The Department of Genetics at Stanford School of Medicine is seeking a Basic Life Science Research Associate to help manage a NHGRI-funded project as part of the ENCODE Consortium.

We’re looking for someone with a science background, demonstrated project management abilities and a large-scale data production mindset. As a Project Manager for Prof. Mike Snyder’s ENCODE Mapping Center you’ll play a key role driving data production, ensuring data quality, and timely delivery. You’ll work closely with a diverse team of scientists including lab scientists, bioinformaticians, and software engineers to achieve data production goals.
2 Year Fixed Term

What you’ll do:
Be responsible for resource planning, project timelines and project deliverables for entire Mapping Center
Lead and direct several projects simultaneously across multiple study sites and research teams
Facilitate project meetings and decision making, ensuring alignment with project team members and principal investigators
Provide leadership and scientific expertise to a team of research assistants to meet program objectives and data production goals
Ensure processes are standardized, well-executed, documented, and comply with ENCODE quality standards
Oversee new protocol development and optimize new technologies for data production pipelines
Initiate, obtain, and maintain legal certifications for human research samples
Work with software engineer to define and coordinate the buildout of a custom laboratory information management system (LIMS)
Work with the Bioinformatics team on data analysis, metadata organization and data submission through LIMS to the ENCODE database repositories
Interface with NHGRI and other teams of the ENCODE Consortium on developing data quality standards and analysis pipelines as well as work on coordination of Consortium wide data generation efforts
What you’ll bring:
Must have a PhD in Biology or similar life science discipline with 3+ years of experience in genomics research and molecular biology
A solid understanding of laboratory techniques especially Next-generation Sequencing (NGS) and experience with data analysis
Excellent communication and teamwork skills including the ability to break down complex tasks into actionable deliverables and to create timelines
Strong organizational skills and attention to detail
Excellent analytical and problem-solving skills and sound scientific judgment
Ability to work both independently and collaboratively with shifting priorities and under deadlines
Strong interpersonal skills to establish solid relationships with Mapping Center partners and Consortium members
Plus: Experience with CRISPR gene editing, ChIP-seq, ATAC-seq, single cell methods, and LIMS
Plus: Experience managing teams and working in cross-functional teams especially with software engineers and bioinformaticians
“Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research mission”.