Bioinformatics Jobs

Overview POSITION SUMMARY... Under the direction of a member of the faculty, the Bioinformatician is responsible for the design, development, evaluation and iterative modification of a technical infrastructure to expedite the quantitative evaluation of data resulting from studies that are laboratory based. The position will entail the establishment and maintenance of applicable in-house bioinformatics resources and interaction with individual lab members on customized research projects, as well independent projects that are the solely computational. This is an open-rank posting (there are 4 levels of Bioinformatician) - candidates will be hired into the level commensurate with their experience. Responsibilities ESSENTIAL FUNCTIONS: Bioinformatician I: • Establish general bioinformatics resources for day-to-day use by members of the laboratory • In collaboration with a faculty member, generate customized programming solutions to improve user interaction with available bioinformatics resources • Assist in the implementation of programs for microarray analysis, high-throughput sequencing data analysis, cis regulatory motif identification, and multi-genome protein motif searches • Local establishment and customization of model organism genomic databases and tools for batch sequence analysis utilizing these resources • Interpret and present study results in support of laboratory members • Provide tabular and written summaries of approaches and analyses in a form suitable for inclusion in manuscripts or grant applications, as well as media for presentation at scientific meetings • Develop and implement custom bioinformatics programming solutions in collaboration with lab as necessary • Coordinate and collaborate with other research computing expertise at the Medical School as necessary • Participate in conference calls and data management meetings as needed • Perform other duties as required. Bioinformatician II: Duties noted above plus: • Implement and adapt programs for microarray analysis, high-throughput sequencing data analysis, cis regulatory motif identification, and multi-genome protein motif searches. • Independently develop, implement and maintain custom designed computational solutions relevant for ongoing lab-based projects. • Independently develop, implement and maintain computational methods for meta-analysis of data generated in the lab as well as publicly available data. • Independently execute a scientific computational project (e.g. a project that can result in a first author publication) Bioinformatician III: Duties noted above plus: • Design and implement reusable bioinformatics analysis pipelines for processing next-generation sequencing, microarray, genomics, proteomics and chemogenomics data. • Integrate computational methods/pipelines with high performance computing clusters. • Collaborate closely with PIs and their lab members on research projects including defining the scope of the collaboration, researching on the scientific topics, and implementing the appropriate bioinformatics solutions that meet timelines. • Participate in the oral presentation of all project findings and abstracts including participation in periodic project status meetings and presentation of final project deliverables. • Develop rapid prototypes and custom scripts for one-off type of analysis requests. • Develop novel algorithms and integrated data visualization applications when existing software packages are not available or adequate. • Properly document the procedures used in computational analysis and provide summary report of results suitable for inclusion in manuscript and grant applications. • Local establishment and customization of genomic, proteomics databases and provide batch analysis utilities that make use of these resources. • Develop custom databases and web portals for managing raw and processed experimental data. • Provide bioinformatics training and workshops for analysis pipelines and in-house developed software applications. • Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams. Sr Bioinformatician: Duties noted above plus: • Lead the design and implementation of reusable bioinformatics analysis pipelines for processing next-generation sequencing, microarray, genomics, proteomics and chemogenomics data. Ensure pipelines meet end-user needs and project timelines • Independently initiate and manage research collaborations. Work closely with PIs and their lab members on research projects including defining the scope of the collaboration, researching on the scientific topics, and implementing the appropriate bioinformatics solutions • Closely follow the latest development in high-through technologies, pioneer in bioinformatics analysis on novel datasets and facilitate sharing of knowledge and best practices • Independently develop novel algorithms and bioinformatics applications when existing software packages are not available or adequate • Prepare scientific manuscripts and abstracts including primary authorship of bioinformatics research papers • Organize bioinformatics training and workshops for analysis pipelines and in-house developed software applications • Liaison with Information System department to ensure high performance computing needs for research are properly addressed • Mentor rotation and summer internship students and junior members in the group Qualifications REQUIRED QUALIFICATIONS: Bioinformatician I: • BS in computer science or a related discipline • 0-1 year of related experience • Strong background in statistical methodology, software languages and computer systems (Perl, C++, R, MySQL, etc.) • Experience in writing basic search algorithms and the ability to generate new algorithms and programs for custom data manipulation and analysis • Excellent communication skills, both oral and written, and interpersonal