Bioinformatics Jobs

Description Are you looking for a career that will make an impact ... The Leidos Health & Civil Sector is currently looking for a Bioinformatics Engineer to support biological research at the Biological Defense Research Directorate (BDRD) at the Naval Medical Research Center (NMRC) in Frederick, MD. The BDRD within NMRC facilitates biological research for the rapid detection of infectious diseases of global importance and the enhancement of global disease surveillance for early pathogen detection and response. Are you ready for unique and exciting work? The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes in a military medical research setting. While the primary task for the Bioinformatics Engineer is to assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing. Primary Responsibilities The ideal candidate shall: • Manipulate and process raw sequencing data from in-house Next Generation Sequencing (NGS) platforms (MiSeq, NextSeq500, Ion S5, PacBio, MinION), microarrays, publicly accessible databases, and/or external collaborators. • Perform quality control, assembly, annotation, etc. • Integrate high-throughput data from multiple sequencing platforms. • Use a variety of bioinformatic tools and potentially develop new software applications to solve salient problems in the field of genomics. • Download, install, and benchmark open-source software packages from a variety of sources (GitHub, SourceForge, etc.). • Assist staff scientists in summarizing research data, preparing posters, and/or presenting results via conference presentations, scientific publications, or project reports. • Attend internal meetings and teleconferences as well as external meetings with collaborators and stakeholders when deemed appropriate. • Contribute to technical reports, presentations and manuscripts for publication. • Assist with appropriate training of other personnel. • Work is to be performed on a government installation. The normal work week is Monday - Friday 0800 to 1630. • Candidates may need to work evenings and weekends on very rare occasions. If this sounds like an environment where you can thrive, keep reading for the keys to success! Required Education, Knowledge, Skills and Abilities: • Candidates must have completed a Master’s degree in Bioinformatics from an accredited US university, or international university of equivalent standard • Candidates must have at least 2-4 years of hands-on experience in Bioinformatics. • Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio. • Maintain a familiarity with next generation sequencing and microarrays. • Have excellent verbal and writing communications skills. • Be able to think independently and must have excellent problem-solving skills. • The candidate will be required to acquire, at a minimum, a SECRET classification access level. Preference will be given to a candidate who already has this clearance level. • Due to Federal contract requirements, US citizenship is required. • Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. • Be able to perform under deadlines and in austere environments. Preferred Qualifications • Experience in a military medical research laboratory is a plus. • Ability to work well independently with little to no supervision. Naval Health East - NHE Original Posting Date: 2024-05-29 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $65,000.00 - $117,500.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law

Research Computing at Boston Children’s supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge... research ranging from genomics to epigenetics and transcriptomics, proteomics and metabolomics. The Senior Bioinformatics Data Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, single-cell ATAC-seq, spatial transcriptomics, bulk RNA-seq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Responsibilities include: • Providing computational support services to Boston Children's Hospital scientists and clinicians by applying a wide range of bioinformatics tools, methods and technologies. • With minimal supervision and direction, completing highly complex assignments in the required timeframe; consistently adhering to and Promoting standard operating procedures and best practices; maintaining and upgrading a wide range of Research Computing tools, methods, and technologies, migrating data, documenting changes, and adjusting internal processes; resolving highly complex problems associated with assignments and seeking supervisor assistance when needed. • Routinely leading, co-leading, or participating in complex bioinformatics projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; • Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems. To qualify you must have: • Minimum of 4-year Bachelor's degree in STEM. A minimum of one year of position-specific experience, which might potentially include experience acquired through MSc or Ph.D. studies. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related. • Extensive knowledge of the use of bioinformatics computations in high-performance computing environments, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation, etc. • Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. • Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures. • Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community... Description The Division of Microbiology & Immunology and Emory Vaccine Center within the Emory National Primate Research Center at Emory University is currently seeking a full time Bioinformatics Analyst to join the Emory NPRC Genomics laboratory. The successful candidate will work as part of a team that provides bioinformatics services to Emory and extramural researchers. Projects aim at investigating mechanisms of disease in the immune system, cancer, and infectious disease. The position will allow for the successful applicant to obtain any necessary additional bioinformatic or computational training to complete the project, including training for single-cell RNA-seq, epigenetics and WGS. Dedicated to discovering causes, prevention, treatments, and cures, the Emory National Primate Research Center (NPRC) is fighting diseases and improving human health and lives worldwide. One of seven NPRCs funded by the NIH, EPC conducts studies that make breakthrough discoveries possible. Learn more at https://www.enprc.emory.edu/. JOB DESCRIPTION: • Maintains software, hardware and the network in a bioinformatics setting or molecular modeling laboratory. • Supervises regular updates and recommends state-of-the-art enhancements. • Analyzes high throughput screening data and performs structure activity analyses to generate predictive correlations. • Applies a limited range of molecular modeling tools to refinement of high throughput screening hits. • Presents the models in a form that allows users to make decisions concerning the direction of an experimental program. • Performs related responsibilities as required. MINIMUM QUALIFICATIONS: • A master's degree in biology, biostatistics, chemistry, biochemistry, bioinformatics or related science or IT-based discipline; some student-related experience gained through formal Master's-level academic training. PREFERRED/DESIRED QUALIFICATIONS • Applicant with a background in bioinformatics and strong computer science with an advanced degree in computational biology, bioinformatics or a related computer science discipline preferred. • Demonstrable experience writing code to solve biological problems. • R/Bioconductor proficiency highly preferred • Experience working with RNA-Seq is a significant strength. • Programming experience in C/C++, Python, Java or PERL is a significant plus. • Excellent communication and scientific writing skills. • Motivation to turn data into manuscripts. PRE-EMPLOYMENT SCREENING STATEMENT: Emory NPRC in conjunction with Emory University conducts pre-employment screening for all positions which may include an INA and criminal background check, verification of work history, academic credentials, licenses, and certifications, drug screening, health assessment, requirement of various vaccinations (including COVID-19 plus one booster if job requires hands-on contact with animals/NHP). Employment is contingent upon a clear background screening. NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee. Emory Supports a Diverse and Inclusive Culture Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred

SHIFT: Day (United States of America ... Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The bioinformatics group in the Department of Biomedical and Health Informatics (DBHI) at Children’s Hospital of Philadelphia (CHOP) is seeking a Bioinformatics Scientist to join our team to support ongoing basic and translational research within the Center for Childhood Cancer Research (CCCR) and the Department of Anesthesiology and Critical Care Medicine. The candidate will be embedded in the laboratories of Dr. Caroline Diorio and Dr. Robert B. Lindell and will support scientific projects focused on immune dysregulation disorders related to infection, or due to cancers or cancer therapies. Major areas of focus will be CAR-T and cytokine release syndrome/immune effector cell associated neurotoxicity syndrome, and the immunologic phenotypes of sepsis. The candidate will attend lab meetings and interact daily with principal investigators and individual lab members. Additionally, the candidate will work with a principal investigator overseeing the bioinformatics group in the CCCR and our extended bioinformatics group in DBHI to stay current on emerging technologies and algorithms. The successful candidate will preferably have a MS degree in Bioinformatics, Computational Biology, or a related field, and must have demonstrable skills in coding in R and/or Python, though both are preferred. The successful candidate will have had biology training, experience with high-performance and/or cloud-based computing environments and will be expected to analyze data generated from proximity extension assays (i.e. Olink), bulk RNA sequencing, and multiparameter flow cytometry. Additionally, the successful candidate is expected to have experience with single cell RNA sequencing somatic single nucleotide variants (SNVs), indels, structural variations (SVs), fusion transcripts, or copy number analyses as well as experience in other types of bioinformatics analyses, particularly those involving next-generation sequencing. The successful candidate will have experience with established algorithms/pipelines processing genomics data, and the ability to learn and apply new methods. They will also be able to conceive and develop innovative solutions for a variety of computational challenges of these data and develop creative data visualizations. Strong communication, time-management, and presentation skills are essential. Knowledge of cancer biology and/or genomics is preferred. The Bioinformatics Scientist I position is an entry level position for a non-PhD level professional. The focus of the position is development, maintenance, and evolution of the tools that support management and analysis of genomic, proteomic, and other complex molecular data types. This includes the support of internal bioinformatics software, implementation and modifications of existing algorithms, and execution of routine tasks of limited complexity within the general area of bioinformatics analysis. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. All activities occur with a moderate to high degree of supervision and the individual will rely on a high degree of peer-to-peer mentorship. The Bioinformatics Scientist I is primarily focused on the support of higher level bioinformatics personnel but may have minor direct interaction with collaborators and designees to resolve primarily technical issues and solutions. What you will do • Pre-Analysis (40%): Contributes to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provides efficient data management support. • Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows. • Maintains pipelines by staying current with evolving algorithms and standards and incorporating into pipeline. • Executes robust development testing for commonly used applications such as data processing pipelines. • Optimizes performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters. • Defines and prioritizes requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users. • Identifies appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users. • Implements and maintains commercial and open-source software for common bioinformatics and genomics data analysis. • Implements, updates and maintains locally stored data resources required for various analysis tasks. • Provides ad hoc support and one-on-one and group-based training on key bioinformatics software, features, and workflows. • Provides efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources. • Develops and maintains working relationship with data providers such as sequencing cores within CHOP and infrastructure groups such as information systems. • Continually keeps abreast of evolving data generation platform fundamentals, file-specific information representation, and strategic application of code base to optimize value of data. • Maintains working knowledge of available commercial and openly accessible knowledge bases as they apply to bioinformatics analysis. • Coding (30%): Codes and generally supports both ad hoc, single task applications and larger pipeline applications that may combine multiple 3rd party and internally developed applications for genomics/proteomics/other complex data types and projects. • Implements, maintains, and regularly contributes to formal and bioinformatics group-centralized code management system. • Adopts appropriate forking and other strategies for robust code development. Apply to general bioinformatics group code base. • Adopts best practices for code development consistent with larger bioinformatics group. This includes choice of language based on the type of solution being developed, the likely life cycle and downstream usage of the resulting application, and integration with other systems. • Ensures that all routinely used tools (e.g. those included in shared analysis pipelines) are versioned and managed through a source control system. • Ensures that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system. • Develops and implements automated data-driven testing processes that test reproducibility of results between versions of pipeline software. • Develops and implements automated deployment processes that build and configure systems from source control repositories, eliminating the need to manually modify configuration files. • Regularly documents code, troubleshoot, and provide training when necessary. • Data Analysis (10%): Analyzes data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data under supervision from mentors and peers. • Develops robust analysis plans under supervision. • Incorporates QA/QC in analysis workflows. • Delivers analytical endpoints such as feature identification, annotation, characterization, prioritization, etc. • Reports results using, primarily, spreadsheets and, secondarily, abstracted materials such as slides and visuals. • Collaboration (10%): Works with both bioinformatics group members and end users/clients to understand specific needs in bioinformatics and end user-specific domains. • Attends group and team meetings and contributes primarily factual information regarding processes and approach. • Defers to mentors and peers in establishing relationships, but works within boundaries to accomplish analytical goals. • Academic Output (10%): Contributes to presentations, grants, and manuscripts under supervision by mentors and peers. Education Qualifications • Bachelor's Degree Required • Master's Degree biological or computational discipline Preferred Experience Qualifications • At least one (1) year in applied bioinformatics, computational, and genomics/proteomics experience. Preferred Experience • Four (4) or more years of experience in applied bioinformatics, genomics, and computational work. • Knowledge of cancer biology and/or genomics. Skills and Abilities • Strong UNIX/LINUX expertise required. • Experience with R strongly preferred. • Experience with Python, Perl, or other languages preferred. • Experience with pipeline or workflow development frameworks preferred. • Experience with data management preferred. • Familiarity with open source and commercial bioinformatics resources and software preferred. • Experience with genomic data analysis preferred. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred. • 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 preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is preferred. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

