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Conducting Investigations:
Reporting and Analysis:
Auditing and Compliance:
Consultation and Guidance:
Process Improvement:
Bachelor's degree in Human Resources or a related field and/ or five years of directly related experience, or equivalent experience.
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The Associate Director of Transparency and Disclosure (T&D) is responsible for leading and managing global Transparency & Disclosure activities. This role will serve as a subject matter expert and will manage the processes and procedures to ensure compliance with global regulatory requirements. The Associate Director will partner with and lead interactions with senior management in relevant functional areas and manage staff who are directly involved in activities related to disclosure and transparency. Oversight of staff who manage clinical trial registry activities, lay language results summaries, and data sharing requests will also be in scope.
Experience Preferred:
We offer a competitive benefits package, including:
Comprehensive Health Insurance: Medical, Dental, Vision, and Prescription coverage starting on the first day of employment, providing the employee enrolls.
Time Off: Paid Time Off including vacation, sick/safe time, caretaker time and holidays.
The total compensation may also include restricted stock units and discretionary awards, depending on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
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The Associate Director, Real-World Evidence (RWE) Statistics sits within Global Statistics & Data Science (GSD) and partners with cross-functional teams in Teva R&D to provide statistical strategy and technical leadership for analysis of Real-World Data (RWD) and other data sources to support lifecycle drug development. The key responsibilities include statistical input to the evidence generation planning, medical affairs and RWE research proposal reviews, study protocol and statistical analysis plan (SAP) development and execution, results interpretation, scientific presentations and publications, interactions with agencies, and RWE/statistical methodology research. In this role, your expertise will elevate data generation, inform decision-making, and ultimately improve patient outcomes.
• Lead RWE statistical input for evidence generation planning for assigned TAs/assets, collaborating closely with global and regional Medical Affairs, Health Economics, Value and Outcomes, and other R&D stakeholders.
• Actively engage in the development and review of study concepts and protocols, ensuring alignment with objectives, and appropriate sample size and statistical methods for scientific, regulatory, and market access needs.
• Lead or oversee SAP development and execution, including table, figure, and listing shells, and output review. Collaborate with programmers/analysts to ensure timely, high-quality statistical deliverables. Develop data review plans, interpret complex data, and ensure study results are scientifically robust and actionable.
• Provide in-depth statistical review for scientific publications and reports. Work closely with internal and external stakeholders to ensure appropriate statistical analysis and results are consistently applied in all scientific and regulatory documents, presentations, and publications.
• Contribute to external interactions with regulators, payers, and other agencies.
• Demonstrate excellent understanding of advanced statistical concepts. Take a leadership role in introducing innovative statistical methods (e.g., causal inference, bias and confounding control, AI/ML) into analysis plans to improve efficiency and validity of study results. Effectively explain statistical concepts to non-statisticians.
• PhD (with 4+ years of experience) or MS (with 6+ years of experience) in Biostatistics, Statistics, or a related quantitative field.
• Pharmaceutical or related industry experience required.
• Competence in RWE study design, statistical modeling, and AI/ML methods to observational data. Knowledge of methodologies for confounding control and bias minimization in observational studies highly desired.
• Expertise with multiple RWD sources (e.g., EHR, claims, registry data); familiarity with clinical trial design.
• Proficiency in programming skills in SAS, R, and/or Python; experience with cloud-based analytics platforms is a plus.
• Ability to build strong relationships with cross-functional partners to provide cutting-edge statistical solutions, drive data-driven innovation, and achieve high performance.
• Highly motivated to learn new methodologies and technologies, open-minded and adaptable, enthusiastic about innovation and making meaningful impact.
• Excellent writing and communication skills.
• Demonstrated leadership and project management abilities.
• Experience supporting HTA submissions, or regulatory interactions is preferred.
• Track record of publications or presentations in RWE methods is preferred.
• Familiarity with clinical trial data standards (ADaM/SDTM) and data privacy regulations is preferred.
We offer a competitive benefits package, including:
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
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As a member of our Software Engineering Group, you will dive head-first into creating innovative solutions that advance businesses and careers. Yous being developed. Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key. And best of all, you
Job Responsibilities:
Required qualifications, capabilities, and skills:
Preferred qualifications, capabilities, and skills:
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In this role you will:
Required Qualifications:
Desired Qualifications:
Job Expectations:
3611 Edgmont Avenue Brookhaven, PA 19015
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65 West Baltimore Pike Lansdowne, PA 19050
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888 Baltimore Pike Springfield, PA 19064
18 Garrett Road Upper Darby, PA 19082
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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