bioinformatics analyst

Stanford University

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

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 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)

united arab emirates university

Job Description The Khalifa Center for Genetic Engineering and Biotechnology is seeking a highly motivated and innovative Assistant Research Professor in Bioinformatics and Population Genetics. The successful candidate will contribute to cutting-edge research in genetic engineering, focusing on population genetics, evolutionary biology, and bioinformatics methodologies.Minimum Qualification Ph.D. in Bioinformatics, Population Genetics, Genomics, or a related field. - Proven experience in bioinformatics analysis, particularly in population genetics or evolutionary studies. - Proficiency in programming languages such as R, Python, or Perl, and familiarity with bioinformatics tools and databases. - Strong understanding of statistical genetics, evolutionary theory, and relevant methodologies. - Excellent communication skills, with a track record of publishing research and presenting findings. - Ability to work collaboratively in a multidisciplinary research environment. - Experience in mentoring students or junior researchers is preferred.Preferred Qualification Ph.D. in Bioinformatics, Population Genetics, Genomics, or a related field. - Proven experience in bioinformatics analysis, particularly in population genetics or evolutionary studies. - Proficiency in programming languages such as R, Python, or Perl, and familiarity with bioinformatics tools and databases. - Strong understanding of statistical genetics, evolutionary theory, and relevant methodologies. - Excellent communication skills, with a track record of publishing research and presenting findings. - Ability to work collaboratively in a multidisciplinary research environment. - Experience in mentoring students or junior researchers is preferred.Expected Skills Key Responsibilities: - Conduct independent and collaborative research in bioinformatics and population genetics, contributing to the center's strategic research goals. - Develop and implement bioinformatic tools and pipelines for analyzing genomic data, including next-generation sequencing (NGS) data. - Analyze genetic variation within and between populations, applying statistical methods to interpret population structure, gene flow, and evolutionary dynamics. The candidate must very well verse on genome structure including transposons. - Collaborate with interdisciplinary teams to integrate bioinformatics with experimental research in genetics and biotechnology. - Mentor graduate students and junior researchers, providing guidance in research methodologies, data analysis, and scientific writing. - Publish research findings in high-impact peer-reviewed journals and present at national and international.

Research Assistant Professor in Bioinformatics and Population Genetics

Research Data Analyst 1 - Sheltzer Lab - Onsite Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. The research data analyst will work with the Sheltzer Lab on a cutting-edge project analyzing the genomic aberrations found in cancer. The Sheltzer Laboratory is broadly interested in identifying the genetic changes that occur during tumorigenesis and influence drug sensitivity, metastasis, and patient outcomes. We apply a number of high-throughput approaches, including CRISPR screening, RNA- Seq, single-cell sequencing, and copy number profiling, to generate comprehensive data on cancer physiology in vitro and in vivo. Through this work, we seek to improve our understanding of the genetic drivers of aggressive tumors and identify cancer-specific therapeutic vulnerabilities. We are particularly interested in uncovering the role of aneuploidy, or chromosome copy number changes, in cancer-related processes. We are looking to hire a computational biologist who will work closely with other scientists in the Sheltzer Lab to aid in the design and analysis of high-throughput experimental results. Initial responsibilities will include conducting copy number analysis on cancer specimens, identifying patterns of transcriptional alterations following drug treatments, and contributing to the analysis of CRISPR screening data. 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. </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> Proficiency in Python, R, Linux, and command line tools. </li><li> A strong background in genomics, including WGS, RNA-Seq, and single-cell approaches. </li><li> Excellent oral and written communication skills including the ability to effectively generate data visualizations suitable for presentation and publication. </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 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. <img src="https://www.jobg8.com/Tracking.aspx?1X9KYdWi%2f6HxDif1I%2b9efHwMDv2cpqQJx" width="0" height="0" />

Research Data Analyst 1

Teacher of Arts (High school) Philosophy of the Arts (HKU)

<div>
 The University of Hong Kong
 
 
 Apply now
 
 Ref.:
 
 533322
 
 
 
 Work type:
 
 Full-time
 
 
 
 Department:
 
 Centre for PanorOmic Sciences (22200)
 
 
 
 Categories:
 
 Executive / Technical / Support
 
 
 Hong Kong
 
 
 
 Bioinformatics Manager (at the rank of Technical Manager) in Bioinformatics Core of the Centre for PanorOmic Sciences (CPOS)
 
 (Ref.: 533322) (to commence as soon as possible, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance)
 
 
 
 Come and Join Us
 
 
 
 Centre for PanorOmic Sciences (CPOS) is an academic research-support centre embracing multi-omics and big data biomedical research under the LKS Faculty of Medicine. CPOS core laboratories host state-of-the-art technology platforms with sophisticated equipment supported by over 75 dedicated members. Welcome to visit https://cpos.hku.hk to explore more.
 
 
 
 The Role
 
 
 
 <ul>
 <li>
 Assist the Core Manager with daily operations, strategic planning, and service development
 </li>
 <li>
 Lead and deliver bioinformatics analyses for high-throughput sequencing and multi-omics projects
 </li>
 <li>
 Supervise, train, and mentor junior bioinformaticians and research staff
 </li>
 <li>
 Develop, maintain, and optimise reproducible analysis pipelines and workflows
 </li>
 <li>
 Provide expert consultation to researchers on study design, analysis, and data interpretation
 </li>
 <li>
 Coordinate with other CPOS cores to ensure integrated and efficient service delivery
 
 
 </li>
 </ul>
 
 Qualifications And Qualities
 
 
 
 <ul>
 <li>
 Ph.D. degree in Bioinformatics, Computer Science, Biological Sciences or related disciplines
 </li>
 <li>
 At least 10 years' relevant experience, including a minimum of 3 years in a supervisory or team-lead role
 </li>
 <li>
 Background or experience in a bioinformatics core facility, service platform, or academic setting is an advantage
 </li>
 <li>
 Strong technical skills in Python, R, Linux/Unix, workflow management, and reproducible research practices
 </li>
 <li>
 Expertise in one or more of the following areas: genomics, transcriptomics, single-cell, or epigenomics data analysis
 </li>
 <li>
 Excellent communication skills, proactive, independent and enjoy teamwork
 </li>
 <li>
 Willing to meet new challenges and able to meet tight deadlines
 
 
 </li>
 </ul>
 Shortlisted candidates will be invited to attend an interview.
 
 
 A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, continuing professional development, and free access to on-campus gyms and libraries.
 
 
 The University only accepts online application for the above post. Applicants should apply online at the University&rsquo;s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
 
 October 31, 2025
 
 , or until the post is filled, whichever is earlier.
 
 
 
 Advertised:
 
 Oct 8, 2025 (HK Time)
 
 
 
 Applications close:
 
 Oct 31, 2025 (HK Time)
 
 
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</div>

Bioinformatics Manager (at the rank of Technical Manager) in Bioinformatics Core

Virginia Commonwealth University

<div><div><div><h3 class="jobSectionHeader">Lead Bioinformatics Data Engineer, SOM, Stravitz-Sanyal Institute for Liver Disease
</h3><div><div><ul><li>45000976
</li></ul></div><div><ul><li>907 Floyd Avenue, MCV Main Campus, Virginia, United States, 23284
</li><li>907 Floyd Avenue, VCU Main Campus, Virginia, United States, 23284
</li></ul></div><div><ul><li>Research
</li></ul></div><div><ul><li>Staff
</li></ul></div><div></div><div><ul><li>School Of Medicine MBU</li></ul></div></div><div> 
</div><div>Benefits: All full-time university staff are eligible for VCU&rsquo;s robust benefits package that includes comprehensive health benefits, paid annual and holiday leave granted up front, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.

Unit: SOM

Department: Stravitz-Sanyal Institute for Liver Disease

Virginia Commonwealth University (VCU) School of Medicine is a premier academic medical center located in the heart of Richmond. Accounting for almost half of VCU&rsquo;s sponsored research, the School of Medicine is internationally recognized for patient care and education. All full-time university staff are eligible for VCU&rsquo;s generous benefits package that includes competitive health benefits, paid annual and holiday leave, retirement planning and savings options, tax-deferred annuity and cash match programs, Virginia Retirement System (VRS), professional development &amp; certifications, tuition waiver, parental leave, caregiving leave and community service leave. Learn more about VCU&rsquo;s benefits here: https://hr.vcu.edu/careers-at-vcu/why-work-at-vcu/

Position summary:

Join the Stravitz-Sanyal Institute on the ground floor of an ambitious program to build multi-omics resources for the global liver research community. You will work alongside luminaries and key opinion leaders in the fields of liver and metabolic health to accelerate and translate discoveries in disease biology. You will be the principal engineer who architects, implements, and evangelizes the data engineering stack that turns multimodal data into analysis-ready assets, powering institutional and global research efforts. The role combines deep hands-on work with technical leadership: you will set standards, guide architecture, and mentor peers.

Key responsibilities:
<ul>
<li>Strategic architecture &ndash; Define long-term data storage strategies and governance patterns that guarantee usability and scalability.</li>
<li>Pipeline engineering &ndash; Design and maintain ETL/ELT and workflow-managed pipelines (e.g., Nextflow, Snakemake) that ingest, transform, and harmonize multi-format data.</li>
<li>Cloud &amp; HPC enablement &ndash; Optimize processing on HPC and cloud infrastructure while remaining interoperable.</li>
<li>Data products &amp; APIs &ndash; Collaborate closely with bioinformatics scientists to deliver versioned data products with programmatic access, which feed visualization tools and support statistical workflows.</li>
<li>Quality, security &amp; compliance &ndash; Institute robust validation, provenance capture, and access-control measures. Align with institutional policies.</li>
<li>Technical leadership &ndash; Establish coding standards, CI/CD, infrastructure-as-code, and mentor junior engineers and analysts. Be a champion for a reproducible research culture.</li>
<li>Technology radar &ndash; Continuously evaluate emerging technologies that can support the mission of the Institute.</li>
</ul>
Qualifications:

Minimum Hiring Standards/Qualifications:
Education/Experience &ndash; MSc/PhD in bioinformatics, computer science or related field and<ul><li> 5 years building production pipelines for large-scale omics and biomedical data.</li>
<li>Programming &ndash; Expert in Python (PyData), and SQL. R is a strong plus.</li>
<li>Workflow &amp; DevOps &ndash; Proven experience with workflow DSLs, Docker/Singularity, CI/CD, and IaC.</li>
<li>Cloud &ndash; Hands-on delivery with major cloud platforms.</li>
<li>Bioinformatics expertise &ndash; Deep familiarity with NGS, spatial omics, and imaging formats; experience integrating multi-omics datasets into harmonized schemas. Experience with spatial omics is a significant plus.</li>
<li>Communication &ndash; Ability to translate complex concepts for cross-disciplinary teams and influence technical direction.</li>
<li>Excellent analytical and design skills.</li>
<li>Detail oriented with advanced project management skills.</li>
<li>Good communication and presentation skills.</li>
<li>Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a staff member at VCU.</li>
</ul>
Work environment &amp; benefits
<ul>
<li>Impactful, greenfield build that will accelerate discovery in human health. Close collaboration with world-class clinicians and scientists.</li>
<li>Flexible work model: Richmond-based on-site/hybrid encouraged; open to remote. Progress is the key expectation.</li>
<li>Collaborative culture committed to mentorship and professional growth.</li>
<li>Comprehensive benefits package and competitive compensation.</li>
</ul>
Additional Information:
ORP Eligible: - YES 
Hours / weeks - 40 hours weekly 
Working Title Details: Lead Bioinformatics Data Engineer

VCU Job Title: Sr. IT Architect Engineer

University Code: (24264Y-24266Y) 
University Job Family: Information Technology

The position will remain open until a candidate is selected. 

Salary Range: $120,000 - $160,000 /commensurate with experience

FLSA Exemption Status: EXEMPT

ORP Eligible: YES

Flexible Work Arrangement: HYBRID

Contact Information: 
Contact Name: Demetria Patterson 
Contact Email: demetria.patterson1@vcuhelth.org</div></div></div></div>

Lead Bioinformatics Data Engineer, SOM, Stravitz-Sanyal Institute for Liver Disease

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