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Senior Biostatistician

India, Remote Date posted 11/11/2022 Job ID R0000005338

As a Biostatistician at Parexel you’ll work on a variety of projects, while collaborating with our global team of experts. You’ll be able to develop your statistical skills, gain exposure to multiple therapeutic areas, become involved in business development activities, and have the opportunity to grow and develop your career within a flexible working environment. You’ll also contribute to research design and analytical strategies, provide input into protocols, and develop and review statistical analysis plans. Explore opportunities within our core Clinical Development, Biotech, or Functional Service Provider (FSP) teams below.

Success Profile

Check out the top traits we're looking for and see if you have the right mix.

  • Analytical
  • Communicator
  • Leadership
  • Efficient
  • Tech-Savvy
  • Personable
  • "Parexel is very team oriented, so you work with a lot of people and also get to work in different therapeutic areas. There are many opportunities to find what you enjoy and the management is very supportive."

    James - Associate Director, Biostatistics
  • "Parexel is a great place to grow your career, have fun, and make a difference. Our quality-focused team culture and supportive management ensure growth, learning opportunities and achievement for every employee."

    Eve - Associate Manager, Biostatistics

Rewards

  • Career Development

    Opportunity to learn and grow through a performance and development goal-setting program.

  • Balance

    We value work-life balance. We try and keep regular hours and a flexible working enviroment.

  • Open communication

    Work with industry leaders and subject matter experts.

  • Freedom

    The ability to innovate, ask “what if” and try new solutions without fear of failure.

  • Systems

    Utilize Parexel’s industry leading clinical systems and solutions

  • Mentoring program

    Strong mentors with depths of experience working for global health authorities.

Responsibilities

Operational Execution

  • Coordinate and lead a project team to successful completion of a project within timelines and budget
  • Interact with clients as key contact with regard to statistical and contractual issues
  • Perform QC of derived datasets, tables, figures and data listings produced by other members of the department
  • Check own work in an ongoing way to ensure first time quality
  • Understand and apply advanced statistical methods
  • Lead production and quality control of randomizations, analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents
  • Provide a supporting role as a non-voting independent statistician providing data and analysis for DMC review
  • Travel to, attend and actively contribute to all kind of client meetings as appropriate (eg discussing analysis concepts, presenting, discussing and interpreting study results)

Business Development

  • Support of Business Development, eg by actively contributing to study design considerations in internal and client meetings, providing and discussing sample size scenarios, support of budget and proposal development, attending and preparing bid defense meetings for potential studies, programs of work and FSPs

General Activities

  • Additional responsibilities as defined by supervisor/manager.

Skills

  • Good analytical skills
  • Good project management skills
  • Professional attitude
  • Attention to detail
  • Thorough understanding of statistical issues in clinical trials
  • Prior experience with SAS programming required
  • Ability to work independently
  • Good leadership skills
  • Good business awareness/ business development
  • Willingness to work in a matrix environment and to value the importance of teamwork

Knowledge and Experience

  • PhD in Statistics or related discipline with some experience or MS in Statistics or related discipline with significant experience
  • The knowledge of pharmacokinetic data is an advantage
  • Competent in written and oral English in addition to local language

Education:

PhD in Statistics or related discipline, MS in Statistics or related discipline


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