bioinformatician/research data analyst 1 Jobs in California

bioinformatician/research data analyst 1

bioinformatics engineer ii (18 month fixed-term) (hybrid opportunity) Jobs in California

bioinformatics engineer ii (18 month fixed-term) (hybrid opportunity)

biomedical cloud engineer Jobs in California

biomedical cloud engineer

scientific director

technical lead - genai for 3d computer vision Jobs in California

technical lead - genai for 3d computer vision

ophthalmology bioinformatics core director

Stanford University

There is an open position at Stanford University in the Department of Ophthalmology for a bioinformatician with expertise in the analysis of genome-wide datasets related to gene expression. While reporting directly to the Chairman Dr. Jeffrey L. Goldberg, the position will collaborate with faculty in the Department who are performing projects in the field of Vision Research requiring bioinformatics expertise. The incumbent will contribute to project design, acquisition of data, interpretation, and publication of "-omics" datasets. The competitive applicant will have published research based upon RNA-seq, ChIP-seq, Hi-C, and other state- of-the-art technologies. There will be opportunities to train students and fellows in the use of these technologies.Duties include: Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards). Supervise, coach and mentor a high-performing team of analysts. Identify, leverage and partner with external firms. Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation presentation. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff. - Other duties may also be assignedThe expected pay range for this position is $132,498 - $157,989 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.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. DESIRED QUALIFICATIONS:Experience in the generation and analysis of genome-wide datasets, in particular related to the function of transcription factors, promoters and enhancers in a cell-type or pathological state specific manner. Experience with RNA-seq, ChIP-seq and similar technologies, both data generation and analysis.EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five 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): Ability to direct the work of others, for jobs requiring supervision. Relevant subject matter knowledge. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. Experience in advanced softward and coding skills for bioinformaticsCERTIFICATIONS & LICENSES:NonePHYSICAL 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.WORKING CONDITIONS:Some work may be performed in a laboratory or field setting.<img src="https://www.jobg8.com/Tracking.aspx?zTrfLbIc2GOI2bvWvcZAja0pJ4LncGa2f" width="0" height="0" />

Ophthalmology Bioinformatics Core Director

The Stanford Center for Genomics and Personalized Medicine (SCGPM) has an exciting opportunity available for a motivated Biomedical Cloud Engineer to create innovative data architectures that will automate the process of turning big genomic data into biomedical insights. The ideal person for this position is a keen listener who can interpret biological questions, assess the value and relevance of different technologies and methods, and deliver actionable technical solutions. Background: The Department of Veterans Affairs (VA) has commissioned the sequencing of hundreds of thousands of whole genomes from participants in the Million Veteran Program (MVP) . This data is currently being delivered to the SCGPM's cloud computing environment and constitutes one of the largest repositories of whole-genome sequencing data in the world. The scale and richness of this data make it an incredible resource for biomedical research. Our goal is to turn this data lake into a data commons: a dynamic computing environment where researchers bring questions and get answers, all without having to go through the ordeal of manually collecting, cleaning, massaging, scrubbing, sorting, transforming, and filtering data. As an example of a publication from this group, see this reference describing the early design of our data processing system: Ross, P.B., Song, J., Tsao, P.S. et al. Trellis for efficient data and task management in the VA Million Veteran Program. Scientific Reports 11, 23229 (2021). Position: In this position, you would be the system developer of the cloud-based MVP data management system that we have created called Trellis. Trellis stores the petabytes of sequence data contributed to the MVP by veterans and orchestrates its processing while keeping track of what programs were used, maintaining a detailed record of data provenance. To manage the enormous volumes of biomedical research data that the MVP generates, we have built Trellis in the Google Cloud Platform. The Trellis architecture takes advantage of many serverless cloud services, such as Cloud Functions, Dataproc, Cloud SQL, and Pub/Sub, to make a workflow which responds to the arrival of new data by initiating pipeline processes automatically and at scale. A production version of Trellis has already processed the whole genomic sequences of over 150,000 veterans and we plan to process at least as many more in the coming year. You would take the lead in keeping this production system running and optimized, and you would interface with our SecOps team which maintains that system in a FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds, each contributing their own expertise in managing and analyzing complex biomedical data . Other projects supported by this team include the NCI Human Tumor Atlas Network, Human BioMolecular Atlas Program, and the Stanford Metabolic Health Center. This position can be on-site in Palo Alto, fully remote, or hybrid. Duties include:<ul><li>Maintaining the smooth execution of our production Trellis system</li><li>Working with our Security Operations team to respond to any security incidents</li><li>Constructing queries to our graph database to gain insights from pipeline run data</li><li>Implementing population-level genomic analyses (GWAS, PCA) to verify data integrity</li><li>Designing and integrating novel bioinformatics pipelines into our Trellis system</li><li>Troubleshooting data flow in our state-driven Trellis architecture</li><li>Building containers for bioinformatics tools and integrating them with our internal data management system to automate workflows</li><li>Collaborating with researchers to explore solutions to relevant biological questions and maximize the value of our whole-genome sequencing dataset to the public </li></ul> - Other duties may also be assigned. DESIRED QUALIFICATIONS:<ul><li>Four-year degree in Genetics, Computer Science, Bioinformatics, Computational Physics, or a related field</li><li>Experience with biomedical data formats (FASTQ, FASTA, BAM, CRAM, Hail MatrixTable, et al.)</li><li>Comfortable in programming with Python</li><li>Experience with cloud computing, especially Google Cloud</li><li>Experience with databases, especially graph databases</li><li>Experience with big data technologies (e.g., BigQuery, Spark, Hail, Terra)</li><li>Familiarity with issues in computer data security</li><li>Familiarity with FedRAMP cloud security</li><li>Familiarity with FAIR principles of data management</li><li>Excellent verbal and written communication skills</li><li>An ability to independently grasp the objectives of research projects and assemble solutions from a range of technologies, standards, and approaches</li><li>A desire to learn new methods and technologies and to adapt to demands of fast-paced research </li></ul>EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Expertise in designing, developing, testing, and deploying applications.</li><li>Proficiency with application design and data modeling.</li><li>Ability to define and solve logical problems for highly technical applications.</li><li>Strong communication skills with both technical and non-technical clients.</li><li>Ability to lead activities on structured team development projects.</li><li>Ability to select, adapt, and effectively use a variety of programming methods.</li><li>Knowledge of application domain. </li></ul>CERTIFICATIONS & LICENSES:None PHYSICAL REQUIREMENTS :<ul><li>Constantly perform desk-based computer tasks.</li><li>Frequently sit, grasp lightly/fine manipulation.</li><li>Occasionally stand/walk, writing by hand.</li><li>Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. </li></ul> - 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):<ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>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.</li><li>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, . </li></ul>The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.<img src="https://www.jobg8.com/Tracking.aspx?zTrfLbIc2GNmyLorOZfQd9bY0WVdwQ%2f0f" width="0" height="0" />