skills necessary to interact with a wide range of individuals Bioinformatician II: • Requirements noted for Bioinformatician I plus: • 1-3 years of related experience • Co-authorships on peer-reviewed publications are strongly suggested but not required Bioinformatician III: • Requirements noted for Bioinformatician I plus: • Master's degree in Computer Science, a related computational discipline, or equivalent experience • 1-3 years of bioinformatics-related research experience • Proven research record such as co-authorship on peer-reviewed publications required • Strong background in programming. Fluent in one programming language (Java or C/C++) and one scripting language (shell, Perl or Python) • Knowledge in biostatistics packages (R or Matlab) and SQL queries are strongly suggested • Strong communication skills, both the oral and written necessary to interact with a wide range of individuals Sr Bioinformatician: • Requirements noted for Bioinformatician I plus: • Master's degree in Bioinformatics, Computer Science, or related computational discipline • 3-5 years bioinformatics-related research experience • Knowledge in biostatistics packages (R or Matlab) and SQL queries preferred • Highly self-motivated and demonstrated ability to manage internal and external collaborations

At Cedars-Sinai, postdoctoral scientists and other junior researchers fulfill a critical role in expanding the horizons of medical knowledge through biomedical research. By hosting more than 100 postdocs, who conduct vital research and receive advanced training with expert faculty mentors, Cedars-Sinai supports the ongoing medical education process that continues beyond PhD/MD... graduation. Overview: Bioinformatics and Integrative Genomics Research interests in the bioinformatics and integrative genomics cluster (BIGC) involve large-scale data analyses incorporating a wide range of 'omics' technologies such as RNA-seq, single cell RNA-seq, ChIP-seq, WGS and WGBS. BIGC covers all aspects of projects using 'omics'- from study design, to data generation and analysis. The BIGC aims to equip postdocs with the skills they need to successfully incorporate NGS technologies into their research projects. Strong emphasis is placed on collaboration and team science and will foster career development by providing postdocs with guidance on how to foster successful interdisciplinary collaborative projects. Essential Job Duties and Responsibilities: • May assist in preparation of grant proposals, but is not responsible for generating grant funds. • May participate in publications and presentations as author or co-author. • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. • May develop, adapt, and implement new research techniques and protocols. • Analyzes, interprets, summarizes and compiles data. • Performs routine and complex laboratory procedures throughout training period. • Operates and maintains equipment and instruments. Education: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization. Experience: Works independently on research projects designed by a mentor (typically the PI) within area of specialization. Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Knowledge of safety standards and maintenance of specialized equipment. Working Title: Postdoctoral Scientist - Bioinformatics and Integrative Genomics Research Cluster Department: Cancer Resrch Ctr Health Eqty Business Entity: Cedars-Sinai Medical Center Job Category: Academic/Research Job Specialty: Postdoctoral Position Type: Full-time Shift Length: 8 hour shift Base Pay:$64,500.00 - $93,600.00

Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. About the Department of Pathology... Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit http://pathology.stanford.edu/ As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy. About GREGoR Stanford Site : GREGoR Stanford Site (GSS), is one of 6 sites in the National Institutes of Health (NIH)’s Genomics Research to Elucidate the Genetics of Rare disease (GREGoR) Consortium. The GSS (https://gregor.stanford.edu/) mission is to provide a platform for functional genomics research and validation to improve diagnosis in Mendelian disease through integrated analysis of multi-omics data. GSS is led by co-PIs Dr. Stephen Montgomery (Department of Pathology), Dr. Matthew Wheeler (Division of Cardiovascular Medicine) and Dr. Jon Bernstein (Division of Medical Genetics). At GSS, research participants who remain undiagnosed after exome sequencing will undergo short read and long read genome sequencing, transcriptome sequencing, methylation assays, metabolomics and/or lipidomics assays. State-of-the art computational algorithms and new methods will be applied and developed to prioritize the variants and genes. The data will be analyzed in a secure and scalable manner using a HIPAA compliant cloud platform like AnVIL and Google Cloud Platform (GCP). Novel causal variants and genes will be validated through state-of-the-art targeted approaches including massively parallel reporter assays, induced-pluripotent stem cell assays and CRISPR engineered cellular and mouse models. About the Position: We are seeking a highly talented and motivated Bioinformatics Engineer to support our GSS pipeline and data analysis team. Your role will focus on the development of pipelines and tools for comprehensive analysis of large amounts of molecular data generated by the GSS, with special emphasis on genomics, transcriptomics, and metabolomics datasets. You will also establish and support cloud infrastructure for storage and computation of the multi-omics data. Your ability to understand biological experiments, strong experience in the analysis of large-scale biological datasets, proficiency with programming languages and experience in high-performance computing environments or cloud will be a key resource in enabling high-quality data to flow through our systems to enable diagnosis and discovery of new disease-gene associations. A complete application will include CV (including GitHub account) and cover letter. Duties include: • Development of pipelines and tools for the comprehensive analysis of large amounts of multi-omics data being generated by the GSS. • Establish and maintain the cloud infrastructure for GSS on AnVIL and GCP. • Interact with GREGoR team members as well as external tool developers to implement new tools, algorithms, and updates. • Develop intuitive reports for molecular pipelines for tracking progress and quality metrics. • Track reports for problems with pipeline analysis and underlying data. • Extract relevant data from a variety of sources, including RESTful API services, databases and medical records. • Serve as a resource for bioinformatics inquiries from the clinical team members to access data or results from local cluster/cloud/external provider. • Work with stakeholders across the consortium to best understand data structures to model metadata schemas. • Mentorship to Junior Analysts with regards to primary analysis • Document and report as needed to fulfill grant and regulatory obligations. • - Other duties may also be assigned Due to the nature of the work, this position will be fully onsite. Desired Qualifications: • Graduate degree (Ph.D or M.S) that emphasizes bio/medical informatics, engineering, computer science and statistics are preferred. • Relevant work experience preferred, two or more years. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, atac-seq, proteomics. • Proficiency in Python and/or R and Linux bash scripting. • Experience with pipeline languages like WDL or snakemake or nextflow. • Proven track record of data and infrastructure management in a HPC (High Performance Computing) cluster or cloud computing like Google Cloud Platform or AWS. • Experience with container systems such as setting up virtual machines and docker instances. • Experience and knowledge of code management such as github. • Experience in systems biology approaches for data integration is a plus • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (rare disease) is a plus. • Experience on bioinformatics and/or software development team-based projects. • Willingness to work in a highly collaborative environment. Experience as part of large NIH consortiums is a plus. • Ability to quickly adapt and learn the latest tools and skills. • Strong communication skills (e.g., put together reports and presentations). • Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results). Education & Experience (REQUIRED): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. Physical Requirements*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. The expected pay range for this position is $102,160 to $125,054 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs

• *Join Dr. Simon Knott, Ph.D., and his research group as a Research Associate I!** The Knott laboratory is focused on understanding the mechanisms that cancer cells use to evade standard of care and experimental therapies. This entails developing and analyzing mouse models of drug resistance as well as profiling patient tumor material to identify cellular pathways that are amplified in response... to the therapeutic onslaught. To learn more, please visit Knott Research Lab | Cedars-Sinai. **Are you ready to be a part of breakthrough research?** Working under direct supervision, the Research Associate I performs a variety of routine experimental protocols and procedures to support the objectives of one or more laboratory research projects in a specific area of research. Assists in general laboratory activities, including maintenance of reagents and stocking of supplies. Files and monitors documents. Observes safety standards and procedures. The Research Assistant I will be able to perform routine micro- and molecular biology procedures including, but not limited to processing of blood and other biospecimens into different components, DNA/RNA extraction, PCR, cDNA preparation, cell culture, cloning of genetic fragments in bacteria. This position does not have supervisory responsibilities. **Primary Job Responsibilities:** + Performs a variety of routine laboratory tasks and procedures. + Keeps accurate and detailed project records of experiments and results. + Maintains lab equipment and related records. + Transports, processes and logs samples. + Maintains computer database with relevant clinical information. + Performs lab maintenance duties, including glassware cleaning and sterilization. + Maintains stocks of general lab materials, and places orders for lab equipment and supplies. + Assists new students and fellows in the laboratory. + Assists in the operation of specialized equipment and machinery. + Observes and complies with safety standards and procedures. **Education:** + Minimum of a Bachelor of Science or Bachelor of Arts degree in biological science required. **Experience and Skills:** + No experience required. One (1)or more years of additional practical experience working in a molecular biology/ pathology/ microbiology/ genetics laboratory is preferred. + Understanding of general research objectives and familiarity with routine laboratory procedures, experimental protocols, and overall lab organization. + Function efficiently as an individual and cooperatively with a team of faculty, research scientists and associates and graduate students. + Highly motivated, independent with superior interpersonal, communication, and strong organizational skills, including excellent written and oral communication. + Computer skills include, but are not limited to, Excel, Word, Access, and PowerPoint. + Ability to simultaneously manage multiple clerical trials, and attention to detail. **Working Title:** Research Associate I - Knott Lab - Center for Bioinformatics & Functional Genomics **Department:** BMS - Bioinfo & Func Genomics **Business Entity:** Cedars-Sinai Medical Center **Job Category:** Academic/Research **Job Specialty:** Research Studies/Clinical Trials **Position Type:** Full-time **Shift Length:** 8 hour shift **Shift Type:** Day **Base Pay:** $19.50 - $29.87Cedars-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

The University of Southern California (USC), founded in 1880, is located in the heart of downtown Los Angeles and is the largest private employer in the City of Los Angeles. USC is consistently ranked among the nation’s most prestigious universities, and the USC Leonard Davis School of Gerontology features one of the world’s best degree and research programs in gerontology. The USC Leonard Davis... School has an international reputation as a hub of aging research and with additional strong programs throughout the university leads the way in defining and advancing the field of gerontology. An exciting opportunity has been created for an enterprising Bioinformatician to join the USC-Buck Nathan Shock Center (NSC) Genomic Translation Across Species Core (GTASC) within the Leonard Davis School of Gerontology’s Bioinformatics Core at the University of Southern California (USC). The mission of the Gerontology Bioinformatics Core (GBC) is to facilitate the development of data analytic procedures to enable the translation of big data into research findings. The Bioinformatics Core has growth opportunities with funded research projects that integrate multiple disciplines, including aging biology, geroscience, lifespan, and developmental psychology, genetics, demography, and public health. In particular, we have a strong focus on using genomic data derived from diverse human cohorts to validate findings in model organisms to better understand the architecture of complex traits related to aging-related diseases and longevity. For more information about the GBC (https://gero.usc.edu/bioinformatics-core/) or the Davis School of Gerontology (https://gero.usc.edu), click on the included links Responsible for creating and running analytical pipelines to answer research questions on funded projects. Serves as an integral part of the research team. Works closely with faculty and research leads to develop and implement coding approaches. Educates and cross-trains graduate students, staff, or post-docs in external collaborating groups. Makes independent decisions on analysis approaches, free from immediate direction, within scope of responsibilities. The GTASC focuses on testing hypotheses in humans that were generated from research conducted in model organisms to aid in identifying processes that influence health and lifespan. We do this using genomic data (genetic, epigenetic, gene expression) collected as part of large population-based studies. The bioinformatician would be responsible for creating and running analytical pipelines to answer research questions that are instrumental in accelerating the pace of translational genomics relevant to human aging. The bioinformatician will be an integral part of the research team and work closely with the core leaders to develop, implement, and document these pipelines. Demonstrated knowledge of programming and/or scripting languages (i.e., R, SAS, python) is required for this position. The ideal candidate will be a person who has demonstrated skills in genomics data analysis (e.g., GWAS, EWAS, TWAS, etc.), using high-performance computing clusters, managing large data files, documenting methods used for bioinformatic analyses, applying statistical methods for work with high dimensional data. High attention to detail, good organization, and communication skills are essential. The successful candidate will perform quality control, data management, and analysis of data using biosocial, behavioral, health, environmental, and genetic/epigenomic measures; assist with annotation of findings; prepare data for reports and manuscripts, and grant applications; stay abreast of new technology and analytic techniques; and present research activities within the group and with collaborators. The bioinformatician will have the authority to make independent decisions on matters of significance, free from immediate direction, within the scope of their responsibilities. Flexible working environment. Posting will remain open until a suitable candidate is identified. Key Accountabilities • Evaluate and assess epigenome- and genome-wide data in large population studies of older adults (e.g. Health and Retirement Study, English Longitudinal Study of Ageing). Independently analyze and interpret data analyses from quality control to regression models. This includes developing/implementing quality control protocols, generating epigenetic or genetic measures (epigenetic age, polygenic scores, etc), and conducting analyses (e.g. EWAS, GWAS, SKAT, etc). Annotate findings. • Consult with collaborators to clarify, improve and evaluate research projects. Manage data acquisition, storage, and sharing tasks, such as data use agreements and interfacing with data repositories (e.g. dbGaP, NIAGADS, and GEO). • Perform regular maintenance of datasets including merging refreshment files, restructuring and recoding variables, and checking for errors (while providing feedback to analysts during this process). Create and maintain clear and organized workflow documentation for internal and external review. Chronicle data management and analysis steps and annotate program files to ensure full transparency and reproducibility as part of a public analysis pipeline (interface with Github, etc.) to accompany manuscripts. • Perform code review for other analysts as part of the team, including working with other team members to fix errors and discuss differences in scientific opinion. Assist in the supervision of students/staff/postdocs, including guiding and managing tasks. Conduct literature reviews on aging, genomic, and bioinformatic topics. Write data, analysis, and results sections for working papers, reports, grants, and manuscripts. Collaborate in the development of data presentations for conferences and workshops. The GBC fosters a work environment that is inclusive as well as diverse, where ideas and perspectives are valued. We are building a team where individuals can thrive, contribute to cutting-edge research related to health with aging, and collaboratively elevate translational science. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or an individual’s status in any group or class protected by applicable federal, state, or local law. Required Qualifications • Master’s degree in a recognized field of science or learning which is directly related to the duties of the position, including, but not limited to, biostatistics, quantitative social science, molecular genetics, statistical genetics, translational genomics, or bioinformatics. • Two or more years of experience in at least two domains characteristic of the bioinformatics, including at least one biological/biomedical science and one quantitative/informatics/computing science, with an aptitude for others. • Experience analyzing large and complex biological and/or -omics datasets using reproducible analysis approaches (e.g. analysis pipelines). • Data management and statistical modeling programming experience in R or other –omic analysis software using command line programming such as Linux/Unix. • Highly motivated to learn and implement novel quality control and analyses techniques for genomic data. • Ability to multi-task in order to facilitate several research projects at different stages of completion. • Experience with record-keeping for documentation of analyses and analysis pipelines. • Good communication on technical and non-technical aspects of data analysis, tasks, and timelines. • Must be able to work independently and as part of a research team. • Familiarity with statistical genetic and social science research methods. Preferred Qualifications • Familiarity with statistical genetic and social science research methods. • Experience with genomic analysis of large health or social science studies. • Programming experience with R Markdown, Python, and R shiny apps. • Experience with standard bioinformatics software tools and packages e.g. Bioconductor. • Experience analyzing large and complex biological and/or -omics datasets using reproducible analysis approaches (e.g. analysis pipelines). Work Locations This position will be on-site at the University of Southern California, Leonard Davis School of Gerontology, with flexible scheduling and remote opportunities made available within our overall school policies. If relocation is required, we will allow for reasonable time and flexibility to make necessary arrangements. Additional Information The University of Southern California offers a competitive benefits package including medical, dental, vision, life insurance, accidental death, and dismemberment insurance, and short and long term disability insurance. The annual base salary range for this position is $80,000-$96,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. REQUIRED DOCUMENTS: In order for your application to be considered, a cover letter and resume must be attached. Minimum Education: Master's degree Minimum Experience: 2 years Minimum Skills: Experience analyzing large and complex biological/-omics datasets using reproducible analysis approaches (e.g., analysis pipelines). Demonstrated knowledge of programming/scripting languages (e.g., R, SAS, python). Programming experience in data management and statistical modeling (e.g., R or other –omic analysis software, using command line programming). Demonstrated skills in genomics data analysis (e.g., GWAS, EWAS, TWAS, etc.); experience using high performance computing clusters, managing large data files, documenting methods used for analytical procedures, and applying statistical methods for working with repeated measures data (e.g., from large-scale, population-based datasets). Highly motivated to learn and implement novel quality control and analyses techniques. Ability to multi-task. Experience with analysis pipeline record-keeping. Strong organizational and communication skills. High level of attention-to-detail. Ability to work independently and as part of a research team. Familiarity with statistical genetic and social science research methods. Preferred Skills: Experience with genomic analysis of large health or social science studies. Programming experience with R Markdown, Python, and R shiny apps. Experience with standard bioinformatics software tools and packages (e.g., Bioconductor). Experience analyzing large and complex biological/-omics datasets using reproducible analysis approaches (e.g., analysis pipelines

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, andtreatment facilities in Atlanta, Chicago and Phoenix. City of Hope's affiliated group of organizations includes Translational Genomics Research Institute and AccessHope TM . 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. Position Summary 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. Responsibilities: · 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. Preferred Qualifications: · 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. Additional Information: · 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. #PD

