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The BioMicro Center is Hiring!
BioMicro Center: Informatics
Koch Institute (KI) for Integrative Cancer Research-Bioinformatics and Computing Core (BCC) Facility, to join a facility that provides bioinformatics and computational support to KI scientists who work in more than fifty labs across four departments and centers. Will support and collaborate with KI-BCC on the bioinformatics components of a broad range of biological research projects through analysis and interpretation of experimental data and participate in ensuring that KI researchers have efficient access to advanced genomics applications. This will involve the deployment and customization of existing software and the development of new tools.
REQUIREMENTS: an advanced degree (Ph.D. preferred) in biology, computer science, or related discipline; extensive genomics research experience; experience with the mining and analysis of datasets derived from both array and next generation sequencing platforms; expertise in some combination of analytical fields such as gene expression analysis, copy number analysis, transcription factor analysis, proteomics, and sequence analysis; expertise mining public data repositories; demonstrable programming expertise, e.g., Perl/Python, BioPerl, Java, R, and MySQL; and expertise in UNIX-based computational environments. Experience with the generation of publication-quality graphics a plus. Must possess excellent interpersonal and written and oral communication skills and experience working in a collaborative environment, ideally with faculty, administrators, and students within a university setting. Should be able to work both independently and with other members of the KI-BCC team. MIT-00009675
Project Title: Analysis of the transcriptome using Next-Generation Sequencing.
Project Description: Next generation sequencing has revolutionized molecular biology, allowing labs to sequence 100’s of millions of DNA fragments at a time, producing billions of basepairs of sequence every day. RNA sequencing protocols have adapted this technology to quantifying gene expression. The enormous quantity of data produced has made the informatics associated with these projects challenging and data processing is a limiting step in many studies. You will be working with other bioinformaticicsts to evaluate different RNA-seq algorithms and will be involved in creating automated processes to perform both basic and more advanced analyses of the data.
Prerequisites: Experience with programming and introductory biology required. Interest in working multiple semesters in the lab is preferred.
Contact: Please send a cover letter describing your research interests and a resume to Stuart Levine
BioMicro Center: Genomics
No full time or part time Technical Assistant positions are available at this time
The BioMicro Center at MIT is a cutting edge genomics core facility which specializes in DNA sequencing and offers a wide range of services to researchers both inside and outside of MIT. The facility hosts and operates a large amount of advanced instrumentation as well as maintains significant integrated LIMS infrastructure to assist with data management and analysis. While maintaining a steady workflow, the BioMicro Center also performs experimental work aimed at optimizing and automating existing services offered at the facility. While co-ops are primarily responsible for quantification and sample prep, their tasks may extend further depending on the capabilities of the student.
Responsibilities and Duties:
- Quantification of RNA and DNA samples
- Creating Illumina-ready libraries for sequencing using a number of techniques
- Optimizing protocols whenever necessary
- Maintaining a detailed lab notebook
- Inputting samples into central database
- Interacting with users and researchers from inside and outside of the MIT community
Job Skills Required:
- Proficiency in basic lab skills (e.g. pipetting, proper sterile technique, dilutions)
- Prior lab experience in a molecular biology setting
- Maintenance of organized lab notes for a large number of projects
- Solid mathematical background.
- Moderate computer skills (e.g. Microsoft Office, Google Calendar)
- Acuity in maintaining sufficient lab supplies
- Proficient interpersonal skills
- Ability to work effectively in a group environment and independently
- Ability to learn scientific principles and concepts efficiently
- Motivational attitude, flexibility, and versatility when working in a rapidly growing environment.