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Statistical Engineering Jobs in Indiana (NOW HIRING)

Industrial Engineer

Butlerville, IN · On-site

$59K - $80K/yr

Support process improvement initiatives using Lean Manufacturing, Lean Six Sigma, statistical analysis, and data-driven methodologies * Partner with engineering, manufacturing, government, and ...

This role collaborates closely with cross-functional teams-including design engineering, quality ... using statistical tools (e.g., Minitab) and Design of Experiments (DOE). • Proficient in ...

Quality Engineer

Bluffton, IN · On-site

$65K - $84K/yr

Prepare statistical information and reports by collecting, analyzing, and summarizing data and trends. * Contribute to quality engineering and organization success by welcoming related, different ...

Quality Intern

Terre Haute, IN

$16 - $20.75/hr

Description Support the Process Control Strategy implementation, performing the required statistics ... Supports specific projects from Quality Engineers. Requirements Behavioral Competencies: - Strong ...

Quality Intern

Terre Haute, IN · On-site

$16 - $20.75/hr

Support the Process Control Strategy implementation, performing the required statistics with the ... Supports specific projects from Quality Engineers. Requirements: Behavioral Competencies: - Strong ...

Manufacturing Engineer

Evansville, IN · On-site

$69K - $88K/yr

Utilize statistical tools (SPC, capability analysis, DOE, root cause analysis) to identify and ... Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or ...

Quality Engineer

Indianapolis, IN

$68K - $88K/yr

... engineering in electronics, medical device, automotive, pharmaceutical, or precision manufacturing environments using statistical methods and root cause analysis to improve process capability.

Quality Engineer

Indianapolis, IN · On-site

$68K - $88K/yr

... engineering in electronics, medical device, automotive, pharmaceutical, or precision manufacturing environments using statistical methods and root cause analysis to improve process capability.

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Showing results 1-20

Statistical Engineering information

See Indiana salary details

$58.7K

$68.8K

$76.8K

How much do statistical engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for statistical engineering in Indiana is $68,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $73,500.00 per year, depending on experience, location, and employer.

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 engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

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.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

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.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

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 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.
What are popular job titles related to Statistical Engineering jobs in Indiana? For Statistical Engineering jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Indiana look for? The top searched job categories for Statistical Engineering jobs in Indiana are:
What cities in Indiana are hiring for Statistical Engineering jobs? Cities in Indiana with the most Statistical Engineering job openings:

Senior Clinical Database Designer

Reckitt

Evansville, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Reckitt rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

We are Reckitt
Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.
Research & Development
In Research and Development, we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance.
We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality.
The size of our organisation means you'll have the opportunity to learn and work in different functions within R&D, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.
About the role
The Clinical Data & Statistical Technology Specialist designs, manages, and modernizes clinical data collection and analysis-ready data workflows for nutrition clinical studies. This role bridges Clinical Operations, Data Management, Biostatistics, Medical Science, and external partners to ensure study data are high quality, traceable, compliant, and ready for statistical analysis and reporting. The role has evolved beyond traditional clinical database design to include applied statistical support, data governance, vendor oversight, and responsible use of approved automation, AI-enabled workflows, dashboards, and analytics tools.
Your responsibilities
  • Design and maintain clinical data systems: Translate protocols, endpoints, and statistical analysis requirements into eCRFs, database structures, edit checks, validation rules, visit schedules, data transfer specifications, and data review plans.
  • Support statistical analysis readiness: Partner with the Statistician to prepare, review, and validate analysis-ready data extracts, listings, descriptive summaries, reconciliation outputs, derivation logic, outlier checks, missing data checks, and other quality control outputs.
  • Drive data quality and compliance: Coordinate data review, discrepancy management, external data reconciliation, database lock readiness, audit-ready documentation, controlled terminology, metadata, data lineage, access, retention, and version control in alignment with ICH-GCP, data privacy, security, and SOP expectations.
  • Enable technology, automation, and AI: Identify and maintain approved tools, dashboards, automated checks, data quality monitoring approaches, and AI-assisted workflows that improve efficiency, consistency, scalability, and insight generation while preserving validation, documentation, human oversight, and auditability.
  • Manage vendors and external data flows: Provide oversight of CROs, EDC vendors, external laboratories, ePRO/eCOA providers, wearables, and other data providers to ensure data transfers, quality checks, issue resolution, and timelines are managed effectively.
  • Strengthen standards and knowledge continuity: Maintain and improve standards, templates, data dictionaries, validation checklists, reusable code or automation libraries, training materials, and best practices that reduce rework and support consistent study execution.

The experience we're looking for
  • Bachelor's degree in a quantitative or health-related field (e.g., statistics, data science, clinical research) required; Master's preferred or equivalent experience considered.
  • Demonstrated training or applied experience in biostatistics, statistical methods, epidemiology, or clinical data analysis.
  • Minimum 3 years of experience in clinical data management, database design, statistical programming support, analytics, or clinical research (healthcare/pharma preferred).
  • Working knowledge of clinical trial processes, including eCRF design, database build, data cleaning, endpoint collection, database lock, and study reporting.
  • Understanding of statistical concepts for clinical research, including data structures, analysis populations, derived variables, summaries, and quality control.
  • Proficiency with EDC/CDMS platforms, SQL, and at least one analytical tool (e.g., SAS, R, Python).
  • Familiarity with regulatory standards and practices, including ICH-GCP, data integrity, privacy/security, and SOP-driven environments.
  • Strong analytical, communication, and organizational skills; ability to manage multiple priorities, collaborate cross-functionally, and meet deadlines.

The skills for success
Task Execution Under Pressure, Makes strategic Business Decisions, Business accumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing.
What we offer
With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
Salary Range
USD $99,000.00 - $149,000.00
Pay Transparency
The base salary range for this role will vary based on experience in job and industry, training and education, skills relevant to the position, and other factors permitted by law. In addition to the base salary, the position is eligible for an annual discretionary bonus, which is subject to change each year.Reckitt offers eligible employees competitive benefits including medical, prescription, dental, vision, and life and disability insurance; paid time off for vacation, sick and Company recognized holidays; a 401(k) plan; 16-week paid parental leave or 26 weeks for the birthing parent; adoption and fertility support; tuition reimbursement; discounts; and much more. Our compensation and benefits packages aim to give our talent the reward, protection, and peace of mind they deserve.If reasonable accommodation is needed to complete your application, please contact NAtalentacquisition@reckitt.com. Reckitt is committed to the full inclusion of all qualified individuals.
Equality
We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

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