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Cmc Statistics Jobs in Roxana, IL (NOW HIRING)

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Cmc Statistics information

See Roxana, IL salary details

$13

$37

$64

How much do cmc statistics jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for cmc statistics in Roxana, IL is $37.21, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $56.01 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.
What cities near Roxana, IL are hiring for Cmc Statistics jobs? Cities near Roxana, IL with the most Cmc Statistics job openings:
Cmc Statistics jobs near you
Scientific Data Architect- Central US

Scientific Data Architect- Central US

TetraScience

Saint Louis, MO • On-site

$62 - $79.75/hr

Full-time

PTO

Posted 5 days ago

Job description

About TetraScience

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.

In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.

Who You Are

You are a product-minded, outcome-obsessed driver of technical scientific solutions.

You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions.

You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.

You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.

With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.

You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains.

You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.

This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.

What You Have Done
  • PhD with +4 years or Masters with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
  • Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments
  • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
  • Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.
  • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

Requirements

What You Will Do
  • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a couple of days per week in the Indianapolis area, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
  • Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
  • Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
  • Own, scope, prototype, and implement solutions including:
    • Data model design (tabular & JSON)
    • Python-based parser development.
    • Lab software (e.g., ELN/LIMS) integration via APIs.
    • Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly)
    • Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)
    • Programmatically interrogating proprietary instrument output files.
  • Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings
  • Proactively communicate implementation progress and deliver demos to customer stakeholders.
  • Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.
  • Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases
  • Must be able to travel to client sites in St.Louis, Indianapolis, Chicago regions.

Benefits

  • Competitive Salary and equity in a fast-growing company.
  • Supportive, team-oriented culture of continuous improvement.
  • Generous paid time off (PTO).
  • Flexible working arrangements - Remote work when not at Customer Sites

We are not currently providing visa sponsorship for this position.

The salary range for this position is $140,000 - $240,000. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.