ZipRecruiter

Log In

1

Statistical Engineering Jobs in Madison, AL (NOW HIRING)

Guidehouse

Biostatistician Lead

Huntsville, AL · On-site

Experience in statistical programming using SAS and at least one additional statistical language such as R or Python. * Experience developing and reviewing Statistical Analysis Plans (SAPs ...

next page

Showing results 1-20

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Madison, AL

Statistical Engineering information

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

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

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.
Statistical Engineering jobs near you

Analytics Modernization Lead

Huntsville, AL • On-site

Guidehouse
Business Management Consulting • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

People enjoy working here

Good employer

Paid breaks

Learn more about Guidehouseexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse is seeking an Analytics Modernization Lead to lead the modernization of analytic, surveillance, research, and reporting workflows through the adoption of modern statistical computing, automation, and open-source technologies. This individual will serve as the technical lead responsible for analytics modernization strategy, SAS-to-R/Python migration, code validation, reproducibility standards, and modernization governance across complex public health data environments.

The Analytics Modernization Lead will work closely with biostatisticians, epidemiologists, data scientists, and informaticists to ensure legacy analytic assets are modernized while preserving scientific integrity, analytical equivalence, and operational continuity. This role serves as the bridge between statistical methodology and technical implementation, enabling scalable, maintainable, and reproducible analytics platforms.

What You Will Do

  • Serve as the technical lead for analytics modernization initiatives supporting surveillance, research, program evaluation, and data science activities.

  • Develop modernization strategies, migration roadmaps, coding standards, technical governance frameworks, and implementation plans for analytic transformation efforts.

  • Assess legacy analytics environments, SAS programs, macros, workflows, dependencies, and reporting pipelines to identify modernization opportunities.

  • Lead migration of SAS-based workflows to R, Python, and modern analytics platforms while preserving analytic intent, business rules, statistical methodologies, and output consistency.

  • Design and oversee validation frameworks to confirm equivalence between legacy and modernized analytic workflows.

  • Establish and maintain code review standards, regression testing approaches, automated validation processes, and reproducibility controls.

  • Collaborate with biostatisticians and epidemiologists to validate migrated outputs and ensure scientific defensibility of modernized solutions.

  • Develop reusable libraries, frameworks, templates, and accelerator assets that increase consistency and reduce future development effort.

  • Lead adoption of modern software engineering practices, including version control, code management, documentation standards, CI/CD, and automated testing.

  • Support implementation of cloud-based analytics environments and scalable data science platforms.

  • Establish enterprise standards for reusable analytics, code promotion, environment management, and technical documentation.

  • Mentor technical teams in R, Python, Git, testing methodologies, reproducible analytics, and modern development practices.

  • Develop technical designs, migration inventories, validation reports, implementation guidance, training materials, and knowledge transfer products.

  • Support proposal efforts, solution development, and thought leadership activities related to analytics modernization, statistical computing, and open-source transformation.

  • Role contingent upon contract award


What You Will Need:

  • Must be a U.S. Citizen or Permanent Resident. and ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Informatics, Applied Mathematics, Engineering, or related technical field. Master's degree preferred.

  • EIGHT (8) or more years of professional experience supporting analytics modernization, statistical programming, data science, software development, data engineering, or analytical platform implementation.

  • Experience leading modernization or migration initiatives involving SAS-based analytics, statistical programming, reporting assets, or analytical workflows to open source platforms, specifically R.

  • Expertise in SAS programming, including SAS macros, PROC SQL, data step programming, statistical procedures, reporting workflows, and production analytical environments.

  • Experience in both R and Python, including development of reusable packages, libraries, analytical pipelines, and automated workflows.

  • Experience converting statistical programs, analytical workflows, and reporting assets from SAS to modern open-source environments.

  • Experience designing and implementing validation frameworks, regression testing approaches, automated testing methodologies, and analytical quality control processes.

  • Experience validating migrated outputs and documenting analytical equivalency between legacy and modernized environments.

  • Strong understanding of statistical programming principles and experience collaborating effectively with biostatisticians, epidemiologists, and data scientists on analytical validation efforts.

  • Experience using Git, GitHub, Azure DevOps, CI/CD pipelines, version control, code review practices, and software development lifecycle methodologies.

  • Experience developing and maintaining technical documentation, code inventories, conversion playbooks, migration plans, design specifications, and validation reports.


What Would Be Nice To Have:

  • Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Informatics, or related discipline.

  • Experience supporting analytic workflows in secure, regulated, healthcare, public health, life sciences, or government environments.

  • Strong problem-solving, stakeholder engagement, and technical communication skills.

  • Experience leading technical workstreams and mentoring multidisciplinary development or analytics teams.

  • Experience supporting large-scale public health surveillance, healthcare analytics, biomedical research, or population health programs.

  • Experience modernizing large analytics environments consisting of hundreds or thousands of SAS programs, macros, reports, and supporting assets.

  • Experience developing automated code conversion, testing, validation, code quality, or reproducibility frameworks.

  • Experience with Databricks, Snowflake, Azure, AWS, Palantir Foundry, or other modern analytics platforms.

  • Experience implementing CI/CD, DataOps, MLOps, infrastructure-as-code, or automated deployment frameworks.

  • Experience containerizing analytical workflows using Docker, Kubernetes, or similar technologies.

  • Experience developing R packages, Python libraries, reusable analytics frameworks, or enterprise coding standards.

  • Experience supporting modernization of surveillance systems, public health analytics platforms, or scientific computing environments.

  • Experience training technical teams on open-source analytics, software engineering best practices, and modernization methodologies.

  • Experience working with state public health agencies.

  • Experience supporting federal public health, healthcare, or research organizations.

The annual salary range for this position is $92,000.00-$153,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

What Guidehouse employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply