Job Title: Statistical Research Analyst
The role of a Clinical Project Statistician involves driving clinical development programs forward. As part of this team, you will bridge the gap between patient and business needs by designing, developing, or assisting in the development of protocol designs, clinical plans, and data analysis plans in collaboration with physicians, research scientists, and medical colleagues. The primary responsibility lies in working with research associates and scientists to establish a reporting database and analyzing data for clinical studies.
Key Responsibilities:
1. Collaborate with study personnel to provide input on study protocols, design studies, and write protocols for conducting each study.
2. Assist in selecting statistical methods for data analysis, authoring corresponding sections of the protocol, and conducting actual analysis once a reporting database is created.
3. Maintain currency with respect to statistical methodology and proficiency in applying new and varied methods.
Communication of Results and Inferences:
1. Work with team members to write reports and communicate results.
2. Communicate study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as one-on-one with key customers and presenting at scientific meetings.
Therapeutic Area Knowledge:
1. Understand disease states, competitive landscapes, and regulatory environments to enhance customer focus and collaboration.
Statistical Leadership and Teamwork:
1. Apply innovative methodology and tools to solve critical problems.
2. Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions.
Qualification Requirements:
1. M.S., Ph.D., in Statistics or Biostatistics.
Additional Preferences:
1. Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUG, etc.
2. Interpersonal communication skills for effective customer consultation.
3. Teamwork and leadership skills.
4. Tech expertise and application with working knowledge of experimental design and statistical analysis.