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Statistical Programming Jobs in Lowell, MA (NOW HIRING)

Vor Bio

Director, Biostatistics

Boston, MA

Serve as Vor's statistical representative in the selection, qualification, and oversight of CROs, statistical programming vendors, IRT providers, andeCOAplatforms. * Review and approve vendor ...

Treeline Biosciences

Head of Biometrics

Watertown, MA · On-site

$310K - $395K/yr

In your role as Head of Biometrics , you will be responsible for leading all biostatistics and statistical programming activities across Treeline's clinical and translational development programs.

Treeline Biosciences

Head of Biometrics

Watertown, MA · On-site

$310K - $395K/yr

In your role as Head of Biometrics , you will be responsible for leading all biostatistics and statistical programming activities across Treeline's clinical and translational development programs.

Vrtx

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 ...

Corrona

Biostatistical Data Programmer

Waltham, MA · On-site

... programming development of new statistical methodology for measurement and analysis of data, simulation models and other statistical programming as needed. • Additional duties may be assigned ...

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All JobsStatistical Programming JobsStatistical Programming Jobs in Lowell, MA

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 Jun 13, 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 are popular job titles related to Statistical Programming jobs in Lowell, MA? For Statistical Programming jobs in Lowell, MA, the most frequently searched job titles are:
What job categories do people searching Statistical Programming jobs in Lowell, MA look for? The top searched job categories for Statistical Programming jobs in Lowell, MA are:
What cities near Lowell, MA are hiring for Statistical Programming jobs? Cities near Lowell, MA with the most Statistical Programming job openings:
Statistical Programming jobs near you
Head of Biometrics

Head of Biometrics

Stratacuity: Proven Scientific Placement

Watertown, MA

Other

Posted 12 days ago

Job description

Our Watertown based client is seeking a VP level Head of Biometrics to lead biostatistics and statistical programming across clinical and translational development. This role owns statistical strategy, clinical trial design, analysis planning, and delivery of high‑quality data outputs that support decision‑making, publications, and regulatory submissions. You’ll partner closely with clinical, data management, translational sciences, and regulatory teams to drive rigorous, data‑driven development.

Key Responsibilities

  • Lead statistical strategy from study design through regulatory submission.
  • Provide expertise in protocol design, randomization, sample size, and SAP development.
  • Oversee statistical deliverables including SAPs, TFLs, integrated summaries, and exploratory analyses.
  • Serve as the statistical lead in regulatory interactions and ensure global compliance (FDA, EMA, ICH).
  • Manage statistical programming and ensure high‑quality datasets and analysis outputs.
  • Build and lead a high‑performing biometrics team; manage CROs and external partners.
  • Support biomarker strategy and exploratory data analyses for target engagement and patient selection.
  • Establish SOPs, data governance practices, and contribute to broader data strategy.

Required Qualifications

  • Advanced degree in Biostatistics, Statistics, Mathematics, or related field
  • PhD + 10+ years industry experience
  • MS + 15+ years industry experience
  • Proven leadership in biostatistics/biometrics within biotech or pharma.
  • Strong knowledge of statistical methods, clinical trial design, and regulatory requirements.
  • Oncology development experience strongly preferred.
  • Experience managing vendors and building biometrics infrastructure.
  • Excellent communication skills and ability to translate complex statistical concepts.
  • Strategic, detail‑oriented, and committed to scientific rigor.

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