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Cedars-Sinai Research Bioinformatician I - Goodridge Lab in Los Angeles, California

When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it’s just one of the many reasons we rank as one of the top hospitals in the nation by U.S. News & World Report. From working with a team of committed healthcare professionals to using state-of-the-art facilities, you’ll have everything necessary do something incredible—for yourself and for others!

The Goodridge Laboratory at Cedars-Sinai Medical Center, Regenerative Medicine Institute is looking for a Research Bioinformatician I to join our dynamic group. The ideal candidate should have experience in managing and analysis of large datasets using programming languages such as C/C++, Java, Perl, python, R, or the Unix(Linux) environment. The candidate should have an interest in pathways and mechanisms of immune cell production and function. To learn more, please visit: Goodridge Research Lab | Cedars-Sinai (cedars-sinai.org)

Under close supervision by the PI, project scientists, and postdoctoral scientists, as well as bioinformaticians in collaborating groups, the Research Bioinformatician I performs general bioinformatics analysis and software support for projects involving omics. The RBI will manage omic data including loading and querying data from database system and public repositories, and transform and merge multilevel omic data into user-friendly formats, assist in development, test, and maintenance of modular software pipelines, provide daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.

Primary Duties & Responsibilities:

  • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers.

  • Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data.

  • Assists in development, testing, and maintenance of modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences

  • Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats

  • Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology

Department Specific Duties and Responsibilities:

  • Helps develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology

  • Continues to learn and adapt to new analysis pipelines and software to improve research output

  • Educates others about bioinformatics through mentoring of and teaching colleagues, investigators, fellows, and graduate students

  • Works with laboratory staff to develop and implement analysis frameworks

  • Keeps accurate and detailed project records of experiments and results

  • Maintains lab equipment and related records

  • Maintains computer database with relevant information

  • Implements scripts for the analysis of complex imaging and multi-omic analysis datasets

  • Scheduling flexibility including evening, weekend and holiday commitment is required

  • Travel may be required

Educational Requirements:

  • Bachelor's Degree in Computer Science, Electrical Engineering, Computational Biology, Bioinformatics or relevant fields required (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics). Master of Science degree, preferred.

Experience and Skillset:

  • 0 - 3 years in a research environment

  • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics

  • Knowledge of C/C++, Java, Perl, python, and the Unix (Linux) environment

  • Experience in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, is a plus

Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.