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Statistical Programming Jobs in Birmingham, AL (NOW HIRING)

D. in a quantitative field preferred (e.g., Computer Science, Statistics, Mathematics, Engineering) Company : Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing ...

Manufacturing Sr Engineer

Bessemer, AL · On-site

$81K - $111K/yr

Description We are seeking a driven Manufacturing Engineer II to support manufacturing operations ... Proficiency in Lean Manufacturing, Value Stream Mapping, Root Cause Analysis (8D, A3), Statistical ...

Manufacturing Sr Engineer

Bessemer, AL · On-site

$81K - $111K/yr

Description We are seeking a driven Manufacturing Engineer II to support manufacturing operations ... Proficiency in Lean Manufacturing, Value Stream Mapping, Root Cause Analysis (8D, A3), Statistical ...

Resident Engineer

Birmingham, AL · On-site

$92K - $118K/yr

Deliver statistical analysis of data on competition, customer direction, product performance ... Engineer process variation reduction * Employ advanced problem-solving expertise to correct ...

A minimum MS in a relevant engineering field (e.g. pharmaceutical engineering, chemical engineering ... Experience designing and conducting studies based on statistical Design of Experiments principles.

A minimum MS in a relevant engineering field (e.g. pharmaceutical engineering, chemical engineering ... Experience designing and conducting studies based on statistical Design of Experiments principles.

Showing results 41-60

Statistical Programming information

See Birmingham, AL salary details

$79.2K

$138K

$233.4K

How much do statistical programming jobs pay per year?

As of Aug 11, 2026, the average yearly pay for statistical programming in Birmingham, AL is $138,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $150,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a statistical programmer?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are popular job titles related to Statistical Programming jobs in Birmingham, AL? For Statistical Programming jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Statistical Programming jobs in Birmingham, AL look for? The top searched job categories for Statistical Programming jobs in Birmingham, AL are:
Infographic showing various Statistical Programming job openings in Birmingham, AL as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $138,040 per year, or $66.4 per hour.

Data Scientist 3

Mindlance

Birmingham, AL • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and machine learning to inform business decisions. The role involves data analysis, predictive modeling, and collaboration with cross-functional teams to drive data initiatives and mentor junior staff.
Responsibilities:
• Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques.
• Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes.
• Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations.
• Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models.
• Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions.
• Lead the development of machine learning algorithms and their optimization to solve complex business problems.
• Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses.
• Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications.
• Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements.
• Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives.
• Collaborate closely with cross functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
• Provide mentorship and guidance to junior data scientists, fostering their growth and development.
• Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long term data strategy.
• Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices.
Qualifications:
Required:
• 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data driven decision-making
• Proficiency in data analysis tools and programming languages such as Python, R, or Julia
• Expert knowledge of machine learning algorithms and their applications
• Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn)
• Profound understanding of databases and data manipulation using SQL
• Outstanding problem-solving and critical thinking abilities
• Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders
• Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
• Expertise in data ethics, privacy, and compliance considerations
Preferred:
• Master's or Ph.D. in a quantitative field preferred (e.g., Computer Science, Statistics, Mathematics, Engineering)
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999