Application instructions are located at the bottom of the page. Please apply directly through the University of Montana's career portal UM Jobs at https://umjobs.silkroad.com/ for... positions at the University of Montana – Missoula, University of Montana Western (Dillon), and Helena College . Do not apply through Indeed.com or use easy apply through Indeed.com • . The University of Montana (UM) invites applications for a Bioinformatics Data Scientist to support data science research and education activities of the UM Genomics Core (UMGC) and the Montana INBRE Data Science Core (DSC). The primary responsibilities of the candidate will be to engage in collaborative research supporting the biological and biomedical research communities of the University of Montana and the Montana INBRE (MT-INBRE) network, which is a collaborative network of institutions invested in biomedical research in Montana. This is a full-time position that includes service, training, and independent research components. The successful candidate will collaborate with UMGC and MT-INBRE researchers on emerging bioinformatics and data science problems and work with UM Information Technology (IT) to facilitate use of local high-performance computing resources and cloud-computing environments. These activities will constitute the service component of the position. Training responsibilities will primarily consist of organizing and conducting formal training activities (short courses, workshops, targeted sessions) to promote training in bioinformatics and data science. Pursuit of independent research in bioinformatics and data science will be strongly encouraged provided the service and training goals of the position are met. The University of Montana is an Affirmative Action/Equal Opportunity employer and has a strong institutional commitment to the principle of diversity in all areas. In that spirit, we are particularly interested in receiving applications from a broad spectrum of qualified people who would assist the University in demonstrating its five priorities for action : Place student success at the center of all we do; drive excellence and innovation in teaching, learning, and research; embody the principle of “mission first, people always"; partner with place; and proudly tell the UM story. Position Details • Position is full-time, 1.0 FTE, Letter of Appointment and includes a comprehensive and competitive benefits package including Insurance package, mandatory retirement plan, partial tuition waiver, and wellness program. • Salary for this position is $85,000 per year commensurate with qualifications. Required Qualifications • A PhD degree in bioinformatics, computational biology, computer science, or a related field. • Experience conducting independent research supported by a record of peer-reviewed publications. • Established expertise in computational biology, bioinformatics, or related field. • Established expertise working in a high-performance computing (HPC) environment. • Proficiency in one or more programming languages (Python, C++, Java, R, etc.). • Strong communication skills. • Prior experience in teaching bioinformatics, computational biology, or related topics. • Working experience with analysis of data generated from numerous genomics techniques (e.g., genome assembly, transcriptomics, proteomics, epigenomics, phylo- and population genomics). Preferred Qualifications • Advanced skills in one or more programming language (Python, C++, Java, R, etc.). • Experience with HPC cluster administration. • Experience with Cloud computing. • Experience with data science curriculum development. About UM The University of Montana is home to a diverse and highly interactive collection of scientists with expertise in biomedical sciences, genomics, evolution, ecology, and wildlife biology and a strong emphasis on the study of natural systems. Under the leadership of Director Jeffrey Good (www.thegoodlab.org), the UMGC and the DSC collaborate to support biological and biomedical research through the generation and analysis of diverse high-throughput sequencing applications, including whole genome sequencing, high-throughput targeted genotyping, viral surveillance, bulk and single-cell RNA sequencing, and related applications. Both facilities are part of recently constructed shared molecular and computational lab space (5,000 ft2) that includes five highly collaborative research groups dedicated to evolutionary genomics research. Candidates whose research interests and background complement and expand these existing strengths are especially encouraged to apply. UM is in Missoula, a charming city in the northern Rocky Mountains that offers an outstanding quality of life. The successful candidate will collaborate with the state-wide MT-INBRE research network composed of two R1 research intensive PhD-granting institutions, seven primarily undergraduate institutions, and seven tribal colleges supported by the National Institutes of Health ( https://inbre.montana.edu ). The mission of MT-INBRE to enhance biomedical research capacity, expand and strengthen the research capabilities of biomedical faculty and provide access to biomedical resources for promising undergraduate and graduate students throughout eligible states. Come join our team of collaborative and supportive scientists in beautiful Missoula Montana! Criminal Background Investigation is required prior to Offer of Employment. In accordance with University policy, finalists for this position will be subject to criminal background investigations. ADA/EOE/AA/Veteran's Preference. Reasonable accommodations are provided in the hiring process for persons with disabilities. For example, this material is available in alternative format upon request. As an Equal Opportunity/Affirmative Action employer, we encourage applications from minorities, veterans, and women. Qualified candidates may request veterans’ or disabilities preference in accordance with state law. References *References not listed on the application materials may be contacted; notice may be provided to the applicant. Testing Individual hiring departments at UM may elect to administer pre-employment tests, which are relevant to essential job functions. E mployment Eligibility. All New Employees must be eligible and show employment eligibility verification by the first date of employment at UM, as legally required (e.g., Form I-9). Must be eligible to work in the United State upon hire. How to Apply Priority Application Date: Sunday, June 16, 2024 by 11:59 PM (Mountain Time) Complete applications received by June 17th will be guaranteed full consideration. This position is available immediately and the search will remain open until filled. To receive full consideration, candidates are required to submit all of the following materials. Please submit the following application materials** via the UM Jobs portal and by clicking "New Resume/CV" button. Please do not apply through Indeed.com*. Applicants are strongly encouraged to contact Dr. Good ( jeffrey.good@umontana.edu ) with any questions. • Letter of Interest – addressing the stated required skills for the position. • Detailed resume listing education and describing work experience. • Combined statement of research/training experience and interests (2 pages or less). • Three (3) professional references - Names and contact information. • Applying through Indeed.com or easy apply through Indeed.com may result in submission of an incomplete application. Applications may be removed from full consideration if they are not complete with materials listed above under the "How to Apply" section. It is the responsibility of the applicant to ensure complete application materials are submitted and received by the date listed above. • * Please note: only five (5) attachments are allowed per application. Please combine documents accordingly. Job Location Missoula, Montana, United States Position Type Full-Time/Regular

GDIT is seeking a Bioinformatics Analyst in support of the Operational Infectious Diseases (OID) Directorate within the Naval Health Research Center (NHRC). OID performs infectious disease surveillance including rapid detection of enteric, respiratory, and vector-borne infectious diseases of military importance, develops global disease surveillance programs in collaboration with military partners... for early pathogen detection and response, as well as conducts clinical research including clinical trials, diagnostic evaluations, and clinical laboratory testing. The Bioinformatics Analyst contributes, both independently and collaboratively, to the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes, metagenomes, and transcriptomes in a military medical research setting. The Bioinformatics Analyst also analyzes samples for pathogen discovery. The Bioinformatics Analyst collaborates with a team of bioinformatics analysts, infectious disease experts, and epidemiologists to manipulate and query high-throughput genetic data to answer complex biological questions in a fast-paced environment. This involves installation and testing of open source bioinformatic software as well as creating new pipelines, workflows, and standards for customized solutions. RESPONSIBILITIES: • The Bioinformatics Analyst is responsible for providing collaborative bioinformatics support to the investigators at the Naval Health Research Center (NHRC). • Support to NHRC’s COVID-19 surveillance efforts via the analysis of complex data sets. • Analysis and interpretation of high-throughput biomedical data generated by diverse platforms with emphasis on next-generation sequencing • Contribute to a team effort in designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data • Responsible for the organization and management of large genomic datasets, and the integration of data from multiple sources • Mining publicly available biological data to generate novel hypotheses or insights • Presenting analysis results, in a clear and concise manner, to an audience not familiar with bioinformatics REQUIRED QUALIFICATIONS: • Education: Master’s or Ph.D. degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area. • 2 years related experience • Experience with bioinformatics tools and databases • Experience managing large genomic data sets including integration with data available from public sources • Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++ • Record of scientific achievements including journal publications or presentations • Must have Data Management/Bioinformatics experience supporting NHRC • Must be a US citizen with the ability to obtain a secret clearance security investigation prior to start date. Expected Competencies: • Experience in analysis of next generation sequencing (NGS) data (including quality metrics, mapping, variant calling, quantitation of gene expression and biological interpretation) • Experience in analysis of large genomic data sets including integration with data available from multiple sources • Hands-on experience in data processing and analyzing sequencing and expression and other array data including quality and biological assessment are also essential • Ability to understand and analyze data from complex experimental designs • Experience in at least two of the following areas: metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray analysis • Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose WHAT GDIT CAN OFFER YOU: • Challenging work that makes a real impact on the world around you • Internal mobility team dedicated to helping you own your career • 401K with company match • Diverse, highly collaborative teams • Professional development, education assistance, certification and training opportunities #GDITHealth #MILITARYHEALTHGDITJOBS #GDITFedHealthJobs ​

