Job Description

Overview We are seeking a talented and motivated Bioinformatics Specialist (Biostatistician 1) at 100% FTE. The successful candidate will have expertise in bioinformatics/systems biology with a focus on analyzing omics data, including gene expression profiling, and will work in Dr. Bali Pulendran’s laboratory at the Institute for Immunity, Transplantation, and Infection at Stanford University. The individual will join a dynamic, interdisciplinary group of researchers including immunologists, vaccinologists, clinicians, and bioinformaticians, to address major global health issues relating to vaccines and infectious diseases, funded by the National Institutes of Health and the Bill and Melinda Gates Foundation. The successful applicant will perform integrative analysis of omics profiling of the transcriptome, epigenome, and metabolome to discover biomarkers of vaccine efficacy and new biological insights about the human immune system. The successful candidate will both lead and collaborate on projects aimed to using systems biological approaches to define the correlates and mechanisms of immunity to vaccination. Responsibilities Analyze and integrate omics datasets from multiple platforms (single cell RNA sequencing, single cell ATAC-sequencing, multidimensional flow cytometry and metabolomics). Work with a multi-disciplinary team of immunologists, clinicians and bioinformaticians to apply novel and complex statistical approaches to immunological data generated in clinical studies. Contribute to the development of bioinformatics workflows and pipelines. Collaborate with experimental immunologists in the analysis and visualization of omics data. Maintain a database of omics data generated in the lab. Duties include Design study. Implement protocol for quality control. Create analytic files with detailed documentation. Implement data analysis through statistical programming. Present results for investigators using graphs and tables. Summarize findings orally and in written form. Participate in the preparation of papers for publication. Qualifications Duties include: See above Desired Qualifications An MS, Ph.D. in bioinformatics, computational biology, computer science, or in a relevant biological discipline. Demonstrated experience in bioinformatics research, focusing on transcriptional profiling and predictive modeling. Familiarity with working in a Linux/Unix environment; experience in Linux system administration and hardware configuration is a plus. Experience with development and maintenance of relational databases. Fluency in at least one programming language (R, Python, Perl, Matlab). Adequate knowledge of molecular biology, and a commitment to deepen understanding of these fields. Knowledge in immunology is preferred though not essential. Expert knowledge of bioinformatics applications and biological databases. Strong quantitative or statistical background, experience in machine learning and predictive modeling desirable. Excellent verbal and written communication skills. Education & Experience (Required) Master\'s degree in biostatistics, statistics or related field. Knowledge, Skills and Abilities (Required) Proficient in at least two of R, SAS, SPSS, or STATA. Skills in descriptive analysis, modeling of data, and graphic interfaces. Outstanding ability to communicate technical information to both technical and non-technical audiences. Certifications & Licenses None Physical Requirements • 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. Working Conditions May work extended or non-standard hours based on project or business cycle needs. Additional Information Schedule: Full-time Job Code: 5521 Employee Status: Regular Grade: H Requisition ID: 107611 Work Arrangement: On Site #J-18808-Ljbffr Stanford University

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