• Associate Director of Biostatistics

    Job Location(s) US-NC-Research Triangle Park | US-PA-Philadelphia | US-PA-King of Prussia | US-NJ-Princeton | US-TX-Austin | US-IL-Chicago | US-MO-Kansas City
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  • Job Overview

    Associate Director of Biostatistics


    This permanent, salaried position can be done remotely from anywhere in the U.S. or Canada.


    Are you ready to discover your extraordinary potential at Covance? A career here provides the unique chance to create a lasting impact and difference in patients’ lives. Joining our team will offer you a rewarding career, an opportunity to work in a high-energy, innovative & collaborative work place, along with access to comprehensive benefits. Your work is meaningful, and the results are lasting. With the support of exceptional people from across the globe and an energized purpose, you’ll be empowered to own your career journey with mentoring, training and personalized development planning. Our mission is to help our clients bring the miracles of medicine to market sooner -- join us for your next career move.


    In this role, the Associate Director of Biostatistics will participate in a variety of duties related to supervision of Biostatistics staff as well as overall leadership of the department; ensure departmental goals and deliverables are met; plan, analyze and summarize the results of individual clinical studies or groups of studies (integrated summaries) and coordinate the development and review of regulatory submissions (e.g., NDAs). Program and/or review statistical tables, listings, figures, and analysis datasets for clinical trials in accordance with Covance and/or sponsor Standard Operating Procedures (SOPs) or study specific guidelines; responsible for revenue, forecasting and resourcing; and manage and/or mentor junior level biostatistics staff.


    Additional responsibilities include:

    • Develop and maintain close working relationships with the management of other disciplines, particularly those that interact closely with the department, to ensure consistency in approach, ongoing cooperation and teamwork, and regular discussion regarding process improvements.
    • Interact with senior leadership across disciplines at a global level.
    • Support senior management in all aspects of the management and development of the discipline.
    • Maintain a positive approach, building a motivating and professional team environment.
    • Facilitate the flow of information, comment and feedback between senior management and all levels of staff.
    • Build an open and communicative environment in which concerns can be raised and where the input of all is evidently valued.
    • Work closely with Human Resources to devise recruitment strategies, perform recruitment activities on behalf of the department, and achieve a high retention rate.
    • Work with Training specialists and other disciplines to ensure all members of the department receive training required to fulfill current role or to develop further.
    • Provide ongoing guidance and mentoring within the department to ensure thorough knowledge of the processes used and ongoing technical development.
    • Carry out line management responsibilities for assigned staff, including Performance Management and Development activities, disciplinary procedures and administrative activities.
    • Provide input to the optimal global utilization of resources in Biostatistics and Statistical Programming based on project requirements, resource availability, efficient utilization, and staff competencies and development needs.
    • Work with global counterparts and senior management within other disciplines to optimize utilization of resource.
    • Responsible for giving input to planning of, and for subsequent management of, departmental budgets to the maximum benefit of individuals, the department and the business.
    • Ensure that appropriate project management tracking and review activities occur within the department on a regular and timely basis with resolution of identified issues and proactive tracking and financial management of non-contract tasks.
    • Project management activities for identified projects including financial, resource planning and utilization, timelines and milestone management.
    • Actively promote business development activities, marketing statistical and statistical programming capabilities so as to acquire new business within the strategic plan.
    • Ensure provision of input and review of new business proposals, including time and cost estimates and associated documentation; participate in associated client development activities.
    • Prioritize workload within the department to meet specified completion dates while maintaining high levels of quality, internal and external client satisfaction, and profitability.
    • Ensure the delivery of high quality work to internal and external clients through ongoing quality management and review.
    • Advise on statistical aspects of submissions to regulatory authorities; participate in presentations to regulatory reviewers.
    • Identify opportunities to interact with other operational areas to further the delivery of quality and timely products by Covance.
    • Proactively lead, review and amend departmental processes and documentation.
    • Drive new initiatives including process improvements within Covance.
    • Organize and chair department meetings.
    • Identify and participate in the assessment and implementation of new technologies or of new applications for existing technologies.
    • Represent department during audits, particularly those related to new client opportunities.
    • Carry out all activities according to appropriate Covance SOPs, working within the framework of the Quality Management System and to GCP.
    • Perform other duties as requested by management


    • Experience Required:
    • 10 years of relevant work experience with approximately 5 years of supervisory experience to include data management, clinical operations, biostatistics, and statistical programming and at least 3 years of project responsibility with a CRO.
    • Strong managerial and interpersonal skills.
    • Demonstrated skill for management of staff exceeding 15 employees at a site.
    • Excellent oral and written communication and presentation skills; able to communicate effectively throughout Covance and with its clients.
    • In-depth knowledge of the clinical trial process, biostatistics, statistical programming, data management, clinical operations, quality management, and systems applications to support operations.
    • Knowledge of the metrics, tools and processes used within Covance to manage projects.
    • Excellent problem-solving skills and ability to take ownership of decision-making.
    • Demonstrates self-motivation to lead team on business strategies and achievement of department goals, objectives, and initiatives.
    • A proactive approach to the management of day-to-day activities and actions that may affect Covance as a business.
    • The ability to plan and to adapt to changing situations.


    Education Required:

    • M.S. in Statistics, Applied Statistics or Mathematics preferred, preferably with a strong medical statistics component. (Alternative academic qualifications are assessed for comparability.)


    Covance is committed to diversity in the workplace and is an equal opportunity employer (Minority/Female/Individual with Disability/Veteran/Sexual Orientation/Gender Identity). Your confidentiality and privacy are important to us.


    MA or MS in statistics subject, preferably with a strong medical statistics component.
    (Alternative academic qualifications are assessed for comparability.


    • Twelve years of postgraduate experience in the application of statistics to clinical trials,
    preferably with at least 2 years of statistical project responsibility with a CRO.
    • A broad up-to-date knowledge of statistics as applied in clinical trials across therapeutic areas.
    • At least 6 years line management experience.
    • SAS proficiency including use of a variety of statistical procedures, e.g., non-parametric
    analysis, linear and non-linear models, categorical data and survival analysis.


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