Computational Biologist - Postdoctoral Researcher

Lawrence Livermore National Laboratory
Livermore, CA 94550

We have an opening for a Postdoctoral Researcher to conduct research in the area of quantitative and computational biology. You will explore opportunities to further scientific understanding of the genetic and environmental determinants of quantitative traits contributing to fitness, cognitive performance, metabolic output, disease susceptibility, and resistance to cytological stressors. You will develop new methods, tools, and workflows for analysis of molecular and phenotypic data to identify biomarkers that are correlated with health and disease phenotypes. You will also exploit real-world data sets to obtain insight into biological phenomena of interest. This position is in the Genomics group in the Biosciences and Biotechnology Division.

In this role you will:

  • Apply statistical techniques and develop predictive models to understand a range of human phenotypes and disease states.
  • Design computational analyses of diverse phenotypic, molecular, genomic, and metabolic datasets, including those generated by biosensors, bioimaging, whole genome DNA sequencing or mass spectrometry.
  • Research, design, and implement models that integrate published biomedical information with novel data collection to identify significant trends and predict disease outcomes.
  • Perform quality analysis, quality control, and other independent tests of third-party algorithms, analysis methods, and data collection procedures.
  • Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Publish research results in peer-reviewed scientific or technical journals.
  • Organize, analyze, and present data from research at seminars, technical meetings, and conferences.
  • Perform other duties as assigned.

  • Ph.D. in Computational Biology, Applied Mathematics, Biophysics, Bioinformatics, or a related field.
  • Experience in quantitative and computational biology
  • Ability to develop and apply novel analytic techniques and modeling approaches to the study of living systems.
  • Advanced experience with statistical analysis and data visualization.
  • Ability to complete independent research projects as demonstrated through publication of peer-reviewed literature.
  • Proficient verbal and written communication skills, as well as a demonstrated ability to present technical information and effectively collaborate in a multidisciplinary team environment.

Qualifications we desire:

  • Familiarity with high performance computing environments, to include experience with workload managers such as Slurm, PBS/Torque, or Kubernetes.
  • Experience with containerization toolkits, such as Docker or Singularity.
  • Experience with quantitative health analytics and systems biology and multi-omics data analysis.

Why Lawrence Livermore National Laboratory?

  • Included in 2020 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Career site.

Security Clearance

LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory. Most positions will require a DOE L or Q clearance (please reference Security Clearance requirement). If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. An L or Q clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted. For additional information please see DOE Order 472.2.

Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form.

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

"}}},"active":true,"industry":{"id":"research","label":"Research

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory's mission.

"},"jobDescription":{"title":"Job Description","text":"

We have an opening for a Postdoctoral Researcher to conduct research in the area of quantitative and computational biology. You will explore opportunities to further scientific understanding of the genetic and environmental determinants of quantitative traits contributing to fitness, cognitive performance, metabolic output, disease susceptibility, and resistance to cytological stressors. You will develop new methods, tools, and workflows for analysis of molecular and phenotypic data to identify biomarkers that are correlated with health and disease phenotypes. You will also exploit real-world data sets to obtain insight into biological phenomena of interest. This position is in the Genomics group in the Biosciences and Biotechnology Division.

In this role you will:

  • Apply statistical techniques and develop predictive models to understand a range of human phenotypes and disease states.
  • Design computational analyses of diverse phenotypic, molecular, genomic, and metabolic datasets, including those generated by biosensors, bioimaging, whole genome DNA sequencing or mass spectrometry.
  • Research, design, and implement models that integrate published biomedical information with novel data collection to identify significant trends and predict disease outcomes.
  • Perform quality analysis, quality control, and other independent tests of third-party algorithms, analysis methods, and data collection procedures.
  • Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
  • Publish research results in peer-reviewed scientific or technical journals.
  • Organize, analyze, and present data from research at seminars, technical meetings, and conferences.
  • Perform other duties as assigned.
"},"qualifications":{"title":"Qualifications","text":"
  • Ph.D. in Computational Biology, Applied Mathematics, Biophysics, Bioinformatics, or a related field.
  • Experience in quantitative and computational biology
  • Ability to develop and apply novel analytic techniques and modeling approaches to the study of living systems.
  • Advanced experience with statistical analysis and data visualization.
  • Ability to complete independent research projects as demonstrated through publication of peer-reviewed literature.
  • Proficient verbal and written communication skills, as well as a demonstrated ability to present technical information and effectively collaborate in a multidisciplinary team environment.

Qualifications we desire:

  • Familiarity with high performance computing environments, to include experience with workload managers such as Slurm, PBS/Torque, or Kubernetes.
  • Experience with containerization toolkits, such as Docker or Singularity.
  • Experience with quantitative health analytics and systems biology and multi-omics data analysis.

Categories

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Computational Biologist - Postdoctoral Researcher

Lawrence Livermore National Laboratory
Livermore, CA 94550

Join us to start saving your Favorite Jobs!

Sign In Create Account