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Associate Director Biostatistics

Job in Philadelphia, Philadelphia County, Pennsylvania, 19117, USA
Listing for: Penfield Search Partners Ltd
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Security, Data Science Manager
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 160000 - 210000 USD Yearly USD 160000.00 210000.00 YEAR
Job Description & How to Apply Below
Associate Director, Biostatistics

Location:

Greater Philadelphia or Boston Work Model:
Hybrid (3 days onsite per week)
Our client is a global organization focused on advancing novel therapies for patients with rare diseases, with a clinical pipeline spanning multiple therapeutic areas and stages of development. Bringing a collaborative, project-driven structure, the organization is building a forward-looking team dedicated to delivering treatments that make a meaningful impact worldwide.

Currently they are seeking an Associate Director, Biostatistics to provide statistical leadership for clinical development programs. In this role, you will develop and implement statistical strategies for clinical trials and regulatory submissions, contributing to study design, data analysis, and reporting. This position offers strong visibility and requires close collaboration with cross-functional teams as well as interactions with regulatory agencies both in the U.S. and internationally.

It’s a fantastic opportunity to become a part of a stable and growing group with a focus on innovation.

Responsibilities Lead the full scope of Biostatistics activities for a clinical development program within a therapeutic area.

Define statistical strategy and ensure appropriate statistical methodologies are applied to study design and data analysis for clinical trials and regulatory submissions.

Influence and contribute to clinical development plans and collaborate with cross-functional teams for governance reviews.

Lead statistical strategy for study planning and execution as a member of the Study Executive Team and Clinical Development Team.

Provide quantitative evaluation supporting clinical trials, regulatory submissions, and related documentation.

Provide statistical thought partnership for innovative study design and clinical development plans, including Go/No-Go criteria and probability of technical success calculations.

Plan and oversee program-wide statistical analyses and ensure the quality and timely delivery of interim and final results, including integrated analyses for submissions.

Represent Biostatistics in interactions with regulatory authorities such as the FDA, EMA, and PMDA.Interpret analysis results and ensure accuracy in study reports and regulatory documents.

Manage outsourcing operations or collaborate with internal statistical programmers within the program.

Ensure the quality and timeliness of deliverables from CROs or functional service providers.

Support or lead improvement initiatives within the department, organization, or broader pharmaceutical industry.

Prepare abstracts, posters, oral presentations, and written reports to communicate results of clinical programs and studies to internal and external stakeholders.

Qualifications

PhD or MS in Biostatistics, Statistics, or a related field

PhD with 7 years of experience or MS with 9 years of experience in drug development

Experience providing statistical leadership at the compound or indication level

Demonstrated expertise in facilitating and optimizing clinical development strategies across early, late, or full development phases

Experience supporting regulatory submissions

Experience interacting with major regulatory authorities preferred

Experience working with CROs or managing internal statistical deliverables preferred

Demonstrated track record of innovation preferred

Core Competencies Familiarity with regulatory guidance and regulatory interactions

Broad knowledge of clinical development processes

Ability to work collaboratively and provide leadership in a matrix environment

Strong written and verbal communication skills in English Good working knowledge of SAS and/or RExpertise across a range of statistical methodologies

Experience applying innovative or creative statistical methods for clinical data analysis

Familiarity with CDISC standards, statistical programming, and data standards
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Position Requirements
10+ Years work experience
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