Bioinformatics Jobs

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We... give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. The Genomics and Bioinformatics group within Global Statistical Sciences and Advanced Analytics works across functions and provides expertise in application of genomic technologies and related analysis methodologies to support discovery, translational and development efforts at Eli Lilly and Co. We are seeking a Bioinformatician/Genomic scientist to join our team in Indianapolis, IN The successful candidate will: • Provide scientific expertise to support the Lilly portfolio in areas such as but not limited to disease characterization, translational research and technology development • Work closely with functional leadership to enable data generation and evaluation of new technologies (sequencing platforms, variant calling pipelines, tertiary analysis workflows). Additionally, they will provide leadership and help grow and shape the genomics community at Eli Lilly. • Develop novel solutions to support a large and growing portfolio of genetic medicines (gene editing, base editing, siRNA, ASOs) • Create innovative approaches to support application of genomics/genetics to target validation and support therapeutic development • Develop applications to enable interrogation of genomic/genetic data for disease mechanistic understanding • Collaborate with therapeutic area bioinformatic scientists to enable access and query of genomics data for their programs Basic Requirements: • PhD in biology or related field with 5+ years post-degree experience (including post-doc) in genomics and bioinformatics Additional Skills/Preferences: • Deep expertise in genomics and bioinformatics (and related software/online resources) • Significant experience in creating/analyzing NGS data and novel NGS technologies • Experience in one or more of the following: RNA/genome biology, graph/pangenome assembly, gene editing, single cell biology, genetics • Programming/cloud technology experience • Strong written and verbal communication skills • Understand disease states/scientific areas in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor • Experience in pharma/drug discovery preferred • Strong teamwork and leadership skills Additional Information: This position will be based at the Indianapolis Indiana site Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. #WeAreLilly

Expected Starting Salary Range: 33.97 - 42.86 SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data... Representative Responsibilities Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. Develops and executes data characterization/quality assessment routines of basic to moderate complexity including metadata standardization. Data Analysis Assists analysts and managers in building robust pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software and contributes to the development of new and existing tools to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Helps develop scalable, searchable and secure data structures, utilizing best-practices as much as possible. Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients. Maintains computational infrastructures and controls the flow of data and information for studies. Provides web-based bioinformatics tools and access to public and proprietary relational databases. Documents standard operating procedures based on best practice. Works in collaboration with both technology and scientific teams. Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Problem-solves and discusses possible solutions with the stakeholders. Considers the implications of possible solutions on the current environment. Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Participates in various aspects of the software development life cycle, including identification of key stakeholders, design requirements gathering, system analysis and design, code generation, testing and implementation. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Education/Experience Required: • Master's degree in bioinformatics, biostatistics or computer science • 2+ years of work experience in genomics data analysis Preferred: • PhD in bioinformatics, biostatistics or computer science Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA). Job Research Primary Location United States-Ohio-Cincinnati-Burnet Building Location S Schedule Full-time Shift Day Job Job Type Standard Department Molecular Cardiovascular Biology Employee Status Regular FTE 1.0 Weekly Hours 40 Salary Range 33.97

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 20 • Standard Work Schedule: • Building: • Salary Range: $35,000 - $35,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Department of Systems Biology at Columbia University Irving Medical Center is seeking to hire a part-time Bioinformatics Analyst to work in Dr. Yufeng Shen’s lab. The Bioinformatics Analyst will participate in analysis of large-scale genomic data in genetic studies of human conditions and diseases. Responsibilities • Participate in computational and statistical model development for predicting genetic effect of genomic variation. • Participate in computational analysis of large-scale genomic data to identify risk variants and genes in human conditions and diseases, such as autism and neurodevelopmental disorders. • Maintain and improve bioinformatics pipelines for genomic variants annotation. Minimum Qualifications • Bachelor’s degree or equivalent in education and experience Preferred Qualifications • Bachelor’s degree in Science or Engineering • At least one year of experience in projects with data science or machine learning as a core component • Proficient in Python, git, and modern data science frameworks Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

