Post-Doctoral Research Associate - Computational Biologist
- Oakland University
- Rochester, Michigan
- Part Time
Post-Doctoral Research Associate - Computational Biologist
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Position Approval Information
First Section
School/College: College of Arts & Sciences
Department: 0305 - Biological Sciences
Position Title: Others
Field of Specialty: Computational Biology
Name of Department Chair: Gerard Madlambayan
Expected Hire Date: 05/15/2025
Posting Details
Position Information
Job Title: Post-Doctoral Research Associate - Computational Biologist
Job Description Summary:
The Oakland University Institute for Data Science, in conjunction with scientists at the Universityof Michigan and Harvard have recently formed a collaborative American Heart Association funded Strategically Focused Research Network (newsroom.heart.org/news/researchers-awarded-15-million-to-study-inflammations-impact-on-heart-brain-health). This network has been established to focus on the interrelated domains of heart and brain health and aims to bring participating researchers together to unravel the biological mechanisms that the heart and brain have in common, as well as how these organs signal to each other and impact clinical outcomes. Despite the recognized interconnectedness of these health areas, especially in relation to metabolic, neurodegenerative, neurological, and neurocognitive disorders, few, if any, platforms offer integrated research solutions in this space. The role of the Institute for Data Science is to provide a computational platform that will be the heart of data analytics for this research network.
We are searching for a highly motivated and computationally skilled individual to join the team interested in harnessing, merging, and sharing data, algorithms, and computational resources to discover innovative insights, launch clinical and translational research studies, and evaluate treatments arising from our collaborative research efforts that relate heart and brain health and disease(s). The selected candidate will focus on methods for analyzing diverse data types and integrating 'omics expression data, imaging data, and wearable sensors data. The data types included will range from patient-specific to aggregated data, spanning the continuum of genetics, multi-omics, metabolomics, physiologic/wearable data, tissue, organ, imaging data, and patient-specific longitudinal electronic health record (EHR) data, including relevant Social Determinates of Health (SDOH) and geospatially encoded demographic and health outcomes data.
Minimum Qualifications:
Recent PhD in computational Biology, Statistics, Computer Science or related field. Deep understanding of next generation sequencing data and bioinformatics algorithms. Provide best practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA-seq, ChIP-seq, ATAC-seq, Methyl-seq, DNA-seq, and Microbiome Sequencing. Multi-omics analysis is often needed. Proven experience working in a Linux cluster environment. Experience in cloud environments is also a plus. Familiarity with analysis of Biobank data, human microbiome sequence data (16S rRNA, metagenomics) and/or multi-omics data (e.g. transcriptomics or metabolomic).Strong background in one or more of the following: pedigree analysis, machine learning, statistical methods, variant annotation and interpretation, Genome Wide Association Studies (GWAS), imaging analysis, and wearable sensor data analysis. Knowledge of general principles for regulatory compliance, including understanding of the NIH Security Best Practices for Controlled Access Data Subject to the NIH Genomic Data Sharing (GDS) Policy (aka dbGaP compliance).Experience with project management.
Special Instructions to Applicants:
Oakland University Standard Language
Oakland University is a nationally recognized doctoral university of high research activity located on 1,443 acres of scenic land in the cities of Rochester Hills and Auburn Hills in Oakland County, Michigan. The University has 142 bachelor's degree programs and 138 graduate degree and certificate programs. Academics include programs in the College of Arts and Sciences, School of Business Administration, School of Education and Human Services, School of Engineering and Computer Science, School of Health Sciences, School of Medicine and School of Nursing. As an anchor institution in southeastern Michigan, Oakland University is committed to building ongoing and collaborative relationships with the surrounding communities. Community and civic engagement enhances the lives of our students and has a positive impact on our broader community.
Open Date: 03/18/2025
Open Until Filled: Yes
Job Category: Part-time Faculty
EEO Statement Summary:
Oakland University is an Affirmative Action/Equal Opportunity Employer and encourages applications from women and minorities.
