Lawrence Berkeley National Lab’s (LBNL) Joint Genome Institute (JGI) Division has an opening for a Genomics Data Scientist.
This is an exciting opportunity for applying your data science expertise in genomics to solve the most challenging energy and environmental problems. As part of the Genome Analysis group, you will develop computational tools to perform next-generation sequence data analysis for research and development projects surrounding genome, transcriptome, and metagenome. Your duties will include formulating complex data science problems, designing and implementing data science approaches, and analyzing high-throughput genomics datasets. You will be involved in the development and implementation of new analysis pipelines or improving existing ones. You will play a significant role in defining the biological significance of the data, will work with various JGI groups on data analysis projects, and facilitate the transfer of knowledge of technologies and applications to JGI staff. You may also provide custom analysis support to external collaborators.
What You Will Do:
Develop new genomic analytic tools or improve existing ones to support R&D projects.
Troubleshoot complex system and data analysis problems and provide analysis support for adopting new genome technologies.
Provide high quality software documentation to enable reproducible analysis.
Additional Responsibilities as needed:
May coordinate activities of junior staff members and graduate students in data science.
Publish or assist in publishing significant research outcomes in scientific journals.
Foster a collaborative environment by participating in discussion groups across different disciplines within Berkeley Lab.
What is Required:
A minimum of 8 years of related experience with a Bachelor’s degree in Computer Science, Biostatistics, Computational Biology, Bioinformatics, or related disciplines; or 6 years and a Master’s degree; or equivalent experience.
Experience using professional concepts and company objectives to resolve complex issues in creative and effective ways.
Demonstrated experience processing large volumes of genomic data.
What is Desired:
Expertise with next-generation sequence analysis such as short read alignment and genome assembly.
Proficiency with scripting languages including Python, R, or Bash.
Knowledge about SQL, MySQL, Oracle, or other RDBMs.
Proficient with one of the following high-performance computing environments: grid computing or cloud computing.
Demonstrated analytical skills sufficient to troubleshoot system and data analysis problems and make recommendations.
Strong organizational and record-keeping skills.
Effective oral and written communication and interpersonal skills.
Ability to work independently and as a team member in a diverse team environment.
Ability to handle multiple tasks in parallel while working on a large number of projects.
Please use this link to apply: lbl.referrals.selectminds.com/jobs/genomics-data-scientist-4025