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Statistical Programming Jobs in Lowell, MA (NOW HIRING)

Are you an experienced Manager and Leader in Statistical Programming with a deep knowledge of clinical drug development and line management experience? Would you like to be part of a fast-paced and ...

Are you an experienced Manager and Leader in Statistical Programming with a deep knowledge of clinical drug development and line management experience? Would you like to be part of a fast-paced and ...

Head of Statistical Programming Introduction to role: Are you ready to set the global programming strategy that accelerates life-changing therapies for people with rare and devastating diseases? This ...

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Statistical Programming information

See Lowell, MA salary details

$83.8K

$146.1K

$246.9K

How much do statistical programming jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical programming in Lowell, MA is $146,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $158,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a Statistical Programmer, and why are they important?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What cities near Lowell, MA are hiring for Statistical Programming jobs? Cities near Lowell, MA with the most Statistical Programming job openings:
Infographic showing various Statistical Programming job openings in Lowell, MA as of July 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $146,079 per year, or $70.2 per hour.

Director, Statistical Programming

Seaport Therapeutics

Boston, MA

Other

Re-posted 29 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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