Stanford Department of Biochemistry, a premier research-intensive intuition is actively recruiting for a dynamic candidate to serve as a Bioinformatician at 50% FTE in the Julia Salzman lab. The Salzman lab uses experimental and statistical tools to construct a high dimensional picture of gene regulation, including cis and trans control of the full repertoire of RNAs expressed by cells. For more information, please visit the lab website here: (http://med.stanford.edu/salzmanlab.html).
The Bioinformatician will work in a highly collaborative environment, carry out data analysis and integration, and apply best-in-class algorithms – or develop new algorithms – that directly address the motivating biological questions. Further, the Bioinformatician will develop reproducible and well-documented analytical pipelines for the analysis of high-throughput data, such as single-cell RNA-seq. Proficiency in high-throughput genomic data analysis and a good understanding of biological systems are required, as are experience in programming and a solid background in statistical analysis. Excellent interpersonal skills and the ability to interact effectively with members of the research teams are essential to the success of the individual in this position. The successful candidate must be able to learn and work independently, yet collaborate effectively with co-workers.
- Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
- Determine additional data collection and reporting requirements.
- Design and customize reports based upon data in the database.
- Oversee and monitor regulatory compliance for utilization of the data.
- Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
- Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
- Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
- Test prototype software and participate in approval and release process for new software.
* - Other duties may also be assigned.
- Four-year college degree in bioinformatics, biostatistics, computational biology, computer science, or similar, with a strong publication record.
- Alternatively, a PhD in one of the aforementioned fields (or similar) combined with a very strong record of data analysis.
- Working knowledge and a solid understanding of biological principles, bioinformatics terminology, and common sequence alignment programs (eg. Bowtie).
- An understanding of the statistical principles behind current best practices in high-throughput molecular data analysis.
- Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis.
- Ability to generate novel pipelines to analyze unique types of data.
- Proficiency with Unix systems and queuing systems (e.g. SLURM).
- Familiarity with reproducible computing research paradigms including Docker.
EDUCATION & EXPERIENCE (REQUIRED):
- Bachelor's degree and three years of relevant experience or combination of education and relevant experience.
- Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Substantial experience with MS Office and analytical programs.
- Excellent writing and analytical skills.
- Ability to prioritize workload.
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
* - 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.
- Some work may be performed in a laboratory or field 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.
- Schedule: Full-time
- Job Code: 4752
- Employee Status: Regular
- Grade: I
- Requisition ID: 87987