Data Wrangler (Scientific Data Curator 3)
Data Wrangler (Scientific Data Curator 3)
Job Number: 80652
Job Code: 4183
Job Grade: J
The Department of Genetics at Stanford University has an excellent opportunity for a motivated and experienced scientist that is interested in big data management and wrangling. We are currently hiring two candidates in this role. In this position you will work in a small team of professionals including Ph.D. biologists and software engineers at the data coordination center of the ENCODE project. ENCODE is funded by the National Institute of Health to create a catalog of all the functional elements in the human genome, subsequently making it available to scientists worldwide for the study of human health and disease. You will serve as the primary liaison with international research laboratories to facilitate the acquisition of the high-throughput data produced by these labs and will be responsible for data modeling and curation.
A strong candidate will have deep knowledge of high-throughput experimental methodologies, large genomic datasets, and their computational analysis in order to successfully describe these types of data. Prior laboratory experience generating genomic datasets and/or bioinformatics analysis experience to identify RNA transcripts, transcription factor binding sites, histone modifications, epigenomics and SNPs within genomic datasets is desired. Familiarity with the use of controlled vocabularies and ontologies to described biological concepts is a plus. Ph.D. in biology or bioinformatics is highly desired to facilitate the assessment of experimental details and to successfully evaluate quality control of novel experimental data. In this position you will be responsible for working with the software engineering, literature curation, and bioinformatics staff in the specification, design, and implementation of tools that integrate, search, and display experimental data.
Excellent verbal and written communication skills are essential in order to provide instruction and feedback to members of the scientific community in order to facilitate the acquisition and description of high-throughput data, to effectively provide documentation and specifications to co-workers during tool development, and to contribute to FAQs, tutorials, and publications.
* - Other duties may also be assigned.
EDUCATION & EXPERIENCE (REQUIRED):
- Doctor of Medicine, Pharmacy, or Doctor of Philosophy in scientific field and three years of relevant experience, or combination of relevant experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Detail-oriented with strong organizational and analytical skills.
- Demonstrated experience with relational databases, data integration, and statistics.
- Strong written and oral English communication skills.
- Computer skills, including word processing and spreadsheet applications.
- Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community.
- Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.
- May work extended or non-standard hours based on project or business needs. Occasional local travel may be required.
- Some work may be performed in a laboratory setting.
- 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.
Location: School of Medicine, California, United States
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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