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Cmc Statistics Jobs (NOW HIRING)

Review and interpret stability data, perform trending analyses, and support statistical evaluations ... Experience working in cross-functional CMC teams within a matrixed development or commercial ...

Reliability Engineer

Birmingham, AL · On-site

$96K - $120K/yr

At CMC, it's the people inside our recycling centers, fabrication plants, steel mills and offices ... Apply data analysis techniques (including statistical process control, reliability modeling and ...

Reliability Engineer

Birmingham, AL · On-site

$96K - $120K/yr

At CMC, it's the people inside our recycling centers, fabrication plants, steel mills and offices ... Apply data analysis techniques (including statistical process control, reliability modeling and ...

Showing results 21-40

Cmc Statistics information

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$13

$38

$66

How much do cmc statistics jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for cmc statistics in the United States is $38.80, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $58.41 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a CMC (Chemistry, Manufacturing, and Controls) Statistician, and why are they important?

To thrive as a CMC Statistician, you need a strong background in statistics, pharmaceutical sciences, and regulatory guidelines, typically supported by an advanced degree in statistics or a related field. Proficiency with statistical software such as SAS, R, and familiarity with quality systems and ICH/FDA guidelines is essential. Attention to detail, problem-solving skills, and strong communication abilities help you effectively analyze complex data and collaborate with cross-functional teams. These skills are crucial for ensuring product quality, regulatory compliance, and the successful development and manufacturing of pharmaceuticals.

What is the difference between Cmc Statistics vs Data Analyst?

AspectCmc StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in statistical softwareBachelor's in Data Science, Statistics, or related; sometimes certifications in data tools
Work EnvironmentResearch labs, pharmaceutical companies, or biotech firmsBusiness, finance, healthcare, or tech companies
Industry UsagePrimarily in pharmaceutical and biotech industries for clinical data analysisAcross various industries for interpreting data and supporting decision-making

While both roles involve data analysis, Cmc Statistics focuses on clinical and pharmaceutical data within biotech industries, requiring specialized knowledge of regulatory standards. Data Analysts work across diverse sectors, analyzing data to inform business strategies. Understanding these differences helps in choosing the right career path or job search focus.

What are CMC Statistics professionals and what do they do?

CMC Statistics professionals specialize in the application of statistical methods to Chemistry, Manufacturing, and Controls (CMC) activities within the pharmaceutical and biotechnology industries. Their work involves designing experiments, analyzing data, and ensuring product quality throughout the drug development and manufacturing process. They collaborate with scientists, engineers, and regulatory teams to support submissions to health authorities and maintain compliance with industry standards. By providing statistical expertise, CMC statisticians help optimize processes, validate analytical methods, and ensure consistency and safety of pharmaceutical products.

What are some typical challenges faced by professionals in CMC Statistics, and how can they be addressed?

Professionals in CMC Statistics often encounter challenges such as managing large and complex datasets, ensuring data integrity across multiple stages of drug development, and effectively communicating statistical findings to multidisciplinary teams. Staying current with regulatory requirements and adapting to evolving analytical methods are also key challenges. These can be addressed by using robust data management systems, fostering strong cross-functional collaboration, and participating in ongoing professional development to stay updated with industry trends and regulatory guidance.

What jobs make $1,000,000 a year?

In the field of CMC statistics, high-earning roles such as senior data scientists, quantitative analysts, or chief data officers can reach or exceed $1,000,000 annually, especially in large corporations or financial firms. These positions typically require advanced degrees, extensive experience, and expertise in statistical modeling, programming, and data analysis tools. Compensation often includes base salary, bonuses, and stock options.

What are the highest paying jobs in statistics?

High-paying jobs in statistics include roles such as data scientist, quantitative analyst, and statistical director, often requiring advanced degrees and expertise in programming, machine learning, and data analysis tools. These positions typically offer salaries above industry averages, especially in finance, technology, and consulting sectors.

What is a CMC statistician?