Payroll Title: BIOINFORMATICS PROGR 1 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $68,100 / Year Worksite: Hybrid Remote Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday - Friday #127238 Bioinformatics Programmer - Hybrid/Remote Filing Deadline: Fri 1/5/2024 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 12/27/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 01/05/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance. Current UC San Diego Health Cellular and Molecular Medicine employees who apply by 12/29/2023 will have priority consideration for this position. Recruiters will refer qualified internal candidates after the first 7 days of the job posting. All qualified external applicants and additional internal applicants who apply after the priority date may have further consideration pending the results of the initial review. This position may have the ability to work in a hybrid schedule but is expected to be onsite in La Jolla, CA a minimum of 3 days per week. DESCRIPTION UCSD Health Sciences is a $1 billion dollar plus organization encompassing 16 academic departments (14 clinical, 2 basic sciences), 2 pre-academic/hospital departments, 2 professional schools (School of Medicine and SkaggsSchool of Pharmacy and Pharmaceutical Sciences), 2 hospitals, and various other programs and units all dedicated towards fulfilling the Health Sciences missions. The UCSD Department of Cellular and Molecular Medicine (CMM) is one of two basic science units in the School of Medicine where world-class researchers study fundamental cellular processes and pathways using a variety of techniques from classical genetics and fluorescence microscopy to high-throughput genomics, systems biology, and crystallography. Our 36 faculty and over 200 postdoctoral scholars, graduate students, and research staff work on the cutting edge of biology, cutting across fields from basic biochemistry and genetics to genomics, systems biology and stem cell biology. The faculty also play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines and provide diversity to meet the interests of a broad spectrum of students and scholars. The diverse mix of ages, backgrounds, and talents creates a robust work environment withchallenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced, and deeply interested individuals who are ready to become a part of our dynamic research and educational environment. The Alexandrov Lab is focused on understanding the processes that cause cancer and in developing strategies for preventing cancer development. Significant part of the performed research relies on bioinformatics analysis of genomics data in a high-performance computing environment. Under direct supervision, the incumbent will help in implementing, running, customizing, and optimizing our existing computational pipelines for analysis of genomics data. Further, the incumbent will assist in testing and documenting tools developed at lab and in extending some of the tool’s basic functionality such as updating plotting functions. The incumbent will also help in performing integrative data analyses, downloading external dataset, as well as in preparing results for oral presentation, scientific publications, and grant applications. CT: Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. MINIMUM QUALIFICATIONS • Bachelor's degree in biological science, computational / programming, or related area and /or equivalent experience / training. • Basic knowledge of bioinformatics methods and data structures. • Basic knowledge of applications programming and web development. • Basic knowledge of databases. • Basic project management skills. • Basic knowledge of modern biology and applicable field of research. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Self-motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Basic knowledge of application and data security concepts. • Basic knowledge in either Python or R. • Basic knowledge in bash scripting. SPECIAL CONDITIONS • Job offer is contingent upon satisfactory clearance based on Background Check results. • Occasional evenings and weekends may be required. Pay Transparency Act Annual Full Pay Range: $53,600 - $111,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $25.67 - $53.45 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. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