Applicant Documents
Required Documents
Curriculum Vitae (CV)
Cover Letter
Transcripts (unofficial)
Optional Documents
Bookmark this Requisition Print Preview | Apply for this Job
Position Approval Information
First Section
School/College: College of Arts & Sciences
Department: 0305 - Biological Sciences
Position Title: Others
Field of Specialty: Computational Biology
Name of Department Chair: Gerard Madlambayan
Expected Hire Date: 05/15/2025
Posting Details
Position Information
Job Title: Post-Doctoral Research Associate - Computational Biologist
Job Description Summary:
The Oakland University Institute for Data Science, in conjunction with scientists at the Universityof Michigan and Harvard have recently formed a collaborative American Heart Association funded Strategically Focused Research Network (newsroom.heart.org/news/researchers-awarded-15-million-to-study-inflammations-impact-on-heart-brain-health). This network has been established to focus on the interrelated domains of heart and brain health and aims to bring participating researchers together to unravel the biological mechanisms that the heart and brain have in common, as well as how these organs signal to each other and impact clinical outcomes. Despite the recognized interconnectedness of these health areas, especially in relation to metabolic, neurodegenerative, neurological, and neurocognitive disorders, few, if any, platforms offer integrated research solutions in this space. The role of the Institute for Data Science is to provide a computational platform that will be the heart of data analytics for this research network.
We are searching for a highly motivated and computationally skilled individual to join the team interested in harnessing, merging, and sharing data, algorithms, and computational resources to discover innovative insights, launch clinical and translational research studies, and evaluate treatments arising from our collaborative research efforts that relate heart and brain health and disease(s). The selected candidate will focus on methods for analyzing diverse data types and integrating 'omics expression data, imaging data, and wearable sensors data. The data types included will range from patient-specific to aggregated data, spanning the continuum of genetics, multi-omics, metabolomics, physiologic/wearable data, tissue, organ, imaging data, and patient-specific longitudinal electronic health record (EHR) data, including relevant Social Determinates of Health (SDOH) and geospatially encoded demographic and health outcomes data.
Minimum Qualifications:
Recent PhD in computational Biology, Statistics, Computer Science or related field. Deep understanding of next generation sequencing data and bioinformatics algorithms. Provide best practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA-seq, ChIP-seq, ATAC-seq, Methyl-seq, DNA-seq, and Microbiome Sequencing. Multi-omics analysis is often needed. Proven experience working in a Linux cluster environment. Experience in cloud environments is also a plus. Familiarity with analysis of Biobank data, human microbiome sequence data (16S rRNA, metagenomics) and/or multi-omics data (e.g. transcriptomics or metabolomic).Strong background in one or more of the following: pedigree analysis, machine learning, statistical methods, variant annotation and interpretation, Genome Wide Association Studies (GWAS), imaging analysis, and wearable sensor data analysis. Knowledge of general principles for regulatory compliance, including understanding of the NIH Security Best Practices for Controlled Access Data Subject to the NIH Genomic Data Sharing (GDS) Policy (aka dbGaP compliance).Experience with project management.
Special Instructions to Applicants:
Oakland University Standard Language
Oakland University is a nationally recognized doctoral university of high research activity located on 1,443 acres of scenic land in the cities of Rochester Hills and Auburn Hills in Oakland County, Michigan. The University has 142 bachelor's degree programs and 138 graduate degree and certificate programs. Academics include programs in the College of Arts and Sciences, School of Business Administration, School of Education and Human Services, School of Engineering and Computer Science, School of Health Sciences, School of Medicine and School of Nursing. As an anchor institution in southeastern Michigan, Oakland University is committed to building ongoing and collaborative relationships with the surrounding communities. Community and civic engagement enhances the lives of our students and has a positive impact on our broader community.
Open Date: 03/18/2025
Open Until Filled: Yes
Job Category: Part-time Faculty
EEO Statement Summary:
Oakland University is an Affirmative Action/Equal Opportunity Employer and encourages applications from women and minorities.
Applicant Documents
Required Documents
Curriculum Vitae (CV)
Cover Letter
Transcripts (unofficial)
Optional Documents
Job ID: 469803592
Originally Posted on: 3/19/2025
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