Cedars-Sinai Research Bioinformatician III - Precision Biomarker Labs in Los Angeles, California
Join us in releasing the power of precise proteomics!
Cedars-Sinai Medical Center is seeking a Senior Bioinformatician to assist in high-throughput Data Analysis, Pipeline Platform operations, and Bioinformatics Innovation across Precision Biomarker Laboratories (PBL), Dr. Van Eyk’s ACBRI lab, and the Cedars-Sinai Medical Center Proteomics and Metabolomics Core (Core). To learn more, please visit Precision Biomarker Laboratories | Cedars-Sinai.
Are you a passionate and dedicated research professional?
The Research Bioinformatician III (RB-III) must have a solid understanding of current bioinformatics methodologies used in the omics space with experience in data analysis, software development, and pipeline platform administration. This role will create and manage a variety of sophisticated biomedical research projects, starting from raw data to biological hypothesis generation. The RB-III is a highly motivated individual, with a proven record of scientific productivity, excellence in communication, collaboration, and enthusiasm, seeking to join a growing, dynamic group, to build an organization centered on cutting-edge technology, and to develop tools based on complex high-dimensional research and clinical data sets. Our challenge is to develop and maintain a range of complex data analysis tools and algorithms while providing vital support to the proteomics research & assay development teams under the supervision of the Bioinformatics Team Lead.
Primary Job Duties & Responsibilities:
Analyze high-throughput omics data using open-source software packages and in-house pipelines.
Develop and deploy software tools and complex pipelines to solve a specific research problem.
Responsible for testing, maintenance, and documentation of in-house platforms and data systems.
Design and implement complex algorithms for omics data analysis and visualization.
Development of analysis-to-database interfaces to automate and optimize data aggregation.
Support bioinformatics & systems administration-related activities for research & assay development teams via the use of external/internal tools as well as direct analysis and interpretation.
Improve usability, extensibility, and scalability of existing programs including development of custom software interfaces & automation/optimization/parallelization of tasks.
Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literature in bioinformatics and computational biology.
Improve data visualization to explain findings across large cross-functional teams & stakeholders.
Participate in vendor management meetings to ensure appropriate vendor support.
Training & support for the scientists and technicians, maintaining the in-house tools and databases and supporting the bioinformatics team with their ongoing efforts.
- Master’s Degree in Bioinformatics, Computer Science, or related field, required. Doctorate Degree, preferred.
Experience and Skillset:
6-8 years of proven experience developing software applications, assisting with building complex computational pipelines, high-throughput data analysis, and bioinformatics support.
Strong Knowledge of Python, R, MySQL, Linux, and software administration is a must.
Experience with agile development and version control software required (e.g. JIRA, GitHub, etc.)
Experience with AWS and High Performance (HPC) systems will be a plus.
Direct Experience in rapid prototyping, software development, and database systems.
Demonstrated ability to come up with creative solutions to difficult problems.
Team-player, interested in working in a fast-paced and highly collaborative environment with biologists, research scientists, and clinicians.
Strong analytical and problem-solving skills, self-motivated, organized, and independent.
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.