Computational Biologist-Genomics

Los Angeles, CA
Full Time
Mid Level

The Lawrence J. Ellison Institute for Transformative Medicine strives to leverage technology, spark innovation, and drive interdisciplinary evidence-based research to reimagine and redefine cancer treatment, enhance health, and transform lives.  Under the visionary leadership of David B. Agus, MD, the Ellison Institute was designed to tackle the difficult questions in health care and research to push the boundaries of medicine forward. To accomplish this, the Institute offers multifaceted programs, including a cancer center, cross-disciplinary research laboratories, a health policy think-tank, and community outreach and educational opportunities. Please visit https://www.eitm.org/ to learn more about the Ellison Institute and our brand new, state-of-the-art facility in West Los Angeles.

 

Job Summary 

We are seeking an enthusiastic Computational Biologist with an interest in cancer biology to complement our Bioinformatics and Computational Biology team. In this role, you will develop and implement robust and effective data management and analytical solutions to answer biological questions centering around genomic analyses as part of a multi-disciplinary team of clinicians, experimentalists, computer scientists, engineers, statisticians, and biologists. These cancer-related data sets may include next-gen-sequencing data, high-dimensional multi-omics data, and complex clinical data from electronic medical records. You will collaboratively formulate and execute plans for data analysis, management, and visualization to produce rigorous, reproducible insights while ensuring the quality and integrity of the data throughout its lifecycle.

 

Job Accountabilities

  • Develop and implement robust and effective analytical solutions to answer biological questions. Collaboratively formulate and execute plans for genomic data processing, analysis, management, and visualization with principal investigators and scientists. 
  • Support lab researchers in their collection, processing and analysis of sequencing and other biomedical data to ensure that it is properly stored both for investigation and for longer-term preservation; identify appropriate storage resources and ensure that appropriate metadata are included.
  • Work with other analysts and institute researchers in the collective analysis of data.
  • Develop, test, debug and run sequencing analysis pipelines from start to finish, incorporating all relevant experimental and technical considerations.
  • Be the subject matter expert in design, implementation, and analysis of genomics experiments.
  • Remain informed of developments in the field. Read journals and other relevant publications, attend professional association meetings and seminars as appropriate. 

 

Qualifications

Demonstrable Personal Attributes:

  • Ability to thrive in a service-oriented, highly collaborative, multi-disciplinary environment.
  • Strong ability to communicate effectively to experts and non-experts, both computational and biological scientists. 
  • Strong organizational and project management skills and attention to detail.
  • A creative, experimental, and open mindset, eager to learn new things. 
  • Interest in technological advances and solutions.

Knowledge and Skills:

  • Degree in Bioinformatics, Computational Biology, Biology or related fields. 
  • Experience with the Bioconductor R package suite, and expertise in RNA and DNA sequencing workflows and analytical pipeline development and implementation. 
  • Confidence with using common genomic analysis tools for quality control and preprocessing, alignment, normalization, batch correction, quantitative analysis, and differential expression.
  • Ability to input, output, analyze, and manipulate data using R and or Python. Sample code required.
  • Experience with Linux shell scripting, command line tools, version control (Git preferred), and simple system administration tasks. Familiarity with data management and analysis practices in biomedical research. Knowledge of bioinformatic workflow composition and execution solutions (e.g., Nextflow, Cromwell/WDL, CWL) preferred.
  • Proficient with Microsoft Excel, Word, and PowerPoint. 

 

Education and Experience:

 

Salary: $104,066-$115,000

  

The Ellison Institute, LLC is an equal opportunity employer. We believe that an inclusive, collaborative team environment is just as important to our mission as stethoscopes and microscopes. We strive to always provide employees a supportive atmosphere, so they feel confident taking creative risks toward innovation. The Ellison Institute values emotional intelligence and communication with empathy and respect for others. We seek to build a diverse group of people who are curious, have a deep sense of responsibility, and the grit needed to achieve excellence. 

 

 

 

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