Bioinformatics Analyst

Organization: 
Stanford University - School of Medicine, Department of Genetics
Job Location: 
Palo Alto, CA
Salary: 
$70-80k/yr
Benefits: 

newhire.stanford.edu

Job Description: 

Bioinformatics Analyst

Stanford Center for Genomics and Personalized Medicine, situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated Data Analyst to provide bioinformatics analysis support within the Stanford research community. This position is a customer-facing technical role that involves working alongside a small team of professionals, which include Ph.D. scientists and engineers, to process next-generation sequencing data in support of diverse genomics research projects. Your customers will include high profile research labs from across Stanford and other international Universities. The ecosystem at Stanford research includes many academic and commercial partnerships. It is a fast paced and professional work environment. It is a deep learning environment with immense growth potential.

The successful candidate will have deep knowledge of high-throughput sequencing technologies, experience with large genomic datasets, and their computational analysis in order to successfully understand these data.

Excellent communication skills are critical. A significant part of your work will involve interacting with customers, creating documentation and specifications during tool development/deployment, and contribute to wiki, FAQs, video tutorials, and publications.

Computational fluency in a Linux environment are essential as all analysis is in a High Performance Computing cluster environment. The successful candidate must be able to learn to 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 workload often change rapidly in response to user demand, so the candidate needs to be good at multi-tasking and managing expectations of multiple stakeholders. The successful candidate will comply with University and government health and safety regulations and policies.

Responsibilities:

Tasks will include managing bioinformatics pipelines for Next-Generation Sequencing data from various platforms, communicating the sequence data processing results to sample submitters in a helpful and timely fashion, and providing answers to technical questions through 1-on-1 communication and through written documentation. Candidate is expected to troubleshoot poor quality data arising from biological issues or analysis artifacts, propose methods to streamline data analysis, provide curation for omics data and implement QC metrics for data visualization. Candidate is expected to follow best practice guidelines in software development and customer support.

Requirements: 

Qualifications:

  1. Four-year degree in Biology, Computational Biology, Bioinformatics or related field and one year of related experience.
  2. Technical expertise in genetics, molecular biology, or bioinformatics.
  1. Experience with next-generation sequencing platforms and their data types.
  2. Strong experience with data quality assessment.
  1. Excellent verbal and written communication skills.
  2. Experience with user support.
  1. Experience working in a Linux high performance computing environment.
  2. Experience with computer programming (scripting).
  1. Able to develop data analysis programs in Perl, Python and R.
  2. Ability to multitask.

Desired Qualifications:

  1. Advanced degree in Biology, Computational Biology, Bioinformatics or related.
  2. Laboratory experience with genomics laboratory techniques.
  1. Experience with relational databases, software development environments, and version control.
  2. Experience with relational databases, software development environments, and version control.
  1. Experience working in academic environments.
Contact Information: 

Janina Dong
Recruiter, Stanford University Human Resources
janinad@stanford.edu

About Our Organization: 

When people think of Stanford, they think of one of the most prestigious academic institutions anywhere—a culture of research and entrepreneurship, where freedom to innovate continually extends the horizon of the possible. What they might not think about is the small city of staff members who contribute to every aspect of this world-changing enterprise. Every member of Stanford’s staff has an important job to do, and each takes pride and finds meaning in being part of an exceptional university.

Discover Stanford:
http://stanfordcareers.stanford.edu/discover-stanford