Job Description

Scheduled Hours

0

Position Summary

The Zhao Laboratory is seeking outstanding candidates interested in developing and applying statistical model and machine/deep learning methodology in clinical study and medical research to improve womenâ™s health. The goal of the lab is to develop AI powered methods in medical research of OBGYN field to provide improved diagnosis and risk prediction.


The successful applicant will utilize statistical models and machine/deep learning methods to process and analyze biomedical imaging data, including, but not limited to, pathology assay images, ultrasound images, and wearable device data of actigraphy measures. Applicants with a strong background in these areas and of various levels of experience are encouraged to apply.


Assists with research study, experiments, preparation of material, and documentation.

Job Description

Primary Duties & Responsibilities:

• Assists the investigator with research studies, experiments and assays, including data management, preprocessing of data and quality check.
• Enters data and maintains current data files on research projects. Monitors data to ensure consistent quality.
• May perform preliminary statistical analysis of data.
• May perform preliminary machine learning / deep learning method in data analysis.
• Complies with established safety procedures and maintains required documentation on laboratory and specimen conditions.
• Coordinates research project with other institutions and investigators.
• Participates in developing hypotheses to be tested and ways of testing it.
• Assists with general supply/equipment orders, lab maintenance and cleaning.
• Performs literature research on specified topics.
• Performs other duties as assigned.

Working Conditions:

• Works in a laboratory environment with potential exposure to biological and chemical hazards.

• Must be physically able to wear protective equipment and to provide standard care to research animals.

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:

Bachelorâ™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:

Laboratory Operations (2 Years)

Skills:

Not Applicable

Driver's License:

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

More About This Job

Preferred Qualifications

• Working experience of machine learning and deep learning project in computer vision field.

Preferred Qualifications

Education:

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

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:

Computer Software, Deep Learning, Document Research, Laboratory Processes, Machine Learning, Scientific Research

Grade

R07-H

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ .

Accommodation

If you are unable to use our online application system and would like an accommodation, please email   [email protected]   or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

EEO/AA Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the Universityâ™s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity Statement

Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment â“ fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

About Washington University in St. Louis

Washington University in St. Louis, a medium-sized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an ever-changing, multicultural world. The University offers more than 90 programs and almost 1,500 courses leading to bachelor's, master's and doctoral degrees in a broad spectrum of traditional and interdisciplinary fields, with additional opportunities for minor concentrations and individualized programs. The faculty is composed of scholars, scientists, artists and members of the learned professions. They serve society by teaching; by adding to the store of human art, creativity, understanding, and wisdom; and by providing direct services, such as health care.

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Job Tags

Temporary work, Work experience placement, Relief,

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