Scientific Data Research Assistant

Stanford University

Job Number: 82808

Stanford University, Division of Infectious Diseases is seeking a Scientific Data Research Assistant to enter data from a source document into a computer system and verify entries for accuracy and completeness. Maintain complex databases and develop tools and guidelines for data collection and integrity. Work is performed by exercising independent judgment and initiative in performing tasks. The Scientific Data Research Assistant will work on the Stanford HIV Drug Resistance Database (HIVDB). This position will involve expanding a widely used international resource and assisting with systematic reviews and meta-analyses pertinent to the use of HIV treatment.

The successful candidate will be supervised by Dr. Shafer and two bioinformatics software developers and will be trained in the principles of HIV drug therapy and drug resistance, the HIVDB project, and software for managing viral sequence data. Excellent communication skills are required as communicating with clinical researchers outside of HIVDB is a key part of the position.

Duties include:

• Maintain existing databases and develop guidelines to ensure data integrity; may integrate data from several sources.
• Identify and select usable data from extremely subtle and complex data patterns, applying practical understanding.
• Utilize computer applications to manipulate and report complex data.
• Develop new tools to assist with data collection and analysis.
• Collect, analyze and interpret information from peer-reviewed scientific journals and/or through direct submissions by applying specific scientific content knowledge. Abstract data into the required format, and verify for accuracy.
• Conduct independent research of literature and other available research to add content to the database.

* - Other duties may also be assigned
DESIRED QUALIFICATIONS:

• Bachelor degree in a scientific field.
• Ability to read and comprehend literature pertaining to HIV treatment, HIV drug resistance, and virus genetics.
• Facility with using online bioinformatics sequence analysis tools
• Ability to work with databases using sql queries.
• Strong analytical skills.
• Strong written and oral communication skills.
• Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community.

EDUCATION & EXPERIENCE (REQUIRED):

• High school diploma, G.E.D., or equivalent and three years of relevant experience or a combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Strong clerical, interpersonal, and organizational skills.
• Excellent computer skills.
• Ability to exercise judgment and employ basic reasoning skills.
• Strong attention to detail.

PHYSICAL REQUIREMENTS*:

• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

Job Family: Information Analytics
Job Series: Data Aide
Job Code: 4743
Grade: F
Exemption: Non-exempt
Schedule: Full-time Additional Information

• Schedule: Full-time
• Employee Status: Regular
• Requisition ID: 82808

Job:

Location: School of Medicine, California, United States
Schedule:
Classification Level:

To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.







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