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

Scheduled Hours 20... Position Summary Provides critically complex research and experimentation for department/s allowing the advancement of scientific analysis and discovery. Serves as a subject matter expert offering support, training and guidance relative to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department. Job Description Primary Duties & Responsibilities • Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and dissemination of large data sets. • Coordinates research project with other investigators and institutions. • Participates in developing hypotheses and experimental design. • Assists with reporting of methods, data and results. Preferred Qualifications • Analytical, reasoning and problem-solving skills. • Good understanding of computational biology. • Ability to analyze and interpret large complex data sets, such as genome sequencing, microarray gene expression studies, human genetic studies and model organism studies and to communicate data in a clear, concise manner. • Expertise in standard bioinformatics tools. Required Qualifications Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years. Grade R09-H Salary Range $20.98 - $35.66 / Hourly The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget. Accommodation If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. Pre-Employment Screening All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits. EEO/AA Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. Diversity Statement Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply

• 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

• 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

Apply your expertise in bioinformatics, computational biology, genomics data science, or computer science towards this unique Bioinformatics Research Scientist opportunity in the Tsai Genome Editing Lab, focusing on advancing genome editing technologies towards treatments of pediatric patients with sickle cell disease and cancer, from bench to bedside. This is a great chance to apply skills in... programming and next-generation sequencing data analysis to important challenges that may lead to new, potentially curative, genome editing treatments for patients at St. Jude Children’s Research Hospital. Our Lab The Tsai Lab is a dynamic, collaborative, and creative group of scientists at St. Jude Children’s Research Hospital. Our research program centers on development of state-of-the-art genomic methods for understanding the global activities of genome editors, protein engineering to improve their capabilities for precise editing, and translation to autologous genome edited hematopoietic stem cell therapies. About the Job Opportunity We are seeking an outstanding and highly motivated Bioinformatics Scientist to help lead efforts to improve our fundamental understanding of CRISPR genome editors (nucleases, base editors, prime editors), engineer better editors, and apply them towards treatments of catastrophic hematological conditions such as sickle cell disease and bone marrow failures. Our wet-lab scientists generate large-scale next-generation sequencing (NGS) datasets on the genome-wide activity of editors, engineered variants with improved properties, and genome editing outcomes. We are looking for a candidate who can use their computational skills to help understand the biology of genome editors and help engineer better editors for therapeutic applications. You would have opportunities to work on exciting projects that include: · Develop new computational pipelines to analyze data from novel high-throughput methods to understand global activity of genome editors · Understand the impact of individual genetic variation on therapeutic genome editing · Develop infrastructure and framework for patient-specific genome editing and high-throughput lead discovery · Machine learning to predict the activity and specificity of CRISPR genome editors. Some examples of open-source software packages we have developed include analysis pipelines for CHANGE-seq and GUIDE-seq. The ideal candidate will be fluent in programming in a language such as Python and experienced with NGS data analyses. If you have special experience with open-source software development, high-dimensional data visualization, high-performance computing, artificial intelligence/machine learning we particularly encourage you to apply. We care deeply about the success of our trainees and this job is a unique opportunity to learn about genomics while contributing to the development of future genomic medicines at St. Jude. You would learn valuable skills that include: · Genome editing biology, next-generation sequencing analysis, high performance computing, machine learning, and others. Applicants are encouraged to provide a cover letter. Those with experience in genome editing, genomics, high-throughput sequencing, screening or automation we especially encourage you to apply! Project-dependent responsibilities could include: • Develop analysis pipelines for state-of-the-art methods for understanding CRISPR genome editors. • Develop machine learning models to predict activity and specificity of editors. • Create novel pipelines for high-throughput lead discovery with base and prime editors. • Develop broadly applicable useful methods to enable genome editing drug development. • Analyze experimental outcomes and develop high-quality summaries towards manuscripts and grant applications. • Draft manuscripts and figures for publication in high-impact journals Senior bioinformatic Research Scientist 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. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ 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 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Bioinformatic Research Scientist 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. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. 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

Summary The Bioinformatics Programmer and Analyst is responsible for designing, developing, and implementing computational tools and pipelines to analyze and interpret complex biological data related to genomics, proteomics, and other molecular information. This role involves working closely with scientists, researchers, and other stakeholders to ensure the efficient and accurate processing and... analysis of large-scale biological datasets. The Bioinformatics Programmer and Analyst will also contribute to the advancement of biological and biomedical research through the development of novel algorithms, software tools, and data analysis methods. Job Duties • Design, develop, and implement computational tools, pipelines, and algorithms for the processing, analysis, and interpretation of large-scale biological datasets, including genomic, transcriptomic, proteomic, and metabolomic data. • Collaborate with scientists, researchers, and other stakeholders to understand project requirements, develop data analysis strategies, and deliver customized bioinformatics solutions. • Maintain and update existing bioinformatics software tools and pipelines, ensuring compatibility with new data types, formats, and analysis methods. • Utilize and contribute to public and proprietary bioinformatics databases and resources to support research objectives. • Perform quality control and validation of data analysis results, ensuring accuracy, reproducibility, and compliance with industry standards. • Document and communicate analysis findings, including the creation of visualizations, reports, and presentations for both technical and non-technical audiences. • Keep up-to-date with advancements in bioinformatics, computational biology, and relevant research fields, and apply new knowledge and techniques to improve existing tools and methodologies. • Provide training and support to researchers and staff on the use of bioinformatics tools, resources, and data analysis methods. • Collaborate with team and project managers from BCM and other institutions to define software and analysis requirements • Contribute to analyzing genotype and sequencing data. Troubleshoot and maintain software in support of statistical and population genomics studies. • Handles initiation/implementation, troubleshoot and maintenance of analysis software in support to multiple genomic sequencing projects. • Track project data and report analysis results. Minimum Qualifications • Bachelor's degree in Computer Science, Biological Science, or a related field. • Two years of relevant experience. Preferred Qualifications • Master’s degree in a related field. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 18218

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

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

Title: Bioinformatics Programmer Developer ... This position is fully remote. BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely. NASA GeneLab is seeking a bioinformatics program developer with extensive experience processing large-scale ‘omics data from microbial communities (e.g. amplicon sequencing, metagenomics, metatranscriptomics, etc.), including both long- and short-read sequence data. The developer will support the data processing team in developing, maintaining, and running standard pipelines and workflows for processing sequence data and other omics datatypes from space biology experiments. An ideal candidate will have experience developing, installing, and running bioinformatics software and workflows on a high performing computing cluster, and support the space biology community with data processing-related questions. Essential Duties and Responsibilities: • Process and analyze biological data using various bioinformatics software and statistical methods. • Design, develop, and maintain various pipelines for processing bioinformatics data including (but not limited to) amplicon, metagenomic, and metatranscriptomic sequencing data, as well as Methyl- and bisulfite-seq, and proteomic data such as GC/MS data. • Design and develop data processing workflows using open-source workflow software (e.g. nextflow, snakemake) • Create, maintain, and update scripts to automate the validation and verification of processed data generated from each step of the processing pipelines. • Create, maintain, and update pipeline and workflow documentation on the GitHub platform. • Support user questions on analysis pipelines, tool installations, and processed data • Write technical documents and conduct training. • Create and document all actions, practices, procedures, and processes, and create troubleshooting. • documentation and Standard Operating Procedures • Perform other duties and assist with special projects and installments as needed. Required Education/Experience: • Bachelor’s degree in computer science, Bioinformatics, Statistics, Microbiology, Genetics or a related field and 5+ years of related experience, or a Master’s degree with 3+ years of related experience, or a Ph.D. with 2+ years of related experience. Required Skills/Training: • Expertise in programming and workflow languages for bioinformatics (R, bash, python, snakemake, and nextflow) and Linux operating system • Proficiency in basic omics data structure, algorithms, and statistical methods • Expertise in the use of bioinformatics tools and database resources for microbial communities and various model organisms • Relevant work experience in processing and analyzing amplicon, metagenomic, and metatranscriptomic sequencing data, and epigenomics data (Methyl- and bisulfite sequencing data), including both short- and long-read data. • Familiar with software development best practices and various stages in the DevOps cycle including version control (i.e., GitHub), testing frameworks, continuous integration/continuous deployment (i.e., GitHub, Action, Jenkins), work-flow managers (i.e., snakemake and nextflow), monitoring and collaboration. • Experience in applying appropriate data science techniques (e.g., statistical analysis and modeling, machine learning, prediction, and validation frameworks) to analyze a wide range of biological data (e.g., microbial, animal, in planta, NGS) is strongly desired. • Experience or familiarity using and configuring Amazon Web services (AWS) and cloud-based systems. • Ability to function in a fast-paced environment with minimal supervision. • Must possess organizational, multitasking and prioritization skills. • Ability to communicate effectively and have excellent team and collaborations skills. • Flexibility to support mission priorities. • Attention to detail and follow-through. Desired Education, Experience, Skills or Training: • Strong background and experience in statistics and statistical models and algorithms commonly used in analysis of life science data. • Relevant work experience in processing and analyzing variant call, GWAS, proteomics, and metabolomics data. • Experience with space biology research • Installing, configuring, and maintaining high performance computing tools • Experience with compute cluster job management tools (e.g. Slurm) Salary Range: $134K - $151k (This pay range is for the Mountain View, CA area only) KBR BENEFITS KBR offers a wide range of benefits for their employees; we offer medical, prescription, dental, vision, AD&D, disability benefits, retirement 401k, travel benefits, PTO, holidays, flexible work schedules, parental leave, military leave, education assistance, and the list goes on and on! We also support career advancement through professional training and development. INCLUSION AND DIVERSITY AT KBR At KBR, we are passionate about our people, sustainability, and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to and ongoing journey toward being a more inclusive and diverse company. That commitment is central to our team of teams philosophy and fosters an environment of real collaboration across cultures and locations. Our individual differences and perspectives bring enhanced value to our teams and help us develop solutions for the most challenging problems. We understand that by embracing those differences and working together, we are more innovative, more resilient, and safer. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and... advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed. Responsibilities Under general supervision and guidance: - The analyst/programmer is responsible for the support of moderately complex software-based systems in the supported areas. - Contributes to the design, development, implementation, and maintenance of custom software, or the installation and maintenance of purchased software systems. - Produces documentation such as systems requirements, designs, and plans as requested by the work unit leadership. - Work will be reviewed for quality, timeliness, and adequacy at predetermined milestones. Qualifications Working towards a PhD in Computer Science or related Informatics field with a GPA of 3.0 or greater. Experience with Java, SQL, and XML. Note: Visa sponsorship is not available for this position. Exemption Status Nonexempt Compensation Detail This position has a predetermined rate of $24.42 per hour. Benefits Eligible No Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday; 3 month appointment through end of August 2024. Weekend Schedule N/A International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Affirmative Action and Equal Opportunity Employer As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available. Recruiter Stephanie Baird