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CSL

Associate Director, Biostatistics

CSL

Associate Director leading full statistical contributions to clinical development programs. Driving innovative study designs and regulatory submissions within a biotherapeutics company.

Posted 7/24/2026full-timeMaidenhead • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Biostatistics with a strong focus on statistical strategy, regulatory submissions, and innovative study design. Proven ability to lead cross-functional teams and manage interactions with regulatory authorities while ensuring the quality and timeliness of deliverables.

Highest-signal resume keywords
PhD In BiostatisticsStatistical LeadershipAdvanced Statistical MethodologiesRegulatory Submissions ExperienceSAS And/or R Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical MethodologiesClinical Development StrategyData AnalysisStatistical ProgrammingCDISC StandardsProbability Of Technical Success CalculationsInterim And Final Results DeliveryStudy DesignRegulatory Guidance FamiliarityQuality Assurance
Soft Skills
CollaborationCommunicationLeadershipInfluencingProblem-Solving
Tools & Technologies
SASRCRO ManagementStatistical Software
Industry Keywords
BiostatisticsClinical TrialsRegulatory AuthoritiesFDAEMAPMDADrug DevelopmentClinical ResearchStatistical Thought PartnershipInnovative Study Design

Tech Stack

Tools & technologies
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About the role

Key responsibilities & impact
  • Lead full scope of Biostatistics conduct for the responsible program within a therapeutic area
  • Define statistical strategy and ensure appropriate statistical methodologies applied to study design and data analysis for clinical trials and regulatory submissions
  • Influence and contribute to clinical development plans, collaborate with cross-functional team for governance reviews
  • Lead statistical strategy for planning and study execution (member of Study Executive Team, Clinical Development Team) and quantitative evaluation to clinical trials, regulatory submissions, and related documents
  • Provide statistical thought partnership for innovative study design and clinical development plans, including Go-No Go criteria and probability of technical success calculations
  • Provide for project-wide planning of analyses; quality and timely delivery of interim and final results, including integrated analyses for submissions
  • Represent Biostatistics in interactions with regulatory authorities (eg, FDA, EMA, PMDA)
  • Be responsible for interpreting analysis results and ensuring reporting accuracy in study reports and regulatory documents
  • Manage outsourcing operations or work with internal statistical programmers within the responsible program
  • Ensure timeliness and quality of deliverables by CRO/FSP
  • Support or lead improvement initiatives within the department, organization and/or pharma industry
  • Prepare abstracts, posters, oral presentations and written reports to effectively communicate results of clinical programs and studies to internal and external stakeholders and colleagues with varying levels of clinical research knowledge

Requirements

What you’ll need
  • PhD with 8 years of experience or MS with 11 years of experience in drug development
  • Experience providing statistical leadership at compound/indication level
  • Demonstrated statistical expertise and leadership in facilitating and optimizing the (pre/early/full-) clinical development strategy
  • Solid experience in applications of advanced statistical methodologies
  • Leading roles in regulatory submissions
  • Experience in interactions with major regulatory authorities preferred
  • Experience with CROs (either managing a CRO, or having worked in a CRO) or managing internal deliveries preferred
  • Track record of innovation preferred
  • Familiarity with regulatory guidance and interactions
  • Broad knowledge of clinical development and processes
  • Good working knowledge of SAS and/or R
  • Expertise in a range of statistical methodologies
  • Familiarity with relevant regulatory guidance documents
  • Expertise in: CDISC, statistical programming, and/or data standards

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities