Bioinformatics Jobs

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

The Department of Dermatology at Stanford School of Medicine, is seeking a Bioinformatics Scientist to develop software and conduct bioinformatics and statistical analysis to facilitate biomedical research. The candidate will work with a team of bioinformatics scientists and basic science researchers, postdoctoral researchers, and graduate students to design data analysis plans, implement these... plans through bioinformatics programming, present results orally to investigators and publish findings. The candidate will also be responsible to help develop and maintain bioinformatics software platforms. This position will be based at the Stanford Medical campus and provides hybrid flexibility, subject to operational need. The labs perform cutting-edge research using high-throughput techniques to understand stem cell function, development, cancer, and other biological processes, with a focus on epigenomics. Technologies currently in use include next generation sequencing platforms, spatial genomics, mass spectrometry, custom tiling arrays, and functional genomics screens. Previous experience with analysis of high throughput data and large datasets from NGS platforms using established software is strongly desired. In addition, applicants are required to have familiarity with scripting languages (Python, R, or other languages) to create custom data analysis pipelines, to mine databases and test directed hypotheses with internal data. Applicants will be expected to have experience with relational database management systems and to integrate large volumes of data generated from multiple sources. Previous experience with Unix-like environment is required, high performance computing familiarity is needed and some familiarity with cloud computing can also be helpful. Software development skills and some background in biology are also desired. We are looking for a person with good ability to communicate information to both technical and non-technical audiences, and work in cross functional teams. Duties include: • Assess user needs and requirements. • Design and develop applications that may involve sophisticated data manipulation. • Maintain and update existing programs. • Troubleshoot and solve technical problems. • Create programs to meet reporting and analysis needs. • Design and implement user and operations training programs. • Document changes in software for end users. • Follow team software development methodology. • Serve as technical resource with respect to applications. • - Other duties may also be assigned DESIRED QUALIFICATIONS: • Bachelor’s in Bioinformatics, Statistics, Computer Science or related field, and three years of relevant experience • Master’s in Bioinformatics, Statistics, Computer Science or related field, and one year of relevant experience • Proficient in R and Python, and a statistical analysis software e.g., SAS or SPSS • Experience with NGS analysis and bioinformatics pipelines e.g., RNA-seq, ATAC-seq and etc. • Experience with relational databases, data integration and statistical analysis • Familiarity with software development practices and version control systems e.g., GitHub • Experience with Unix-like and HPC environments, and some familiarity with cloud computing • Good ability to communicate information to both technical and non-technical audiences EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Current knowledge of latest software and design standards. • Ability to define and solve logical problems for technical applications. • Knowledge of and ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. • Basic knowledge of software engineering principles. • Strong knowledge of at least one programming language. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS*: • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds • - 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. WORKING CONDITIONS: May work extended hours, evening and weekends. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.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

Payroll Title: BIOINFORMATICS PROGR 2 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $75,850 - $92,000 / Year Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday - Friday #121793 Bioinformatics Programmer Extended Deadline: Tue 3/28/2023 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy UCSD Layoff from Career Appointment: Apply by 03/01/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 03/10/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION The mission of the collaborative effort between the Bintu lab and the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of neurodegenerative diseases. The epigenome plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions, and aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The Bintu lab and the UCSD Center for Epigenomics works with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research. Under the co-mentoring of Assistant Professor Bogdan Bintu and the Associate Director of Spatial Genomics Quan Zhu, the incumbent will help in running, customizing, and optimizing data analyses pipelines for spatial transcriptomics/genomics experiments. The incumbent will help to evaluate data quality and gain biological insights, as well as assist to prepare results for oral presentation, scientific publications, and grant applications. Furthermore, the incumbent will be trained in maintaining the advanced Fluorescence In Situ Hybridization (FISH)-based imaging technologies to conduct high throughput, spatially resolved single cell analysis of transcriptomics and chromatin structure. CT - Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives. MINIMUM QUALIFICATIONS • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training. • Two (2+) or more years of relevant experience. • Working knowledge of bioinformatics methods and data structures. • Thorough knowledge of applications programming and web development. • Working knowledge of databases. • Working project management skills. Excellent organizational, problem solving, and analytical skills, and attention to detail. • Working knowledge of modern biology and applicable field of research. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Thorough knowledge of application and data security concepts. • Working knowledge in genomics, biostatistics, molecular biology, and/or genetics. • Ability to work in a dynamic "startup" atmosphere. • Knowledge of analyzing next generation sequencing data. Experience with single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus. • Prior experience in statistics and programming languages such as Python, Perl, and R. Proficiency with relational databases and programming languages used in the development of web-based MIS systems is a plus plus (e.g. SQL Server, HTML). SPECIAL CONDITIONS • Job offer is contingent upon satisfactory clearance based on Background Check results. • Occasional holidays, weekends, evenings, nights, and on-call may be required. Pay Transparency Act Annual Full Pay Range: $59,700 - $124,300 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $28.59 - $59.53 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

