Bioinformatics Jobs

SUMMARY The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2022-2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer... Institute. The Genetics Department is a basic science department located in the George and Cynthia Mitchell Basic Sciences Research Building at the world-renowned University of Texas MD Anderson Cancer Center in the heart of the Texas Medical Center. The focus is on advancing knowledge of the molecular genetic mechanisms that regulate normal and abnormal cellular processes. The primary purpose of the Associate Data Scientist position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for Advanced Technology Genomics Core facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results. This position impacts cancer research projects by developing/maintaining programs and applications tailored to meet research objectives and makes them available to the wider cancer research community. The ideal candidate will have working experience in: • Analyzing genomic and epigenomic data. • Proficiency in at least one programming language such as R, Python, or PERL. • Experience in NGS data analysis (expression profiling, mutations and structural variations, and differential peak analysis), data integration, and data mining. KEY FUNCTIONS • Performs bioinformatics analysis of bulk RNA-Seq and scRNA-Seq datasets in terms of gene expression profiling analysis. • Performs bioinformatics analysis of DNA-Seq and scDNA-Seq in terms of detection of both mutations and structural variations. • Performs bioinformatics analysis of ChIP-Seq, ATAC-Seq, and scATAC-Seq datasets in terms of genome wide profiling of histone modifications and chromosome accessibility. • Develop software pipelines to perform standard NGS data analysis routine in an automated fashion. • Perform quality control (QC) analysis on NGS data, and maintain QC metrics and sample records of NGS experiments on the servers. • Work with bioinformatics faculty, IT personnel, and other researchers to respond to new technologies. Other Skills • Expertise in programming languages such as Python, PERL, or R. • Expertise in linux/unix based environments. • Excellent communication skills and team-working attitude will be essential. • Other duties as assigned. EDUCATION Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. EXPERIENCE Required: Two years of experience in scientific software development/analysis. Preferred: • Analyzing genomic and epigenomic data. • Proficiency in at least one programming language such as R, Python, or PERL. • Experience in NGS data analysis (expression profiling, mutations and structural variations, and differential peak analysis), data integration, and data mining. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 163498 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 75,000 • Midpoint Salary: US Dollar (USD) 94,000 • Maximum Salary : US Dollar (USD) 113,000 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Onsite • Pivotal Position: Yes • Referral Bonus Available?: No • Relocation Assistance Available?: Yes • Science Jobs: Yes #LI-Onsite

Cell Signaling Technology, Inc. (CST) is a worldwide leader in developing and commercializing antibodies, assays, and research tools. One of our most successful community initiatives is our Summer Internship Program. By employing and training students from our surrounding communities and colleges, CST is able to provide our summer interns with a positive hands-on experience in our Bioinformatics... & Data Science department, where they can learn valuable skills from a multi-disciplinary team of scientists and engineers. Many of the student interns are invited to continue their internship for consecutive years, and after completing their degrees, some return to CST as full-time employees. Our internship positions are paid positions and are full-time roles, Monday-Friday. Responsibilities: The Intern will have a unique opportunity to gain hands-on experience in the exciting interdisciplinary area at the intersection of software engineers, bioinformatics, informatics and/or data sciences. They will work with all teams within the department and assist in various projects to develop and implement novel bioinformatics algorithms, pipelines, and machine learning tools, and will have the opportunity to work on real-world problems and contribute to the company's success. CST interns will join the Bioinformatics team with a variety of responsibilities and areas of focus, which may include, but are not limited to, the following: • Analyzing and interpreting large datasets generated from biological experiments • Assisting with the design, development, and maintenance of bioinformatics databases and pipelines • Development and application of bioinformatics tools and algorithms • Developing algorithms and scripts to automate data analysis tasks • Creating visual representations of data and results • Collaboration with research scientists and other team members • Preparation of reports and presentations on project findings Required Skills & Experience: Must be a rising Senior in High School or be currently enrolled in an Undergraduate program in Computer Science, Data Science, or other scientific disciplines relating to bioinformatics or computational biology. Graduate students are not eligible for this program. • Have successfully completed a high school or college STEM (Science, Technology, Engineering, Math) class • Should possess a passion for technology, science and learning informatics • Exhibit strong communication and collaboration skills Application Instructions: Applications will be accepted from: December 11, 2023 to January 8, 2024 Applications will ONLY be accepted if they are submitted via the CST Career site and must include the following: • A Resume • A link to a YouTube Video (60-second video introducing yourself, and describing how an internship at CST will contribute to your future goals) • 1 Letter of Recommendation • Copy of an unofficial transcript Note: Instructions on uploading videos to YouTube can be found by following this link. If needed, Letters of Recommendation and Unofficial Transcripts may be emailed to internships@cellsignal.com. We will accept Letters of Recommendation and Unofficial Transcripts until January 18, 2024. Returning interns should apply with an updated copy of their resume only. No other application material is needed. Projected Program Dates: College Students: May 28, 2024 - August 16, 2024 High School Students: June 24, 2024 - August 16, 2024 Cell Signaling Technology, Inc. is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, status as a veteran or as a member of the military or status in any group protected by applicable federal or state laws

The Position 2024 Summer Intern - Oncology Bioinformatics / Cancer Immunogenomics (gRED... Department Summary At Genentech Research & Early Development (gRED), we have embarked on an exciting journey to unite and strengthen our computational talent and capabilities. This endeavor has led to the formation of a new central organization called gRED Computational Sciences (gCS). Our mission at gCS is to collaborate across the organization to unlock the potential of data, technology, and computational approaches. By doing so, we aim to revolutionize the discovery and development of targets and therapeutics, ultimately leading to innovative treatments for patients worldwide. Within gCS, our group focuses on advanced computational research for development of cancer immunotherapies, specifically in the field of cancer immunogenomics. We currently have an exciting internship opportunity available for highly motivated and academically equipped students. The internship will involve contributing to our research on identifying new targets for cancer immunotherapy. This role offers hands-on experience in computational pre-clinical research. The ideal intern for this role should have a strong background in AI/ML modeling and a passion for cancer biology and genetics. This internship position is located in South San Francisco, CA on-site. Key Responsibilities • Implementing one or more AI/ML approaches in close collaboration with colleagues with and without expertise in AI/ML and bioinformatics • Documenting their efforts and code effectively such that colleagues will be able to replicate their efforts before and after their departure • Effectively communicating their technical and scientific findings in both smaller project meetings and larger group presentation formats • More detailed project objectives will be tailored to the candidate’s strengths, and an ideal outcome for the project would be significant contributions to a robust bioinformatic pipeline of patent or publication quality Program Highlights • Intensive 12-week, full-time (40 hours per week) paid internship • Program start dates are in May/June (Summer) • A stipend, based on location, will be provided to help alleviate costs associated with the internship. • Ownership of challenging and impactful business-critical projects. • Work with some of the most talented people in the biotechnology industry. Who You Are (Required) Required education: You meet one of the following criteria: • Must be pursuing a PhD • Must have attained a PhD Required majors: • Bioinformatics, Computer Science, Biology, Genetics, Bioengineering or related fields Required skills: • Possess knowledge in human genetics and epigenetics • Strong background in AI/ML modeling • Proficient in at least one of the following programming languages: Python, R, Julia, C, C++, and/or Java Other Preferred Qualifications • Familiar with Next Generation Sequencing (NGS) data • Experience with programming in an HPC setting • Excellent communication, collaboration, and interpersonal skills • A passion for cancer biology and immunology • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location for this position in California is $50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits. #GNE-gCS-2024-Interns 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

Responsible for a wide range of technical tasks involving the creation and use of software for the display and manipulation of biological data. Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. Located in Boston and... the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. • Designs and develops software, databases and interfaces for analyzing and manipulating biological data. • Draws upon knowledge of biology to improve data mining and management techniques. • Collaborates with laboratory researchers to develop high throughput data processing and analysis capability. • Adds new software that has been internally developed or imported from outside sources to in-house systems. • Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data. • Provides direct technical and scientific customer support and helps guide, implement and maintain further improvements to bioinformatics software. • Works with the entire life science team to diagnose and fix issues with software. • Bachelors degree required, MS preferred or PhD in bioinformatics, computer science and/or the life sciences and 3-5 years relevant experience. • Familiarity with simple programming using Perl/Python or Java, statistical programming using R or related tools, web-development, and database query through SQL. • Familiarity with principles of experimental design and modern data analysis paradigms is required. • Strong interpersonal skills and ability to effectively interact with all levels of staff and external contacts. • Excellent analytical, organizational and time management skills. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law. EEOC Poster

• 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

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

UPMC Presbyterian is hiring a full-time Bioinformatics Scientist to support the Molecular & Genomic Pathology Lab! This role will be scheduled for daylight shifts, Monday-Friday. The Molecular & Genomic Pathology Laboratory is a dynamic, state-of-the-art clinical laboratory that prides itself on delivering the highest quality of patient care through cutting-edge testing and informatics... The scientist works independently using a robust math toolbox to discover solutions for a diverse portfolio of interesting and challenging problems. The scientist develops, implements, and monitors advanced analytics, medical informatics, and predictive modeling tools for health care programs at the UPMC. The scientist normally works Monday through Friday day-light business hours or as needed. Responsibilities: • Maintain SOP documentation related to bioinformatics processes such as NGS data analysis pipelines. • Development and maintenance of robust systems for managing and reporting NGS results. • Development and maintenance of Next-Generation Sequencing (NGS) data analysis pipelines. • Assist with technical interpretation of NGS results in areas such as variant calling, copy number variation, or fusion detection. • Assist in the establishment of cutoffs and guidelines for interpretation of NGS results using statistical analysis. • Work with other lab members to publish new methods and results in scientific journals and conferences

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/Cardiology Hiring Pay Scale... $25.67 - $33.00 / Hour Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Mon - Fri #125271 Bioinformatics Programmer I Initial Review Date: Wed 9/27/2023 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 09/15/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 09/27/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will remain open until a successful candidate has been identified. DESCRIPTION The Department of Medicine (DOM) is the largest department within the UCSD School of Medicine and is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego School of Medicine. The department employs approximately 500 salaried faculty, 168 academic appointees, 331 residents, fellow and postdocs and 479 staff personnel. Computational biologist. Resolves routine programming problems, applying established data processing algorithms to novel data. Works on issues and projects of limited scope. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. Maintains repositories of published code and answers outside user requests. Aids in the publications of research results. Proficiency in Python, R, Linux, and git version control systems required. AWS experience is a plus. Understanding of major biological data types (genomic SNPs, single-cell RNA-seq expression, protein-protein interaction networks, ATAC-seq, Chip-seq) is required. Will design and develop bioinformatic programs and pipelines to process genomics data. Responsible for lab computer and software maintenance and coordination with other computer facilities. 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 • Four (4) years of related experience, education/training, OR a Bachelor's degree in bioinformatics, biological science, computational / programming, or related area and /or equivalent experience/training. • Basic knowledge of bioinformatics methods, techniques, and data structures. • Programming experience: R, Python, Linux, bash scripting, git version control systems. • Demonstrated experience in processing and analyzing genomics data. • Proven knowledge of applications programming and web development. • Knowledge of modern biology and applicable field of research. Theoretical knowledge in molecular, cellular, or developmental biology. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Strong ability to communicate technical information in a clear and concise manner. • Basic knowledge of application and data security concepts. PREFERRED QUALIFICATIONS • Knowledge of AWS, Jupyter Notebook, HPC • Knowledge relating to the design development, modification and implementation of software including object-oriented programming concepts. • Understanding of major biological data types (genomic SNPs, RNA-seq expression, protein-protein interaction networks. • Experience analyzing singlecell and spatial transcriptomics data. SPECIAL CONDITIONS • Employment is subject to a criminal background check. 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

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 new Department of Host-Microbe Interactions is seeking a talented and highly motivated Principal Bioinformatics Research Scientist or Lead Bioinformatics Research Scientist with extensive experience in large-scale microbial genomic data analysis to create and direct the new Microbial Computational Genomics and Bioinformatics Laboratory at St. Jude Children’s Research Hospital. The Microbial Computational Genomics and Bioinformatics Laboratory's mission is to support initiatives on microbial genomic, phylogenomic, and computational needs of researchers in the Department of Host-Microbe Interactions and the Center for Infectious Disease Research. The laboratory is a major initiative backed by substantial support as a part of our institutional strategic plan and will be fully integrated with research in microbial evolution, microbial pathogenesis, virology, the microbiome, computational biology, and data sciences at St. Jude Children’s Research Hospital. The focus of this position is on bacterial and viral genomics, using specimens and data obtained from our healthcare system to address key questions such as the acquisition of antimicrobial resistance, genome heterogeneity, outbreaks, transmission, and the identification of potential targets for the generation of novel therapies. This will be achieved using a combination of approaches, including: short-and long-read whole genome sequencing; phylogenomic, transcriptomic, and bioinformatics approaches involving electronic health data; and experimental data generated by collaborating partners. Data analysis will focus on answering clinical questions, generating insights to prevent infections, and building predictive models of disease susceptibility. The successful candidate will assemble a team of Ph.D.- and MS-level bioinformaticians and data scientists to analyze and interpret newly generated as well as existing large collections of microbial whole-genome sequences and metagenomes, using cutting-edge bioinformatics approaches to address project aims. 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, including clinicians, basic scientists, and data scientists. The ideal candidate should have: • A PhD and extensive postdoctoral experience in microbial genomics, phylogenomics, bioinformatics, computational biology, and data science. • A strong CV that includes high-profile publications in the field of computational biology and microbial genomics. • Extensive expertise in analyzing, interpreting, and visualizing microbial genomics and microbiome 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 microbial 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. • Preferably, proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git). • Preferably, experience with database management systems such as MySQL. • Extensive expertise in data integration and harmonization. • Possess a deep understanding of essential bioinformatics concepts and algorithms, e.g., alignment, SNP nucleotide calling, classification of nucleotide and protein sequence, phylogenetics, and genomic assembly. • Previous experience working in the field of infectious diseases is preferred. • Proven problem-solving skills and collaborative nature in fast-paced environment. • Excellent communication and presentation skills. Responsibilities: • Develop and apply state-of-the-art computational approaches to characterize and assemble microbial genomes and metagenomes. • Attract, recruit, and supervise staff to create a strong team for the operation of the Microbial Computational Genomics and Bioinformatics Laboratory. • Collaborate with the St. Jude Children’s Research Hospital data science initiative to develop computational pipelines for handling large, complex genomic datasets requiring custom approaches to accommodate project-specific analytical requirements. • Interface and collaborate with the IT department to develop and maintain capabilities for analysis, interpretation, and storage of the genomic data. • Maintain a high level of professional expertise through familiarity with scientific literature and scientific networking. • Create and implement educational and outreach programs to enhance microbial genomics capabilities and usage within the St. Jude Children’s Research Hospital community. • Train MS and PhD level graduate students in microbial computational genomics. • Collaborate and enable external funding applications. Minimum Education: • 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. Principal Bioinformatic Research Scientist Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ 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 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, 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. 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

Description Who are we, and what do we do... At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. The Biologicals Discovery and Development (BD&D) department in Crop Protection Discovery and Development at Corteva Agriscience plays a critical role in the discovery, development, and optimization of microbial and small molecule natural product active ingredients. We are seeking a Microbiology Bioinformatics Analyst to join the Microbial Discovery team within BD&D at the Indianapolis Global Headquarters as we grow our pipeline of sustainable products. What You'll Do: • Act as the interface between BD&D, Corteva's Data Science Team and Genomics Technologies to deploy genomics tools to drive natural product and live microbial discovery. • Develop, adopt, and implement methods for hypothesis-driven genome mining to enhance our selection of microbial candidates for agriculturally relevant activity. • Offer tactical recommendations to microbiologists and biologists regarding genome-based strain nominations. • Stay abreast on new computational tools and identify gaps in our current approaches to Biologicals discovery. • Monitor the competitive landscape to inform the selection criteria of microbial candidates within Corteva's microbial library. • Interpret genomic data from the microbial library to predict phenotypic outputs across insecticidal, fungicidal, and herbicidal activities. • Identify and integrate state-of-the-art high-throughput technologies and computational biology workflows to continually enhance the nomination strategy. Qualifications What Skills You Need: • Ph.D. in Computational Biology, Bioinformatics, Microbiology, Microbial Ecology, or closely related scientific field. • Experience with phylogenetic analysis and large -omics data sets, particularly genomics. • Proficiency in Bioinformatics software and programming languages (i.e., Python or R). • Experience in analyzing whole genome sequence data and/or amplicon sequences. • Ability to collect and analyze data, leading to action-oriented recommendations. • Excellent communication (written and verbal), interpersonal, and technical writing skills. • Strong organizational and prioritization skills. • Experience using genomic approaches for gene discovery. • Demonstrated ability to work in both a team-setting and independently. Preferred Qualifications: • Experience working on biological products for agriculture, ideally in the field of biocontrol. • Previous industry experience. • Experience in plant pathology. • A solid understanding of biocontrol modes-of-action. Benefits – How We’ll Support You: • Numerous development opportunities offered to build your skills • Be part of a company with a higher purpose and contribute to making the world a better place • Health benefits for you and your family on your first day of employment • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays • Excellent parental leave which includes a minimum of 16 weeks for mother and father • Future planning with our competitive retirement savings plan and tuition reimbursement program • Learn more about our total rewards package here – Corteva Benefits • Check out life at Corteva! www.linkedin.com/company/corteva/life Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team