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Statistical Engineering Jobs in Reston, VA (NOW HIRING)

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Cybersecurity Risk Engineersat the SEI use advanced skills in statistics, mathematics, risk analysis, systems engineering, economics and other technical fields in an interdisciplinary manner to help ...

Statistician

Washington, DC · On-site

$106K - $137K/yr

Determines nature of statistical problems needing investigation and determines most feasible ... engineering; or in the social sciences including demography, history, economics, social welfare ...

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Statistical Engineering information

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.

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 Reston, VA? For Statistical Engineering jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Reston, VA look for? The top searched job categories for Statistical Engineering jobs in Reston, VA are:
What cities near Reston, VA are hiring for Statistical Engineering jobs? Cities near Reston, VA with the most Statistical Engineering job openings:
Biostatistics Project Manager (Part Time)

Biostatistics Project Manager (Part Time)

N4 Solutions, LLC

Bethesda, MD • On-site

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

N4 Solutions, LLC offers our public and private sector clients the collective intellectual knowledge, expertise, and experience of our company and associates to help our customers evaluate, collaborate, innovate, and create business, technology, and scientific solutions that enable them to accomplish their mission and achieve organizational objectives. With the growth of the company, we are seeking a highly motivated and hard-working data analysis professional to join our team. The successful candidate will work in a high-paced and rewarding work environment.
JOB DESCRIPTION/DUTIES:
The Biostatistics Project Manager will support the National Institutes of Health (NIH), National Heart, Lung, and Blood Institute (NHLBI), by providing statistical expertise and data management support for clinical research studies. The successful candidate will collaborate with multidisciplinary research teams to manage, analyze, and interpret clinical data while supporting scientific publications and research initiatives.
•Perform statistical analyses utilizing appropriate methodologies to support clinical and scientific research studies.
•Collaborate with investigators on study design, statistical planning, data management, and interpretation of research findings.
•Develop statistical applications, reports, dashboards, and recurring summary reports for Principal Investigators using clinical research data.
•Review, monitor, and perform quality assurance/quality control (QA/QC) of clinical research databases to ensure data integrity and accuracy.
•Develop, organize, integrate, clean, and maintain large clinical and research datasets from multiple data sources.
•Perform descriptive statistics, regression analyses, longitudinal analyses, survival analyses, and other advanced statistical modeling techniques.
•Prepare charts, graphs, tables, and data visualizations for scientific reports, presentations, publications, and manuscripts.
•Develop and maintain statistical programming code using R, SPSS, SAS, or similar statistical software.
•Conduct literature reviews to identify relevant clinical and scientific information supporting ongoing research activities.
•Participate in the preparation of scientific manuscripts, presentations, abstracts, and publications.
•Present project updates and analysis findings during regular meetings with laboratory and research staff.
•Maintain accurate documentation of data modifications, statistical analyses, and project records.
•Perform other duties as assigned.
EDUCATION/EXPERIENCE/EXPERTISE REQUIREMENT:
•Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, Decision Science, or a related quantitative field.
•Minimum one (1) year of experience managing research datasets and performing statistical analyses for scientific or clinical research projects.
•Experience collaborating with multidisciplinary research teams.
•Experience performing statistical analyses using R, SPSS, SAS, or comparable statistical software.
•Experience preparing scientific reports, manuscripts, or publications.
•Strong analytical, organizational, and problem-solving skills.
•Excellent written and verbal communication skills.
•Proficiency with Microsoft Office Suite, including Excel, Word, PowerPoint, and Outlook.
PREFERRED EDUCATION/EXPERIENCE/EXPERTISE:
•Ph.D. or Ph.D. Candidate in Statistics, Biostatistics, Computer Science, Mathematics, or a related field.
•Experience supporting NIH, HHS, academic, or biomedical research organizations.
•Experience working with clinical databases and Laboratory Information Management Systems (LIMS).
•Experience conducting quality assurance/quality control (QA/QC) for clinical research data.
•Knowledge of longitudinal analysis, survival analysis, logistic regression, and advanced statistical modeling techniques.
•Experience supporting scientific presentations, publications, and clinical research reporting.
LOCATION:
•Bethesda, MD
•Part-Time (20 hours per week)
The N4 Solutions Equal Employment Opportunity (EEO) Policy is to provide a fair and equal employment opportunity for all employees and job applicants regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status or disability. N4 Solutions hires and promotes individuals solely on the basis of their qualifications and achievements for the job to be filled.