Bioinformatics Jobs

The Knott Laboratory at Cedars-Sinai Medical Center is seeking to hire a highly motivated computational scientist to fill the position of Research Bioinformatician II! The Knott laboratory is searching for a computational scientist with strong software engineering skills. We prefer this person have a background in single cell RNA sequencing or image analysis, or have experience studying the... spatial distribution of objects and their influence over one another. This research bioinformatician will lead the analysis of novel single cell sequencing and spatial data for a multidisciplinary team that is studying how cancer cells metastasize to distant organs away from the primary tumor site. To learn more, please visit: Knott Research Lab | Cedars-Sinai. The Research Bioinformatician II (RBII) performs general bioinformatics analysis and software support for projects involving in omics, and interacts with investigators to identify research problems, find appropriate software tools and recognize national biological databases and online resources for omic data. The RBII will also work with bioinformatics faculties to determine future bioinformatics needs, and helps to develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. The RBII will demonstrate continuous self-improvement, make effective contributions to the section, and adhere to CSHS compliance plan, code of conduct, and hospital and departmental policies and procedures. Primary Job Duties & Responsibilities: • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers. • Summarizes data analyzes results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data. • Develop, test, and maintain modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences • Manages data including loading and querying data from database systems, downloading omic data from public repositories • Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases, Ready to provide solutions for investigator’s problems through data mining and extraction • Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology • Assists or collaborates in the preparation of grant proposals, publications, and presentations involving omic data • Educate others about bioinformatics through mentoring and teaching colleagues, investigators, fellows, and graduate students. Education: • Master of Science Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics) is required. • Doctorate in Computer Science or a related computational field is preferred. Experience & Skills: • Three (3) years in a research environment. • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. • Previous experience with C/C++, Java, Perl, python, and the Unix (Linux) environment. • Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions. Working Title: Research Bioinformatician II - Knott Lab - Center for Bioinformatics and Functional Genomics Department: BMS - Bioinfo & Func Genomics Business Entity: Cedars-Sinai Medical Center Job Category: Academic/Research Job Specialty: Bioinformatics Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day Base Pay:$78,400.00 - $133,100.00

Job Summary: The UW-Madison Department of Bacteriology (https://bact.wisc.edu) seeks to hire a Research Cyberinfrastructure Specialist to support expanding computational microbiology research in our department. The research enterprise in the Department of Bacteriology encompasses premier research laboratories and facilities with missions to explore fundamental and complex questions in... microbiology, microbial ecology, and virology. The Research Cyberinfrastructure Specialist will advance the development and use of high-performance shared computing systems supporting diverse computational research in the Department of Bacteriology. This Research Cyberinfrastructure Specialist position reports to Dr. Karthik Anantharaman, and works closely with the faculty, staff, and members of the Department of Bacteriology. Responsibilities: Applies computational, computer science, data science, and cyber infrastructure (CI) research and development principles to provide advanced and varied consultation on research and technology integration and development. Provides non-routine maintenance, planning, and advanced troubleshooting to ensure CI resources meet research needs. Provides guidance and training to other staff and serves as subject matter expert for internal stakeholders. • 25% Serves as a CI domain expert, provides direct support of users, other staff providing support of users, and advanced computing systems • 25% Provides expertise and experience in CI to lead troubleshooting, analysis, operation, and support of advanced computing systems and for research • 35% Develops unique and custom Cyber Infrastructure solutions for research needs • 10% Writes and updates documentation and tutorials supporting CI activities for research. May provide brief courses for internal researchers and external collaborators • 5% Provides consultation and expertise for research proposals. May act as technical lead for cyber infrastructure projects. May serve as Co-Principal Investigator for a proposal Tasks: • Work with faculty, students and other researchers to understand their research needs and assist in experimental design and development of highly complex research methodologies that use high-throughput computing/bioinformatics. • Works with supervisor to set time committed to different research groups, maintains a record of the individuals who have been helped and the training or research outcomes • Analysis, operation, and troubleshooting of computational bioinformatics research • Promote and advocate the use of shared campus computational resources (such as CHTC) amongst researchers. • Provide assistance in interfacing with shared campus computational resources and enable training of researchers. • Assist researchers in integrating shared campus computational resources into their extramural grant applications. • Conduct assessments of continuous improvement. Continue to look for areas of improvement, research then develop processes, and then document/communication/train on those new processes. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion Education: Required Master's Degree Advanced degree in the biological sciences with a demonstrated track-record of bioinformatics/computational biology research (evidenced, for example, through peer-reviewed publications) Qualifications: - Advanced degree preferred in the biological sciences with a demonstrated track-record of bioinformatics/computational biology research - Bioinformatics experience in a broad array of areas, such as sequence analysis, protein analysis, metabolomics, etc. - Familiarity with Unix-based systems and demonstrated ability to code in at least one language (e.g. Perl, Python, etc). - Must be able to work constructively in a group setting Additional skills desired for the position: - Evidence of multi-disciplinary research collaboration across different fields of biology - Experience with high-throughput computing - Strong organization skills, evidence of independence, attention to detail, and ability to interact and manage a wide diversity of projects and researchers (faculty, students, technicians, etc). Work Type: Full Time: 100% Onsite with potential to migrate to hybrid in the future Appointment Type, Duration: Ongoing/Renewable Salary: Minimum $63,800 ANNUAL (12 months) Depending on Qualifications Additional Information: - The UW-Madison College of Agricultural and Life Sciences is committed to maintaining and growing a culture that embraces diversity, inclusion and equity, believing that these values are foundational elements of our excellence and fundamental components of a positive and enriching learning and working environment for all students, faculty and staff. At CALS, we acknowledge that bias, prejudice, racism, and hate have historically occurred in many forms that cause significant and lasting harm to members of our community. We commit to taking actions each day toward a college that is inclusive and welcoming to all. - A criminal background check will be conducted prior to hiring. - A period of evaluation will be required. How to Apply: Please click on the "Apply Now" button to begin the application process. The applicant tracking system will require that you either log in or create an account. Be prepared to upload ONE PDF document containing: 1) a current resume/CV; 2) a cover letter briefly describing your qualifications relative to this position as well as your vision for the position; and 3) Contact information for three (3) professional references, including at least one current or former supervisor. Contact: Karthik Anantharaman karthik@bact.wisc.edu 608-265-4637 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Official Title: Research CI Spec II(RE074) Department(s): A07-COL OF AG & LIFE SCIENCES/BACTERIOLOGY Employment Class: Academic Staff-Renewable Job Number: 278282-AS The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply. If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/ Employment will require a criminal background check. It will also require you and your references to answer questions regarding sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department

• Project involves developing multi-omics directed graph networks based on causal inference framework based on multiple data types (e.g., clinical, RNA-seq, epigenetic, proteomic, and/or genetic data). • Must be expert in at least one area of causal inference such as interpretable machine learning or data fusion problem, e.g., to reduce space of plausible causal relationships and how data from... multiple sources can be combined to make causal inferences. • Experience with machine learning in the context of causal inference, so that the predictive models are more than just a black box, is strongly desired. • Ideal candidate is experienced in both genomic data, causal inference, and machine learning, but the latter two are the most important. What are the top 3-5 skills, experience or education required for this position: • Machine Learning • scRNASeq data Analysis • OMICS Data preprocessing and Analysis What is a nice to have (but not required) regarding skills, experience, education, or certification: Bayesian causal modeling and Inference, Experience in Real World Data Analysis In what type of environment, would this individual be working? (i.e.: Team; Individual; type of office, etc) Team • Designs, deploys and maintains various cross-functional solutions, business processes, and associated technologies such as statistical computing environment, metadata repository, output delivery depot and standard macro library. • Delivers optimization of end-to-end business processes that enable quality and efficiency such as process maps, SOPs, and work instructions. Drives change management by conceiving and operationalizing innovation and facilitating adoption across teams. • Engages with multi-disciplinary experts to influence, elicit, analyze and document business requirements and translate into technology functional requirements. Leverages project management tools and software development methodologies to manage resources, mitigate risk and deliver on commitments. • Evaluates and recommends: upcoming industry trends, best practices, cutting-edge tools and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing. • Ensures adherence to global and local agency regulations, good clinical practices (GCP), ICH guidelines, SOP's and functional quality standards. Qualifications: • B.S. in computer science, data science, statistics or a related field with 1-3 years of relevant experience. M.S. preferred. • Demonstrated understanding of clinical research with emphasis on statistical programming. • Fundamental knowledge of CDISC standards and CDISC compliant submission requirements. • Intermediate-level proficiency in SAS, R, python, shell scripting or other programming languages. Intermediate-level knowledge of statistical and data mining techniques. • Demonstrated problem-solving, analytical and multitasking skills. • Ability to effectively communicate complex analytical and technical concepts with clarity, both written and oral. • Programming certifications and proficiency in multiple programming languages desirable. • Familiarity with various programming paradigms and IT system architectures desirable

