Job ID: 0621335
Job date: 2017-07-21
End Date:
Company : University of Virginia Country : Role : Postdoc
Job date: 2017-07-21
End Date:
Company : University of Virginia Country : Role : Postdoc
Job Description:
The Miller Laboratory at the University of Virginia seeks highly motivated and talented postdoctoral research associate with a background in bioinformatics or computer science to investigate the genetic basis of coronary artery disease (and other related diseases). This project will focus on the integration of large-scale human genetic and multi-omic datasets (e.g. bulk and single-cell RNA-seq, ATAC-seq) from normal and diseased environments. Ultimately the goals of this work are: 1) to elucidate novel disease associated loci and regulatory profiles, 2) to map context-specific gene-gene and gene-environment interactions, and 3) to construct and test causal regulatory networks. The candidate will also be encouraged to work with collaborators to assist in building bioinformatics software and infrastructure around these genomic datasets. The candidate will have access to a broad range of large-scale genetic and genomic datasets and will be exposed to a stimulating and multi-disciplinary environment in the Center for Public Health Genomics (CPHG). This work will involve close collaborations with members of the CPHG and the newly formed Data Science Institute. The candidate will also benefit from strong collaborations with faculty members of the Robert M. Berne Cardiovascular Research Center and in the Departments of Biomedical Engineering and Biochemistry and Molecular Genetics. Candidates must have a PhD in bioinformatics, computer science, genetics or related field required in hand by appointment start date. Expertise in a quantitative field involving computational analysis is expected. The successful candidate will have knowledge of human genetics, statistical genetics and molecular biology, as well as proficiency in scripting (e.g. python, C/C++, Bash) and data analysis (e.g. R). Excellent written and verbal communication skills required. Proficiency in database language (e.g. SQL, Reddis, Mongo) is preferred, as is proficiency in machine learning, deep learning or artificial intelligence.
Additional Info:
To apply, visit https://jobs.virginia.edu and search on Posting Number 0621335. Complete a Candidate Profile on-line; attach a current CV, cover letter, statement of research interests, and contact information for three references. The position will remain open until filled. For additional information about the position, please contact Dr. Clint L. Miller (clintm@virginia.edu). The University of Virginia is an equal opportunity/affirmative action employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply. University Leadership Characteristics: For Thomas Jefferson, learning was an integral part of life. The "academical village" was created around the assumption that learning is a lifelong and shared process, and that interaction between scholars and students enlivens the pursuit of knowledge. University Human Resources strives to identify applicants who will contribute as high potential employees, leaders and managers. We employ individuals who foster and promote the University mission and purpose. Successful candidates exemplify uncommon integrity; they are honest, trusted, team-oriented and live the core values of the University. These candidates display great judgment, by practicing evidence-based decision-making. They are strategically focused by contributing to and achieving department goals and vision. They set high performance standards and hold themselves accountable by aggressively executing these standards. These employees also develop a deep passion for the University and the impact it has on students, faculty, alumni and community. Successful candidates identify their personal career goals and development opportunities, and as supervisors, help their staff do the same. They contribute to team success by leading talent, through their individual efforts and by leading and developing their teams. Closing Date: Open Until Filled Required Applicant Documents:
The Miller Laboratory at the University of Virginia seeks highly motivated and talented postdoctoral research associate with a background in bioinformatics or computer science to investigate the genetic basis of coronary artery disease (and other related diseases). This project will focus on the integration of large-scale human genetic and multi-omic datasets (e.g. bulk and single-cell RNA-seq, ATAC-seq) from normal and diseased environments. Ultimately the goals of this work are: 1) to elucidate novel disease associated loci and regulatory profiles, 2) to map context-specific gene-gene and gene-environment interactions, and 3) to construct and test causal regulatory networks. The candidate will also be encouraged to work with collaborators to assist in building bioinformatics software and infrastructure around these genomic datasets. The candidate will have access to a broad range of large-scale genetic and genomic datasets and will be exposed to a stimulating and multi-disciplinary environment in the Center for Public Health Genomics (CPHG). This work will involve close collaborations with members of the CPHG and the newly formed Data Science Institute. The candidate will also benefit from strong collaborations with faculty members of the Robert M. Berne Cardiovascular Research Center and in the Departments of Biomedical Engineering and Biochemistry and Molecular Genetics. Candidates must have a PhD in bioinformatics, computer science, genetics or related field required in hand by appointment start date. Expertise in a quantitative field involving computational analysis is expected. The successful candidate will have knowledge of human genetics, statistical genetics and molecular biology, as well as proficiency in scripting (e.g. python, C/C++, Bash) and data analysis (e.g. R). Excellent written and verbal communication skills required. Proficiency in database language (e.g. SQL, Reddis, Mongo) is preferred, as is proficiency in machine learning, deep learning or artificial intelligence.
Requeriments :
Skills :
- Genetics
- genomic
- Human Genetics
- Machine Learning
- molecular biology
- Programing in C
- Programing in C++
- Programing in Python
- Programming in R
- RNA-seq
- Software Design
- SQL
Areas :
Additional Info:
To apply, visit https://jobs.virginia.edu and search on Posting Number 0621335. Complete a Candidate Profile on-line; attach a current CV, cover letter, statement of research interests, and contact information for three references. The position will remain open until filled. For additional information about the position, please contact Dr. Clint L. Miller (clintm@virginia.edu). The University of Virginia is an equal opportunity/affirmative action employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply. University Leadership Characteristics: For Thomas Jefferson, learning was an integral part of life. The "academical village" was created around the assumption that learning is a lifelong and shared process, and that interaction between scholars and students enlivens the pursuit of knowledge. University Human Resources strives to identify applicants who will contribute as high potential employees, leaders and managers. We employ individuals who foster and promote the University mission and purpose. Successful candidates exemplify uncommon integrity; they are honest, trusted, team-oriented and live the core values of the University. These candidates display great judgment, by practicing evidence-based decision-making. They are strategically focused by contributing to and achieving department goals and vision. They set high performance standards and hold themselves accountable by aggressively executing these standards. These employees also develop a deep passion for the University and the impact it has on students, faculty, alumni and community. Successful candidates identify their personal career goals and development opportunities, and as supervisors, help their staff do the same. They contribute to team success by leading talent, through their individual efforts and by leading and developing their teams. Closing Date: Open Until Filled Required Applicant Documents:
- CV / Resume
- Cover Letter
- Contact information for 3 References - name, email, phone
- Statement of Research Interest