About City of Hope City of Hope is an independent biomedical research and treatment organization for cancer, diabetes and other life-threatening diseases... Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hope’s translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope™, a subsidiary launched in 2019 serves employers and their health care partners by providing access to City of Hope’s specialized cancer expertise. A National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, City of Hope is ranked among the nation’s “Best Hospitals” in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona. 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. Position Summary Applies bioinformatics and information science and technology to the organization, storage, analysis, modeling and visualization of complex biological data. Develops custom software and databases as needed. Key Responsibilities include: · Consults on various research projects as assigned under supervision of the department director. · Collaborates with department personnel on research projects; performs statistical and other mathematical analyses and simulations of complex data using available software packages and by developing new custom software. · Prepares summaries, presentations, manuscript sections and figures for the visualization and publication of complex data and results. · Develops databases for the organized entry, reliable storage and efficient retrieval of complex data. · Establishes schedules and monitors status of projects on an ongoing basis. · Trains department personnel in the use of specialized and custom software packages and databases. · Provides recommendations for the growth and improvement of the computer hardware and software infrastructure of the department. · Enhances professional growth and development by reviewing current literature and by participation in educational programs, workshops, conferences, and inservice meetings. · Maintains department records, reports, and files as required. · Attends meetings as required. · Performs special projects as assigned by management. · Performs other related duties as assigned or requested. Basic education, experience and skills required for consideration: · Master’s Degree or Ph.D. Degree (in Bioinformatics, Computer Science, Mathematics, Statistics) Equivalent Experience preferred. · 2+ years’ experience applying computer and information science and technology to the organization, storage, analysis, modeling and visualization of complex data. Preferred education experience and skills: · Bioinformatics Background and single cell data analysis experience Additional Information: · 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

NATIONAL LEADERS IN PEDIATRIC CARE Ranked among the top 10 pediatric hospitals in the nation, Children’s Hospital Los Angeles (CHLA) provides the best care for kids in California... Here world-class experts in medicine, education and research work together to deliver family-centered care half a million times each year. From primary to complex critical care, more than 350 programs and services are offered, each one specially designed for children. The CHLA of the future is brighter than can be imagined. Investments in technology, research and innovation will create care that is personal, convenient and empowering. Our scientists will work with clinical experts to take laboratory discoveries and create treatments that are a perfect match for every patient. And together, CHLA team members will turn health care into health transformation. Join a hospital where the work you do will matter—to you, to your colleagues, and above all, to our patients and families. The work will be challenging, but always rewarding. It’s Work That Matters. Overview Position Summary: The Senior Bioinformatics Scientist oversees the analysis and management of high throughput data generated from NGS or high throughput arrays. The individual will work closely with CHLA scientists, physicians, bioinformatics analyst and biostatisticians to provide customized solutions for a broad variety of biological experiments in the subject area of infectious diseases. He/she will assist with managing, analyzing, and interpreting data generated by parallel detection systems used in genomics, transcriptomics, microbiomics and metagenomics. The successful candidate will implement both software and hardware applications/systems supporting scientific data workflow processes and develop pipelines. He/she also provides research support to investigators and assists in training investigators and new users to use bioinformatics applications and databases. The Senior Bioinformatics Scientist participates in the bioinformatics group's independent research and assists in preparing and submitting manuscripts for publication. He/She also plays a leadership role in recruiting and managing junior bioinformatics analysts or scientists. Qualifications PhD degree in bioinformatics or equivalent. Three years of hands-on experience in life science data, genomics and computation. Demonstrated ability to solve biologically-relevant problems requiring novel applications of exploratory data analysis. Experience in NGS data analysis is highly desirable. Knowledge Skills And Abilities Required Excellent English written and oral communication skills. Proficient in scripting languages (phtyon, perl) or Java. Proficient with R (non-coursework related) and relational database packages (MySQL). Knowledge of microarray and NGS data management and analysis. Knowledge of genomic database resources at NCBI, EMBL strongly preferred. Knowledge of hardware including server, network, etc. Ability to synthesize statistical and bioinformatics results into graphic and written form. Pay Scale Information USD $76,128.00 - USD $137,030.00 CHLA values the contribution each Team Member brings to our organization. Final determination of a successful candidate’s starting pay will vary based on a number of factors, including, but not limited to education and experience within the job or the industry. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. CHLA looks forward to introducing you to our world-class organization where we create hope and build healthier futures. Children's Hospital Los Angeles (CHLA) is a leader in pediatric and adolescent health both here and across the globe. As a premier Magnet teaching hospital, you’ll find an environment that’s alive with learning, rooted in care and compassion, and home to thought leadership and unwavering support. CHLA is dedicated to creating hope and building healthier futures – for our patients, as well as for you and your career! CHLA has been affiliated with the Keck School of Medicine of the University of Southern California since 1932. At Children’s Hospital Los Angeles, our work matters. And so do each and every one of our valued team members. Your race and ethnicity, religion, age, gender, sexual orientation and ability make you uniquely you – and that is just who we are looking for! So, bring the best of yourself and contribute to our mission in your own unique way. Diversity inspires innovation. Our experiences, perspectives and backgrounds allow us to better serve our patients. As an equal opportunity employer, we celebrate the differences of our team members

At Cedars-Sinai, postdoctoral scientists and other junior researchers fulfill a critical role in expanding the horizons of medical knowledge through biomedical research. By hosting more than 100 postdocs, who conduct vital research and receive advanced training with expert faculty mentors, Cedars-Sinai supports the ongoing medical education process that continues beyond PhD/MD... graduation. Overview: Bioinformatics and Integrative Genomics Research interests in the bioinformatics and integrative genomics cluster (BIGC) involve large-scale data analyses incorporating a wide range of 'omics' technologies such as RNA-seq, single cell RNA-seq, ChIP-seq, WGS and WGBS. BIGC covers all aspects of projects using 'omics'- from study design, to data generation and analysis. The BIGC aims to equip postdocs with the skills they need to successfully incorporate NGS technologies into their research projects. Strong emphasis is placed on collaboration and team science and will foster career development by providing postdocs with guidance on how to foster successful interdisciplinary collaborative projects. Essential Job Duties and Responsibilities: • May assist in preparation of grant proposals, but is not responsible for generating grant funds. • May participate in publications and presentations as author or co-author. • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. • May develop, adapt, and implement new research techniques and protocols. • Analyzes, interprets, summarizes and compiles data. • Performs routine and complex laboratory procedures throughout training period. • Operates and maintains equipment and instruments. Education: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization. Experience: Works independently on research projects designed by a mentor (typically the PI) within area of specialization. Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Knowledge of safety standards and maintenance of specialized equipment

Cedars-Sinai Cancer and the Department of Computational Biomedicine are conducting a nationwide search for early career faculty in the areas of Cancer Bioinformatics and Computational Oncology. Cedars-Sinai Medical Center is one of the nation’s premier healthcare institutions committed to exceptional patient care, leading-edge research and excellence in education. Faculty in Cancer... Bioinformatics and Computational Oncology lead independent research programs focused on developing innovative computational methods for the analysis of multimodal omics and clinical cancer data. Possible areas of research focus include, but are not limited to, advancing methods to integrate complex multiscale and multiomics cancer data, rigorously computational methods for the discovery of cancer driver mutations, development and validation of novel computational drug discovery and drug repurposing pipelines, building novel deep phenotyping methods for patient stratification and to advancing precision medicine, and development of novel clinical outcomes models in oncology. As a faculty member in the Department of Computational Biomedicine and Cedars-Sinai Cancer, you are expected to establish an independent and innovative methodological research program, be involved in collaborative research with medical, basic science, and population science investigators, and actively participate in our educational mission. Our compensation philosophy: We offer competitive total compensation that includes pay, benefits, and other incentive programs for our employees. The base pay range shown takes into account the wide range of factors that are considered in making compensation decisions including knowledge/skills; relevant experience and training; education/certifications/licensure; and other business and organizational factors. This base pay range does not include our comprehensive benefits package and any incentive payments that may be applicable to this role. Pay Range: $71,094 - $265,200 Base Compensation Qualifications • Qualifications: · Ph.D. in Biomedical Informatics, Bioinformatics, Health AI, Computer Science, Data Sciences, Artificial Intelligence, or related field · Track record of publications in high-impact cancer research journals · Ability to develop and maintain an extramurally funded research program · Track record of designing, developing, and validating innovative computational methods for high impact cancer research challenges · Excellent communication and collaboration skills Application Instructions To Apply: Please submit the following, addressed to Nicholas Tatonetti, PhD at Cedars-Sinai Cancer: 1. A curriculum vitae; 2. Cover letter; 3. Names of three references