A CMC statistician specializes in statistical analysis related to Chemistry, Manufacturing, and Controls (CMC) processes in the pharmaceutical or biotech industries. They design experiments, analyze data, and ensure compliance with regulatory standards to support drug development and manufacturing. Proficiency in statistical tools like SAS or R and knowledge of regulatory guidelines are often required.

Are biostatisticians in high demand?

Biostatisticians are in high demand due to their essential role in clinical research, public health, and pharmaceutical industries. The field offers strong job growth prospects, often requiring proficiency in statistical software and a background in biology or medicine.
More about Cmc Statistics jobs
What cities are hiring for Cmc Statistics jobs? Cities with the most Cmc Statistics job openings:
What states have the most Cmc Statistics jobs? States with the most job openings for Cmc Statistics jobs include:
Infographic showing various Cmc Statistics job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,700 per year, or $38.8 per hour.
Principal Research Scientist I - Bio CMC Developability Modeling

Principal Research Scientist I - Bio CMC Developability Modeling

AbbVie

North Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical


Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

Overview
The Development Sciences Biologics Drug Product Development organization within AbbVie develops and characterizes drug product formulations and manufacturing processes to provide clinical dosage forms to enable the development of AbbVie's pipeline. AbbVie is seeking a highly motivated person to join the Biologics CMC Developability Team. Our team utilizes start-of-the-art biophysical and analytical instrumentation to assess candidates coming out of the Discovery pipeline. We collaboratively influence protein design paradigms to yield biologic candidates that will be successful drug products. Key to our success is developing models of protein structure and function to augment decision making in protein design and development. We utilize high throughput instrumentation and digital data systems to capture ML-ready data on industry leading datasets of therapeutic proteins. To drive maximum benefit from this data, we are seeking an experienced scientist to lead modeling efforts within our team. The successful candidate will bring deep experience of modeling protein stability or related properties to solve foundational questions such as viscosity, chemical degradation, and aggregation. Applicable modeling techniques could range from first principles to statistical based approaches. This role includes the opportunity to design molecules and custom studies for data generation, so knowledge of biochemistry experimentation is useful. The candidate will be a member of a global team and will work closely with scientists from multiple functional areas, including Discovery, Development Science Digital Transformation, and Information Research.

Key Responsibilities:

  • Serve as a technical expert for modeling within Biologics CMC Developability Team
  • Represent BCD in modeling communities within AbbVie; collaborates with other modelers or teams to ensure business needs are met by the correct modeling framework
  • May perform in vitro laboratory experiments; works closely with teams for design of wet lab studies to build both models and fundamental knowledge of protein solution behavior
  • Identifies emerging scientific and technological trends from multiple internal and external sources, assesses relevance and integrates applicable trends into BCD plans and strategies as appropriate. Present data at internal and external professional conferences and prepare manuscripts for publication in peer reviewed journals or patent applications
  • May serve as BCD Lead, coordinate developability assessment activities for 1-2 Discovery Projects at a time
Qualifications
  • BS, MS, or PhD in Pharmaceutics, Pharmaceutical Sciences, Chemistry, Chemical Engineering, or related disciplines with 14+ (Bachelors), 12+ (Masters), or 6+ (PhD) years of relevant industry experience.
  • Proven ability to solve critical scientific problems.
  • Direct experience with applying modeling techniques (mechanistic or statistical) to protein long-term stability or formulation screening such as kinetic degradation modeling
  • Well versed in predictive machine learning and statistical modeling techniques
  • Familiar with complex ML architectures including deep learning and hierarchical or multi-task frameworks
  • Skilled with feature attribution, sensitivity analysis, and model interpretability

Key Competencies:

  • Build strong relationships with peers and cross functionally with partners outside of the team to enable higher performance.
  • Excellent oral communication skills in a scientific setting as well as sound technical writing and documentation competencies are required. 
  • The candidate must be able to work independently, respond to changing priorities and short lead times for multiple tasks; able to identify problems and work toward solutions. 
  • Raises the bar and is never satisfied with the status quo. 
  • Creates a learning environment, open to suggestions and experimentation for improvement. 
  • Embraces the ideas of others, nurtures innovation and manages innovation to reality.
Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. 

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to participate in our long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html


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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013