The Knott Laboratory at Cedars-Sinai Medical Center is seeking to hire a highly motivated computational scientist to fill the position of Research Bioinformatician II! The Knott laboratory is searching for a computational scientist with strong software engineering skills. We prefer this person have a background in single cell RNA sequencing or image analysis, or have experience studying the... spatial distribution of objects and their influence over one another. This research bioinformatician will lead the analysis of novel single cell sequencing and spatial data for a multidisciplinary team that is studying how cancer cells metastasize to distant organs away from the primary tumor site. To learn more, please visit: Knott Research Lab | Cedars-Sinai. The Research Bioinformatician II (RBII) performs general bioinformatics analysis and software support for projects involving in omics, and interacts with investigators to identify research problems, find appropriate software tools and recognize national biological databases and online resources for omic data. The RBII 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 RBII will demonstrate continuous self-improvement, make effective contributions to the section, and adhere to CSHS compliance plan, code of conduct, and hospital and departmental policies and procedures. Primary Job 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 analyzes 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 • 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 literatures in bioinformatics and computational biology • Assists or collaborates in the preparation of grant proposals, publications, and presentations involving omic data • Educate others about bioinformatics through mentoring and teaching colleagues, investigators, fellows, and graduate students. Education: • Master of Science Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics) is required. • Doctorate in Computer Science or a related computational field is preferred. Experience & Skills: • Three (3) years in a research environment. • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. • Previous experience 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. Working Title: Research Bioinformatician II - Knott Lab - Center for Bioinformatics and Functional Genomics Department: BMS - Bioinfo & Func Genomics Business Entity: Academic / Research Job Category: Academic/Research Job Specialty: Bioinformatics Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day Base Pay:$78,400.00 - $133,100.00

GDIT's Military Health team is seeking a Data Manager - Bioinformatics Analyst in support of the Naval Health Research Center (NHRC) Infectious Disease Field Surveillance and Laboratory Research Services. As the Navy hub for the Armed Forces Health Surveillance Center the NHRC Operational Infectious Diseases Directorate conducts on-going, laboratory-based surveillance of US military populations... in unique environments to quantify and study the etiology of infectious illnesses. This position will provide support services for operational infectious disease surveillance, accredited clinical laboratory testing, diagnostic evaluations, clinical research support and scientific research services. HOW YOU WILL MAKE AN IMPACT • The Bioinformatics Analyst is responsible for providing collaborative bioinformatics support to the investigators at the Naval Health Research Center (NHRC). • Support to NHRC’s COVID-19 surveillance efforts via the analysis of complex data sets. • Analysis and interpretation of high-throughput biomedical data generated by diverse platforms with emphasis on next-generation sequencing • Contribute to a team effort in designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data • Responsible for the organization and management of large genomic datasets, and the integration of data from multiple sources • Mining publicly available biological data to generate novel hypotheses or insights • Presenting analysis results, in a clear and concise manner, to an audience not familiar with bioinformatics WHAT YOU’LL NEED TO SUCCEED • Education: Bachelors Degree in biomedical science/bioinformatics/math/statistics/computer-related field • Required Experience: 2 years related experience • Required Technical Skills: Experience with bioinformatics tools and databases • Experience managing large genomic data sets including integration with data available from public sources • Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++ • Record of scientific achievements including journal publications or presentations • Preferred Skills: Experience in analysis of next generation sequencing (NGS) data (including quality metrics, mapping, variant calling, quantitation of gene expression and biological interpretation) • Experience in analysis of large genomic data sets including integration with data available from multiple sources • Hands-on experience in data processing and analyzing sequencing and expression and other array data including quality and biological assessment are also essential • Ability to understand and analyze data from complex experimental designs • Experience in at least two of the following areas: metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray analysis • Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose • Location: Onsite in San Diego • Security Clearance Level: Ability to obtain a favorable NACLC T3 security investigation prior to start date. • US Citizenship Required: Must be a US citizen WHAT GDIT CAN OFFER YOU: • Challenging work that makes a real impact on the world around you • Internal mobility team dedicated to helping you own your career • 401K with company match • Diverse, highly collaborative teams • Professional development, education assistance, certification and training opportunities #MILITARYHEALTHGDITJOBS #GDITFedHealthJobs #GDITPublicHealthJobs #GDITLabScienceJobs #GDITClinicalResearchJobs

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science... to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com. GRAIL is seeking a Senior Bioinformatics Engineer to join the Bioinformatics and Data Science team. In this role, you will work with Scientists, Bioinformaticians, and Statisticians to develop bioinformatics data processing pipelines and scientific software for processing and analyzing molecular data. This software will be at the core of critical scientific and product development activities including training machine learning classifiers, analyzing experimental results, and processing data as part of GRAIL's diagnostic tests. The ideal candidate will have a strong computer science background, with a passion for creating well-written, scalable, and robust software for sample processing pipelines in a regulated environment. Responsibilities • Coordinate with a cross-functional team to develop new software features, process study samples, support analysis objectives, and lock device software for new products. • Design and implement efficient and horizontally-scalable bioinformatics software, in support of research and product initiatives. • Maintain a high level of software reliability by adhering to and enforcing sound engineering principles, including thorough testing. • Follow the formal development and release procedures needed to convince others of this reliability, meeting the high standards expected of regulated diagnostic devices. • Take the initiative to rigorously investigate and fix issues that still fall through the cracks; and pioneer new initiatives that make this come up less often. Qualifications • Engineering, Bioinformatics, Math, or related Master's degree with 5+ years of experience or Ph.D. with 3+ years of experience in a relevant position. • Expert knowledge in designing, building, and testing scientific software and data analysis pipelines. • Professional software engineering experience, including extensive experience in at least one system-level programming language like Go, Java, or C++. • Previous experience working in and developing infrastructure for cloud environments. • Moderate familiarity with developing bioinformatics pipelines with a workflow engine, like Reflow or NextFlow. • Experience with cross-functional collaborations while ensuring data quality and commitment to analysis reproducibility. • Strong communicator who can discuss complex technical concepts with cross-functional collaborators and capture solutions in technical documentation. Bonus • Working knowledge of common bioinformatic tools for processing next-generation sequencing data. • Experience developing software for regulated products. The estimated, full-time, annual base pay scale for this position is $150,000 - $176,000. Actual base pay will consider skills, experience, and location. Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time. In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings. GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. GRAIL maintains a drug-free workplace. Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL

Bioinformatics Analyst Interested in building a career in life sciences? An exciting mid-size Pharmaceutical company on the west coast is looking for talented Bioinformatics Analyst! The opportunity is a fully remote, 6 to 12 month contract-to-extend with benefits. There is an Oncology emphasis but all therapeutic backgrounds are encouraged to apply... The Bioinformatics Analyst will be responsible for: · Leading computational biology and data analysis efforts · Partnering with team members to develop robust data analysis pipelines · Communicating strategies and progress to cross-functional management · Integrating and interpreting heterogenous & noisy datasets from ongoing clinical trials The Bioinformatics Analyst should have the following qualifications: · Master's Degree in scientific discipline · Proficiency with R & Python with working knowledge of AWS · Experience with PowerBI, Tableau, or Splunk · 5+ years experience in the Life Sciences Benefits: · Opportunity for growth at an exciting Pharmaceutical company · Fully remote · Competitive pay rate If you are interested in the Bioinformatics Analyst role, then please don’t wait to apply. Please note this role is only offered on a W2 basis through EPM Scientific

Summary This opportunity with the Next-Generation Sequencing Informatics... (NGSI) group requires a high-performing data scientist with broad informatics experience to generate, troubleshoot and deliver large-scale production deliverables. The ideal candidate will be fluent in at-scale sequencing and analysis methods and possess exceptional organizational and communication skills. As the HGSC Bioinformatics Core, NGSI manages the production, maintenance and primary analysis of all HGSC genome sequence data from Novaseq, PromethION, and PacBio sequencing platforms. NGSI also contributes to multiple clinical, Mendelian, and large cohort sequencing studies, specifically in the areas of structural variation and at-scale genomic data science. Under the direction of the NGSI leads, a qualified candidate will execute and manage data generation, delivery, QC, and analysis of large data sets, requiring use of local and cloud-based compute resources. These responsibilities include direct interaction with collaborators and communicating relevant results, with opportunities to present work at meetings and conferences. The HGSC was founded in 1996 under the leadership of Dr. Richard Gibbs and is a world leader in genomics. The fundamental interests of the HGSC are in advancing biology and genetics by improved genome technologies. As one of the three large-scale sequencing centers funded by the National Institutes of Health, the HGSC provides a unique opportunity to work on the cutting-edge of genomic science in a state-of-the-art institution. Today, the HGSC employs ~ 200 staff, and it occupies more than 36,000 square feet on the 14th, 15th, and 16th floors of the Margaret M. and Albert B. Alkek Building. The HGSC is located on the southwest edge of downtown Houston, the fourth largest city in the U.S., in the Texas Medical Center, the world's largest medical complex. The major activity of the HGSC is high-throughput DNA sequence generation and the accompanying analysis. The HGSC is also involved in developing the next generation of DNA sequencing and bioinformatics technologies that will allow greater scientific advances in the future. Job Duties • Manage the generation, storage and delivery of large-sample genomic datasets • Develop, test and deploy at-scale analysis protocols • Deliver QC’ed data to public repositories and collaborators • Maintain extensive project-specific documentation and best practices • Support day-to-day NGSI production pipelines • Participate in calls and meetings with collaborators • Identify novel ways to improve data quality and analysis • Provide excellent customer service to other HGSC groups and outside collaborators through Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • No experience required. Preferred Qualifications • Master’s degree in a related field. • At least 1 year of hands-on experience working on Linux or Unix-based systems from the command line. • At least 1 year of programming experience with Python (preferred) or Java. • Familiar with running analyses on a HPC clusters (Moab, PBS, and Torque preferred). • Familiar with Cloud Computing (AWS, Google). • Demonstrated ability to manage multiple tasks and overlapping deadlines. • Excellent written and verbal communication skills. • NGS pipeline development. • NGS sequence analysis tools (e.g., BWA, Samtools, bedtools, bamUtils, Picard, GATK,vcftools,bcftools). • Common genomics data formats (e.g., FASTQ, BAM, VCF, BED). • Database and big data software (e.g. NoSQL, Hadoop, HBase). • Statistical and visualization software (e.g. R, SAS). • Demonstrated experience in software development or testing. • Structural variation detection methods. Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 14669 CA; CH; SN

Company Description Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary tests, vast data sets and advanced analytics. The Guardant Health oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum... Guardant Health has commercially launched Guardant360®, Guardant360 CDx, Guardant360 TissueNext™, Guardant360 Response™, and GuardantOMNI® tests for advanced stage cancer patients, and Guardant Reveal™ for early-stage cancer patients. The Guardant Health screening portfolio, including the Shield™ test, aims to address the needs of individuals eligible for cancer screening. Job Description DEPARTMENT SUMMARY – The Bioinformatics, BioPharma team at Guardant Health is focused on partnerships with leading biotech and pharma companies who are at the forefront of cancer therapeutics and diagnostics. In this role, you will help lead the bioinformatics and data analysis in support of the late-stage oncology products and other emerging technologies. You will work with a number of BioPharma and clinical customers, tailor personalized analyses for each organization, and tackle some of the most interesting biological and technical questions related to cancer diagnostics and therapy selection. About the Role: You will contribute to BioPharma project initiatives in-house, including development of novel bioinformatic and analytical methods. As a part of the Bioinformatics and BioPharma teams, you will have the opportunity to innovate and implement your ideas to continuously improve our oncology products and analytics to adapt to the changing landscape of BioPharma needs. Essential Duties and Responsibilities: • Collaborate with multiple teams across Guardant Health, including Bioinformatics, Medical Affairs, Software, Business Development, Technology Development, and Operations • Work together with our collaborators in industry, hospitals and academia on high-impact translational research and publish on your findings • Analyze and interpret data collected at Guardant Health and leverage this data for tumor biology and technological insights. Qualifications • PhD in bioinformatics, genomics or related fields • 3+ years relevant experience in Pharmaceutical or Biotech industry • Extensive knowledge of molecular biology and cancer genomics • Expertise in scripting language – R and/or Python and linux shell environment (Bonus: experience developing novel / custom algorithms for interpretation of NGS data) • Excellent data analysis skills and working knowledge of statistical methods • Experience with NGS data and landscape of bioinformatics tools (Bonus: direct experience with epigenomic data) • Desire and ability to dig deeply through various data types to seek out answers • Great communication and presentation skills, ability to present clearly and effectively to stakeholders across organizations • Ability to work well in a fast-paced startup environment, delivering high-quality results under tight timelines • Ability to synthesize high-level concepts, drive projects forward, while maintaining attention to detail • Strong team player: ability to work together with your team as well as cross-functionally and even across institutions, to accomplish your goals Additional Information Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients. Covid Vaccination Policy: Guardant Health requires all employees to be fully vaccinated. We follow the CDC guidelines for the definition of “fully vaccinated”, meaning an employee is consider fully vaccinated against COVID-19 after receiving the second dose of a two-dose vaccine or one dose of a single-dose vaccination, and necessary booster vaccines. In addition, fully vaccinated employees will be required to maintain their fully vaccinated status under this policy by obtaining, if applicable, any FDA-approved boosters. Candidates may request an exemption from Guardant’s COVID-19 U.S. Vaccination Policy as a reasonable accommodation, as consistent with applicable laws.  Candidates will not be able to start their employment with Guardant until they show proof of vaccination or have an approved exemption. Company policy requires that you be fully vaccinated in order to work on-site, visit customers, or attend Company meetings. For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full-time position is $136,000 to $184,000. The range does not include benefits, and if applicable, bonus, commission, or equity. Within the range, individual pay is determined by work location and additional factors, including, but not limited to, job-related skills, experience, and relevant education or training. If you are selected to move forward, the recruiting team will provide details specific to the factors above. Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time. Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to Peopleteam@guardanthealth.com Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. All your information will be kept confidential according to EEO guidelines. To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants. Please visit our career page at: http://www.guardanthealth.com/jobs/ #LI-CS4

Payroll Title: BIOINFORMATICS PROGR 2 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $75,850 - $92,000 / Year Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday - Friday #121793 Bioinformatics Programmer Extended Deadline: Tue 3/28/2023 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy UCSD Layoff from Career Appointment: Apply by 03/01/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 03/10/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION The mission of the collaborative effort between the Bintu lab and the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of neurodegenerative diseases. The epigenome plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions, and aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The Bintu lab and the UCSD Center for Epigenomics works with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research. Under the co-mentoring of Assistant Professor Bogdan Bintu and the Associate Director of Spatial Genomics Quan Zhu, the incumbent will help in running, customizing, and optimizing data analyses pipelines for spatial transcriptomics/genomics experiments. The incumbent will help to evaluate data quality and gain biological insights, as well as assist to prepare results for oral presentation, scientific publications, and grant applications. Furthermore, the incumbent will be trained in maintaining the advanced Fluorescence In Situ Hybridization (FISH)-based imaging technologies to conduct high throughput, spatially resolved single cell analysis of transcriptomics and chromatin structure. CT - Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives. MINIMUM QUALIFICATIONS • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training. • Two (2+) or more years of relevant experience. • Working knowledge of bioinformatics methods and data structures. • Thorough knowledge of applications programming and web development. • Working knowledge of databases. • Working project management skills. Excellent organizational, problem solving, and analytical skills, and attention to detail. • Working knowledge of modern biology and applicable field of research. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Thorough knowledge of application and data security concepts. • Working knowledge in genomics, biostatistics, molecular biology, and/or genetics. • Ability to work in a dynamic "startup" atmosphere. • Knowledge of analyzing next generation sequencing data. Experience with single cell genomics data like single cell RNA-seq, single cell ATAC-seq or single cell DNA methylation data is a plus. • Prior experience in statistics and programming languages such as Python, Perl, and R. Proficiency with relational databases and programming languages used in the development of web-based MIS systems is a plus plus (e.g. SQL Server, HTML). SPECIAL CONDITIONS • Job offer is contingent upon satisfactory clearance based on Background Check results. • Occasional holidays, weekends, evenings, nights, and on-call may be required. Pay Transparency Act Annual Full Pay Range: $59,700 - $124,300 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $28.59 - $59.53 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening