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Senior Manager Statistical Programming Jobs in New Jersey

MSD

Senior Scientist, Statistical Programming

Rahway, NJ · On-site

$117K - $184K/yr

Senior Scientist, Statistical Programming - Rahway, NJ: * Provide support to statistical ... Familiarity with clinical data management concepts. * Effective interpersonal skills and ability to ...

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Senior Manager Statistical Programming information

How does a senior manager statistical programming typically collaborate with cross-functional teams in clinical research projects?

A Senior Manager Statistical Programming plays a pivotal role in coordinating with biostatisticians, clinical data managers, and medical writers to ensure seamless data flow and analysis throughout clinical trials. They oversee programming teams to deliver statistical outputs, such as tables, listings, and figures, while maintaining compliance with regulatory standards. Regular meetings and clear communication are essential, as the Senior Manager must interpret project requirements and translate them into actionable programming tasks, ensuring timelines and quality standards are met. This collaborative environment fosters continuous learning and problem-solving, as cross-functional input is vital for addressing complex data challenges.

What are the key skills and qualifications needed to thrive as a senior manager statistical programming, and why are they important?

To thrive as a Senior Manager Statistical Programming, you need expertise in biostatistics, programming languages like SAS or R, and experience with clinical trial data, typically supported by an advanced degree in a quantitative field. Familiarity with regulatory requirements (e.g., CDISC standards), clinical data management systems, and project management tools is essential. Strong leadership, communication, and problem-solving skills help you lead teams and liaise with cross-functional stakeholders. These skills ensure accurate, compliant data analyses and effective team management for successful clinical trial outcomes.

What is the difference between Senior Manager Statistical Programming vs Statistical Programmer?

AspectSenior Manager Statistical ProgrammingStatistical Programmer
CredentialsBachelor's/Master's in Biostatistics, Computer Science, or related field; often with management experienceBachelor's or Master's in Biostatistics, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsPerforms data analysis, programming, and validation tasks under supervision
Employer & Industry UsagePharmaceutical, biotech companies, CROs, clinical researchPharmaceutical, biotech, clinical research organizations

The main difference is that Senior Manager Statistical Programming oversees teams and manages projects, while Statistical Programmers focus on executing data analysis and programming tasks. The senior role involves leadership responsibilities, whereas the programmer role is more technical and task-oriented.

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For Senior Manager Statistical Programming jobs in New Jersey, the most frequently searched job titles are:

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Cities in New Jersey with the most Senior Manager Statistical Programming job openings:

Senior Manager Statistical Programming jobs near you
Infographic showing various Senior Manager Statistical Programming job openings in New Jersey as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Manager, Statistical Programming

Kardigan

Princeton, NJ • On-site

Full-time

Re-posted 12 days ago

Job description

About Us
Kardigan is a heart health company working to make cardiovascular disease preventable, curable and no longer the leading cause of death in the world.
It is Kardigan's mission to develop multiple targeted treatments in parallel that bring people with cardiovascular diseases to the cures they deserve.
Led by Tassos Gianakakos, Jay Edelberg, M.D., Ph.D., and Bob McDowell, Ph.D., Kardigan's co-founders have reunited after leading MyoKardia to discover and develop mavacamten, the first cardiac myosin inhibitor, resulting in an acquisition by Bristol Myers Squibb in 2020.
We have a cutting-edge discovery and translational research platform, a pipeline of late-stage candidates, and an industry-leading team that is driven to improve the lives of patients.
At Kardigan, we are motivated by our values which guide how we work, interact, and achieve our goals. Driven by patients and their families, we are deeply committed to improving the lives of patients and prioritizing their needs above all else. We believe in being authentic-leading with truth to bring out the best in others by creating an environment where every person knows they will be fully accepted. With an eagerness to learn, we encourage the highest levels of curiosity and are open to changing our minds. We are committed to winning as a team with urgency, excellence, and intention, and support each other no matter what role we play or where we sit. Lastly, we strive to enable the impossible because patients are counting on us. We are not afraid to take risks to unlock innovation and advance scientific discoveries.
These values are the foundation of our work, empowering us to make a real difference, every day.
Position Title: Senior Manager, Statistical Programming
Department: Clinical Data Sciences & Analytics
Reports To: Head of Statistical Programming
Location: South San Francisco, CA or Princeton, NJ - On-site 4 days per week (Mon to Thurs)
Job Overview:
The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.
This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in establishing SOPs and programming standards and modernizing statistical reporting with open-source tools.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Key Project Responsibilities:
  • Provide programming leadership and oversee study to compound-level programming deliverables in collaboration with the lead biostatistician and cross-functional teams.
  • Serve as the lead programmer to review the SAP, Data Presentation Plan, and Table Shells to align with project objectives and ensure clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM, and TLF for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop company tools, such as R packages, macros, and interactive data dashboards (e.g., with Shiny), to enhance the efficiency and capacity of the Statistical Programming team.
  • Develop robust programs to create define.xml. Lead the NDA eSubmission package preparation.

Initiative Responsibilities:
  • Under the guidance of the Head of Statistical Programming and Compound Lead, implement innovative strategies and technologies to enhance programming processes.
  • Working with the manager, establish Statistical Programming standards and deploy programming strategies, specifications, and programmed analyses.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.

Qualifications and Preferred Skills
Education:
  • Master's degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:
  • Minimum of 6 years of statistical programming experience in the pharmaceutical, biotech, or CRO clinical trial environment.
  • Advanced SAS and R programming skills, with experience using Git for version control required. Extensive hands-on experience with SDTM, ADaM, and TLF programming.
  • Python programming experience is desirable.
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of the drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience with their implementation in clinical trials.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results-oriented, with proven problem-solving skills and a strong interest in continued learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and able to thrive in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.

Exact Compensation may vary based on skills, experience and location.
Pay range
$172,000-$234,000 USD

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