St. Jude Children's Research Hospital is looking for a highly motivated Senior Bioinformatics Analyst/Bioinformatic Analyst to contribute to genetic research projects in the Department of Epidemiology and Cancer Control. Our research leverages comprehensive biomedical data from childhood cancer survivors participating in two world-leading cohort studies, CCSS (https://ccss.stjude.org/ ) and... SJLIFE (https://sjlife.stjude.org/ ), to identify novel genetic determinants of childhood-cancer-treatment-related outcomes using advanced data-science methods. One of our ongoing research theme is on rare variant/haplotype analysis (Wang et al. Cancer Res 2023; Letsou et al. Life Sci Alliance 2023), aiming to apply to the CCSS/SJLIFE data. As a Bioinformatics Analyst, you will work under the supervision of a Lead Bioinformatics Scientist on various genetic analyses such as GWAS, rare variant/haplotype analysis, polygenic risk score, and epistatic analysis. You will also assist in evaluating new genetic computational methods, acquiring data from public databases (e.g., UK Biobank, TOPMED, dbGaP, GEO, gnomAD, GTEx), and sharing the analytic workflow and resources with the department and the research community. The ideal candidate should demonstrate good data analytic skills and be familiar with Shell scripting languages as well as high-performance cluster computing environment (HPC). Good understanding of genetics and molecular biology is preferred, but it is not required. In this position, you will have opportunities to advance computation skills in analyzing extensive genomic data using HPC and cloud environments, gain knowledge of pediatric cancer, its treatment, and contribution of germline genetics to the late effects of cancer therapy, and have co-authorship in scientific publications of all projects you contribute to. Job Responsibilities: • Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. • Perform basic analysis, algorithm implementation, programming, and quality checks on data to be loaded into a biomedical database. • Assist in adopting new and improved tools and web-based applications. • Assist in evaluating products and solutions pertaining to the department’s technology needs, in maintaining databases or data warehouse and project reports. • 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 preferred. Senior Bioinformatics Analyst Minimum Experience: • Minimum Requirement: 4+ years of relevant experience required. • Experience Exception: Master's degree and 1+ years of relevant experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred Bioinformatics Analyst Minimum Experience: • Minimum Requirement: 2+ years of relevant experience required. • Experience Exception: Master's degree and no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. 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. Other Information 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

• Develops and manages a specific bioinformatics, computational biology or quantitative genomics project within the research program under the supervising faculty member. • May prepare and submit funding applications within the content areas of the supervisor with permission of the supervisor. • May manage a small research group; conducting reviews and evaluating work... • Leads discussions regarding experimental design, data analysis and interpretation of results. • May represent the supervising faculty member in leading the research group as needed. • Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication. • Contributes to writing grant applications or manuscripts. • May serve on research committees. • Collaborates and leads genomics and bioinformatics analysis for clinical faculty and other investigators. • Performs literature searches to gather information pertaining to research projects or analytical methods in order to develop new protocols, research projects or grant applications for the work group. • Advises other research employees regarding technical and analytical problems within area of expertise. • Participates in work group meetings and formal seminars to present, explain, and discuss research interests. • Makes presentations to extramural audiences at national meetings and academic institutions. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job

Synlico Inc. is a resident company of Johnson & Johnson Innovation – JLABS, a premier life science incubator program. Synlico envisions rewriting medicine by bringing causality to cellular biology. We are an AI-powered Drug Discovery startup developing cutting-edge engineered T cell therapies to combat solid tumors with the latest advancements in single-cell bioinformatics, machine learning, and... causal discovery. We are a passionate team of young scientists and professionals who value innovation and teamwork. Our research is highly interdisciplinary and team oriented. We are seeking a talented and enthusiastic machine learning scientist who will lead/participate in several of our projects with our science team. Our HQ is at South San Francisco, CA, United States. For more information, please visit www.synlico.com. Job Description: As a member of our science team, the candidate will • Collaborate closely with our machine learning and bioinformatics teams to gain a profound understanding of cancer immunology. • Develop sophisticated algorithms with the machine learning team, aimed at uncovering the heterogeneity within patient tumor microenvironment. • Partner with our database team to develop single cell spatial transcriptomics database, supporting our research and development efforts. Job Requirement: • Ph.D in bioinformatics or related technical discipline. • Expert in single cell spatial transcriptomics with experience in applying various technologies in the field of oncology. • Solid foundation in machine learning and deep learning, with a focus on their applications in spatial transcriptomics challenges. • Demonstrate a robust research history and strong publication record. • Excellent communication and collaboration skills, with the ability to work collaboratively and independently with minimal supervision. • Passionate about addressing complex, real-world challenges and creating impactful, innovative solutions. Interested candidates please submit your CV with a full list of your publications. Synlico is an equal opportunity employer. At Synlico, we value differences and are committed to a diverse workplace that fosters inclusion for all employees. Synlico provides a work environment that respects each individual and is free of all forms of employment discrimination

