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Senior Statistical Analyst

2 months ago

Stanford, United States InsideHigherEd Full time
Position Overview:
The Quantitative Sciences Unit (QSU) is an innovative and collaborative statistics team within the Biomedical Informatics Research Division. Our mission is to enhance public health and address healthcare challenges through top-tier research in data science practices, while providing a foundation for leadership and education in interdisciplinary and translational research communities.

Role Summary:
We are looking for a dedicated and skilled Senior Biostatistician to join our dynamic team. This role offers exceptional opportunities for professional growth and engagement in a variety of collaborative medical projects.

Key Responsibilities:
  • Take charge of statistical leadership on research studies, including designing the study framework, formulating the analysis plan, and executing statistical programming and data management tasks.
  • Supervise and mentor junior quantitative scientists in data preparation and analytic file creation, fostering their development in collaborative research.
  • Lead statistical initiatives that involve evaluating statistical software or methodologies, as well as developing innovative methods as required for QSU projects.
  • Engage with clinical and laboratory investigators to independently design studies and create comprehensive analysis plans, refining research questions and hypotheses through direct collaboration.
  • Prepare and present findings for meetings with collaborators and for publication in medical or statistical journals. Additionally, develop educational materials on statistical methods for training purposes.

Qualifications:
  • Ph.D. in Biostatistics, Statistics, or a related discipline.
  • Ability to work both independently and collaboratively at an advanced level.
  • Proficiency in multiple statistical programming languages, including SAS and R.
  • Exceptional communication skills, capable of conveying complex technical information to diverse audiences.
  • Expertise in descriptive analysis, data modeling, and graphical representation.
  • Strong background in statistical methodologies.

Preferred Qualifications:
  • At least two years of experience in a collaborative quantitative scientist role.
  • SAS certification.
  • Experience in supervising technical staff, including training and mentoring.
  • Proven experience in developing and writing grant proposals.

Work Standards:
  • Exemplary interpersonal skills, demonstrating the ability to collaborate effectively with colleagues and external organizations.
  • Commitment to safety and compliance with university policies and procedures.

Compensation:
The expected salary range for this position is competitive and will be determined based on various factors, including the candidate's qualifications and departmental budget considerations.

Why Join Us:
Become part of a forward-thinking organization that values innovation and professional development. We offer a supportive culture, comprehensive benefits, and numerous opportunities for personal and professional growth.