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Manager Statistical Programming Jobs in Lexington, MA

AstraZeneca

Director, Statistical Programming

Waltham, MA · On-site

$168K - $253K/yr

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 ...

AstraZeneca

Director, Statistical Programming

Waltham, MA · On-site

$168K - $253K/yr

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 ...

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All JobsStatistical Programming JobsManager Statistical Programming JobsManager Statistical Programming Jobs in Lexington, MA

Manager Statistical Programming information

See Lexington, MA salary details

$94.9K

$165.5K

$279.8K

How much do manager statistical programming jobs pay per year?

As of Jul 7, 2026, the average yearly pay for manager statistical programming in Lexington, MA is $165,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $179,800.00 per year, depending on experience, location, and employer.

What is a Manager Statistical Programming job?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a Manager Statistical Programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the Manager Statistical Programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

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Manager Statistical Programming jobs near you
Associate Director, Statistical Programming

Associate Director, Statistical Programming

Beam Therapeutics

Cambridge, MA • Hybrid

Other

Posted 16 days ago

Job description

Position Overview:

Beam is looking for a highly talented and motivated Associate Director, Statistical Programming, to join our growing Statistical Programming team in the Biometrics department. The senior manager will be responsible for developing and maintaining statistical programming functions within a therapeutic area to support various clinical studies and submissions to ensure successful execution for Beam's clinical programs. In this role, you will work with the lead of statistical programming to develop statistical programming strategies and timelines. You will manage CROs, oversee programming activities and provide timely support to the cross-functional teams on statistical programming matters according to the project strategies and requests.

Responsibilities:

  • Participates in statistical programming activities on clinical studies and oversees CROs to generate analysis data sets and tables, listings and figures needed for clinical study reports and regulatory submissions.
  • Reviews and validates SDTM, ADaM analysis datasets and TFLs created by CROs.
  • Works collaboratively and communicates effectively with Biostatistics, Data Management, clinical operations, clinical development, Regulatory and other functions.
  • Manages creating CDSIC SDTM and ADaM datasets, analysis metadata results and Define.xml for Electronic Submission from the clinical database or external data sources.
  • Manages the activities of data summary, statistical analysis, patient profile, safety and efficacy tables, listings and figures using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL, SAS/ODS and R.
  • Participates and manages the workflow of generating study specific and ad-hoc clinical data listings, summary tables and figures.
  • Partners with Statisticians and other members of the clinical study team, performs ad hoc analysis.
  • Reviews SAP, DMP, CRF, annotated CRF, table shells and other relevant documents by CROs and provides expert feedback from functional perspective.
  • Develops SAS programming infrastructure and programming processes improve data deliverables and ad hoc analyses quality and efficiency.
  • Builds and mentors a team of programmers as needed to support Beam clinical trials and development pipelines.

Qualifications:

  • MS or higher degree in Statistics, Mathematics, or related scientific Discipline.
  • At least 10 years Pharmaceutical/Biotech programming experience.
  • Advanced SAS programming skills and strong Statistical background along with experience with SAS Base, SAS/Macros, SAS/Graph and SAS/Stat.
  • Experience and in-depth knowledge in CDISC including STDM, ADaM and controlled terminologies.
  • NDA or BLA submission experience is required.
  • Excellent organizational skills and ability to prioritize tasks.
  • Excellent communication and interpersonal skills.
  • Experience managing CROs and other data vendors.
  • Knowledge of ICH guidelines, Good Clinical Practices, FDA / EMA / other regulatory authority guidance.
  • Experience with R-Shiny is a plus.
  • #LI-Hybrid

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