Bioinformatics Jobs

Paid bioinformatics annotator internships are available at MindSpec, Inc. We are currently developing additional interactive database modules for AutDB/SFARI Gene. Interns will be trained to extract data from scientific literature using controlled vocabularies. Qualifications: We are seeking talented and motivated individuals interested in working in a multi-disciplinary team. Responsibilities include participating in the annotation of disease-related information for data mining and visualization. The position offers an opportunity to work in the rapidly evolving area of multi-factorial disease biology in a flexible, dynamic research environment. Applicants must have or be pursuing an B.S. degree or higher in Bioinformatics/Molecular Biology/Neurobiology, or related field, with a strong knowledge of genetics, animal models or neuroimaging. Applicants should also have excellent written and oral communication skills; display good ability to work with others, and the ability to conduct assignments on multiple projects under tight deadlines. How to Apply: Please send cover letter and curriculum vitae to job@mindspec.org.

Bioinformatics Analyst V - CGR Job ID: req4334 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, Rockville, MD 20850 USA The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION We are seeking an experienced senior bioinformatics professional to join the Cancer Genomics Research Laboratory (CGR), located at the National Cancer Institute (NCI) Shady Grove campus in Rockville, MD. CGR is operated by Leidos Biomedical Research, Inc., and collaborates with the NCI’s Division of Cancer Epidemiology and Genetics (DCEG)—the world’s leading cancer epidemiology research group. Our scientific team leverages cutting-edge technologies to investigate genetic, epigenetic, transcriptomic, proteomic, and molecular factors that drive cancer susceptibility and outcomes. We are deeply committed to the mission of discovering the causes of cancer and advancing new prevention strategies through our contributions to DCEG’s pioneering research. Our team of CGR bioinformaticians supports DCEG’s multidisciplinary family- and population-based studies by working closely with epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program. We provide end-to-end bioinformatics support for genome-wide association studies (GWAS), methylation, targeted, whole-exome, whole-transcriptome and whole-genome sequencing along with viral and metagenomic studies from both short- and long-read sequencing platforms. This includes the analysis of germline and somatic variants, structural variations, copy number variations, gene and isoform expression, base modifications, viral and bacterial genomics, and more. Additionally, we advance cancer research by integrating latest technologies such as single cell, multiomics, spatial transcriptomics, and proteomics, in collaboration with the Functional and Molecular and Digital Pathology Laboratory groups within CGR. We extensively analyze large population databases such as All of Us, UK Biobank, gnomAD and 1000 genomes to inform and validate GWAS signals, study the association between genetic variation and gene expression, protein levels, metabolites and develop polygenic risk scores across multiple populations. Our bioinformatics team develops and implements sophisticated, cloud-enabled pipelines and custom data analysis methodologies, blending traditional bioinformatics and statistical approaches with cutting-edge techniques like machine learning, deep learning, and generative AI models. We prioritize reproducibility through the use of containerization, workflow management tools, thorough benchmarking, and detailed workflow documentation. Our infrastructure and data management team works closely with researchers and bioinformaticians to maintain and optimize a high-performance computing (HPC) cluster, provision cloud environments, and curate and share large datasets. The successful candidate will provide dedicated analytical support to CGR and contribute to cancer research in areas such as germline and somatic variant analysis consisting of SNVs and indels, structural variant, copy number variations and microsatellite detection, followed by variant annotation, filtering and association testing in familial and non-familial datasets. The Bioinformatics Analyst V will also develop and maintain software for the analysis of Human Papillomavirus (HPV) typing assays. They will create new, state-of-the-art, accelerated pipelines and leverage strong data analysis and visualization skills to support downstream analytics, enabling interpretation and the derivation of meaningful biological insights. The analyst will integrate publicly available bioinformatics tools, genomic databases, and large biobanks with internal datasets, enabling independent validation of results across diverse tissues and cancer types. They will work closely with DCEG investigators and CGR scientists, operating with a high degree of independence and demonstrating leadership in project execution. This role involves handling large-scale sequencing data, developing robust pipelines, performing downstream analytical modeling, and collaborating with interdisciplinary teams. KEY ROLES/RESPONSIBILITIES • Develop, implement, benchmark and optimize analytical pipelines for germline and somatic variant analysis from short- and long-read whole-genome sequencing (WGS). Ability to interpret variant calling results, encompassing SNP/indel, microsatellite, copy number and structural variant analysis. • Apply statistical approaches to annotate, filter and interpret variants in diverse genetic and genomic datasets and integrate findings with clinical and multi-omics data. Maintain and develop assays for HPV typing using Ion Torrent platform. • Review and QC genomic datasets, perform downstream statistical analysis using phenotypic and clinical metadata. • Demonstrate strong teamwork and communication skills, with the ability to effectively learn and apply new bioinformatics techniques and resources. • Maintain and document bioinformatics software and scripts to ensure reproducibility and scalability. • Participate in group meetings, present findings, and contribute to publications resulting from research projects. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a Master’s degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, computer science, computational biology or related field. Foreign degrees must be evaluated for U.S. equivalency • In addition to educational requirements, a minimum of ten (10) years of related analytical and bioinformatics pipeline development experience. • Strong experience analyzing ultra-deep genomic datasets from fresh-frozen and FFPE specimens using novel approaches and utilizing accelerated and parallel computing. • Well-versed with variant benchmarking using the latest community standards. • The ability to construct practical computational pipelines for data parsing, quality control, secondary and tertiary analysis requiring in-depth visualization and statistical analysis for large-scale genetic or genomics datasets. • Strong experience analyzing human high-throughput sequencing data (WGS, WES, targeted sequencing) and HPV typing in cancer datasets. • Experience in analysis of family-based trio datasets from cancer epidemiological studies to discover small and large de novo variants. Prepare detailed reports and present to the investigators. Strong programming skills in R, Python and Java with experience in RStudio and Jupyter Notebooks. • Demonstrable shell scripting skills (e.g., bash, awk, sed). • Experience working in a Linux environment (especially a HPC environment or cloud). • Strong problem solving and ability to tackle and solve complex problems independently. • Ability to obtain and maintain a security clearance. PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • A PhD in bioinformatics, computer science, computational biology or related field. • Proficiency with core statistical and bioinformatics methods (linear regression, logistic regression, machine learning) and sophisticated data visualization. • Experience in standard genetic association analysis software like PLINK, SAIGE, regenie. • Expert in R, Python, Java and Bash scripting, and GitHub for code development. Extensive use of markdown documents for sharing and documenting the work. • Knowledge of tools to query and investigate cancer genomics with publicly available data sources (such as dbGaP, TCGA,1000 Genomes, gnomAD) and large Biobanks (AoU and UKB). • Experience working in Linux-based environments and using HPC (high-performance computing) clusters. • Strong experience in genomic data visualization tools such as IGV. • Strong understanding of algorithmic efficiency and working on high performance clusters for supporting large and diverse datasets. • Expert in environment/dependency management tools (e.g. pip, venv, conda, renv) and workflow management systems such as Snakemake, Nextflow and WDL. • Proficiency in using containerization with Docker/Singularity, JIRA for project management. • Proficiency in software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. • Strong analytical and problem-solving skills with attention to detail. • Strong communication skills, and an ability to work both independently and collaboratively. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 145,800.00 - 250,625.00 The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. Bioinformatics, US Operations – the role As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Operations group, part of the Research and Development organization, in Advanced Diagnostics based in Marlborough, MA. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Operations group supports, hones, and executes the processes defined by our Engineering and Lab Operations groups with emphasis on compliance and continuous improvement. While coupled tightly to regulation through standards in validation, documentation, and data retention, the group is an integral part of the development cycle of our analysis workflows and visualization. This position is 100% remote and the professional must be located in the US. • Execute and improve sequence analysis workflows and automation • Track, troubleshoot and mitigate issues encountered in processing production samples • Assist in planning and development of solutions to recurring issues to be merged back into development branch maintained by the Engineering group • Develop web-based results display and dashboards for clinical geneticists, medical directors and operations lab personnel providing clarity in our process • Generate, wrangle, merge and glean information from varied and complex data sets Design and implementation of RESTful APIs linked to various systems including LIMS, AWS job runners and other systems necessary for data processing and execution • Design and perform validation, testing, and production deployment of systems and software to standardize processes across all Quest Diagnostics genetic testing labs • Design and perform validation analysis for new genomic testing products. • Support production day-to-day operations • Write and maintain production documentation for compliance and supportability of all bioinformatics processes in production environment • Work directly with medical/quality/compliance to identify, track, resolve and report on any relevant quality-related issues • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing • Perform LIS support duties (maintain database for user, tests, clients….) • Support interface, integration, and testing projects • Utilize a Software Development Life Cycle documentation procedure • Be an active team player and support the group • Accept input on solutions from other colleagues and teams • * 5 years experience using formal programming and scripting languages • 5 years experience working on a Linux command-line to process, parse, and merge varied data sets • 2 years experience working with web services and implementing API communications (REST, SOAP, etc.) • 3 years experience in a distributed HPC environment (cluster, cloud) • Knowledge and understanding of genomics, next-generation sequencing, and bioinformatics • Experience developing and testing software • Experience with source control in a development, testing, and production environment • Automated testing experience; CI/CD experience preferred • Knowledge of CAP documentation requirements a plus • Experience communicating technical results and data is desirable Current tech stack experience is a plus Examples: • Programming Languages: Python, PERL, Groovy, javascript, terraform • Web Frameworks: Python Flask, React Native, Bootstrap • Environments: R Statistical Language, iPython, Jupyter • Visualization: Plotly, matplot lib, ggplot2/tidyverse, Tableau, d3.js • Database: SQL (e.g., postgress, MySQL), MongoDB • Cloud Computing: AWS • Infrastructure management: terraform • Pipeline Workflow Manager: Nextflow • Source Control: Git • CI/CD: Gitlab, AWS CDK • Containerizing: Docker • Microsoft UI: Access, VBA, Macros Education: Bachelor’s Degree - Required Master’s Degree or PhD - Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Mission or Goal of Unit: Virginia Commonwealth University (VCU) is a premier urban, public research university with a diverse student body in historic Richmond, Virginia. VCU enrolls more than 28,000 students on two campuses. The Center for Biological Data Science (https://cbds.vcu.edu) in VCU Life Sciences is a Chartered Research Center and focal point for bioinformatics instruction at VCU. The Center consists of 12 full-time, affiliate, and adjunct faculty and staff. The unit administers several academic programs, including a Bachelor of Science in Bioinformatics and Master's degree programs for thesis (MS in Bioinformatics) and non-thesis (Professional MS in Bioinformatics) seeking students. Beginning in the Fall of 2025, the Bioinformatics programs will reside in the new School for Life Sciences and Sustainability in the College of Humanities and Sciences (https://chs.vcu.edu/). The School for Life Sciences and Sustainability comprises more than 60 full-time faculty who support undergraduate and graduate degrees in Biology, Environmental Studies, Integrative Life Sciences, as well as Bioinformatics. Chief Purpose of this position in support of the above mission or goal. The Center for Biological Data Science is seeking applicants for the position of Assistant Professor (non-tenure eligible) whose expertise in bioinformatics will contribute to the teaching and service missions of the program. The core mission of the Center for Biological Data Science focuses on bioinformatics instruction and research. This is a unique and exciting opportunity for the selected individual to be part of a growing bioinformatics program and an interdisciplinary faculty. Position Responsibilities: This 9-month faculty position will be housed in the Center for Biological Data Science and report to the Director. This position has both teaching (80% effort) and service (20% effort) effort allocations. Primary responsibilities for instruction will support the existing bioinformatics curriculum (e.g., courses such as Introduction to Scientific Computing or Introduction to Bioinformatics) and develop upper-level courses aligned with the individual’s expertise. Required Qualifications: • Ph.D. in Bioinformatics, Computer Science, Biology, Molecular Biology, Evolution, Ecology, Statistics, Mathematics, or other discipline salient to bioinformatics. • Fluency in conducting bioinformatics analyses. • Excellent interpersonal skills and ability to communicate effectively and positively in a team environment. • Broad understanding of skills salient to teaching core content in bioinformatics (data collection & analysis, and hands-on education). • Demonstrated experience working in and fostering an environment of respect, professionalism and civility with a population of faculty, staff, and students from various backgrounds and experiences, or a commitment to do so as a faculty member at VCU. Preferred Qualifications • Experience teaching at the undergraduate level (or equivalent). • Fluency in the R or Python programming language for data analysis. • Development experience with scripting languages for bioinformatics analyses. • Demonstrated ability to manage multiple work priorities, meet deadlines, and work independently and cooperatively as a team member. Application Instructions Applications should include a cover letter, curriculum vitae, teaching statement, and contact information for three references. Questions about the position should be directed to the search committee chair, Dr. Allison Johnson, at aajohnson@vcu.edu. Position Type: Teaching & Research Faculty Full time equivalent: 100% Tenure: Ineligible Rank: Assistant Professor Months: 9 Department: Center for Biological Data Science, VCU Life Sciences Salary: Up to $70,000, commensurate with experience Contact Information: Contact Name: Allison Johnson Contact Email: aajohnson@vcu.edu Contact Phone:

A Bioinformatics Research Scientist position is immediately available under the supervision of Dr. Zhaoming Wang in the Department of Epidemiology and Cancer Control at St. Jude Children’s Research Hospital. Wang Lab is seeking a talented and highly motivated data scientist to apply established and innovative approaches towards analyzing multi-omics data to discover potential biomarkers for risk of chronic health conditions including second cancers among long-term survivors of childhood cancer. In addition to large-scale molecular profiling data encompassing genome, epigenome, and transcriptome, we also have access to rich longitudinal clinical data from the two largest cohorts of childhood cancer survivors: St. Jude Lifetime Cohort and Childhood Cancer Survivor Study. Strong expertise in R and/or Python programming is required. Extensive working experience in next-generation sequencing analysis and domain knowledge in one or more of bioinformatics, biostatistics and genetic/molecular epidemiology are highly desired. The ability to work independently and in a team-setting (multi-tasking and effective communications) is also essential. The Wang Lab is currently focused on cancer genetics (pediatric cancers, subsequent adult cancers), aging biomarkers (telomere, epigenetic age, clonal hematopoiesis), and multi-omics integrative analysis (including single-cell approaches). Job Responsibilities: • Work closely with Dr. Wang and others with the overarching goal of contributing to the clinical research by melding multi-omics data with clinical/phenotypic data for discoveries in the area of precision preventive medicine for survivorship care. • Contribute to multi-omics data management and primary sequencing data analysis by setting up/improving automation pipeline with established computational methods. • Lead the development of analytical workflows (secondary analyses) for assigned research projects. • Learn new bioinformatics techniques for data mining in molecular phenotyping (e.g., deconvolution analysis, mosaicism detection, HLA imputation) • Contribute to the preparation and submission of manuscripts for publication. • Present to collaborators and team members to report scientific discoveries and educate researchers about relevant methods, software or scientific results. • Perform other duties as assigned to meet the goals and objectives of the department and institution. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist - Dr. Zhaoming Wang. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Postdoctoral Scholars in Bioinformatics of Neurodevelopment and Neurodegeneration University of California Los Angeles Requisition Number: JPF10434 Postdoctoral Researchers in the Peng Lab at UCLA The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in neurodevelopment and neurodegeneration of the visual system. Our team applies interdisciplinary approaches, combining multi-omics, genetics, molecular biology, evolutionary biology, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover fundamental insights into visual system development, function, and disease. Why Join Us? As a postdoctoral fellow, you will have the opportunity to lead innovative research, collaborate with top scientists, and develop novel computational approaches to analyze complex biological datasets. We are committed to fostering the academic and professional growth of our fellows in a dynamic and supportive research environment. Fellows will have access to state-of-the-art computational and experimental tools, mentorship from experts across disciplines, and opportunities to present their work at prestigious conferences and in high-impact journals. Responsibilities • Lead projects on developing novel analytical methods for studying the development and degeneration of the visual system • Acquire, process, integrate, and standardize large-scale multi-omics datasets and build databases • Perform integrative and exploratory analyses of multi-omics datasets and apply machine learning methods to uncover underlying biological principles Selection Criteria • Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields • Strong experience in data analysis and handling ‘omics' datasets - genomics transcriptomics, and proteomics • Proficiency in R, Python, and other programming languages • Expertise in Linux, Git, Docker, and other high-performance computing environments • Excellent communication and writing skills, with the ability to collaborate effectively in a team To apply, please visit: https://recruit.apo.ucla.edu/JPF10434 The University of California is an Equal Opportunity/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, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy, https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction jeid-faa02dfedc56d144915a3db292b02f22

About the Role The Vice President Bioinformatics and Software Engineering will lead the development and implementation of scalable software systems and bioinformatics pipelines supporting whole genome sequencing (WGS) and clinical diagnostics. This executive-level role combines deep expertise in genomics, cloud engineering, and regulatory compliance to drive innovation in computational biology and precision medicine. The ideal candidate will build and manage a multidisciplinary team and lead the strategy for bioinformatics infrastructure in a clinical setting. Responsibilities: • Develop and execute a strategic roadmap for bioinformatics and software engineering in support of regulated diagnostic products • Lead the design, development, and validation of NGS pipelines, including WGS and RNA-seq, in compliance with CLIA/CAP and FDA requirements • Oversee software development, cloud infrastructure, internal tooling, APIs, and production systems to support clinical diagnostics and lab operations • Establish engineering best practices in code management, testing, deployment, data traceability, and auditability • Recruit, manage, and mentor a high-performing team of bioinformaticians and software engineers • Collaborate cross-functionally with R&D, Clinical, Regulatory, and Product teams to integrate bioinformatics into diagnostic product development • Shape data strategy including long-term infrastructure, real-world evidence generation, and AI/ML enablement • Ensure regulatory and security compliance across all systems and workflows • Leverage open-source technologies and modern cloud-based platforms (AWS preferred) to build scalable, reliable software solutions Qualifications: • PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related field • Minimum of 10 years of experience in bioinformatics and software engineering for next-generation sequencing (NGS), particularly whole genome sequencing • Demonstrated success in building and scaling cloud-based platforms for regulated diagnostics • Proven leadership experience managing cross-functional technical teams in a clinical or healthcare setting • Strong understanding of compliance standards including CLIA, CAP, and FDA submissions • Hands-on experience with cloud infrastructure, preferably AWS • Excellent communication and collaboration skills with the ability to engage both technical and executive stakeholders Desired Qualifications: • Experience with RNA-seq, multi-omics analysis, and integrative bioinformatics workflows • Familiarity with laboratory information management systems (LIMS), clinical reporting software, and lab automation workflows • Background in FDA submission processes and development of QMS-aligned software systems • Experience with AI/ML applications in genomic diagnostics • Knowledge of data governance, audit trails, and infrastructure to support real-world evidence generation

Understanding the location and functions of genes within an organism's genome is useful for scientists to learn more about the relationship between organisms. We look at several features of fruit fly genomes as part of the Genomics Education Partnership. We use online software to make judgements about start and stop sites on exons within the genomes. Students can participate remotely, though sessions with the PI are needed for training and initial workthroughs.

The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Working independently, provides bioinformatics analysis for investigators and communicates analytical process and results. A Lead Bioinformatic Research Scientist position is available in the lab of Dr. Jian Xu at Department of Pathology and Center of Excellence for Leukemia Studies (CELS) at St. Jude Children’s Research Hospital to study the genomic and/or metabolic mechanisms controlling stem cell development and blood cancers. Our lab uses cutting-edge genomics, metabolomics and bioinformatics approaches in a multi-disciplinary and collaborative team setting. Our recent studies include the development of the CRISPR CAPTURE approach (Cell 170:1028), the analysis of rewired BCAA metabolism (Cancer Discovery 9:1228), the role of pathogenic non-coding variants (Cancer Discovery 10:724), retrotransposon silencing (Nature Genetics 53:672), therapy resistance in hematologic malignancies (Cancer Discovery 13:170), and metabolic rewiring in erythropoiesis (Science 386:eadh9215). The main responsibilities will be developing and implementing bioinformatic methodologies for integrative genomic and metabolomic studies of childhood cancers; overseeing operations related to genomic and metabolomic data processing and analysis within the Advanced Technology & Genomics (ATG) core, including software pipelines for short-read and long-read-based genome sequencing, single-cell genomics, high throughput metabolomic profiling, and stable isotope tracing; managing databases; and providing bioinformatic support and services to other lab members and St. Jude researchers. Candidates must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence, flexibility and creativity with a record of scientific productivity. Previous experience in single-cell genomics, computational biology, and/or hematology-oncology is strongly preferred. Interested individuals should upload a CV, a short summary of research interest and experience, and a list of three references. Job Responsibilities: • Lead data analysis and deliver high-quality results by formulating advanced and/or new analytical approaches with the available data/ to address challenging data analysis questions. • Deliver data files, and document the analytical process. Participate in manuscript preparation at project's conclusion. • Establish and document protocols or best practices for common research tasks. • Recommend ideas to automate or improve existing analysis methods and implement the improvement. • Evaluate and test new methods and technologies. Develop reusable code and pipeline. Participate in redistribution and education of novel methods to research community when required. • Lead and participate in the department's developmental projects and interdepartmental team projects. Act as a project manager when required. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $125,840 - $238,160 per year for the role of Lead-Bioinformatics Research Scientist. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The UHealth System at the University of Miami has an exciting opportunity for a Bioinformatics Analyst in the Radiation Oncology Department. SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9