Layer, Chiang, et al. Genome Biology
Bioinformatics Analyst positions at the Bioinformatics Research Laboratory at Baylor College of Medicine
BCM offers excellent compensation and benefits, including health, dental and vision insurance, paid vacation, retirement savings plan, and tuition reimbursement assistance.
The Bioinformatics Research Laboratory (BRL)
has several openings for highly motivated bioinformatics analysts. BRL participates in several national and international genomic and epigenomic projects, and numerous collaborations within the Texas Medical Center in Houston. One key consortium project, carried out in collaboration with our home department of Molecular and Human Genetics at Baylor College of Medicine is the development of an annotated database of human genomic variation. The BRL is also serving as the Data Coordination Center for the recently announced NIH Extracellular RNA Communication Program http://commonfund.nih.gov/exrna/.
Through their programming knowledge, analysts will assist in data processing, data warehousing, data analysis, and data curation to support the import of newly generated biological data, as well as of public data archives, into our existing web-based platform. Additionally, analysts will create automated pipelines for these purposes, and will create data processing programs and tools for general use. Candidates must have experience in programming, preferably in scripting languages, and must be familiar with existing bioinformatics tools and data archives. Analysts will have the opportunity to interface directly with BRL collaborators by applying analytical methodologies to their data, and through ongoing training on tools made available through the BRL web-based platform. A goal for the analyses and software and methods created will be publication in high impact journals.
The successful candidate will be expected to participate in the integration of high-volume data sets, to design and implement data processing pipelines, and work with lab staff to integrate new tools into the Genboree platform. Typical data processing pipelines will be implemented using a programming language such as Ruby and the REST-ful Genboree Application Programming Interface.
Candidates at various levels of formal training, including BS, MS, and PhD levels will be considered. Programming experience in a UNIX/Linux environment using programming languages such as Perl, Python, or Ruby, and relational databases such as MySQL or PostgreSQL are required. Experience developing programs or components in a team software environment, is strongly preferred. Contribution of analyses and/or software components to a published research effort are a plus, as is experience in the use of batch execution environments such as PBS, LSF, and GridEngine. Candidates should have experience in large-volume/high-throughput genomic analysis and be familiar with widely used genomic databases and software. Experience analyzing data using the R statistical computing language will be viewed favorably. In addition, candidates must have excellent English-language communication and interpersonal skills, and be capable of working within a team of biologists and programmers.
A CV and the names and contact information of three references are required. Candidates should apply by email to: Ms. Elke Norwig-Eastaugh, One Baylor Plaza BCM 225, Houston, TX 77030 at: firstname.lastname@example.org
Baylor College of Medicine is an equal opportunity employer.