Biomedical Cloud Engineer

Cross Country Locums

Types of cases: No neuro (heads or spines). Specialties include pediatrics, adult and geriatric for ENT, podiatry, ortho, urology, general surgery, plastics, vascular, cardiology, GYN, robotic, GI, ophthalmology. Locums are generally not required to cover OB unless there is significant background and interest from the locums provider. Is there call? Call is not required of locums providers but is available if there is interest. Schedule: The need is primarily weekday days for 8-12 hour shifts. However there are also evenings and night shifts. How many CRNA s and how many anesthesiologists onsite? The numbers on site vary by site and over the course of the day. The staffing ratios are one MD supervisor to 2-3 CRNAs. Is this supervised or medically directed? This is a supervised model. What type of EMR system do they use? Epic Health Connect<img src="https://www.jobg8.com/Tracking.aspx?TAU8GA1lVf%2fiW5fcStG%2bACdP4pJw56wlg" width="0" height="0" />

CRNA / Anesthesiology / California / Locum or Permanent / Certified Registered Nurse Anesthetist (CRNA) Job

Types of cases: No neuro (heads or spines). Specialties include pediatrics, adult and geriatric for ENT, podiatry, ortho, urology, general surgery, plastics, vascular, cardiology, GYN, robotic, GI, ophthalmology. Locums are generally not required to cover OB unless there is significant background and interest from the locums provider. Is there call? Call is not required of locums providers but is available if there is interest. Schedule: The need is primarily weekday days for 8-12 hour shifts. However there are also evenings and night shifts if there is interest from the provider. How many CRNA s and how many anesthesiologists onsite? The numbers on site vary by site and over the course of the day. The staffing ratios are one MD supervisor to 2-3 CRNAs. Is this supervised or medically directed? This is a supervised model. What type of EMR system do they use? Epic Health Connect<img src="https://www.jobg8.com/Tracking.aspx?v5YQRp1736FEEb%2bdinbEsT%2fdZqyAQokVb" width="0" height="0" />

Types of cases: No neuro (heads or spines). Specialties include pediatrics, adult and geriatric for ENT, podiatry, ortho, urology, general surgery, plastics, vascular, cardiology, GYN, robotic, GI, ophthalmology. Locums are generally not required to cover OB unless there is significant background and interest from the locums provider. Is there call? Call is not required of locums providers but is available if there is interest. Schedule: The need is primarily weekday days for 8-12 hour shifts. However there are also evenings and night shifts if there is interest from the provider. How many CRNA s and how many anesthesiologists onsite? The numbers on site vary by site and over the course of the day. The staffing ratios are one MD supervisor to 2-3 CRNAs. Is this supervised or medically directed? This is a supervised model. What type of EMR system do they use? Epic Health Connect<img src="https://www.jobg8.com/Tracking.aspx?Hh1KH2fshQCwk9lnkB38K%2bd%2f%2fqWW7M%2f7a" width="0" height="0" />

