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Statistical Engineering Jobs in Cambridge, MA (NOW HIRING)

Statistical Programmer

Boston, MA ยท On-site

$110K - $165K/yr

This role will provide statistical programming hands-on support across clinical studies, regulatory submissions, and cross-functional development activities. The successful candidate will be ...

Masters in Statistics, Engineering, or relevant field required with at least 5 years of experience in statistical programming or biostatistics in the Pharmaceutical/Biotechnology industry. Clinical ...

The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and ...

Analyst, Statistical Programming

Cambridge, MA ยท On-site

$81K - $111K/yr

Serve as the Statistical Programming co-lead for assigned studies and communicate resource needs, risks, and issues. * Provide oversight and quality review of vendor programming activities and ...

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Statistical Engineering information

See Cambridge, MA salary details

$65K

$76.3K

$85.1K

How much do statistical engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistical engineering in Cambridge, MA is $76,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $81,400.00 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 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 Cambridge, MA? For Statistical Engineering jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Cambridge, MA look for? The top searched job categories for Statistical Engineering jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Statistical Engineering jobs? Cities near Cambridge, MA with the most Statistical Engineering job openings:

Statistical Programmer

Rhythm Pharmaceuticals

Boston, MA โ€ข On-site

$110K - $165K/yr

Full-time

Posted 9 days ago


Job description

Company Overview
Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together.
Opportunity Overview
Rhythm is seeking a Statistical Programmer to join our Biostatistics and Statistical Programming team. This role will provide statistical programming hands-on support across clinical studies, regulatory submissions, and cross-functional development activities. The successful candidate will be responsible for delivering high-quality, compliant analysis datasets, tables, listings, and figures; contributing to study-level and integrated submission deliverables; and partnering closely with Biostatistics, Data Management, Clinical Development, Medical Writing, Regulatory, and external vendors. Depending on level, the role may also include broader responsibility for study oversight, process improvement, standards development, vendor oversight, and mentoring programmers. The level will be determined based on the candidate's experience, technical depth, and leadership capabilities.
Responsibilities and Duties
  • Lead or support statistical programming activities for assigned clinical studies, including development, validation, and quality control of analysis datasets, tables, listings, and figures for study reports, regulatory submissions, and internal decision-making.
  • Serve as a study lead programmer or programming representative, partnering closely with Biostatistics, Data Management, Clinical Development, Medical Writing, Regulatory, and external vendors to deliver high-quality results on time.
  • Develop, review, and maintain ADaM specifications, TLF shells, programming documentation, reusable macros, and study-level programming standards in alignment with company procedures and regulatory expectations.
  • Provide input into protocols, statistical analysis plans, CRF design and annotation, edit checks, SDTM specifications, integrated data review, and submission strategy to ensure traceability, consistency, and efficient downstream analysis.
  • Support regulatory submission readiness, including preparation and review of define.xml, reviewer guides, submission-ready datasets, and related documentation in compliance with CDISC and global regulatory requirements.
  • Identify programming risks, drive issue resolution, and recommend process improvements that enhance quality, scalability, efficiency, and inspection readiness across studies and programs.
  • Depending on level, mentor junior programmers, provide technical guidance, contribute to resource planning, oversee vendor deliverables, and help shape departmental standards, tools, and best practices.

Qualifications and Skills
  • MS or equivalent degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related discipline; advanced degree preferred.
  • 3-5 years relevant statistical programming experience in biotech, pharma, or CRO settings; vendor oversight experience preferred but not required.
  • Strong hands-on expertise in SAS programming, including Base SAS, SAS/STAT, SAS/GRAPH, SAS/SQL, SAS/ODS, and macro development; experience with R or other modern programming tools is a plus.
  • Deep knowledge of CDISC standards, including SDTM, ADaM, define.xml, reviewer guides, and electronic submission requirements in eCTD format.
  • Experience supporting study-level and integrated analyses, including ISS/ISE or other cross-study deliverables, with strong understanding of clinical trial reporting and regulatory submission processes.
  • Able to work independently, manage priorities, collaborate cross-functionally, and deliver high-quality work in a fast-paced environment.
  • For manager-level candidates, experience mentoring programmers, overseeing external vendors, and contributing to resource planning or process improvement is a plus.

This role is based out of our corporate office in Boston, Massachusetts. Rhythm operates in a hybrid-work model. Candidates applying must be willing and able to be in the Boston office in coordination with their department and business needs. This role may involve some travel.
The expected salary range for this position is $110,000 - $165,000. Actual pay will be determined based on experience, level, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This role may be eligible for benefits and other compensation such as restricted stock units.
More about Rhythm
We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause. Our team is passionate about expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism.
At Rhythm our core values are:
  • We are committed to advancing scientific understanding to improve patients' lives
  • We are inspired to tackle tough challenges and have the courage to ask bold questions
  • We are eager to learn and adapt
  • We believe collaboration and ownership are foundational for our success
  • We value the unique contribution each individual brings to furthering our mission

Inherent in our core values is the commitment to act ethically and with integrity in all we do.
Rhythm is an equal employment opportunity employer and does not discriminate against any applicant because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, disability, genetic information, veteran status, military status, application for military service, or any other class protected by state or federal law.
Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts.