Bioinformatics Jobs

Description Computational postdoctoral positions in bioinformatics and epigenomics (computational/experimental) are available at Dr.Yaping Liu's lab in the Division of Human Genetics. One of the research directions in Dr. Liu's group is to study single-cell multi-omics data to understand the gene regulatory mechanism behind non-coding genetic variants. We have already developed several... single-molecule (e.g. NOMe-seq, Kelly & Liu et al. 2012 Genome Research) and single-cell multi-omics technologies (e.g. single-cell Methyl-HiC, Li & Liu et al. 2019 Nature Methods). We are continuing to develop several novel multi-omics technologies ourselves (e.g. https://doi.org/10.1101/2022.03.29.486102), which have been supported by multiple internal and long-term NIH grants now. The new postdoctoral position is going to work on our own single-molecule and single-cell multi-omics technologies, integrate multi-omics signals from the same single cell, and finally understand the regulatory roles of non-coding genetics variants in the heterogenous cellular system. MAJOR DUTIES AND RESPONSIBILITIES: • Provides expert-level knowledge in data characterization, annotation, quality assessment and discovery for various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). • Designs, develops, and evaluates scalable, searchable, and secure data structures, utilizing and expanding data standards. • Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients. Designs computational infrastructures to controls the flow of data and information for studies. • Maintains expertise in public and proprietary bioinformatics tools. Contributes to the development of data and analytical standards and operating procedures based on scientific literature and best practices. • Present research at laboratory meetings, journal clubs, seminars, and meetings. • Draft, write, and edit scientific reports, papers, journal articles, abstracts, and grants. • Maintain currency in field through continuing education, literature, and seminars. • Attend required Cincinnati Children's training sessions and ensure regulatory compliance with all policies and procedures. • Perform other duties as assigned. Cincinnati Children's Research and Training at a Glance • Among the top in NIH funding for pediatric research institutions • Over 1.4 million square feet of research laboratory space • 900+ scientists conducting basic, translational, and clinical research • Over 2000 publications annually in top-tier journals • Access to Employee Resource Groups and Mentorship programs • Postdocs have gone on to careers in academia, biotech, pharma, teaching etc. Learn more about the Postdoctoral Fellowship Program. Compensation and Benefits • Postdoctoral Research Fellows and Associates are eligible for: • Group Health, Dental, and Vision Insurance Plans • Paid Time Off • Retirement Plan • Tuition Reimbursement • Relocation Benefits for Eligible Hires Learn how Cincinnati Children's is building a diverse workforce!. Living in Cincinnati • About Cincinnati • Living in Cincinnati • Neighborhoods Qualifications EDUCATIONWORK EXPERIENCE: For Research Fellow: REQUIRED • Ph.D. in related discipline, MD, or equivalent degree For Research Associate: REQUIRED • PhD • 3 - 5 years of work experience in a related job discipline PREFERRED • Highly motivated in scientific research • Ph.D. (recent/expected) in computational biology, bioinformatics, genomics or quantitative research fields. • Proficiency with at least one high-level scripting language (R or Python) and Linux operating system (Bash). • Excellent quantitative background in statistics and machine learning, and/or computational genomics background. Familiarity with large-scale next-generation sequencing (NGS) data analysis (WGS, WGBS, RNA-seq, ATAC-seq and/or related) and/or single-cell multi-omics. • At least one decent first or co-first author SCI paper published or accepted. • Effective communicator (spoken and written) REQUIRED SKILLS: Excellent written, verbal, and interpersonal communication skills. Demonstrate attention to detail, strong organizational skills, supervisory ability, and an innovative approach to experimental design. Outstanding computer literacy and in-depth knowledge of software applications. Analytical ability sufficient to perform complex data comparisons; mathematical ability sufficient to perform complex algebraic calculations and statistical analysis. Ability to synthesize information and to create and deal with new situations by applying past experiences. Expressed willingness to teach others and share results. Capable of meeting time demands necessary to execute experiments

Job Summary The Bioinformatics Core at Purdue supports biological research efforts across the University through data analyses combining research in biology with information technology in order to collect, analyze and interpret data. In this role, you will use computational tools to gather and analyze data, compile vast amounts of information from activities such as gene expression profiling and... epigenomics, etc., especially in non-model organisms and consult with other scientists and researchers to analyze data sets, collaborate with other 'omics' centers. Additional duties will include: • Assist the Director in managing the core, develop new services, market current services, developing and conducting workshops and developing pipelines for data analysis • Perform analysis of sequencing data from various sequencing platforms using different software packages and in-house scripts • Analyzing large scale genomic and transcriptomic data, developing project specific workflows • Validating various software packages • Help the director to plan and implement analysis methods and manage the projects • Document the analysis process, workflows, interpret results, and help other staff to maintain these standards • Attend conferences, trainings, seminars, and professional group meetings Required: • Ph.D. degree in Bioinformatics, Computational Biology, Molecular Biology or related field • 3 years of experience working in a core facility or similar settings • An equivalent combination of education and experience may also be considered • Strong biological science background, preferably non-model organisms; experience in genomics, and experience in handling large data sets from various NGS platforms • Experience in handling large and complex data sets with particular emphasis on Next Generation Sequencing and associated bioinformatics analyses • Experience in the use and application of bioinformatics software and tools to address biological research needs • Experience in training and supervising graduate students and staff working in bioinformatics analyses • Experience in SNP identification and detection, CNV analysis, RNA-Seq, ChIP-Seq, Metagenomics/Metatranscriptomics analyses • Experience in using UNIX/LINUX OS and PERL/Python scripting • Experience in using 'R' • Knowledge of genomics concepts, including sequence assembly, gene prediction and annotation, alignment etc. • Must be able to communicate effectively with users of the Bioinformatics Core • Highly motivated and detail oriented • Strong visual, verbal, and written communication skills • Excellent time organizational skills Additional Information: • All new hires will be expected to follow Protect Purdue guidelines • To learn more about Purdue’s benefits summary • A background check will be required for employment. • FLSA: Exempt (Not Eligible for Overtime) • Retirement Eligibility: Defined Contribution Immediately • Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply

Overview St. Jude Children's Research Hospital is seeking highly motivated individuals to join our Cancer Genomics team at the forefront of the application of NGS technologies to the clinical management of cancer patients and wants to make a difference in the lives of children with catastrophic illnesses. New team members will analyze and classify somatic and germline genetic alterations in... pediatric cancer patients ascertained from whole genome, whole exome, and transcriptome sequencing and present findings to pathologists, oncologists, and genetic counselors. They will work closely with our bioinformatics pipeline and visualization teams to help develop or refine novel analytical approaches that aid molecular classification of cancer and clinical reporting in pediatric cancer patients. Successful candidates may also contribute to bioinformatic research projects concerning the pediatric cancer genome. Ideal candidates will have a deep understanding of cancer biology and expertise in genomic and transcriptomic variant analysis through NGS. We are interested in individuals with expertise in the classification of germline variation in the context ACMG guidelines for clinical variant interpretation, as well as somatic variation. Prior experience within a CAPCLIA clinical environment and experience in clinical test development and validation is desirable. Recognized as a world leader in deciphering the genetic landscape of pediatric cancer, St Jude Children’s Research Hospital has developed state-of-art computational infrastructure, well-established analytical pipelines, and deep genomic analysis expertise applied comprehensively to all of its cancer patients. Bioinformatic Research Scientist The Bioinformatics Research Scientist will work as part of a team of genomic analysts who evaluate and interpret comprehensive NGS data from whole genomes, whole exomes, and transcriptomes of pediatric cancer patients to assist clinicians in deriving diagnoses and treatment plans. Expertise in the recognition and interpretation of somatic and germline variation is essential, and knowledge of cancer biology is preferred. The incumbent performs data analysis and data visualization using existing analytical pipelines for NGS data processing to characterize pediatric cancer patients' tumor and germline genomes and reports results to a team of Molecular Pathologists. Pathogenic genomic variants are deposited in the patient's medical records for use by Oncologists in the clinical management of the patient. The successful candidate must also participate in software testing of routine pipeline improvements and the development of novel analytical approaches to tumor genome characterization. This individual will also provide bespoke bioinformatic analyses as required to decipher unusual tumor genomes and communicates analytical results to clinicians. Occasionally the incumbent will participate in preparing and submitting manuscripts for publication. The successful candidate must contribute ideas to automate or improve existing analytical methods and innovative algorithm development. The Bioinformatics Research Scientists assist with establishing and documenting protocols and standard operating procedures to ensure that clinical genomics testing meets CAPCLIA requirements for accreditation and reporting. Sr.Bioinformatics Analyst The successful candidate will be part of a team composed of genomics scientists and bioinformaticists responsible for maintaining and extending computational genomics pipelines to analyze and characterize tumor and germline genomes of cancer patients at St. Jude Children’s Hospital. The incumbent must have the facility of reading extant programs written in a variety of languages for troubleshooting or refactoring legacy code, as well as developing new pipelines to take advantage of cutting-edge cancer genomics research. The incumbent is responsible for advanced analysis of biomedical data produced from next-generation sequencing platforms including WGS, whole exome and deep sequencing capture array, and whole transcriptomes. The successful applicant will develop, improve, modify, and operate data analysis pipelines with minimal supervision. The bioinformatics analyst will develop bioinformatics pipelines or use extant software to conduct data analysis of biomedical datasets. Works closely with genomics analysts, scientists, and clinicians to provide technical consultation, generate/provide analysis results and reports, project reports and perform requested custom analyses. Perform statistical analysis of results and interprets results under supervision. Ability to evaluate and recommends software tools to meet the growing needs of St Jude Children's Research Hospital SJCRH) is critical. Excellent written and oral communication skills are required. Responsibilities Bioinformatic Research Scientist • Provides clinical support and delivers high-quality results. • Formulates an efficient analytical approach with NGS data. • Helps document the analytical processes. • May participate in manuscript preparation concerning interesting patient’s who are consented for research. • Participates in establishing and documenting protocols or best practices for standard clinical tasks. • Formulates analytical plans using the best approach to address data analysis questions in challenging patients. • Participates in the evaluation and testing of new methods and technologies. • Contributes ideas to automate or improve existing analytical methods. • Implements the improvement or works with programmers and computational biologists to do so. • May develop reusable code and pipeline components • Upon occasion participates in the department's independent research and interdepartmental team projects. • Performs other duties as assigned to meet the goals and objectives of the department and institution Sr. Bioinformatics Analyst • Analyzes genomic data produced from next-generation sequencing systems. • Performs advanced statistical analysis, algorithm implementation, and bioinformatics programming. • Evaluates data for quality assurance, and mine bioinformatics databases. • Is proficient with national and international genomics data repositories such as the UCSC Genome Browser, the Genomic Data Commons, the ICGC Data Portal, dbGaP, the National Center of Biotechnology Information, PubMed, and others. • Proven experience in developing analytical pipelines with both local compute clusters and cloud computing. • Is proficient in one or more scripting languages for manipulation of large data sets such as R, Python, Java, Ruby • Performs analysis and develops software support requirements. • Assists senior analysts and scientists in the courses and training in biological computing, data mining, and analysis. • Establishes protocols or best practices for common research tasks • Documents standard operating procedures (SOPs) on wiki pages. • Makes these protocols available to other group members and to interdepartmental investigators. • Assists with the preparation of graphs, charts, and figures for documentation of software validation and presentations. Minimum Education • Bachelor's degree is required Minimum Experience Bioinformatics Research Scientist • Seven (7) years of relevant post-degree work experience is required • Five (5) years of relevant post-degree work experience is required with a Master's degree • Two (2) years of relevant post-degree work experience is required with a PhD Sr. Bioinformatics Analyst • Four (4) years of relevant experience is required. • One (1) year of relevant experience may be acceptable with a Master’s degree Other Information St. Jude is an Equal Opportunity EmployerNo 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.COVID-19 vaccine: St. Jude Children’s Research Hospital has mandated the COVID-19 vaccine for all employees, excluding those with an approved medical or religious accommodation, as a condition of employment. F1455

SENIOR BIOINFORMATICS SCIENTIST $140,000-$160,000... SAN DIEGO, CA THE COMPANY This series A biotech company is looking for a Senior Bioinformatics Scientist to join their growing team in San Diego. This role would be working in drug development and creating on-demand therapeutics. THE ROLE In this role you can expect to: Analyze large-scale NGS datasets Develop bioinformatics pipelines and infrastructure Integrate internal and external data YOUR SKILLS AND EXPERIENCE: PhD in Computational Biology, Bioinformatics, Computer Science NGS data analysis Proficient in Python, Rust or Julia Cloud computing experience highly desirable Previous bioinformatics tool development highly desirable THE BENEFITS: $140,000-$160,000 Competitive benefits Equity 401K Unlimited PTO HOW TO APPLY Please register your interest by sending your CV to Ashley Biscailuz via the Apply link on this page

Synlico is taking a different approach to understand biological system and process. The company is seeking talented, ambitious researchers to develop cutting-edge computational tools to understand individual cells and new technologies to enable more accurate prediction of biological system. The company’s research is highly interdisciplinary, involving system biology, genomics, bioinformatics... mathematics, and highly team oriented. The bioinformatics scientist position will utilize single-cell, bulk and spatial transcriptomes as well as other omics data, public and internal, to generate biological interaction networks and model. The candidates will need to Identify and develop optimal algorithms and workflows to analyze large scale single cell/bulk/spatial transcriptomics datasets from internal, publicly available, commercial, and real-world datasets. He/She will develop and implement quality assessment, and data visualization for single cell/bulk/spatial transcriptomics data. Qualifications: A Ph.D. in bioinformatics, genomics, computer science or related field with strong hands-on analytical experience of single cell, bulk and spatial sequencing data. Familiar with building data analysis pipelines and visualization for single-cell, bulk and spatial sequencing data Fluency in R/Python/TensorFlow for data analysis, multi-omics data integration, or molecular interaction network modeling Experience with machine learning and network modeling approaches applied to biological systems Demonstrated experience working with public database. Ability to work independently and within a team H1B/O-1 will be provided to qualified candidates

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/Cardiology Salary Range... Commensurate with Experience Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 2 Work Schedule: Days, 8 hrs/day, Mon - Fri As a federally-funded institution, UC San Diego Health maintains a marijuana and drug free campus. New employees are subject to drug screening. #115257 Bioinformatics Programmer I Extended Deadline: Tue 8/23/2022 Apply Now For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy UCSD Layoff from Career Appointment: Apply by 04/04/2022 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 04/14/2022. 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, but will not be responsible for algorithm development. Proficiency in python, R, UNIX, and git version control systems required. AWS experience 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 to process genomics data. Responsible for lab computer and software maintenance and coordination with other computer facilities. Will independently perform cell culture experiments with human ES cells to investigate mesoderm and cardiovascular formation. 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 biological science, computational / programming, or related area and /or equivalent experience/training. • Basic knowledge of bioinformatics methods and data structures. • Demonstrated experience collecting, processing, and analyzing genomics data. • Proven knowledge of applications programming and web development. • Experience with functional programming, the R class system (both S3 and new classes), the R packaging system, R methods and generic functions. Knowledge of Apache server on Linux, scripting and familiarity with Internet protocols. • 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 • Proficiency in python, UNIX, and git version control systems. • 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.). SPECIAL CONDITIONS • Employment is subject to a criminal background check. Apply Now Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). 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

Why CHOP? CHOP is No. 1 on Forbes’ 2022 list of America’s Best Large Employers! We are so proud to share that we are ranked No. 1 on Forbes’ 2022 list of America’s Best Large Employers. Our employees are the reason CHOP is such a great place to work, and they have navigated the uncertainties of the pandemic with strength, resilience and an unwavering commitment to our mission. Forbes article... featuring our President and CEO Madeline Bell. INSIDE CHILDREN’S HOSPITAL We’ are always learning, growing and exploring in our effort to deliver the highest quality, compassionate, family-centered care. Beautiful Breakthroughs. Every Day. Learn More. At Children’s Hospital of Philadelphia (CHOP), we help children grow and thrive — and we offer these same opportunities to the professionals who make up our team. CHOP is a unique work environment, with exceptional team members, supportive managers and state-of-the-art training. Our employees are all empowered to realize their well-defined goals, because we believe everyone makes a difference — it’s the very foundation on which our hospital is built. Job Summary The Bioinformatics Group in the Department of Biomedical and Health Informatics (DBHI) at The Children’s Hospital of Philadelphia (CHOP) is seeking a level III Bioinformatics Scientist to join a group of professional bioinformatics scientists in the Bioinformatics Group within the Department of Biomedical and Health Informatics (DBHI). The Bioinformatics Scientist will attend project meetings and interact with the laboratory groups on a project-by-project basis. The Scientist will be expected to lead analyses and require minimal supervision by an experienced bioinformatician and the full support and experience of more than 20 experienced bioinformatics scientists in our collegial and collaborative group. The successful candidate will have had either academic or on-the-job training in translational or basic research, especially in functional genomics projects. They must have demonstrable productivity in bioinformatics, with at least five (5) years of experience (inclusive of focused academic research training) in bioinformatics projects utilizing Python as well as the R programming language. Demonstrated ability to perform statistical analysis of bioinformatics data, such as with R and Bioconductor, is required. In addition to general bioinformatics experience, we require evidence of significant contributions to projects in at least two of the following areas: transcriptional analyses, epigenomics/genetics analyses, single-cell omics profiling, biomarker development, or high-throughput proteomics. Other application skills in bioinformatics, such as methods development and applications such as in machine learning or data integration efforts will be a plus. The successful candidate should be able to work in cross-site teams on deadlines and have strong communication and listening skills. The candidate must be able to manage multiple projects and be prepared to work both independently and on collaborative efforts to complete projects within expected timelines. The candidate should be ready to commit to full data and research reproducibility. Interviewees will be asked to give a project presentation and complete a basic programming and analytical task as part of the interview process. Job Responsibilities Pre-Analysis (10%): Actively participate in the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. Lead development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances Coding (10%): Code and generally support code and applications on behalf of collaborative project and/or team. Master best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations Lead peer-to-peer code reviews by participating in informal and formal critical code reviews Data Analysis (30%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team Lead regular peer-to-peer review of analysis plans in both informal and formal settings Develop multiple specialty analytical areas that serve one or more collaborative teams Lead adoption of best practices in specialty analytical or biomedical areas by the bioinformatics group and peers Collaboration (30%): Lead bioinformatics portion of scientific collaborations as the primary bioinformatics resource As bioinformatics point, assume management role for projects of low-to-moderate complexity, including all aspects of timelines, risk identification and mitigation strategies, and communication mechanisms Directly manage all elements of project satisfaction and performance relative to scientific project aims Promote continual objective, hard discussions about overall health of project and relationship Develop new collaborations with moderate degree of supervision Academic Output (20%): Lead project-based presentations, grant sections, and manuscript sections with subsequent review by peers and mentors Regularly coordinate and write bioinformatics-focused manuscripts and publications Regularly coordinate and lead podium presentations and posters Proactively contribute to entire bioinformatics and other sections of grant and award proposals Required Education & Experience Master’s degree At least five (5) years of experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation Preferred Education Doctorate’s in biological or computational discipline Additional Technical Requirements Ability to, under supervision, conceive of, plan, implement, validate, and disseminate entire research projects is required. Ability to assume principal investigator or similar role in academic research is preferred. Strong UNIX/LINUX expertise required. Proficiency in R or similar commonly used bioinformatics language required Experience with Python, Perl, or other languages required. Experience with pipeline or workflow development frameworks preferred. Experience with management and analysis of complex data types required. Proficiency in various open source and commercial bioinformatics resources and software required. Experience with genomic/proteomic data analysis methods required. Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture required. Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is required. Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is required. Ability to leverage unique knowledge of bioinformatics, applied biostatistics, molecular biology, and measurement platforms for effective scientific discussion with biologists and clinicians is required. Ability to determine most favorable academic output as a primary research outcome is preferred. Ability to objectively critique results and present as valid or questionable, taking into account all aspects of study design, technical issues, and limitations of workflows is required. Excellent organization and communication skills with an emphasis on strong presentation skills Ability to independently plan and execute analyses of moderate complexity required To carry out its mission, it is of critical importance for the Children’s Hospital of Philadelphia (CHOP) to keep our patients, families and workforce safe and healthy and to support the health of our global community. In keeping with this, CHOP has mandated all workforce members on site at any CHOP location for any portion of their time be vaccinated for COVID-19. This mandate also applies to workforce members performing work for CHOP at non-CHOP locations. The CHOP COVID-19 vaccine mandate is in alignment with applicable local, state and federal mandates. CHOP also requires all workforce members who work in patient care buildings or who provide patient care to receive an annual influenza vaccine. Employees may request exemption consideration for CHOP vaccine requirements for valid religious and medical reasons. Please note start dates may be delayed until candidates are fully immunized or valid exemption requests are reviewed. In addition, candidates other than those in positions with regularly scheduled hours in New Jersey, must attest to not using tobacco products. EEO / VEVRAA Federal Contractor

Travel Required: Less than 10% Public Trust: NACI (T1) Requisition Type: Regular... GDIT is seeking a Bioinformatics Scientist providing genomic analysis support to improve the vaccine virus selection for influenza and SAR-CoV-2. Background: Genomic surveillance of influenza and SARS-CoV-2 integrated with classic epidemiology facilitates the detection of new epidemic variants and provides complete and accurate information about viruses posing a pandemic threat. The use of genomic epidemiology will improve candidate viruses for pre-pandemic and pandemic vaccine development to assist decision makers in formulating management strategies needed during outbreaks, epidemics, or pandemics. The ideal candidate will provide genomic analysis support to improve the vaccine virus selection for influenza and SAR-CoV-2. Responsibilities 1. Conduct genomic epidemiologic studies on the evolution of SARS-CoV-2 and influenza viruses to detect and assess the risk of new emerging variants to current vaccines. 2. Analyze next generation sequence (NGS) data from routine and enhanced global surveillance using spatiotemporal, phylodynamic and epidemiologic approaches to determine trends that can be used in making predictive decisions about prevention, treatment and control prevention, treatment and of influenza/SARS-CoV-2 epidemics or pandemics. 3. Use mathematical and computational approaches to understand, and eventually predict the evolutionary and epidemiological patterns of influenza and SARS-CoV-2 viruses. 4. Collaborate with bioinformaticians on a variety of viral evolution studies related to influenza and SARS-CoV-2 viruses. 5. Ensure the appropriate genomic analysis methods, procedures, techniques, and applicable quality controls are correctly conducted by referring to standard protocols. 6. Support outbreak response and other activities as needed. 7. Prepare reports, summaries, presentations, papers and other documents to highlight findings, accomplishments, and surveillance data. 8. Participate in special projects and activities and assume responsibilities as assigned. Required Skills and Experience • Master s degree in bioinformatics, biostatistics, computational sciences or equivalent field and 3+ years of relevant experience (or equivalent) • Demonstrated experience in NGS data analysis including development and application of quality control, assembly, annotation, sequence alignment, variant detection, and phylogenetic analyses • Working knowledge of disciplines of evolutionary biology, immunology, computational biology, virology, computer science, bioinformatics, and epidemiology sufficient to perform assigned responsibilities • Experience working in Linux environments and broad experience with open source computational tools • Experienced in use of high-performance computing (HPC) clusters • Proficient coding/scripting in Python, R, Perl Preferred Skills and Experience • Experience in one or more of the following phylogenetic analysis and visualization tools is highly desirable: BEAST, FastTree, RaxML, TreeTime, NextStrain, Microreact • Proven record of developing analytical approaches, including complex analytical pipelines, for primary and secondary analysis of NGS data • Demonstrated expertise in phylogenetic and phylodynamic analysis of viral species in animal and human populations • Experience with broad data integration including genomic, laboratory, epidemiological and other meta data. • Broad knowledge and expertise in evolutionary biology, immunology, computational biology, virology, computer science, bioinformatics, and epidemiology sufficient to perform assigned responsibilities • Demonstrated experience with SQL and use for data management, integration and reporting • Experience with Tableau, Cloudera (Hadoop) About Our Work We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done. COVID-19 Vaccination GDIT does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements. GDIT is an Equal Opportunity/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, or veteran status, or any other protected class

SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data. Representative Responsibilities... • Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. Develops and executes data characterization/quality assessment routines of basic to moderate complexity including metadata standardization. • Data Analysis Assists analysts and managers in building robust pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software and contributes to the development of new and existing tools to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Helps develop scalable, searchable and secure data structures, utilizing best-practices as much as possible. Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients. Maintains computational infrastructures and controls the flow of data and information for studies. Provides web-based bioinformatics tools and access to public and proprietary relational databases. Documents standard operating procedures based on best practice. Works in collaboration with both technology and scientific teams. • Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Problem-solves and discusses possible solutions with the stakeholders. Considers the implications of possible solutions on the current environment. • Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Participates in various aspects of the software development life cycle, including identification of key stakeholders, design requirements gathering, system analysis and design, code generation, testing and implementation. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. • Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Required EDUCATION/EXPERIENCE • Master's degree in a related field • 2+ years of work experience in a related job discipline OR equivalent combination of education and experience Job Research Primary Location United States-Ohio-Cincinnati-Burnet Building Location R Schedule Full-time Shift Day Job Job Type Standard Department Human Genetics Employee Status Regular FTE 1.0 Weekly Hours 40 Salary Range 33.30

The Bioinformatics Core, part of the Molecular Profiling and Data Science group, is looking for a data analyst/developer to work in close collaboration with lab-based and computational biologists to develop and maintain innovative bioinformatics applications and solutions for diverse research projects. Some examples include next generation sequencing (NGS) data for diverse scientific purposes... generating guide-RNAs for CRISPR genome editing experiments, scientific dashboards and reporting applications for biostatistics, high-throughput phenotyping and gene expression assays, among others. Working in a bioinformatics core draws from skills in biology, data science, scientific application development and provides the opportunity to be exposed to and participate in Research-wide collaborations ranging from gene target discovery to the assessment of late-stage antibodies that drive Regeneron’s therapeutics.    In this role, a typical day might include the following:  •Develop and maintain bioinformatics web applications using programming languages such as R and Python.  •Collaborate closely with experimentalists to understand their scientific and experimental needs and suggest appropriate computational approaches to shape future tech development.  •Work with other bioinformaticians to enhance existing tools, pipelines, methodologies, and to develop standard processes.    This job might be for you if:  •Improving health outcomes is what drives your science.   •You are passionate about understanding and applying efficient computational techniques to accelerate biological research.  •You have a good work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward.  •Can effectively communicate complex concepts to collaborators from a wide range of backgrounds.  To be considered for this role, you must have a MS degree in Computational Biology, Bioinformatics and allied fields, or a life science subject area with a bioinformatics component. Experience with data science, developing bioinformatics applications (e.g., next-generation sequencing analysis, querying bioinformatics databases APIs). Good background (at least 2 years) in at least one of the following scripting languages: Python, R. Familiarity with development environments such as RStudio, Jupyter, etc. Familiarity with code version control systems such as git, subversion, etc. Experience with front-end web application development frameworks (e.g., R-shiny, Python/Flask, Python/Django) and scientific data reporting would be a plus. Experience with database management systems such as MySQL a plus. 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 amazing benefits including health and wellness programs, fitness centers and stock for 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 maternity 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