Inside Higher Ed
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.
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.
Design studies and implement protocols 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
MS or Ph.D. in bioinformatics, computational biology, computer science, or a relevant biological discipline.
Demonstrated experience in bioinformatics research, focusing on transcriptional profiling and predictive modeling.
Familiarity with Linux/Unix environment; 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).
Strong quantitative or statistical background, experience in machine learning and predictive modeling is highly desirable.
Knowledge of molecular biology; preferred but not essential immunology.
Excellent verbal and written communication skills.
Education & Experience Master’s degree in biostatistics, statistics, or related field.
Knowledge, Skills & Abilities
Proficient in at least two of R, SAS, SPSS, or STATA.
Skills in descriptive analysis, data modeling, 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, 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.
Salary: $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 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.
Stanford University 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.
Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu.
Additional Information: Full‑time, Regular, On Site. Requisition ID: 107611.
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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.
Design studies and implement protocols 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
MS or Ph.D. in bioinformatics, computational biology, computer science, or a relevant biological discipline.
Demonstrated experience in bioinformatics research, focusing on transcriptional profiling and predictive modeling.
Familiarity with Linux/Unix environment; 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).
Strong quantitative or statistical background, experience in machine learning and predictive modeling is highly desirable.
Knowledge of molecular biology; preferred but not essential immunology.
Excellent verbal and written communication skills.
Education & Experience Master’s degree in biostatistics, statistics, or related field.
Knowledge, Skills & Abilities
Proficient in at least two of R, SAS, SPSS, or STATA.
Skills in descriptive analysis, data modeling, 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, 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.
Salary: $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 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.
Stanford University 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.
Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu.
Additional Information: Full‑time, Regular, On Site. Requisition ID: 107611.
#J-18808-Ljbffr