Biostatistician 2

Stanford University School of Medicine

Palo Alto (CA)

On-site

USD 120,000 - 180,000

Full time

4 days ago
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Job summary

Stanford University School of Medicine seeks a biostatistician to provide statistical support for a perinatal pharmacoepidemiology group. You will create datasets, implement analysis plans, and contribute to reports and publications in a collaborative research environment.

The role involves working with a diverse team on studies using large databases to understand medication use during pregnancy, with opportunities for career development and impactful health outcomes.

Qualifications

  • Master’s degree in biostatistics, statistics or related field with 3 years of experience.
  • Proficiency in at least two of R, SAS, SPSS, STATA and ability to communicate technical info to diverse audiences.
  • Experience with study design, quality control, and reporting for publications is desirable.

Responsibilities

  • Design study and develop analytic protocols.
  • Create analytic files with detailed documentation.
  • Select appropriate statistical tools for research questions.
  • Implement data analysis through statistical programming.
  • Present results with graphs and tables for investigators.
  • Prepare papers for publication and conference dissemination.
  • Mentor collaborators in experimental design and analysis.
  • Oversee lower-level staff on analysis file creation.

Skills

Descriptive analysis
Data modeling
Data visualization
Statistical programming
Communication

Education

Master’s degree in biostatistics or related field
3 years of experience

Tools

R
SAS
SPSS
STATA

Job description

Job Description

The Department of Anesthesiology, Perioperative, and Pain Medicine, at Stanford University’s School of Medicine, is a world-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting-edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education.

Job Description

The Department of Anesthesiology, Perioperative, and Pain Medicine, at Stanford University’s School of Medicine, is a world-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting-edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education. Department of Anesthesiology, Perioperative and Pain Medicine is seeking a highly motivated, hardworking and professional biostatistician. The primary role of this position is to provide statistical support for a perinatal pharmacoepidemiology research group. Our research team is focused on conducting impactful research studies using large databases to improve the understanding of the use and effects of medications during and after pregnancy. The biostatistician will work closely with the research team to create and manage relevant datasets, implement analysis plans, provide analytical output, and contribute to the reporting and publication of findings. The successful candidate will work on a variety of collaborative projects. At Stanford University School of Medicine, the work we do touches the lives of those today and tomorrow. Through education, research, and health care, the School of Medicine improves health through leadership, diversity, collaborative discoveries, and innovation in health care. Whether working in departments with faculty, or in units that support the school, our staff are a part of teams that propel us on our journey toward the future of medicine and Precision Health. Stanford is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase financial stability and promote healthy, fulfilling lives. An award-winning employer, Stanford offers an exceptional setting for professionals looking to advance their careers. The School of Medicine and the Department of Anesthesia are committed to diversity, equity, and inclusion for its faculty, staff, residents, postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department. For more information on our department, please see our website: https://med.stanford.edu/anesthesia.html

Responsibilities
Core Duties
  • Design study.
  • Develop and implement protocol for quality control.
  • Create analytic files with detailed documentation.
  • Select appropriate statistical tools for addressing a given research question.
  • Implement data analysis through statistical programming.
  • Present results for investigators using graphs and tables.
  • Summarize findings orally and in written form.
  • Participate in the preparation of papers for publication.
  • Consult with investigators on appropriate statistical approaches to data analyses; assist in study design and proposal development.
  • Mentor collaborators in areas of experimental design, quality control, and statistical analysis
  • Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
  • Oversee lower-level staff on issues related to quality control and creation of analysis files.
Minimum Education And Experience

Master’s degree in biostatistics, statistics or related field and three years of experience.

Knowledge, Skills And Abilities
  • Proficient in at least two of R, SAS, SPSS, or STATA.
  • Skills in descriptive analysis, modeling of data, and graphic interfaces.
  • Outstanding ability to communicate technical information to both technical and non-technical audiences.
  • Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator)
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