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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 Washington? For Statistical Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Washington look for? The top searched job categories for Statistical Engineering jobs in Washington are:
What cities in Washington are hiring for Statistical Engineering jobs? Cities in Washington with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Washington as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.
Manager, Statistical Programming

Manager, Statistical Programming

Supernus Pharmaceuticals, Inc.

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Supernus Pharmaceuticals is an award-winning biopharmaceutical company with more than 30 years of experience in developing and commercializing products that treat central nervous system (CNS) diseases. At Supernus, we develop innovative products that help treat neurological and psychiatric conditions. At Supernus, we develop innovative products that help treat neurological and psychiatric conditions. We currently have 8 products in the market that are making a real impact on patient outcomes.
Job Summary:
The Manager of Statistical Programming will lead and support statistical programming activities for clinical projects conducted by Supernus Pharmaceuticals. This role ensures the timely delivery of high-quality clinical trials analysis deliverables by adhering to established standards and processes
Essential Duties & Responsibilities:
  • Oversees all statistical programming activities for an in-house clinical study, ensuring compliance with Supernus standards.
  • Reviews and provides input on Statistical Analysis Plans (SAPs) to ensure alignment with study objectives.
  • Develops Study Data Tabulation Models (SDTMs) and Arrangement of variables (ADaM) mapping specifications in accordance with CDISC SDTM Implementation Guides (SDTM IG).
  • Programs and validates SDTM and ADaM datasets using SAS programs.
  • Prepares SDTM and AdAm Submission packages, including, define.xml, Reviews guide, and annotated eCRF.
  • Generates and validates Tables, Figures, and listings (LTFs) according to approved specifications.
  • Validates outsourced datasets provided by vendors and performs ad hoc analyses as needed.
  • Contributes to the development and enhancement of programming standards and workflows.
  • Mentors and guides junior programmers to foster skill development and ensure quality deliverables.
  • Employee management responsibilities assigned as needed.
  • Performs other duties as assigned.

Supervisory Responsibilities:
  • Provides leadership and management in an effective manner consistent with Company Values towards defined Corporate Objectives.
  • Understands Company Policy and procedure to be able to guide direct reports appropriately.

Knowledge & Other Qualifications:
  • Bachelor's degree in Life Sciences, computer science, mathematics, statistics, or a related quantitative/analytical field with a minimum of five years of experience in a pharmaceutical/ Clinical Research organization industry, a master's degree in a related field with a minimum of three years of experience, or a PhD with one year of experience.
  • Proficiency in R is a plus.
  • Demonstrated ability to develop SAS programs and macros to create SDTM, ADaM, and TFLs.
  • Demonstrated ability to identify and solve moderately complex problems.
  • Working knowledge of CDISC standards with hands-on experience in generating define packages.
  • Familiarity with ICH guidelines and FDA guidance related to clinical study conduct and data submission.
  • Familiarity with statistical methods that apply to Phase I-IV clinical trials.
  • Excellent written and oral communication skills including grammatical/technical writing skills.
  • Excellent attention to detail and accuracy.

Other Characteristics:
  • Ability to work independently and as part of a team and maintain high ethical standards of integrity and quality.
  • Ability of having an innovative and dynamic approach to work.
  • A self-starter able to work independently but comfortable working in a team environment.
  • Ability to consistently exhibit Supernus Values in interactions with employees at all levels of the organization, vendors, customers and others.
  • Capable of performing other duties as assigned by Management.
  • Authorized to legally work in the United States without visa sponsorship.

Physical Requirements/Work Environment/Travel Requirements:
  • Sedentary work. Exerting up to 10 pounds of force occasionally and/or carrying objects. Sedentary work involves sitting most of the time.
  • The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer screen, iPad, or other electronic device; and extensive reading.
  • The worker is not substantially exposed to adverse environmental conditions.

Compensation:
At Supernus, we offer a competitive compensation package that reflects your experiences and contributions. The expected salary range for fully qualified candidates applying for this role is $100,000 to $130,000. This range is what the Company reasonably expects to offer for the position and is not reflective of the full compensation scale of the role. This range may be modified in the future. An individual's salary within the range is based on multiple factors, which may include and are not limited to education, relevant experience, knowledge, length of industry experience and organizational needs.
You also will be able to participate in a competitive benefits package, including but not limited to: health, dental, vision, paid time off, 401k company match, company paid life insurance and health and wellness benefits. The total compensation package for this position also includes other compensation elements such as stock equity awards, employee stock purchase programs and participation in our Company's discretionary annual bonus program.
Supernus Pharmaceuticals is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, protected veteran status, age or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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