Job ID: 44435BR
Job date: 2017-12-16
End Date:
Company : Harvard University Country : Role : Research Scientist
Job date: 2017-12-16
End Date:
Company : Harvard University Country : Role : Research Scientist
Job Description:
The Harvard FAS Informatics Group, in collaboration with the Dulac Lab in the Department of Molecular and Cellular Biology at Harvard, seeks a Bioinformatics Scientist for genomics analysis, with a focus on single-cell RNA-Seq analysis. This position will be 100% dedicated to ongoing, NIH-funded projects in the Dulac lab to catalog and understand the diversity and function of cell types in the mouse brain using single-cell RNA-seq and other cutting-edge techniques. Although based within the Informatics group at Harvard, the successful candidate will work closely with Dulac lab graduate students, postdocs, and collaborators to pioneer novel bioinformatics approaches to the analysis of RNA-seq data at scale and to use this information to uncover neural circuits underlying survival functions. The Informatics group lies at the intersection of scientific research and large-scale computational analysis and works with a number of research groups across campus on a range of methods. We are a collaborative and co-operative group of computational biologists and bioinformatics scientists who develop and apply cutting-edge approaches to a range of biological questions. The successful candidate will be someone with a strong background in bioinformatics and statistics, but no background in neuroscience is required or expected. Candidates who are curious and willing to learn will have numerous opportunities to do so. This position represents an exciting opportunity to be a key member of an interdisciplinary team that will revolutionize our understanding of the way brains function. Basic Qualifications:
Additional Info:
This is a five-year term position contingent upon continued grant funding and satisfactory performance. We are committed to diversity and especially encourage members of underrepresented communities to apply. When applying for this position, please submit your CV and cover letter in our preferred format as one combined document with CV followed by a cover letter. We regret that Harvard University does not provide visa sponsorship for this position. EEO Statement: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation or any other characteristic protected by law.[Click Here to Access the Original Job Post]
The Harvard FAS Informatics Group, in collaboration with the Dulac Lab in the Department of Molecular and Cellular Biology at Harvard, seeks a Bioinformatics Scientist for genomics analysis, with a focus on single-cell RNA-Seq analysis. This position will be 100% dedicated to ongoing, NIH-funded projects in the Dulac lab to catalog and understand the diversity and function of cell types in the mouse brain using single-cell RNA-seq and other cutting-edge techniques. Although based within the Informatics group at Harvard, the successful candidate will work closely with Dulac lab graduate students, postdocs, and collaborators to pioneer novel bioinformatics approaches to the analysis of RNA-seq data at scale and to use this information to uncover neural circuits underlying survival functions. The Informatics group lies at the intersection of scientific research and large-scale computational analysis and works with a number of research groups across campus on a range of methods. We are a collaborative and co-operative group of computational biologists and bioinformatics scientists who develop and apply cutting-edge approaches to a range of biological questions. The successful candidate will be someone with a strong background in bioinformatics and statistics, but no background in neuroscience is required or expected. Candidates who are curious and willing to learn will have numerous opportunities to do so. This position represents an exciting opportunity to be a key member of an interdisciplinary team that will revolutionize our understanding of the way brains function. Basic Qualifications:
- A masters degree or higher in bioinformatics/computer science/statistics, or a related scientific field, with at least 5 years bioinformatics experience;
- Expertise with programming languages commonly used in bioinformatics such as Python or R, and experience with Linux shell scripting.
- Ph.D. in a relevant field strongly preferred;
- Expertise in the analysis of RNA-seq data, including familiarity with statistical and computational challenges associated with single-cell RNA-seq experiments;
- Experience with developing novel statistical methods and/or scientific computing algorithms to quantify and analyze RNA-seq or related high-throughput sequencing data
- Experience with large, computationally intensive problems, including using high-performance computing clusters and job scheduling software;
- Experience with combining a number of algorithms/methods in pipelines with source control management and testing;
- This position involves daily interaction with researchers and faculty. It is essential to be able to explain and discuss complex topics clearly and be able to interact well with others.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Bioinformatics
- Lunix/Unix
- Programing in Python
- Programing Skills
- Programming in R
- RNA-seq
- Shell scripting
- Statistics
Areas :
Additional Info:
This is a five-year term position contingent upon continued grant funding and satisfactory performance. We are committed to diversity and especially encourage members of underrepresented communities to apply. When applying for this position, please submit your CV and cover letter in our preferred format as one combined document with CV followed by a cover letter. We regret that Harvard University does not provide visa sponsorship for this position. EEO Statement: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation or any other characteristic protected by law.[Click Here to Access the Original Job Post]