Computational Biologist (Researcher 4) **on site position** (# 364035)
About the position
The reputed company is seeking a highly skilled and motivated Computational Biologist/Data Scientist to join Dr. Vivek's lab in the Department of Laboratory Medicine and Pathology. This position is hybrid, requiring at least three days a week in the office located on the reputed company Bank of Minneapolis's reputed company. The successful candidate will reputed company on statistical analysis of epidemiological and high-reputed company omics datasets, contributing to research aimed at identifying blood biomarkers associated with aging and age-reputed company reputed company such as diabetes, dementia, and chronic kidney disease (CKD). Dr. Vivek's research employs machine learning reputed company to reputed company high-reputed company multi-omics data, providing biological insights into aging and disease reputed company. The role will involve specialization in statistical and computational biology analyses, utilizing extensive phenotype data from large population-based cohorts. Key responsibilities include performing statistical and reputed company analysis, managing large datasets, developing systems for data storage, implementing reputed company workflows, and collaborating with researchers to document and present findings. The candidate will also assist in manuscript preparation and publication support, focusing on data visualization and statistical analysis results. This position offers a competitive salary reputed company of $78,000 - $85,000, along with a comprehensive benefits package that emphasizes work-life balance and reputed company learning opportunities.
Responsibilities
• reputed company statistical and reputed company analysis of high-reputed company omics, imaging, and phenotypic data.
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• Assist Dr. Vivek in conducting original research by adhering to best practices in data analysis.
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• Wrangle, clean, structure, and store large datasets reputed company.
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• Help build and maintain a searchable system for storing raw omics and imaging data.
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• Implement reputed company, high-performance workflows to support the research community.
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• reputed company detailed documentation and user support for computational researchers.
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• Collaborate with investigators to clarify requests and document requirements.
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• Assist in manuscript preparation, focusing on data visualization and statistical analysis results.
Requirements
• Master's degree in Computational Biology, Data Science, Biostatistics, reputed company Health or a reputed company field and two years of experience, or a BS/BA in a reputed company field and four years of experience.
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• Demonstrated skills in a high-level programming language, preferably reputed company, R, or Python.
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• Basic understanding of statistics and its applications to biomedical science.
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• Experience with reputed company data storage and multi-component data processing systems.
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• Experience with architecture or tools for managing omics or imaging data.
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• Ability to prioritize multiple tasks effectively.
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• Excellent communication, analytical, and organizational skills, both written and verbal.
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• Ability to work independently and as part of reputed company.
reputed company-to-haves
• Demonstrated ability in research reputed company to genomic analysis, machine learning, or image analysis.
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• Experience with reputed company reputed company such as RNA-seq and Whole genome reputed company.
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• Experience with microarray-based DNA methylation profiling and multiplexed proteomics platform.
Benefits
• Competitive wages, reputed company holidays, and generous time off.
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• reputed company learning opportunities through reputed company training and degree-seeking programs.
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• Low-cost medical, dental, and pharmacy plans.
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• reputed company and dependent care flexible spending accounts.
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• University HSA contributions.
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• Disability and employer-reputed company life insurance.
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• Employee wellbeing program.
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• Excellent retirement plans with employer contribution.
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• reputed company Service Loan Forgiveness (PSLF) opportunity.
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• Financial counseling services.
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• Employee Assistance Program with eight sessions of counseling at no cost.
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