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Statistical Engineering Jobs in Boston, MA (NOW HIRING)

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track progress, and provide expert technical support to team members. In addition, the Principal ...

Advanced degree in statistics, biostatistics, computer science, mathematics, engineering, or a related discipline. Deep expertise with CDISC standards and modern statistical programming languages and ...

Advanced degree in statistics, biostatistics, computer science, mathematics, engineering, or a related discipline. * Deep expertise with CDISC standards and modern statistical programming languages ...

Advanced degree in statistics, biostatistics, computer science, mathematics, engineering, or a related discipline. * Deep expertise with CDISC standards and modern statistical programming languages ...

Advanced degree in statistics, biostatistics, computer science, mathematics, engineering, or a related discipline. * Deep expertise with CDISC standards and modern statistical programming languages ...

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Statistical Engineering information

See Boston, MA salary details

$65.3K

$76.6K

$85.5K

How much do statistical engineering jobs pay per year?

As of Jun 17, 2026, the average yearly pay for statistical engineering in Boston, MA is $76,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $81,800.00 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 Boston, MA? For Statistical Engineering jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Boston, MA look for? The top searched job categories for Statistical Engineering jobs in Boston, MA are:
What cities near Boston, MA are hiring for Statistical Engineering jobs? Cities near Boston, MA with the most Statistical Engineering job openings:

Director, Statistical Programming

Seaport Therapeutics

Boston, MA

Other

Posted 2 days ago


Job description

Seaport Therapeutics is a clinical-stage therapeutics company advancing the development of novel neuropsychiatric medicines in areas of high unmet patient needs. The Company has a proven strategy of advancing clinically validated mechanisms previously held back by limitations that are overcome with its proprietary GlyphTM technology platform. All the therapeutic candidates in its pipeline of first and best-in-class medicines are based on the Glyph platform, which is uniquely designed to enable oral bioavailability, bypass first-pass metabolism and reduce hepatotoxicity and other side effects. Seaport is led by an experienced team that invented and advanced important neuropsychiatric medicines and are guided by an extensive network of renowned scientists, clinicians and key opinion leaders. For more information, please visit www.seaporttx.com.

Seaport Therapeutics is hiring our first in-house Statistical Programming leader to build and lead the Statistical Programming function within the Biometrics department. Reporting to the VP, Head of Biometrics, this Director will provide strategic oversight of CRO/vendor programming activities, perform hands-on programming in SAS and R, and ensure high-quality, submission-ready deliverables that meet CDISC and global regulatory standards. In the near term, the role will focus on vendor governance, thorough review/QC of datasets and TLFs, and support for regulatory interactions, publications, and ongoing medical/safety monitoring. Longer term, this leader will establish processes and SOPs, recruit and develop a high-performing team, and serve as a key member of the Biometrics leadership team driving continuous improvement.

The ideal candidate will embrace a collaborative, innovative culture that embodies our values of service to patients impacted by mental health conditions, with a "we own it" mentality, demonstrating entrepreneurial spirit and technical excellence while fostering teamwork and continuous improvement. This position is based in Boston's Seaport area, with a strong preference for being onsite 4 days per week.

Key Responsibilities:

  • Lead the Statistical Programming function for Seaport Therapeutics; serve as programming representative on study and program teams and within the Biometrics leadership group.
  • Provide strategic oversight and day-to-day governance of CROs and external programmers, including scope planning, timelines, quality metrics, and issue escalation.
  • Perform hands-on programming in SAS or R to review/QC vendor deliverables, develop analysis datasets (SDTM/ADaM), and generate tables, listings, and figures (TLFs).
  • Ensure compliance with CDISC standards (SDTM, ADaM), FDA/EMA/ICH guidance, and submission requirements (e.g., define.xml, reviewer's guides, eCTD packages).
  • Support regulatory interactions (IND, NDA/BLA/MAA), including ad hoc analyses, briefing package outputs, and responses to information requests.
  • Partner with Biostatistics, Data Management, Clinical, and Safety to enable medical and safety monitoring, signal detection, and data-driven decision-making across ongoing trials.
  • Establish and maintain programming processes, SOPs, work instructions, and reusable libraries/macros; champion automation, reproducibility, and audit readiness.
  • Recruit, manage, mentor, and develop a team of statistical programmers as the portfolio grows; manage contractors/FSPs and oversee performance and career development.
  • Drive continuous improvement across standards, tools, and infrastructure (SAS/R environments, version control, code review practices) in collaboration with IT and QA.
  • Plan and manage resources and budgets for programming activities; contribute to vendor selection, governance frameworks, and performance/quality measures for delivery quality and timeliness.
  • Represent Statistical Programming in inspections and audits; ensure documentation completeness and compliance with 21 CFR Part 11, GCP, data privacy, and company SOPs.

Qualifications:

  • Advanced degree (MS/PhD) in Statistics, Biostatistics, Computer Science, Mathematics, or related discipline; BS with strong relevant experience considered.
  • 10+ years of statistical programming experience in biotech/pharma/CRO settings, with 5+ years of people management.
  • Expert hands-on proficiency in SAS (Base, Macro, STAT, GRAPH, SQL) and strong working knowledge of R; experience with Python is a plus.
  • Demonstrated experience overseeing CROs/vendors and validating programming deliverables to CDISC standards (SDTM, ADaM).
  • Proven contribution to global submissions (e.g., NDA/BLA/MAA), including submission-ready datasets, TLFs, define.xml, reviewer's guides, and CSR appendices.
  • Strong understanding of clinical development processes, ICH/GCP, FDA/EMA guidelines, and 21 CFR Part 11 compliance.
  • Track record of building teams, establishing SOPs and standards, and implementing automation and best practices for efficiency and quality.
  • Excellent communication, collaboration, and leadership skills; ability to translate technical concepts for non-technical stakeholders.
  • Therapeutic area experience in CNS/neuropsychiatry is a plus; passion for Seaport's patient-centric mission is essential.

At Seaport, we believe transparency and fairness are key to building a culture of trust, respect, and collaboration. We care deeply about the happiness of our team and strive to ensure our total rewards (monetary and non-monetary) program reflects the value each person brings. The expected salary range for this role is $198,000-233,000 with the final offer based on experience, market data, and internal equity. We encourage open conversations with our talent acquisition team about compensation early in the process to ensure alignment from the start.

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