Principle Bioinformatician

Bioinformatics professionals who have demonstrated experience utilizing the fields latest Next Generation Sequencing technologies, specifically RNA-seq, are encouraged to explore a unique opportunity within the Translational Research Department of a Global Biopharmaceutical Client here in the San Francisco Bay Area. REQUIRED QUALIFICATIONS
- Graduate-level degree (Ph.D. preferred) in a life science discipline (bioinformatics, biology, biochemistry, medicinal chemistry, bioengineering, etc.). Candidates with a degree in another natural science, computer science, information technology or a related discipline will also be considered but must have a track record of research experience in computational life science - Two years post-graduate work experience conducting computational biology research (academic, government, or industry) - Proven record of working with Next-Gen Sequence (NGS) analysis including RNA-seq, ChIP-seq, whole genome assembly.
- Extensive experience with large genomic data sets, as exemplified by the following areas: microarray analysis, high-throughput sequence analysis, automated annotation, gene prediction, population genomics, quantitative genetics, comparative genomics - Experience working in a command line environment including compiling and configuring bioinformatics software
- Experience with extracting, manipulating, and integrating data from public biological data repositories (e.g. NCBI, Ensembl, UCSC).
- Proficient programming skills with at least one scripting language (Perl, R, Python, Ruby, etc)
- Strong interest in science and technology and ability to rapidly adopt and adapt to leading edge technologies
- Excellent oral presentation and communications skills
- Advanced ability to work independently under established deadlines and as part of a team

PREFERRED QUALIFICATIONS
- Demonstrated success in publishing computational science results and in presenting data to senior management
- Experience managing projects involving advanced computing and information technologies used in life science research in academia, government laboratories, and/or industry
- Proven ability to promote and support the use of computing, visualization, networking, and massive data storage systems to scientists to expand their research impact

To find out more about Real Staffing please visit www.realstaffing.com