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$42.5K

$94.4K

$153K

How much do negative certifying scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for negative certifying scientist in the United States is $94,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Negative Certifying Scientist in a toxicology laboratory setting?

Negative Certifying Scientists often face the challenge of maintaining high accuracy and consistency while reviewing large volumes of test results, as even minor errors can have significant consequences. They must stay current with evolving regulations and laboratory protocols to ensure all negative results are certified according to industry standards. Additionally, effective communication with laboratory staff and other certifying scientists is crucial for resolving discrepancies and ensuring quality control. Adapting to new technologies and balancing efficiency with meticulous attention to detail are also ongoing aspects of the role.

What are the key skills and qualifications needed to thrive as a Negative Certifying Scientist?

To thrive as a Negative Certifying Scientist, you need a solid background in forensic science or chemistry, with a relevant bachelor's degree and laboratory experience. Familiarity with laboratory information management systems (LIMS), analytical instruments like GC/MS or LC/MS, and certifications such as ASCLD/LAB are typically required. Strong attention to detail, critical thinking, and effective written communication are standout soft skills for this position. These skills and qualifications ensure accurate, reliable analysis and reporting, which are crucial for maintaining the integrity of forensic laboratory results.

What is a Negative Certifying Scientist?

A Negative Certifying Scientist is a professional who works in forensic laboratories, primarily responsible for certifying and verifying negative results in drug testing or toxicology screening processes. Their role involves reviewing laboratory data, ensuring that no controlled substances or target analytes were detected in tested samples, and confirming that proper procedures were followed. They must maintain rigorous documentation standards and comply with regulatory guidelines to ensure the integrity of test results. Negative Certifying Scientists play a crucial role in upholding the accuracy and reliability of forensic laboratory findings.
More about Negative Certifying Scientist jobs
What job categories do people searching Negative Certifying Scientist jobs look for? The top searched job categories for Negative Certifying Scientist jobs are:
Infographic showing various Negative Certifying Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $94,420 per year, or $45.4 per hour.

AI Engineer / Data Scientist, AI Experienced Associate

Pwc

Los Angeles, CA • On-site

$63K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, we're seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you'll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You'll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making processes
- Collaborating with cross-functional teams to integrate AI solutions into existing platforms
- Conducting data wrangling and preprocessing to prepare datasets for analysis
- Applying advanced algorithms to enhance the performance of AI models
- Building and deploying software systems that leverage AI and machine learning technologies
- Analyzing complex data sets to identify patterns and trends that inform business strategies
- Supporting client engagements by delivering quality work and adapting to diverse project requirements
- Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
- Upholding professional and technical standards while contributing to team success
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning techniques
- Excelling in client support within fast-paced environments
- Adapting quickly to diverse client needs and project scopes
- Building a personal brand through consistent quality work
- Utilizing analytical skills to discern patterns and insights

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $63,000 - $141,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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