Job ID: 176428863
Job date: 2017-02-06
End Date:
Company : University of Massachusetts Country : Role : Research Scientist
Job date: 2017-02-06
End Date:
Company : University of Massachusetts Country : Role : Research Scientist
Job Description:
The Research Fellow will participate in the fields of computational and systems biology and cancer genomics within the Department of Biology. The incumbent will assist the laboratory Principal Investigator (PI) in new and on-going research projects in the laboratory; will develop a two-year project that complements the lab's on-going work; and will participate in and assist with the organization of the laboratory's software development efforts. Current projects include protein-DNA binding specificity, delineating the mechanisms of p53 regulation, and finding TF-markers for cancer phenotypes. Future projects include subjects such as protein-RNA binding specificity and epigenetic markers for cancer phenotypes. The incumbent will expand upon our biophysical models for determining protein-DNA and protein-RNA binding specificity and use them to explain gene regulatory phenomena such as changes is binding due to epigenetic marks. Our research encompasses mechanistic modeling of transcriptional and translational gene regulation in the cell, and how those mechanisms go awry in gene regulatory diseases such as cancer. This position provides an excellent opportunity to participate in cutting-edge research in genomics and computational biology. The position offers a stimulating academic environment with opportunities to collaborate in a team setting, gain valuable written/oral communication skills, and co-author publications. Duties include, but are not limited to: -Assist the laboratory Principal Investigator (PI) in new and on-going research projects. -Participate in and assisting with the organization of the laboratory's software development efforts. -Analyze high-throughput microarray and sequencing data in R, Perl, Python, or Java. -Expand upon the biophysical models for determining protein-DNA and protein-RNA binding specificity. -Determine how in vivo epigenetic marks influence protein-DNA binding. -Use biophysical models for finding genetic and epigenetics markers for cancer phenotypes. -Program in Java, R, Perl, and possibly other languages, as well as profile hidden Markov models in Java. -Perform other duties as assigned. Requirements: PhD in Computational Biology, Bioinformatics, Biophysics or a closely related field required. Good quantitative, statistical and programming skills are required. Proficiency in Linux/Unix, Java, Perl, R, bash scripting, and DNA sequence analysis required. Strong programming, machine learning, and hidden Markov model experience preferred. Experience working with mammalian genomic sequences preferred. Experience with distributed software development and source version control (Git) preferred. -Proficiency in Linux/Unix, Java, Perl, bash scripting, and DNA sequence analysis. -Proficiency with Microsoft Office Suite and other administrative software. -Ability to follow oral and written instructions. -Ability to work well with others. -Strong oral and written communication skills. -Strong attention to detail. -Strong record-keeping skills. -Strong commitment to customer service.
Additional Info:
The University of Massachusetts Boston is committed to providing a safe and secure environment that is supported by qualified employees for all of its students, faculty and staff to carry out the University's teaching, research and public service missions. As a condition of employment, the University will conduct appropriate background check reviews. For more information, please see the University of Massachusetts Boston campus policy and procedures for employee background reviews: https://www.umb.edu/editor_uploads/images/hr/Background_Check_Policy_october_2015_FINAL_revised_9_16_15.pdf Application Instructions: Please apply online with your resume, cover letter, and list of three professional work references. Professional Non-Union. Full time. Benefited. Grant funded; contingent on renewal. Hiring salary range: $48,000-$53,000. Closing date for applications: March 2, 2017.[Click Here to Access the Original Job Post]
The Research Fellow will participate in the fields of computational and systems biology and cancer genomics within the Department of Biology. The incumbent will assist the laboratory Principal Investigator (PI) in new and on-going research projects in the laboratory; will develop a two-year project that complements the lab's on-going work; and will participate in and assist with the organization of the laboratory's software development efforts. Current projects include protein-DNA binding specificity, delineating the mechanisms of p53 regulation, and finding TF-markers for cancer phenotypes. Future projects include subjects such as protein-RNA binding specificity and epigenetic markers for cancer phenotypes. The incumbent will expand upon our biophysical models for determining protein-DNA and protein-RNA binding specificity and use them to explain gene regulatory phenomena such as changes is binding due to epigenetic marks. Our research encompasses mechanistic modeling of transcriptional and translational gene regulation in the cell, and how those mechanisms go awry in gene regulatory diseases such as cancer. This position provides an excellent opportunity to participate in cutting-edge research in genomics and computational biology. The position offers a stimulating academic environment with opportunities to collaborate in a team setting, gain valuable written/oral communication skills, and co-author publications. Duties include, but are not limited to: -Assist the laboratory Principal Investigator (PI) in new and on-going research projects. -Participate in and assisting with the organization of the laboratory's software development efforts. -Analyze high-throughput microarray and sequencing data in R, Perl, Python, or Java. -Expand upon the biophysical models for determining protein-DNA and protein-RNA binding specificity. -Determine how in vivo epigenetic marks influence protein-DNA binding. -Use biophysical models for finding genetic and epigenetics markers for cancer phenotypes. -Program in Java, R, Perl, and possibly other languages, as well as profile hidden Markov models in Java. -Perform other duties as assigned. Requirements: PhD in Computational Biology, Bioinformatics, Biophysics or a closely related field required. Good quantitative, statistical and programming skills are required. Proficiency in Linux/Unix, Java, Perl, R, bash scripting, and DNA sequence analysis required. Strong programming, machine learning, and hidden Markov model experience preferred. Experience working with mammalian genomic sequences preferred. Experience with distributed software development and source version control (Git) preferred. -Proficiency in Linux/Unix, Java, Perl, bash scripting, and DNA sequence analysis. -Proficiency with Microsoft Office Suite and other administrative software. -Ability to follow oral and written instructions. -Ability to work well with others. -Strong oral and written communication skills. -Strong attention to detail. -Strong record-keeping skills. -Strong commitment to customer service.
Requeriments :
Skills :
- DNA sequencing
- genomic
- Lunix/Unix
- Machine Learning
- Microarray
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- Software Design
Areas :
Additional Info:
The University of Massachusetts Boston is committed to providing a safe and secure environment that is supported by qualified employees for all of its students, faculty and staff to carry out the University's teaching, research and public service missions. As a condition of employment, the University will conduct appropriate background check reviews. For more information, please see the University of Massachusetts Boston campus policy and procedures for employee background reviews: https://www.umb.edu/editor_uploads/images/hr/Background_Check_Policy_october_2015_FINAL_revised_9_16_15.pdf Application Instructions: Please apply online with your resume, cover letter, and list of three professional work references. Professional Non-Union. Full time. Benefited. Grant funded; contingent on renewal. Hiring salary range: $48,000-$53,000. Closing date for applications: March 2, 2017.[Click Here to Access the Original Job Post]