About City of Hope
City of Hope's mission is to deliver the cures of tomorrow to the people who need them today. Founded in 1913, City of Hope has grown into one of the largest cancer research and treatment organizations in the U.S. and one of the leading research centers for diabetes and other life-threatening illnesses. City of Hope research has been the basis for numerous breakthrough cancer medicines, as well as human synthetic insulin and monoclonal antibodies. With an independent, National Cancer Institute-designated comprehensive cancer center at its core, City of Hope brings a uniquely integrated model to patients spanning cancer care, research and development, academics and training, and innovation initiatives. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. City of Hope’s affiliated group of organizations includes Translational Genomics Research Institute and AccessHopeTM. For more information about City of Hope, follow us on Facebook, Twitter, YouTube, Instagram and LinkedIn.
City of Hope’s commitment to Diversity, Equity and Inclusion
We believe diversity, equity and inclusion is key in serving our mission to provide compassionate patient care, drive innovative discovery, and advance vital education focused on eliminating cancer and diabetes in all of our communities. Our commitment to Diversity, Equity and Inclusion ensures we bring the full range of skills, perspectives, cultural backgrounds and experiences to our work -- and that our teams align with the people we serve in order to build trust and understanding. We are dedicated to fostering a community that embraces diversity - in ideas, backgrounds and perspectives; this is reflected in our work and represented in our people.
The collaborative research in Bild and Nath labs focuses on translational cancer systems biology. The overarching goal of our labs is to develop and validate effective treatment strategies against drug resistant tumors. We are seeking a talented and motivated Bioinformatics Staff Scientist to join our dynamic team. As a Bioinformatics Staff Scientist, you will play a key role in analyzing and interpreting complex biological data, integrating multi-omics datasets, and developing innovative computational methods to extract meaningful insights. Your work will contribute to advancing our understanding of diseases, identifying potential therapeutic targets, and facilitating the development of personalized medicine approaches.
· Perform bioinformatics analysis on high-throughput genomic and transcriptomic data.
· Develop and apply computational algorithms and statistical models for data analysis and interpretation.
· Integrate and analyze multi-omics datasets to identify patterns, correlations, and potential biomarkers.
· Collaborate with cross-functional teams including biologists, mathematicians, and medical oncologists to design and execute bioinformatics projects.
· Stay up to date with the latest advancements in bioinformatics and genomics research.
· Contribute to the development of data analysis pipelines and software tools.
· Present findings and results to internal teams and external stakeholders in a clear and concise manner.
· Publish research outcomes in scientific journals and present at conferences.
Basic education, experience and skills required for consideration:
· Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field.
· Strong expertise in analyzing next-generation sequencing (NGS) data.
· Proficiency in programming languages such as Python, R, and/or Perl.
· Experience with bioinformatics tools and databases (e.g., NCBI GEO, Ensembl, UCSC Genome Browser).
· Knowledge of statistical methods and data mining techniques for large-scale genomics data analysis.
· Familiarity with machine learning (AI/ML) algorithms and their applications in bioinformatics.
· Excellent problem-solving skills and the ability to work independently and in a team-oriented environment.
· Strong communication skills with the ability to present complex data and concepts effectively.
· Experience with single-cell RNA sequencing (scRNA-seq) data analysis.
· Knowledge of cancer genomics and oncology research.
· Familiarity with cloud computing platforms and big data analysis frameworks.
· Demonstrated track record of publications in reputable scientific journals.
· Interested candidates are invited to submit their CV including a link to the candidates GitHub, a cover letter, and a brief statement of research interests and accomplishments.
· For more information about Dr. Andrea Bild’s lab, please visit here.
· The estimated pay scale represents the typical [salary/hourly] range City of Hope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale is subject to change from time to time.
· As a condition of employment, City of Hope requires staff to comply with all state and federal vaccination mandates.
City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.