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.
• 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.
* - Other duties may also be assigned
The expected pay range for this position is $99,974 to $113,446 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.
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 welcomes applications from all who would bring additional dimensions to the University's research mission.
DESIRED QUALIFICATIONS:
The qualified applicants will have:
• An MS.C 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 is 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 intention to deepen and improve his/her 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 are highly 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.
* - 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.
WORKING CONDITIONS:
May work extended or non-standard hours based on project or business cycle needs.
