Cedars-Sinai Research Bioinformatician II - McGovern Lab - Inflammatory Bowel and Immunobiology Research Institute in Los Angeles, California
Everyone’s unique health journey is informed by data. Join us as we translate today's discoveries into tomorrow's medicine!
The McGovern Laboratory studies the effects of genetic variation in the inflammatory bowel diseases (IBD). Also called the Translational Genomics Group (TGG), the McGovern Lab is focused on identifying genetic variants associated with both Crohn's disease and ulcerative colitis and then investigating their functional effects and also their role in determining disease behavior and natural history, including response to therapy. The McGovern Lab also investigates the role of the microbiome in IBD and particularly the relationship between genetic variation in the host (human) and microbiome-related changes. Work in the McGovern Laboratory includes significant statistical and computational biology components, and the lab is developing novel methods for integrating multi-omic datasets together with clinical metadata. Biostatistics has become an increasing part of our group's research as we generate large data across many different platforms. Our group is interested in developing new analytic methods for integrating and analyzing these data.
To learn more about our lab and institute, please visit McGovern Research Lab | Cedars-Sinai.
Are you ready to be a part of breakthrough research?
The Research Bioinformatician II (RB II) performs general bioinformatics analysis and software support for projects involving omics, and interact with investigators to identify research problems, find appropriate software tools, and recognize national biological databases and online resources for omic data. The RB II will manage omic data including loading and querying data from the 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 bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. Our Research Bioinformatician II will also work with bioinformatics faculties to determine future bioinformatics needs, and helps to develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. The RB II will demonstrate continuous self-improvement, make effective contributions to the section, adhere to the CSHS compliance plan, code of conduct, and hospital and departmental policies and procedures, and may serve as a preceptor for students.
Primary Job Duties and Responsibilities:
Provides general bioinformatics analysis support for omic projects and is mainly responsible for data analysis and software compilations including next-generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers.
Summarizes data analysis results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data.
Develop, test, and maintain 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
Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases, Ready to provide solutions for investigator’s problems through data mining and extraction
Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literature in bioinformatics and computational biology
Assists or collaborate in the preparation of grant proposals, publications, and presentations involving omic data
Helps develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology.
Educate others about bioinformatics through mentoring and teaching colleagues, investigators, fellows, and graduate students.
Ongoing implementation and development of bioinformatics tools and pipelines oriented towards the manipulation and dissemination of NGS and -omics data. Development is generally geared towards high-end Linux servers.
Build, implement, develop, test, integrate, and document bioinformatics tools and pipelines.
Employ the software/pipeline development life cycle and best practices including version control, bug tracking, issue reporting, and code reviews.
Consult and provide feedback to management.
- Master of Science/Engineering in Computer Science, Bioinformatics, Statistics, or relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics) required.
Experience and Skills:
Three (3) years in a research environment. Background and work knowledge in bioinformatic algorithms, scientific computing, and machine learning or statistics.
Familiar with C/C++, Java, Perl, Python, and the Unix (Linux) environment.
Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions.
Prior experience with pipeline development tools such as snakemake or netflow.
Ability to apply knowledge of information software and/or hardware to provide solutions and/or support.
Ability to apply advanced knowledge of science/learning/specialized intellectual instruction to analyze, interpret or make deductions from varying facts or circumstances.
Working Title: Research Bioinformatician II - McGovern Lab - Inflammatory Bowel and Immunobiology Research Institute
Department: Home Dept - Gastroenterology
Business Entity: Academic / Research
Job Category: Academic/Research
Job Specialty: Bioinformatics
Position Type: Full-time
Shift Length: 8 hour shift
Shift Type: Day
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.