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University, is seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). MoTrPAC is part of the Common Fund Data Ecosystem (CFDE) and aims to build a comprehensive molecular map of physical activity. The BIC is... responsible for managing, analyzing, and disseminating large volumes of molecular and clinical data generated by the consortium through the Google Cloud Platform. As a Bioinformatics Engineer, you will play a key role in developing pipelines and tools for the analysis and integration of multiomics datasets and enabling analytical insights. The Common Fund Data Ecosystem (CFDE) is a collaborative effort by the National Institutes of Health (NIH) to establish a shared infrastructure that supports the efficient and effective management, analysis, and dissemination of biomedical research data. The CFDE aims to harmonize data management practices and facilitate data sharing across the scientific community, enabling researchers to work with large, complex datasets and extract new insights. As part of the MoTrPAC consortium, the Bioinformatics Core (BIC) is contributing to the CFDE by developing cutting-edge infrastructure to manage and analyze large volumes of molecular and clinical data generated by the consortium. The BIC's work will help advance the CFDE's mission of promoting data-driven research and accelerating scientific discoveries. As a Bioinformatics Engineer, you will have the opportunity to work within this ecosystem and contribute to the development of innovative solutions that facilitate data sharing and promote scientific collaboration. This is an exciting opportunity to work in a data federation and be part of a cutting-edge project that integrates a variety of molecular data types, including genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, to advance the understanding of how physical activity improves and preserves health. You will have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers. To be successful in this role, you must have a strong background in bioinformatics and experience working with large-scale biological datasets. Proficiency in programming languages and exposure to high-performance computing environments is essential. You will be expected to participate in software development projects and have the ability to understand biological experiments. A complete application will include a cover letter highlighting your interest in the project and relevant qualifications. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • 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. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. 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. DESIRED QUALIFICATIONS: • Experience as a research assistant or similar. • Experience (including any graduate school) developing tools for data analysis. • Proficiency in python and/or R programming languages. • Experience with cloud computing environments. • Exposure to container systems such as setting up virtual machines and Docker instances. • Biological domain knowledge (exercise science is a plus). • Experience with omics projects. • An understanding of data modeling including ontologies and database design. • Strong data analysis skills to identify patterns, relationships, and inconsistencies within metadata. • Experience in working with large-scale data repositories and data management systems. 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): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. PHYSICAL 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. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • 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. • 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, http://adminguide.stanford.edu/. The expected pay range for this position is $64,480 to $97,000 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. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. 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 Bioinformatics Analyst will work closely with the Spatial Biology Core (SBC) director (https://med.virginia.edu/spatial-biology-core/) to assist in the experimental design and analysis of research projects and provide expert consultation and technical/scientific support to UVA investigators. The SBC is seeking an Analyst to develop and establish computational methodologies and design... integrative data science approaches to study Spatial Multi-Omics analysis. The successful candidate will have a demonstrated ability to translate biological questions into technical design, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. The analyst will participate in meetings and consultations with clients to discuss design and interpretation and will assist in manuscript and grant preparation. The candidate should have a passion for bioinformatics and enjoy collaborating and supporting academic researchers and attending seminars and meetings. The successful candidate will be responsible for: • Organizing and managing Spatial data sets. • Manipulating and formatting data with R-package, Python, and Seurat tools. • Develop a pipeline to analyze Spatial context related to transcriptomics and proteomics data. • Using established open-source software and tools to assess quality and analyze data. • Running analyses on a high-performance computing cluster. • Using software or genome browsers for visualization. • Consulting with UVA investigators on experimental design, result interpretation, and grant and manuscript preparation. • May be asked to perform other duties as assigned. MINIMUM REQUIREMENTS Education: Master's or terminal degree Experience: Five years of specialized experience. Preferred Qualifications: • Ph.D. in Bioinformatics, Genomics, Biostatistics, Computer science or a related field. • M.S. + experience in bioinformatics or data science. • Advanced proficiency with R/Bioconductor or Python or C/C++. • Knowledge of database development and AI. • Experience with open-source software, tools, and databases for analyzing Spatial data analysis (GeoMx, CosMx, 10x Visium, Multiplex Analysis, etc.). PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. This is a restricted position and is dependent upon project need, availability of funding and performance. For more information on the benefits at UVA, visit https://hr.virginia.edu/benefits. This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. TO APPLY Please apply through Careers at UVA, and search for R0055457. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. Complete an application online with the following documents: • CV or Resume • Cover letter Applications that do not contain all required documents will not receive full consideration. References will be completed via UVA’s standardized process Skill Survey during the final phase of the interview process. For questions about the application process, please contact Jeremy Brofft, Senior Recruiting Specialist at xmf9ad@virginia.edu. For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/. 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. MINIMUM REQUIREMENTS Education: Master's or terminal degree Experience: Five years of specialized experience. Licensure: None. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs

Overview The Bioinformatics Scientist in the Kidney and Urinary Tract Center at The Abigail Wexner Research Institute at Nationwide Children’s Hospital will be responsible for working with laboratory-based scientists and trainees to perform the computational and bioinformatic analyses (including integration of Multi-Omic datasets from genomic, transcription and epigenetic... Bioinformatics Scientist will collaborate closely with principal investigators, staff scientists, technicians, and trainees across various levels. Your exceptional verbal and written communication skills will be the driving force behind our impactful publications and presentations at esteemed professional meetings. Adaptability is key, as you'll embark on diverse scientific projects that span a wide spectrum of research focus areas. Join us in shaping the future of kidney and urinary tract research. Be a catalyst for innovation and help us pave the way towards groundbreaking discoveries that will make a difference in the world of healthcare. Responsibilities • Conduct in-depth analysis of diverse "omics" datasets, including next-generation sequencing data like RNA-seq, ChIP-seq, Proteomics, scRNA-seq, and other large-scale sequencing-derived datasets. • Create high quality figures/visualizations for grant proposals, manuscripts, and presentations. • Foster collaborative relationships with KUTC investigators to support both hypothesis testing and hypothesis generation. • Ensure timely delivery of high-quality results by identifying and recommending the adoption of cutting-edge technologies and methodologies. • Develop and implement advanced bioinformatic methodologies for the integration and interpretation of omics datasets, enhancing the center's bioinformatic analytical capabilities. • Assist in managing center bioinformatic resources for the storage and analysis of large datasets, ensuring efficient data access and utilization by research teams. • Acquire, preprocess, and analyze datasets from external sources such as GEO, NCBI Small Read Archive, and individual labs, providing valuable support to research teams in uploading and utilizing these datasets. • Interface and integrate other bioinformatic/computational-biology/research informatics teams on campus. • Author journal publications and present at professional meetings. Qualifications • PhD degree in bioinformatics, Computational Biology, or related scientific field. • Experience in computational biology or bioinformatics. • Experience with UNIX/LINUX, including proficiency in shell scripting. • Proficiency in a scripting language, such as Perl, Python or R. • Previous experience next generation sequencing data analysis highly desirable. • Basic knowledge of core bioinformatics databases and tools, including programs for analysis of RNA-seq, Chip-seq, scRNA-seq, WES, and WGS. • Excellent verbal and written communication skills will be essential. • Capable of self-directed research within broader goals set by groups