Bioinformatician 2 – Computational Spatial Biology
Inside Higher Ed, Palo Alto, CA, United States
Stanford University – School of Medicine, Stanford, California, United States – Research Data Analyst 2
Duties
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 causes 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.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Other duties may be assigned as needed.
The expected pay range for this position is $108,002 to $128,138 per annum.
Qualifications
MS or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, Biomedical Data Science, or a related quantitative field, with 1 to 2 years of relevant research experience.
Experience analyzing and interpreting genomic, spatial omics, and proteomic datasets, including data generated from platforms such as Xenium, Visium, CosMx, CODEX, and single‑cell RNA‑seq, with demonstrated proficiency in single‑cell RNA‑seq analysis workflows.
Prior experience analyzing the tumor microenvironment is highly desirable, along with familiarity with resources and databases related to cancer hallmarks, ligand–receptor interactions, and drug response.
Strong interest in cancer biology and in deriving biologically meaningful insights from computational analyses; experience contributing to peer‑reviewed publications is desirable.
Proficiency in Python and R, including experience with commonly used analysis frameworks such as Seurat, scverse, and Bioconductor.
Strong foundation in statistics, data analysis, and computational methods; familiarity with machine learning and algorithm development is desirable.
Experience working in Unix/Linux computing environments, including use of high‑performance computing clusters and, ideally, GPU‑enabled workflows.
Experience with GitHub, version control, and repository management for collaborative and reproducible research.
Ability to work independently under general guidance, manage multiple priorities, and contribute effectively in a collaborative multidisciplinary research environment.
Excellent oral and written communication skills, with a strong interest in connecting computational analysis to meaningful biological and translational questions.
Education & Experience (required)
Bachelor’s degree and three years of relevant experience or combination of education and relevant experience.
Knowledge, Skills and Abilities (required)
Substantial experience with MS Office and analytical programs.
Excellent writing and analytical skills.
Ability to prioritize workload.
Certifications & Licences
None
Physical Requirements
Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
Occasionally use a telephone.
Rarely writing by hand.
Working Conditions
Some work may be performed in a laboratory or field setting.
Additional Information
Schedule: Full‑time
Job Code: 4752
Employee Status: Regular
Grade: I
Requisition ID: 108863
Work Arrangement: Hybrid Eligible
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.
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Duties
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 causes 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.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Other duties may be assigned as needed.
The expected pay range for this position is $108,002 to $128,138 per annum.
Qualifications
MS or PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, Biomedical Data Science, or a related quantitative field, with 1 to 2 years of relevant research experience.
Experience analyzing and interpreting genomic, spatial omics, and proteomic datasets, including data generated from platforms such as Xenium, Visium, CosMx, CODEX, and single‑cell RNA‑seq, with demonstrated proficiency in single‑cell RNA‑seq analysis workflows.
Prior experience analyzing the tumor microenvironment is highly desirable, along with familiarity with resources and databases related to cancer hallmarks, ligand–receptor interactions, and drug response.
Strong interest in cancer biology and in deriving biologically meaningful insights from computational analyses; experience contributing to peer‑reviewed publications is desirable.
Proficiency in Python and R, including experience with commonly used analysis frameworks such as Seurat, scverse, and Bioconductor.
Strong foundation in statistics, data analysis, and computational methods; familiarity with machine learning and algorithm development is desirable.
Experience working in Unix/Linux computing environments, including use of high‑performance computing clusters and, ideally, GPU‑enabled workflows.
Experience with GitHub, version control, and repository management for collaborative and reproducible research.
Ability to work independently under general guidance, manage multiple priorities, and contribute effectively in a collaborative multidisciplinary research environment.
Excellent oral and written communication skills, with a strong interest in connecting computational analysis to meaningful biological and translational questions.
Education & Experience (required)
Bachelor’s degree and three years of relevant experience or combination of education and relevant experience.
Knowledge, Skills and Abilities (required)
Substantial experience with MS Office and analytical programs.
Excellent writing and analytical skills.
Ability to prioritize workload.
Certifications & Licences
None
Physical Requirements
Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
Occasionally use a telephone.
Rarely writing by hand.
Working Conditions
Some work may be performed in a laboratory or field setting.
Additional Information
Schedule: Full‑time
Job Code: 4752
Employee Status: Regular
Grade: I
Requisition ID: 108863
Work Arrangement: Hybrid Eligible
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.
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