bioinformatician/research data analyst 1 Jobs in California

bioinformatician/research data analyst 1

research data analyst 1 Jobs in California

research data analyst 1

data scientist

Stanford University

The Pritchard lab in the Genetics Department at Stanford University is seeking a Staff Scientist (Software Developer 2) to conceptualize, develop, supervise, and implement novel computational approaches for genomics. The successful applicant must have experience in the main areas of application - functional or single cell genomics and/or statistical genetics as well as strong experience in modern computational statistics and machine learning. This position will be on-site. The successful applicant will have broad responsibility for providing technical direction on multiple projects conducted by the lab as well as leading projects of their own. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing of code, and preparation of scientific manuscripts and revisions. Strong communication skills (speaking and writing) are essential. The work will require innovative programming and analysis skills with an emphasis on algorithmic development for machine learning and/or statistical computing. Mentoring trainees on technical aspects of their project will be an essential part of this job. Duties include:<ul><li>Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently.</li><li>Supervise and mentor PhD students and postdocs, as necessary, working on all phases of research projects.</li><li>Engage in long-term strategic planning.</li><li>Troubleshoot and resolve complex technical problems.</li><li>Lead projects, as necessary, for special systems and application development in areas of complex problems.</li><li>Contribute to manuscript preparation and revisions as lead- or co-author.</li><li>Contribute to grant preparation.</li><li>Participate in scientific meetings and journal clubs.</li></ul> - Other duties may also be assigned. DESIRED QUALIFICATIONS:The successful candidate must have a proven track record of developing state-of-the-art computational methods for data analysis, going all the way from conceptualization and theoretical development to implementation, testing, data analysis, and manuscript preparation. They must have outstanding technical skills in machine learning and/or statistical methods with experience in developing new approaches.They must have training and research experience (preferably at postdoctoral level) in at least one of the following areas of application: functional genomics, single cell genomics, statistical genetics. 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>Effective 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:<ul><li>May work extended hours, evening and weekends.</li><li>The successful candidate will work in-person daily on the Stanford University campus.</li></ul> The expected pay range for this position is $131,992 to $160,555 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 by submitting 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. 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. 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><img src="https://www.jobg8.com/Tracking.aspx?v664xeHPeorlLGbhgGKmuNQFsXi4Yb%2fem" width="0" height="0" />

Staff Scientist

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

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)

Stanford University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions.About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data.About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs.The expected pay range for this position is $157,945 to $177,385 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. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills.CERTIFICATIONS & LICENSES:NonePHYSICAL REQUIREMENTS :• Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - 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.<img src="https://www.jobg8.com/Tracking.aspx?qn2dWMJXE5OUYhjpmgXExjIqwGbtR5Eaq" width="0" height="0" />

ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term)

The Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling.We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression.This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational research environment.Duties include:<ul><li>Assess user needs and requirements.</li><li>Design and develop applications that may involve sophisticated data manipulation.</li><li>Maintain and update existing programs.</li><li>Troubleshoot and solve technical problems.</li><li>Create programs to meet reporting and analysis needs.</li><li>Design and implement user and operations training programs.</li><li>Document changes in software for end users.</li><li>Follow team software development methodology.</li><li>Serve as technical resource with respect to applications.</li><li>Support research translation, licensing, and commercialization strategy, including coordination with venture capital firms and Stanford's innovation ecosystem.</li><li>Assist with scientific writing, data visualization, and manuscript preparation.</li></ul> - Other duties may also be assigned. DESIRED QUALIFICATIONS:<ul><li>Bachelor's degree or higher in Computer Science, Bioinformatics, Biomedical Engineering, Management Science & Engineering, or a related field.</li><li>Strong background in data science, or computational biology, especially in handling single-cell, spatial transcriptomics, or imaging data.</li><li>Strong background in automatic data analyses tool development and deployment, distributed systems and others</li><li>Proficiency in Python, R, or other scientific programming languages, with experience in software development and data pipeline automation.</li><li>Experience with cloud computing platforms (e.g., AWS, GCP) and collaborative development tools (e.g., GitHub, Docker).</li><li>Familiarity with scientific publication processes, manuscript preparation, and figures.</li><li>Demonstrated ability to assess user needs, troubleshoot complex technical issues, and design user-friendly, scalable applications.</li><li>Knowledge of research translation and commercialization strategy, including startup planning and engagement with venture capital firms.</li><li>Experience preparing research presentations, grant proposals, or supporting industry/academic collaborations.</li><li>Ability to work independently and collaboratively across interdisciplinary teams in a fast-paced academic or startup-like environment.</li><li>Excellent communication and organizational skills, with attention to detail and strong documentation practices.</li></ul> 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):<ul><li>Working knowledge of latest software and design standards.</li><li>Ability to define and solve logical problems for technical applications.</li><li>Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.</li><li>Ability to recognize and recommend needed changes in user and/or operations procedures.</li><li>Basic knowledge of software engineering principles.</li><li>Strong knowledge of at least one programming language.</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 expected pay range for this position is $107,423 to $133,600 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. 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?v664xeHPeooweTIHTt2LC92EO%2bPlVWw6m" width="0" height="0" />

Software Developer 1

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

Pride Global

<div>
 
 
 Job Details:
 
 Title:&nbsp;Sr. Data Analyst - Gaming Analytics
 
 Client:&nbsp;Fortune 10&nbsp;Technology Company
 
 Location:&nbsp;Remote (U.S.)
 
 Duration:&nbsp;12 Months (Possible Extension)
 
 Rate: $65 to $75/hr W2&nbsp;
 
 
 About the Role
 
 We are seeking an experienced&nbsp;Data Analyst IV&nbsp;to support a&nbsp;Fortune 5 technology client&rsquo;s&nbsp;immersive and gaming experiences division. This role focuses on empowering developers and studios with&nbsp;data-driven insights&nbsp;to optimize player engagement, retention, and monetization. The ideal candidate will have strong analytical and technical expertise, paired with hands-on experience in&nbsp;gaming analytics, live-ops, or&nbsp;digital economies.
 
 This is a&nbsp;remote, long-term contract opportunity&nbsp;with a leading global technology brand driving innovation in interactive entertainment.
 
 Key Responsibilities
 
 <ul>
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 Partner with game studios to analyze in-game behavior and player lifecycle data.
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 Develop and maintain dashboards, KPIs, and visual reports to track game performance.
 </li>
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 Conduct A/B testing and statistical analysis to measure feature impact and user engagement.
 </li>
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 Translate data insights into actionable recommendations for design, monetization, and player retention strategies.
 </li>
 <li>
 Collaborate with cross-functional teams to establish data-driven best practices across gaming operations.
 </li>
 <li>
 Ensure data accuracy, quality, and compliance with internal analytics standards.
 </li>
 </ul>
 Must Have Qualifications
 <ul>
 <li>
 Bachelor&rsquo;s degree in&nbsp;Data Science, Computer Science, Statistics, Mathematics, or a related technical field.
 </li>
 <li>
 5+ years&nbsp;of experience in&nbsp;data analytics,&nbsp;data science, or&nbsp;game analytics.
 </li>
 <li>
 Proficiency in&nbsp;SQL&nbsp;and&nbsp;Python&nbsp;or&nbsp;R&nbsp;(must be demonstrated in professional experience).
 </li>
 <li>
 Expertise in&nbsp;data visualization,&nbsp;dashboard creation, and&nbsp;A/B testing.
 </li>
 <li>
 Strong analytical and communication skills, with the ability to translate data into business insights.
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 Experience with&nbsp;live-ops economies,&nbsp;game publishing, or&nbsp;digital economy modeling.
 </li>
 <li>
 Background in&nbsp;VR/AR,&nbsp;interactive entertainment, or&nbsp;gaming industry analytics.
 </li>
 <li>
 Familiarity with player retention, engagement metrics, and monetization frameworks.
 </li>
 </ul>
 &nbsp;
 <ul>
 <li>
 Experience in advertising or online advertising.
 </li>
 <li>
 Ability to manage simultaneous projects in a fast-paced, cross-functional environment.
 </li>
 <li>
 Ability to simplify complex processes to create internal and external efficiencies.
 </li>
 <li>
 Ability to work independently and autonomously.
 </li>
 </ul>
 
 Typical Day in the Role
 
 <ul>
 <li>
 Daily schedule: M-F, standard hours with flexibility for events or cross-time zone collaboration.
 </li>
 <li>
 Interactions: Highly collaborative with a variety of teams and stakeholders.
 </li>
 <li>
 Work Environment: Fast-paced, dynamic, and exposure to high-profile industry events.
 </li>
 <li>
 Flexibility: Potential for remote work and extension/conversion based on performance.
 </li>
 </ul>
 
 Candidate Requirements
 
 <ul>
 <li>
 Leadership Principles: Insist on highest standards, delivers results, and ownership.
 </li>
 <li>
 
 Top 3 Must-Have Hard Skills:
 
 <ol>
 <li>
 
 Bachelor&rsquo;s degree in Marketing or related field.
 
 </li>
 <li>
 
 5-7+ years marketing event experience with cross-functional program execution.
 
 </li>
 <li>
 
 Willingness to travel domestically and internationally.
 
 </li>
 </ol>
 </li>
 </ul>
 
 Benefits Info
 
 
 &nbsp;Pride Global offers eligible employee&rsquo;s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life &amp; disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
 
 
 
</div>

Sr. Data Analyst - Gaming Analytics

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