure to model-test correlation work with cell modeling, electrochemical simulation, or life-prediction teams.
  • Six Sigma, ASQ CRE/CQE, or equivalent statistical/reliability certification.

Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you're excited about this role but your experience doesn't look perfect on paper, we still want to hear from you.
Our Core Values
  • Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality.
  • Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability.
  • Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making.
  • Be a Good Person - Kindness, collaboration and teamwork.

Compensation & Benefits
The salary range for this role is $150,000 - $170,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes:
  • Flexible time off
  • Comprehensive medical, dental, and vision coverage
  • Strong 401(k) plan
  • Equity opportunities
  • Many great work perks

Join us to thrive in a supportive environment while making a meaningful impact in the energy sector!
At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company's full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.