Scientific Data Curator 3 - 73586
Description Stanford University Department of Genetics has an excellent opportunity available for a motivated and experienced Scientific Data Wrangler. This individual will work with projects funded to coordinate and integrate data being submitted from human and model organisms research as part of ENCODE consortium funded by the National Institutes of Health. The Scientific Data Wrangler will serve as the primary liaison with international research laboratories to facilitate the acquisition of high-throughput data published from these labs as well as collect experimental conditions and parameters to describe these data. This position will work as part of a small team of professionals including Ph.D. biologists and software engineers to visualize and provide access to these state-of-the-art genomic and epigenomic data to researchers worldwide. This position will work on the ENCODE and other model organism projects funded by the National Institutes of Health.
The successful candidate will have knowledge of high-throughput experimental methodologies, large genomic datasets, and their computational analysis in order to successfully describe these 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. An advanced education in biology or bioinformatics is highly desired to facilitate the assessment of experimental details and to successfully evaluate quality control of novel experimental data. This individual 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 these high-throughput 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.
The successful applicant should be confident making decisions regarding their technical evaluation of new data types, and providing their opinions on the design and implementation of the website applications by other programmers and curators. The candidate will be a source of help and guidance for project staff, and for other groups using these data. In addition, the successful applicant will be responsible for researching alternative technical solutions and/or interesting problems of data analysis and visualization, and presenting their findings to the entire staff.
The successful candidate must be able to learn and work independently, yet collaborate effectively with co-workers. Previous experience working in an academic environment is a plus. The work will take place in a dynamic environment where specifications often change rapidly in response to user demand, so the candidate must be able to be flexible in his or her software design and implementations. The successful candidate will work at Stanford University in Palo Alto, California. This position complies with and supports University and government health and safety regulations and policies.
*- Other duties may also be assigned
Qualifications DESIRED QUALIFICATIONS:
EDUCATION & EXPERIENCE (REQUIRED):
- Working knowledge of python or equivalent.
- Laboratory experience with in model genomics laboratory techniques.
- Experience with REST APIs, relational databases, software development environments, and version control.
- Familiarity with controlled vocabularies and ontologies.
- Experience with genome browser configuration.
- Experience with relational databases, data integration, and statistics.
- Experience with computer programming (scripting).
- Technical expertise in genetics, molecular biology, or bioinformatics.
- Experience with modern high-throughput genomics and proteomics experiments and their data types.
- Experience with data quality assessment.
- Experience with both independent and collaborative work environments
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):
- Strong 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.
* - 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.
- May work extended or non-standard hours based on project or business needs.
- Occasional 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
Job: Information Analytics
Location: School of Medicine
Job Code: 4183