Scheduled Hours

40

Position Summary

Performs innovative data analysis and/or data management expertly using statistical packages. Assists investigators in the design of experiments, clinical trials, and epidemiological studies. May be required to assume major responsibility on large project. This position is part of the Goss Lab (https://i2db.wustl.edu/people/charles-goss/)in the Institute for Informatics, Data Science and Biostatistics (I2DB). At I2DB we take a people-centric approach, and our team members are our number one asset. We are committed to providing safe and inclusive working conditions and take great care to support employees’ health and well-being. We embrace a flexible work environment to accommodate a range of work schedules and better work-life balance. Ensuring the well-being of our team members is a top priority.

We are seeking a dedicated data manager and biostatistical analyst to join our dynamic Data Management Core to provide critical support for studies within the broader Research and Development of Vaccines and Monoclonal Antibodies for Pandemic Preparedness (ReVAMPP) network (https://grants.nih.gov/grants/guide/rfa-files/RFA-AI-23-019.html). This role focuses on providing data management and statistical support for ReVAMPP studies across multiple research centers. The ideal candidate will work closely with multidisciplinary teams to ensure high-quality data and insightful data analysis.

Job Description

Primary Duties & Responsibilities:

• Performs data analysis and/or data management using the latest and best methodologies as implemented in statistical packages (SAS) including generation of tables and graphs.

• Advises and assists investigators in the design of experiments, clinical trials and epidemiological studies.

• Assists in data base design, implementation and maintenance of data collected over time for research purposes, including acquisition, editing and reporting.

• May assist in design and development of data entry systems.

• Functions as an expert statistical consultant primarily in collaborative studies involving the medical school community.

• Assumes major/exclusive responsibilities on large projects.

• Trains and/or supervises Statistical Data Analyst level staff.

• Assists investigators by preparing publication quality material including sections for manuscripts and grants.

Working Conditions:
Job Location/Working Conditions

• Normal office environment.

Physical Effort

• Typically sitting at desk or table.

• Repetitive wrist, hand or finger movement (PC Typing).

Equipment

• Office equipment.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Bachelor’s degree or combination of education and/or experience may substitute for minimum education.

Certifications:

No specific certification is required for this position.

Work Experience:

Relevant Experience (3 Years)

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

Washington University seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.

Preferred Qualifications

Education:

Master's degree

Certifications:

No additional certification beyond what is stated in the Required Qualifications section.

Work Experience:

No additional work experience beyond what is stated in the Required Qualifications section.

Skills:

Communication, Data Analysis, Data Management, Leadership, Organizing, Statistical Analysis Software (SAS), Statistical Data Analysis, Unix

Grade

G13

Salary Range

$65,900.00 - $112,700.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same