Stanford University Department of Genetics has an excellent opportunity available as a part of the Lattice team, the data coordination center for the data generated by Chan Zuckerberg Initiative-funded Human Cell Atlas (HCA) Seed Networks. The HCA is a worldwide effort to characterize and map all cells in the human body using high-throughput, high-resolution technology, including single-cell genomics and imaging assays, and the Seed Networks are a foundational component of that effort. The vast amount of data that will be generated by the Seed Networks will be made freely accessible to the entire scientific community and will be integrated towards a reference map of the human body. This reference resource will make fundamental contributions to our understanding of human biology, disease, and treatments. Lattice is primarily responsible for collaborating with data generators to wrangle data into the Lattice database and subsequently into community resources, as well as interacting with the scientific community to ensure data meet reuse requirements.
The Senior Biocuration Scientist will join a team of Ph.D. biologists, computational biologists, experienced database managers in the Cherry Lab, and will collaborate with HCA data generators and data integrators to ensure data are made accessible to the scientific community and are suitable for reuse. The successful candidate will be able grasp large, complex research and discussions, and place specific experiments into the context of the greater scientific community to identify and communicate key experimental variables. They will form collaborative relationships with HCA researcher and will engage with the community, through published research and at scientific conferences, to understand the needs of data generators and data users. They will distill those needs into data resource requirements and features that will improve the accessibility and usability of data to researchers worldwide.
We look forward to adding a motivated contributor towards our mission as a part of this ground-breaking project.
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):
- 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.
KNOWLEDGE, SKILLS AND ABILITIES (DESIRED):
- Technical expertise in genetics, molecular biology, and/or bioinformatics.
- Experience with laboratory methods in genomics.
- Familiarity with modern high-throughput genomics and proteomics experiments and their data types.
- Familiarity with controlled vocabularies and ontologies.
- Experience with computer programming (scripting).
- Experience with data quality assessment.
CERTIFICATIONS & LICENSES:
- 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 local travel may be required.
- Some work may be performed in a laboratory setting.
WORK STANDARDS (from JDL):
- 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 .
- Schedule: Full-time
- Job Code: 4103
- Employee Status: Regular
- Pay Grade: F
- Department URL: http://genetics.stanford.edu/
- Requisition ID: 90371
As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy