Bioinformatics Jobs

The laboratory of Chongzhi Zang at the Center for Public Health Genomics, University of Virginia (UVA) is seeking to fill multiple Postdoctoral Research Associate positions in the broad field of bioinformatics and computational biology. The research program in the lab focuses on developing computational methodologies and designing integrative data science approaches to study chromatin epigenomics... and gene regulation. Current ongoing projects include: multi-omics integration-based algorithm development for transcriptional regulation prediction; model-based algorithm development for single-cell epigenomics and spatial multi-omics data analysis; statistical and computational modeling of phase-separated transcriptional condensation; global epigenetic and transcriptional regulation in T-cell immunity and various human cancer systems, etc. More information on research directions and previous publications can be found at the lab website: zanglab.org. The Zang Lab is well funded by NIH and other agencies. Each postdoctoral scientist in the lab will receive comprehensive and personalized training in research and career development, and will have extensive opportunities for independent and collaborative research. Based at the Center for Public Health Genomics in UVA’s School of Medicine, the lab has established close collaborations with multiple labs both within and outside the university, including departments of Biochemistry and Molecular Genetics, Biomedical Engineering, Statistics, UVA Cancer Center and the new founded School of Data Science, as well as several other universities and research institutes. Requirements 1. A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science, Data Science, Engineering or a related field is required by the start date; 2. Proficient in Python (or C/C++) & R programming; 3. Excellent communication and teamwork skills; 4. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.); 5. At least one peer-reviewed publication written in English in the previous area of research (not necessarily related to biology) with submitted, accepted or published status at the time of application. The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are strongly encouraged to apply. Application Process All positions are restricted and contingent on the continuation of funding. Please direct any questions or inquiries to zang@virginia.edu. The positions will remain open until filled. For further information regarding the application process, please contact: Rhiannon O'Coin at rmo2r@virginia.edu To apply please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, and search for " R0040016". Complete the application and see below for documents to attach. Required Application Materials: • CV • Cover Letter • Contact information for 3 references Please note multiple documents can be submitted in the CV/Resume Box. Applications that do not contain all of the required documents will not receive full consideration. The selected candidate will be required to complete a background check at time of offer per University Policy. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information

About St. Jude There’s a reason St. Jude Children’s Research Hospital consistently earns a Glassdoor Employee Choice Award and is named to its "Best Place to Work" list. At our world-class pediatric research hospital, every one of our professionals shares our commitment to make a difference in the lives of the children we serve. There is a unique bond when you are part of a team that gives their... all to advance the treatments and cures of pediatric catastrophic diseases. The result is a collaborative, positive environment where everyone, regardless of their role, receives the resources, support, and encouragement to advance and grow their careers. About Memphis This position is based in Memphis, TN; relocation assistance is available. Memphis is a family-friendly metropolitan area that more than a million residents call home. Memphis is recognized for its world-class music, food, and hospitality. Cost of living is one of our biggest attractions; in fact, Money listed Memphis as one of the least expensive cities in which to raise a child. Mild winters and beautiful green spaces make the city a magnet for outdoor enthusiasts – there are over 200 miles of bike-friendly lanes with more being added. Forbes recently named Memphis the 4th happiest city in which to work. Why live anywhere else? St. Jude is seeking a seasoned bioinformatics research scientist to lead and participate in the development of multiple scientific products and initiatives on the St. Jude Cloud project. This position will work on a wide array of scientific problems applicable to large-scale pediatric cancer data sharing. Concretely, this role will serve as the domain expert working on at least one of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud); the pediatric cancer reference knowledgebase, PeCan (https://pecan.stjude.cloud); and the genomic and epigenomic visualization platform, Visualization Community (https://viz.stjude.cloud). Cross-ecosystem projects, such as developing a comprehensive diagnosis ontology used across St. Jude Cloud applications and collecting/harmonizing the catalog of scientific information shared through St. Jude Cloud will be a major focus. Finally, this position will have a specific emphasis on developing and publishing bioinformatics workflows that are (a) used to harmonize data published on St. Jude Cloud and (b) are available for external users of St. Jude Cloud. 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 - St. Jude Cloud. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. 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

POSITION RESPONSIBILITIES We are looking for a motivated and experienced Bioinformatics Analyst to join Dr. Robert Burk’s research group. This role is critical for supporting our ongoing research projects focused in 2 areas- the human microbiome (gut, oral and cervicovaginal), and human papillomavirus related to cervix neoplasia. The ideal candidate will have a background in epidemiology... computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data. The successful candidate will demonstrate a willingness and eagerness to adapt to new approaches, as the field of bioinformatics is dynamic and constantly evolving. Key Responsibilities in order of priority: • NGS Data Handling: Perform demultiplexing and analysis of NGS data using barcoding primers for multiplex NGS runs. • Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies. • Data Processing and Analysis: Utilize existing pipelines to process and analyze high-throughput sequencing data reads, including amplicon sequencing, bisulfite sequencing, metagenomics, and viral integration. • Data Management: Manage and organize bioinformatics sequencing data for our research group, including papillomavirus sequences, microbiome data (16S, ITS1 and shotgun metagenomics), and human genomic data. • Large Dataset Management: Download and handle large Fastq, BAM, and/or Fasta files for analyses. • Software Utilization and Script Modification: Use existing software tools and be able to modify R scripts to generate figures and perform epidemiological analyses. • Phylogenetic Analysis: Construct phylogenetic trees to support ongoing research projects. • Collaboration and Reporting: Work closely with and report directly to Robert D. Burk, M.D., Principal Investigator, and collaborate with other lab members generating NGS data. QUALIFICATIONS • Educational Background: Bachelor’s degree with at least one year of experience in epidemiology, computational biology, or bioinformatics. • Technical Skills: Proficiency in R or Python is required. Experience in microbiome bioinformatic processing is preferred. • Communication Skills: Ability to speak clearly and express oneself well in one-on-one conversations and groups. Develops effective written communications and uses them appropriately. Ability to present at weekly lab meetings using PowerPoint or other presentation programs. • Interpersonal Skills: Interacts and proactively shares information with internal and external contacts where appropriate. Develops effective professional relationships with peers, students, and employees. • Responsibility and Problem-Solving: Assumes responsibility to ensure issues/concerns are addressed and monitors them through to conclusion. Identifies, defines, and analyzes information and situations before recommending a course of action. • Time Management: Effectively manages own time and resources. • Innovation and Technology: Seeks to apply technology and innovation to improve efficiency and solve problems related to the goals of the research group. Minimum Salary Range USD $54,000.00/Yr. Maximum Salary Range USD $60,000.00/Yr

Summary: Under the general supervision... of the Bioinformatics Scientist Department Manager Laboratory Directors and Pathologists and in accordance with established policies and procedures the Bioinformatics Analyst performs independently in the Department of Pathology. The Bioinformatics Analyst will be responsible for analyzing clinical Next Generation Sequencing data contributing to the development of data analysis pipelines and organizing and maintaining databases. Responsibilities: Participates in the daily clinical bioinformatics workflow such as DNA-seq and RNA-seq data analysis. Analyzes the clinical data for the validation of new Next Generation Sequencing tests. Assists with preparation of validation summaries of the new Next Generation Sequencing tests. Assists in developing analysis pipelines for Next Generation Sequencing tests. Evaluates analytical aspects of emerging analysis methods. Assists in the development of databases and webtools. Other information: BASIC KNOWLEDGE: Bachelors Degree required. Master s Degree in Bioinformatics Computational Biology Computer Science or a related field is preferred. Demonstrates strong scientific understanding of genomics. Demonstrates proficiency in programming and scripting skills (e.g Perl Python or Java). Demonstrates knowledge of DNA-seq and RNA-seq data analysis tools (e.g. BWA GATK STAR Samtools). Demonstrates knowledge of database and webtool development (e.g. SQL HTML CSS Apache). Maintains up-to-date knowledge of bioinformatics data analysis tools Familiarity with CAP/CLIA lab setting is preferred but not required. EXPERIENCE: At least two years of industry or clinical lab experience. Experience in developing computational approaches for cancer genome and/or germline analysis is highly desirable. Excellent teamwork time management and organizational skills. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: This position requires the Bioinformatics Analyst to work closely with Bioinformatics Scientists Medical Technologists Management Laboratory Directors and Pathologists. Ability to operate equipment and instruments and to perform all procedures within assigned laboratory section and interpret them for accuracy. Physical and visual dexterity necessary to conduct and interpret analysis. Visual strain is encountered while closely examining data. INDEPENDENT ACTION: Ability to work independently in a fast-paced multidisciplinary environment. Ability to multi-task and work on multiple clinical and developmental projects simultaneously. Analyst functions independently within the department s policies and procedures. Refers specific complex issues to the Bioinformatics Scientist Manager Laboratory Directors or Pathologists when clarification of policies and procedures is required. SUPERVISORY RESPONSIBILITY: None. Lifespan is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age ethnicity sexual orientation ancestry genetics gender identity or expression disability protected veteran or marital status. Lifespan is a VEVRAA Federal Contractor. Location: Rhode Island Hospital USA:RI:Providence Work Type: Full Time Shift: Shift 1 Union: Non-Union

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 SCCC 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. #LI-YC1 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. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. 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

The Genomics Research and Technology Hub in the Department of Biological Chemistry anticipates a specialist position available in the areas of genomics, bioinformatics, and systems biology. The candidate will be responsible for development and maintenance of sequence data analysis pipelines for use with multiple applications of next generation sequencing data. Responsibilities will vary but are... likely to include sequence alignment and assembly, and analysis of RNA differential gene expression, ATAC-seq and chromatin immunoprecipitation from bulk and single cell experiments. The candidate will work directly with computer scientists and biologist clients of the facility. A degree in Computer Science or Molecular Biology or Biochemistry (or a closely related discipline) with an emphasis in Bioinformatics is preferred along with basic knowledge of molecular and genomics biology

The Position The Position... A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Genentech seeks a talented and highly motivated Bioinformatics Scientist to pursue translational research projects in collaboration with our Molecular Oncology and Translational Medicine Departments. The Opportunity You will focus on deep exploration of high dimensional clinical trial datasets, with the goal of translating findings into actionable biological insights that can guide our understanding of drug activity in patient tumors, characterize mechanisms of primary and acquired drug resistance, and identify subsets of patients who may benefit from specific therapeutic interventions. Recently, exciting developments at Genentech and elsewhere have uncovered new avenues for interrupting the aberrant cell cycle pathways driving solid tumors. • You should enjoy working with interdisciplinary teams, carrying out data analysis and integration across various domains (High-throughput Transcriptomic, Genomic, Proteomic, Epigenomic data), and applying best-in-class algorithms — or developing new algorithms — that directly address the motivating biological and clinical questions. • You will be a part of a highly collaborative and dynamic research environment where we aim to translate our understanding of cancer biology to develop personalized therapies and diagnostics to transform clinical practice to benefit patient health. • You will have access to state-of-the-art technologies and pioneering research. • You will have access to clinical data sets and samples. • You will be able to effectively present complex results in a clear and concise manner that is accessible to a diverse audience of quantitative, experimental, and clinical scientists. Who you are • You have a PhD in bioinformatics, biostatistics, computational biology or similar. Alternatively, you have a PhD in molecular biology, immunology, etc. combined with a very strong record of high-throughput data analysis, supported by publication in this area. • You have postdoctoral experience in basic or translational research either in an academic or industry setting with a record of publication in lead positions. • You are comfortable with the statistical principles behind current best practices in clinical and high-throughput molecular data analysis. • You have experience with some of these types of high throughput molecular assays: next-generation sequencing (WES, RNAseq, ATACseq), flow cytometry, etc. • You have strong experience in the use of a high-level programming language such as R or Python for complex data analysis. • You have exceptionally strong communication, data presentation and visualization skills. • You are comfortable working both independently and collaboratively and handling several concurrent, fast-paced projects. • You have a record of publications/preprints as (co-)first author demonstrating analysis of large-scale data to investigate biological problems. Preferred • Experience with single-cell assays (e.g., single-cell RNA-seq, Multiome-seq, or CyTOF) is a significant plus. • You are passionate about the relevant concepts in cancer biology and genetics. You are enthusiastic about learning more. #gCS #tech4lifeDataAnalytics Relocation benefits are available for this posting The expected salary range for this position based on the primary location of California is $146,800 - 272,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status

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. The Neurobiology and Brain Tumor Program (NBTP) of the... Comprehensive Cancer Center at St. Jude Children’s Research Hospital is seeking a Principal/Lead Bioinformatics Research Scientist. The NBTP is a collaborative, transdisciplinary research program that aims to improve survival and morbidity for children with brain tumors by developing effective, relatively non-toxic therapies through a better understanding of disease pathogenesis. Through application of cutting-edge molecular approaches to unprecedented patient cohorts and innovative model systems, members of this program are efficiently translating laboratory findings into opportunities for new treatments. Genome-wide studies of diverse pediatric brain tumor entities have identified novel mutations, defined molecular subgroups, and opened new avenues of basic, translational, and clinical investigation. The Principal/Lead Bioinformatics Research Scientist functions independently to coordinate large-scale bioinformatics projects, providing project oversight, scientific and technical advice, programming support, and other input as required to achieve established objectives. Coordinates the specialized expertise of bioinformatics colleagues to achieve scientific objectives. Establishes best practice recommendations, creates educational materials, and participates in educational initiatives at the laboratory, departmental, and/or institutional level. The successful candidate will assemble and manage a team of Ph.D.- and MS-level bioinformaticians and data scientists to analyze and interpret new and existing multi-omic datasets obtained from children and models with malignant brain cancer, including bulk tumor/normal, single-cell/nucleus, and spatial ‘omic profiles. The director will present research findings at project meetings, scientific conferences, and outreach/training events. There will be opportunities to initiate new projects and collaborate with other groups at St. Jude and externally, including clinicians, basic scientists, and data scientists. A deep understanding of cancer genomics, human genetics, transcriptomics, or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in second and/or third generation sequencing analysis are essential for this position. The successful recruit must have the capacity to execute proficient computational analyses and troubleshooting independently, communicate effectively with NBTP faculty and collaborators, and thrive in a highly collaborative team environment. The ideal candidate should have: • A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. • A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. • Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole genome sequencing. • Extensive experience performing statistical analyses of large genomic datasets and validation of genomic pipelines. • Expert-level proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. • Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git). • Proficiency in tool development, including examples documented in public repositories. • Experience with database management systems such as MySQL. • Extensive expertise in data integration and harmonization. • Proven problem-solving skills and collaborative nature in fast-paced environment. • Excellent communication and presentation skills. • Experience in project management and leadership, including training of basic bioinformatics and statistical skillsets. Minimum Education: • Bachelor's degree in bioinformatics, statistics/computer science (with a background in biological sciences) or related field. • Master's degree or PhD preferred. Principal Bioinformatic Research Scientist: Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ years of relevant post-degree work in bioinformatics, statistics/computer science (with a background in biological sciences). • Experience Exception: Master's degree with 11+ years of relevant post-degree experience (OR) PhD with 8+ 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. Lead Bioinformatic Research Scientist: Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, statistics/computer science (with a background in biological sciences). • 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/Principal Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. 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

Bioinformatics Data Analyst I The Roth Lab seeks someone motivated for the position of bioinformatician at the level of Data Analyst I. The successful candidate will be an integral part of a dynamic, interdisciplinary team of researchers, graduate students, and postdocs, investigating the function and impacts of human DNA sequence variation. The bioinformatician will work closely with students... and staff on development, maintenance and operation of research data analysis pipelines, while allotting some time for leading computational research activities. Job Summary Evaluates business requirements and performs basic data integration and analysis. Develops routine analytical and reporting tools utilizing integrated data. Provides technical support. Essential Functions Qualifications: Must have BSc in software engineering, bioinformatics, or equivalent, involving coursework in computer programming, statistics, biology, and bioinformatics. Must have at least one year working experience in a research environment. Must have experience working with high-performance computing in a Unix environment. Must have demonstrated proficiency in the languages of R and Python. Must have experience with computational analysis of biological data, especially sequencing data. Must have experience in web development (Node, Vue). Experience with cloud services would be an asset (Google Cloud, Docker). Experience with sequence alignment software (e.g., Samtools) would be an asset. Background knowledge in basic molecular biology and genetics would be an asset. Physical Effort Physical effort associated with wet lab work, i.e. standing while conducting experiments, sitting while working on computer, walking back and forth in the lab to sinks and microscopes, lifting packages less than 20lbs., etc. Responsibilities: Develop, maintain, and use software pipelines for analysis of next-generation sequencing data. Maintain and develop web-based analysis and analysis reporting applications. Perform data analysis for multiple projects, being able to prioritize tasks in order to meet deadlines as needed. Communicate the results of bioinformatics analyses in written and oral presentations. The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. Assignment Category: Full-time regular Job Classification: Staff.Data Analyst I Job Family: Information Technology Job Sub Family: Analytics Campus: Pittsburgh Minimum Education Level Required: Bachelor's Degree Minimum Years of Experience Required: 1 Will this position accept substitution in lieu of education or experience: Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement. Work Schedule: Monday - Friday, 8:30 a.m. - 5:00 p.m. Work Arrangement: Monday - Friday, 8:30 a.m. - 5:00 p.m. Hiring Range: To be determined based on qualifications Relocation_Offered: No Visa Sponsorship Provided: No Background Check: For position finalists, employment with the University will require successful completion of a background check Child Protection Clearances: Not Applicable Required Documents: Resume, Cover Letter Optional Documents: Not Applicable PI243916404

Payroll Title: BIOINFORMATICS PROGR 3 Department: BIOENGINEERING Hiring Pay Scale... $94,400 - $105,000 / Year Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: 8 hrs/day, Mon - Friday #131145 Bioinformatics Data Scientist Filing Deadline: Wed 7/24/2024 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 7/22/24 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 7/24/24. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. NIH has created a Common Fund Data EcoSystem, which serves as the nucleus for a collection of Common Fund Projects that generatelarge volumes of disparate data. The Data Resource Center, DRC (jointly maintained by UC San Diego and Mt. Sinai School of Medicine Teams) operates the DRC. This requires a team of programmers/software engineers/computational biologists who can develop, maintain and support the DRC. This position is seeking a software engineer/computational biologist who has background in biological data maintenance and analysis. This individual will apply skills as a seasoned, experienced software professional with a full understanding of software practices, community standards and relevant policies and procedures to medium-sized projects or portions of large projects with moderate scope and complexity. This individual will have demonstrated competency in selecting tools, methods and techniques to obtain results from Common Fund data. The incumbent will be involved in the development of server/OS/desktop/mobile applications and services, including researching, designing, developing specifications, writing, modifying, testing, debugging, troubleshooting, and maintaining source code. Direct or related involvement in designing databases, user interfaces, integration to other systems/applications, content, or multimedia processes will be a requirement. Work encompasses analysis and design to post-production processes, quality assurance, maintenance, and documentation. Additionally, this individual will engage in developing and utilizing computational tools and systems to analyze and interpret biological or other research data. The individual will also utilize and develop algorithms, computational techniques, and statistical methodologies and will assist in the design of new experiments, and implement end-user needs in database searching and integration. They will maintain the computational infrastructure and tracks the flow of data for large-scale studies and will provide web-based bioinformatics and access to public and proprietary databases. QUALIFICATIONS • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. • Thorough knowledge of bioinformatics programming design, modification and implementation. • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. • Demonstrated ability to understand functional needs and how systems can support those needs. • Demonstrated ability to develop conversion and system implementation plans. • Demonstrated experience in applications including web-based query systems, workflow implementations and interface development. Should have the knowledge of handling private and confidential information and developing controlled access to data resources. • Advanced skills associated with software design, modification, implementation and deployment, including object-oriented programming concepts. Experience in Workbench and Query Systems design is required. • Demonstrated software repository skills. Demonstrated testing and test planning skills. Demonstrated experience testing and documenting software. • Demonstrated ability to use data analytical pipelines for various types of biological data and perform relevant biological interpretations of results. • Demonstrated experience with these would also be valuable: Docker, Jupyter Notebooks. • Demonstrated experience with biology. Familiarity with genomics, proteomics, metabolomics, epigenomics and other multiomics resources that can help in the design of query systems and tools. • Demonstrated proficiency with Git and GitHub. • Experience writing high-quality, well-documented, well-tested code. • Demonstrated up-to-date knowledge of TypeScript or JavaScript ES2015+ (front-end engineer). • Demonstrated up-to-date knowledge of distinct web browser systems. • Demonstrated up-to-date knowledge of TypeScript or JavaScript. • Thorough knowledge/experience developing database-driven applications with SQL and Python or a similar language (back-end engineer). • Demonstrated ability to communicate/training technical information to technical and non-technical personnel at various levels in the organization. • Thorough experience with identification and use of code libraries and open-source forums. • Advanced skills associated with software design, modification, implementation and deployment, including object-oriented programming concepts. • Leadership skills to provide guidance, coaching and mentoring to professional and support staff. Lead experience: hiring, onboarding, training, employee guidance, and performance management. Experience addressing performance issues, identifying performance goals, conducting performance reviews, and implementing disciplinary actions. Experience scheduling staff, approving time off requests, and timecards. • Experience advising staff on customer interaction approaches, customer expectations. Serves as an escalation point for staff on difficult customer service issues. • Experience leading projects, (identify scope of project, estimate timelines & milestones). Project management and organizational skills; ability to adapt to changing priorities and changing deadlines. SPECIAL CONDITIONS • Must pass a background check. Pay Transparency Act Annual Full Pay Range: $94,400 - $176,800 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $45.21 - $84.67 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. 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