Bioinformatics Scientist will be responsible for assisting research and development team in a collaborative and multi-disciplinary effort in developing and validating OmniSeq's molecular diagnostic and next generation sequencing based bioinformatics analysis pipelines, along with playing an important role in additional research related projects in the field of clinical oncology. Bioinformatics... scientist will interact extensively with members of bioinformatics team, software development team, wet-lab experts and clinical pathologists. She/He will be expected to utilize NGS data analytical skills including but not limited to analytical validation, QC, exploratory analytics, hypothesis testing, reporting/presenting scientific results in a comprehensible manner. Essential Duties • Support the analytical validation analysis and reports for ongoing and future NGS assays. • Contribute to design, development and implementation of computational workflows for internal R&D goals. • Support research teams using cutting edge data analysis and statistical approaches in order to investigate complex genomic datasets including DNA-seq, RNA-Seq, TCR- repertoire, Microbiome, etc. • Collaborate with bioinformatics pipeline engineers and software development teams to design and analyze clinical datasets . • Present scientific findings, results and brainstorm ideas collaboratively with the scientific teams. Requirements • PhD in Bioinformatics, Computational Biology, Biostatistics or closely related fields. PhD with 0-2 years’ experience or Master with at least 2 years’ experience in a NGS field. • Experience with NGS data analysis required. • Industrial experience preferred but not required. • Proficient in programing languages such as Python, R and shell script required. • Proficiency is statistical analysis is required. • Demonstrate strong scientific understanding of cancer genomics and show a capability for independent and critical thinking. • Confident, proactive individual capable of taking the initiative and driving to results. • Solid organizational skills and independent drive to sustain productivity and meet deadlines. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. For more information about how we collect and store your personal data, please see our Privacy Statement

Computational Biologist III, Department of Bioinformatics – Data Science Shared Resource Why UT Southwestern ... With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As one of the world’s foremost research institutions, UT Southwestern Medical Center is known for our life-changing research that has led us to 6 Nobel Prizes. With an administrative career in our esteemed Internal Medicine Department, you will be a key part of our multidisciplinary research facility with opportunities to work with leaders in patient care and medical research. We invite you to be a part of the UT Southwestern team where you’ll discover a culture of teamwork, professionalism, and a rewarding career! Why Join the DSSR Team? The DSSR provides services for researchers in the Harold C. Simmons Comprehensive Cancer Center at UT Southwestern Medical Center, one of the nation’s premier institutions for innovative basic science, translational cancer research, and the highest quality cancer treatments. Joining the DSSR team offers the opportunity to engage in different aspects of cancer research including basic, translational, clinical, and population research. The DSSR team utilizes UT Southwestern’s Biomedical High Performance Computing resource (the BioHPC), which provides both CPU and GPU-equipped nodes, high-end file storage systems, and hosts a broad array of advanced analytical tools and software. As a member of the DSSR team your computational biology skills will contribute to cancer research innovation that improves patient outcomes. Job Summary UTSW is seeking a Computational Biologist III with excellent critical thinking and analytical skills to join the newly launched team of Data Science Shared Resource (DSSR). The DSSR is hosted by the Lyda Hill Department of Bioinformatics to provide high-quality, comprehensive bioinformatics and data analytics services to the cancer research community at UT Southwestern Medical Center. The DSSR team, led by Dr. Jeon Lee, is recruiting a diverse and enthusiastic team of Computational Biologists at levels I, II and III. The responsibilities of these positions include providing bioinformatics and data analytics services, assisting with access to publicly available datasets and bioinformatics tools, and developing/maintaining in-house computational pipelines. The responsibilities may also include supporting scientific publications or grant applications, teaching bioinformatics and computational tools/pipelines, and presenting analysis results within the cancer research community or to the public. The successful candidate will be one who can confidently analyze various biomedical data, including but not limited to next-generation sequencing (NGS) data, multi-omics data, and immunofluorescence (IF) images, and can accurately and efficiently deliver analysis results to collaborators. The successful applicant is expected to be familiar with Linux system and fluent in relevant computational languages such as R, Python, and/or MATLAB. Experience and Education Minimum Requirements • Ph.D. in a related field of science or technology, and four (4) years related research experience in bioinformatics and computational biology. OR • Master's degree in Computer Science or a related field of biological science, and six (6) years related research experience in bioinformatics and computational biology. OR • Bachelor's degree in Computer Science or a related field of biological science, and eight (8) years related research experience in bioinformatics and computational biology. Job Duties • Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. • Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. • Collaborate with Principle Investigator ( PI ) to identify and develop new concepts and programs for data collection and analysis. • Use expert knowledge to develop new methods and techniques for obtaining solutions. • Perform, or direct others to perform, complex data analysis related to specialized research methodologies and results. • Manage assigned research projects with minimal input from PI. Direct projects with undefined time lines and uncertain outcomes, requiring analysis from multiple perspectives. • Use bioinformatics tools and related laboratory and public databases to support research objectives. • Oversee development of software to support new and ongoing research projects. • Oversee resolution of hardware, software, and network issues in support of laboratory objectives. • Oversee the development and maintenance of complex databases to support new and ongoing research projects. • Oversee the training of laboratory staff in the use of pertinent research systems. • Prepare research reports for presentation, and assist with preparation of manuscripts for publication. • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance. • Perform other duties as assigned. To learn more about the benefits UT Southwestern offers visit https://www.utsouthwestern.edu/employees/hr-resources/ For general COVID-19 information, applicants should visit https://www.utsouthwestern.edu/covid-19/work-on-campus/ This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for... patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Overview The Staff Bioinformatics Scientist will work alongside engineering, chemistry and assay teams on R&D projects delivering new sequencing platforms and technologies. In this role, the Staff Scientist will represent bioinformatics in cross-functional programs: • defining bioinformatics milestones and requirements • supporting data analysis • development of novel tools and pipelines • contributing to experimental design and project strategy In addition to strong bioinformatics and programming skills, this position requires a high degree of initiative and cross-team collaboration, as well as a thorough understanding of the product development process. Responsibilities • Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products • Represent bioinformatics in a product development team, and be able to establish work priorities and communicate / delegate tasks to other sub-team members as needed • Contribute to the planning and execution of a comprehensive strategy for assessing quality of data from novel technologies • Analyze, integrate, model and interpret experimental data • Develop, document, and maintain reusable programming code • Support and troubleshoot existing processes and provide guidance on potential enhancements • Communicate and collaborate with scientific, bioinformatics, engineering, and software teams across multiple sites to design, develop, and validate products • Translate analysis results into practical recommendations for technology development • Be a technical representative on cross functional initiatives Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs. Requirements • Strong programming skills and experience with several programming languages, such as Python, R, etc. • Experience with Unix/Linux environments, including shell scripting and High Performance Computing (HPC) cluster usage • Data analysis and visualization of large datasets and next-generation sequencing data • Familiarity with common bioinformatics pipelines and data formats • Solid understanding of statistical and biological concepts Desired • Experience in designing or architecting automated workflows • Familiarity with collaboration and product development tools (confluence, JIRA, JAMA) • Familiarity with next-generation sequencing technologies • Strong communication skills and a history of collaboration with teams from diverse background Education Masters/PhD in bioinformatics, computer science, data science, engineering, mathematics or equivalent Experience Typically requires a minimum of 6 years of related experience with a Master’s degree; or a PhD with 3+ years of experience; or equivalent experience The estimated base salary range for the Staff Bioinformatics Scientist role based in the United States of America is: $149,600 - $224,400. Should the level or location of the role change during the hiring process, the applicable salary range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off. At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and demonstrate our collective commitment to diversity and inclusion in the communities we live and work. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

Description Expected Starting Salary Range: 27.60 - 35.28... SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data. REPRESENTATIVE RESPONSIBILITIES • Management and "wrangling" of genomic data. • Help manage Xenopus genomes and participate in genome annotation and gene nomenclature. • Perform gene orthology and genomic synteny analysis. • Help test newly developed code and provide feedback for developers. • Work with biocurators and developers on the technical specification of new features for the website. • Participate in data analysis and development of new ways to visualize data. • Help manage data exports for public use and data exchange with other databases (e.g., NCBI, UniProt). • Co-author reports and publications and give presentations at national and international meetings and workshops. •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. •Data Analysis Executes pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based bioinformatics tools and public/proprietary relational databases. Follows standard operating procedures. 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. Contributes to problem-solving and solution evaluation. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Under general supervision, assists with implementation and testing efforts. 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. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor's degree in Bioinformatics and Genomics or related degree • 0 - 2 years of work experience in a related job discipline Preferred: • MSc or PhD degree in bioinformatics and genomics. • Experience working with genomic data • Experience with a programming language such Python • Experience with standard bioinformatic tools, analyses, and file formats (Genome Browsers, JBrowse, BLAST, BLAT, multi-sequence alignments, GFF, GTF, etc). • Strong interpersonal and communication skills, including excellent written and spoken English. • Demonstrated experience documenting code, pipelines and workflows • Demonstrated ability to work in a team as well as independently, efficiently (i.e., both quickly and accurately) • Preference will be given to an applicant with: • Experience with other genomic databases • Experience in relational databases, data annotation/biocuration. • Experience in analyzing genomics data, using genome browsers and common bioinformatics tools. • Experience with Git based version control, particularly GitLab, and continuous integration. • Experience in constructing and maintaining bioinformatic pipelines. 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

Junior Bioinformatics Analyst Job ID: req3312... Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software. The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. KEY ROLES/RESPONSIBILITIES The Bioinformatics Analyst I is responsible for assisting with collaborative bioinformatics support to the investigators at the National Cancer Institute (NCI). • S/he is responsible for • running analysis and assisting interpretation of high-throughput NGS datasets • preparing output and reports to support decision making • designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data • preparing and delivering presentations and posters • The Bioinformatics Analyst I is expected to • work effectively and collaboratively with colleagues across NCI and FNL; • coordinate activities among other groups located at the Bethesda (majority time), Frederick, Rockville and Gaithersburg NCI campuses; • follow sound scientific practices and maintain effective documentation of activities and analyses; • maintain an understanding of developments in the Bioinformatics field; • develop and document analysis standards consistent with NCI protocols BASIS QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of Bachelor’s degree in Computer Science, Math or Biomedical Science related field from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency • Must be able to obtain and maintain a public trust clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • A Masters’ or PhD degree in any quantitative science is preferred • Commitment to solving biological problems and communicating these solutions • Ability to multi-task across projects • Experience in submitting data sets to public repositories • Management of large genomic data sets including integration with data available from public sources • Experience evaluating and comparing different computational pipelines for NGS data analysis EXPECTED COMPETENCIES: • Some understanding of and experience in processing high throughput biomedical data: data cleaning, metadata management, normalization, analysis, interpretation and visualization • Ability to understand and analyze data from complex experimental designs • Proficiency in at least two of the following programming languages: Python, R, Perl, Java and C/C++ • Basic Understanding of: Exome sequencing, metagenomics, ChIPSeq, RNASeq, DHS-Seq, microarray analysis, DNA methylation analysis • Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose • Knowledge of working in a cluster environment • 2 years of experience Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

We are looking for an enthusiastic Bioinformatics Scientist to work in close collaboration with scientists from diverse fields and who can lead independent scientific projects. You will develop and maintain innovative bioinformatics methods and computational pipelines running on high-performance computing platforms that help the Regeneron Genetics Medicines group create next generation therapies... using gene editing and gene insertion. Your role will involve working on innovative technologies like Adeno-associated viruses, CRISPR-Cas9, deep mutational scanning, and using machine learning methods to treat of cure disease. Working in the Molecular Profiling and Data Science department will also give you the opportunity to participate in collaborations in many facets of research and development, ranging from machine learning and inference of statistical models for genotype-phenotype assay data through to the assessment of therapeutic antibodies and other biologics that drive Regeneron’s therapeutics. As a Scientist-Bioinformatics, a typical day might include the following: • Develop and maintain bioinformatics pipelines and carry out bioinformatics analysis using languages such as Shell, Python, and R, and use HPC platforms in a Linux/cloud-based environments. • Develop machine-learning and statistical frameworks to get insights from large sequencing data sets and work on generative models to optimize and generate novel biological sequences with desired properties. • Building tools to characterize gene insertion and analyze NGS data using short and long-read sequencing. • Work with other bioinformaticians to enhance existing pipelines, share methodologies, and develop standard processes. • Conduct independent computational biology research aligned with the department’s overall goals. • Collaborating extensively with wet-lab biologists to design the best experiments and NGS readouts. This job might be for you if: • Want to contribute to the advancement and design of next generation genetic therapies and improve health outcomes. • Like working at the interface between computation and experiments. • Have a strong computational background and enjoy creating new methods. • Like diving deep into data, including analyzing raw NGS reads. • Can effectively communicate complex concepts to collaborators from a wide range of backgrounds. • Want opportunities to showcase and publish your work. To be considered for this role, you must have a PhD degree (or master’s degree with 4 years of relevant experience) in Computational Biology, Bioinformatics, Quantitative Biology, Computer Science, Applied Mathematics, Physics, or related quantitative fields. You must have experience conducting bioinformatics analysis at either the gene or sequence level, have experience with machine learning methods, and have a strong background (3+ years) in Python and/or R. Strong familiarity in working in a Linux environment, and shell scripting is desirable. Strong familiarity with HPC environments is also high valued. Familiarity with code version control systems such as git and testing code (e.g., unit- and functional-tests) a strong plus. Experience with front-end web application development would be a plus. #LI-hybrid Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $88,500.00 - $144,500.00