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer II to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Ashley's research focuses on applying genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Wheeler's research centers on integrating large-scale molecular and clinical data to understand the genetic basis of diseases and to develop novel therapeutic strategies. In this role, you will focus on genome, epigenome, and transcriptome (GET) analyses (specifically WGS, ATAC-seq, and RNA-seq) running the pipelines and tools that convert raw sequencing data into clean, analysis-ready results for the consortium. You will architect and operate scalable workflows that adhere to best practices, including WGS variant calling and joint genotyping, RNA-seq quantification and differential expression, and ATAC-seq peak calling and differential accessibility. You will adapt rigorous QC frameworks across modalities; produce integrated multi-omics analyses (e.g., linking genetic variation, chromatin accessibility, and gene expression through eQTL/caQTL/colocalization); and deliver clear visualizations, genome browser tracks, and interactive dashboards that enable collaborative interpretation across teams. Your work will span data engineering and software development: building reproducible pipelines with Nextflow and/or WDL/Cromwell, containerizing and testing them for reliable deployment on cloud and HPC environments; leveraging GCP services such as Cloud Storage and BigQuery; and designing robust schemas for omics metadata and results. You will apply software engineering best practices (version control, code review, automated testing, and documentation) while implementing data governance aligned with FAIR principles and secure handling of controlled-access human genomic data. As a key contributor to our public-facing portal (), you will help push the boundaries of biomedical data analytics to accelerate discovery and translation. You will collaborate closely with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust computational analyses and to communicate findings in reports, presentations, and publications. Working within our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. This is an 18-month fixed term position. This is a hybrid eligible position. Why Join Us?<ul><li>Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health.</li><li>Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine</li><li>Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases.</li><li>Enjoy a collaborative and stimulating work environment at one of the top universities in the world.</li></ul> If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include:<ul><li>Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.</li><li>Determine additional data collection and reporting requirements.</li><li>Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.</li><li>Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.</li><li>Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.</li><li>Serve as a resource for non-routine inquiries such as requests for statistics or surveys.</li><li>Test prototype software and participate in approval and release process for new software.</li><li>Provide documentation based on audit and reporting criteria to investigators and research staff.</li></ul> DESIRED QUALIFICATIONS:<ul><li>Transcriptomics and Gene Expression Analysis: Comprehensive RNA-seq workflows including read alignment (STAR, HISAT2), quantification (Salmon, Kallisto), QC (FastQC, MultiQC, RSeQC, Picard), normalization and differential expression (DESeq2, edgeR, limma), and pathway enrichment. Isoform analysis (StringTie) and fusion detection (STAR-Fusion) are a plus.</li><li>Advanced Genomics Data Analysis Expertise: Extensive experience with WGS data from raw FASTQ through variant calling, joint genotyping, annotation, cohort-level QC, and interpretation. Proficiency with BWA-MEM/BWA, GATK Best Practices (BQSR, HaplotypeCaller, joint calling, VQSR), DeepVariant, bcftools, and scalable VCF/BCF/CRAM handling.</li><li>Structural and Copy Number Variation: Experience with SV/CNV calling and QC (e.g., Manta, Delly, LUMPY, CNVnator), sample-level QC (coverage, duplication, contamination via VerifyBamID/Peddy/Somalier), and cohort metrics (Ti/Tv, call rate, Hardy-Weinberg).</li><li>Epigenomics and Chromatin Accessibility Analysis: Expertise in ATAC-seq processing and analysis, including alignment (BWA/Bowtie2), Tn5 shifting, peak calling (MACS2), replicate concordance (IDR), QC metrics (FRiP, TSS enrichment, nucleosome signal), differential accessibility (DiffBind/DESeq2), footprinting (HINT-ATAC), motif enrichment (HOMER/MEME), and browser tracks (bigWig/bigBed for IGV/UCSC). Regulatory element annotation using ENCODE/Roadmap resources.</li><li>Multi-omics Data Integration: Experience integrating WGS, ATAC-seq, and RNA-seq to identify regulatory relationships (eQTL/aseQTL/caQTL, colocalization), linking chromatin accessibility to gene expression and variant effects.</li><li>Advanced Python and R for Genomics: Deep proficiency in Python and R/Bioconductor with strong statistical and reproducible analysis skills.</li><li>Genomics Workflow Development: Proven experience designing, testing, and deploying complex workflows using Nextflow and/or WDL/Cromwell (or Snakemake) in cloud or HPC environments, with containerization (Docker, Singularity) and CI/CD for reproducibility.</li><li>Specialized Cloud and Database Skills: Hands-on experience with GCP (Cloud Storage, BigQuery), and genomics platforms (Terra, AnVIL). SQL skills and experience designing schemas for omics metadata/results; familiarity with gnomAD, ClinVar, Ensembl/RefSeq, dbSNP, UCSC.</li><li>Genome Browser and Visualization Expertise: Proficiency creating custom track hubs and sessions for IGV/UCSC; ability to produce publication-quality visualizations and interactive dashboards for large-scale genomics data.</li><li>Software Engineering Best Practices: Version control (Git/GitHub), code review, issue tracking, semantic versioning, packaging (setuptools/Poetry), automated testing (pytest), and comprehensive documentation (Sphinx/MkDocs).</li><li>Data Governance and FAIR Principles: Demonstrated experience with data lineage, provenance, audit trails, and adherence to FAIR; secure handling of controlled-access human genomic data (HIPAA/IRB compliance, DUAs), and submissions to dbGaP/GEO/SRA.</li><li>Cross-functional Collaboration and Communication: Proven ability to work with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust, actionable computational analyses.</li></ul> EDUCATION & EXPERIENCE (REQUIRED):<ul><li>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.</li></ul> KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Substantial experience with MS Office and analytical programs.</li><li>Excellent writing and analytical skills.</li><li>Ability to prioritize workload.</li></ul> CERTIFICATIONS & LICENSES:<ul><li>None</li></ul> PHYSICAL REQUIREMENTS :<ul><li>Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.</li><li>Occasionally use a telephone.</li><li>Rarely writing by hand.</li></ul>WORKING CONDITIONS:<ul><li>Some work may be performed in a laboratory or field setting.</li></ul>WORKING STANDARDS:<ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>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.</li><li>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, </li></ul> The expected pay range for this position is $108,002 to $128 . click apply for full job details<img src="https://www.jobg8.com/Tracking.aspx?%2f%2bszOVVEypqEdcggJMA2MOfDMZpiGSKre" width="0" height="0" />

Bioinformatics Engineer II (18 Month Fixed-Term) (Hybrid Opportunity)

Situated in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design.The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools.The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science.Duties include:<ul><li>Collect, manage and clean datasets.</li><li>Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.</li><li>Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.</li><li>Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.</li><li>Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.</li><li>Analyze data processes in documentation.</li><li>Collaborate with faculty and research staff on data collection and analysis methods.</li><li>Provide documentation based on audit and reporting criteria to investigators and research staff.</li><li>Communicate with government officials, grant agencies and industry representatives.</li></ul> - Other duties may also be assigned DESIRED QUALIFICATIONS:<ul><li>Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.</li><li>Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. </li><li>Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.</li><li>Experience and comfort in working within a UNIX/Linux environment.</li><li>Background in programming languages such as Python, R, Matlab, Perl.</li><li>Good communication and team skills and fluency in both spoken and written English.</li><li>Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.</li><li>A background in oncology and/or immunology is preferred. </li><li>Knowledge of Monte Carlo based statistical methods.</li><li>Background in cancer biology.</li><li>Familiarity with predictive modeling and machine learning.</li><li>Skills in machine learning and data analysis software.</li></ul> EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Substantial experience with MS Office and analytical programs.</li><li>Strong writing and analytical skills.</li><li>Ability to prioritize workload.</li></ul> PHYSICAL REQUIREMENTS :<ul><li>Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.</li><li>Occasionally use a telephone.</li><li>Rarely writing by hand.</li></ul> - 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:Some work may be performed in a laboratory or field setting.WORK STANDARDS:<ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>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.</li><li>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, .</li></ul> The expected pay range for this position is $80,148 to $99,773 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. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. 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 the job. <img src="https://www.jobg8.com/Tracking.aspx?v664xeHPeooPuIX86ZyOvtcP7MAZiJ6Om" width="0" height="0" />

Bioinformatician/Research Data Analyst 1

Explore 72+ Ophthalmology bioinformatics core director in California this October. Find roles across top companies and apply now to boost your career.

72 ophthalmology bioinformatics core director jobs IN California

Ophthalmology Bioinformatics Core Director

Biomedical Cloud Engineer

CRNA / Anesthesiology / California / Locum or Permanent / Certified Registered Nurse Anesthetist (CRNA) Job

CRNA / Anesthesiology / California / Locum or Permanent / Certified Registered Nurse Anesthetist (CRNA) Job

CRNA / Anesthesiology / California / Locum or Permanent / Certified Registered Nurse Anesthetist (CRNA) Job

Bioinformatics Engineer II (18 Month Fixed-Term) (Hybrid Opportunity)

Bioinformatician/Research Data Analyst 1