The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Working independently, provides bioinformatics analysis for investigators and communicates analytical process and results. The Neurobiology and Brain Tumor Program (NBTP) of the... Comprehensive Cancer Center at St. Jude Children’s Research Hospital is seeking a Principal/Lead Bioinformatics Research Scientist. The NBTP is a collaborative, transdisciplinary research program that aims to improve survival and morbidity for children with brain tumors by developing effective, relatively non-toxic therapies through a better understanding of disease pathogenesis. Through application of cutting-edge molecular approaches to unprecedented patient cohorts and innovative model systems, members of this program are efficiently translating laboratory findings into opportunities for new treatments. Genome-wide studies of diverse pediatric brain tumor entities have identified novel mutations, defined molecular subgroups, and opened new avenues of basic, translational, and clinical investigation. The Principal/Lead Bioinformatics Research Scientist functions independently to coordinate large-scale bioinformatics projects, providing project oversight, scientific and technical advice, programming support, and other input as required to achieve established objectives. Coordinates the specialized expertise of bioinformatics colleagues to achieve scientific objectives. Establishes best practice recommendations, creates educational materials, and participates in educational initiatives at the laboratory, departmental, and/or institutional level. The successful candidate will assemble and manage a team of Ph.D.- and MS-level bioinformaticians and data scientists to analyze and interpret new and existing multi-omic datasets obtained from children and models with malignant brain cancer, including bulk tumor/normal, single-cell/nucleus, and spatial ‘omic profiles. The director will present research findings at project meetings, scientific conferences, and outreach/training events. There will be opportunities to initiate new projects and collaborate with other groups at St. Jude and externally, including clinicians, basic scientists, and data scientists. A deep understanding of cancer genomics, human genetics, transcriptomics, or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in second and/or third generation sequencing analysis are essential for this position. The successful recruit must have the capacity to execute proficient computational analyses and troubleshooting independently, communicate effectively with NBTP faculty and collaborators, and thrive in a highly collaborative team environment. The ideal candidate should have: • A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. • A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. • Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole genome sequencing. • Extensive experience performing statistical analyses of large genomic datasets and validation of genomic pipelines. • Expert-level proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. • Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git). • Proficiency in tool development, including examples documented in public repositories. • Experience with database management systems such as MySQL. • Extensive expertise in data integration and harmonization. • Proven problem-solving skills and collaborative nature in fast-paced environment. • Excellent communication and presentation skills. • Experience in project management and leadership, including training of basic bioinformatics and statistical skillsets. Minimum Education: • Bachelor's degree in bioinformatics, statistics/computer science (with a background in biological sciences) or related field. • Master's degree or PhD preferred. Principal Bioinformatic Research Scientist: Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ years of relevant post-degree work in bioinformatics, statistics/computer science (with a background in biological sciences). • Experience Exception: Master's degree with 11+ years of relevant post-degree experience (OR) PhD with 8+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Lead Bioinformatic Research Scientist: Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, statistics/computer science (with a background in biological sciences). • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $125,840 - $238,160 per year for the role of Lead/Principal Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. 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

Posting Details Position Information... Fiscal Year 2023-2024 Position Title Bioinformatics Analyst, UB Genomics & Bioinformatics Core Classification Title Programmer/Analyst (Project) Department UB Genomics and Bioinformatics Posting Number R240102 Posting Link https://www.ubjobs.buffalo.edu/postings/50297 Employer Research Foundation Position Type RF Professional Type Full-Time Appointment Term Salary Grade E.79 Posting Detail Information Position Summary The University at Buffalo, Department of UB Genomics and Bioinformatics is seeking candidates for the position of Bioinformatics Analyst. The Bioinformatics Analyst is responsible for supporting the ever-growing computational analysis needs of the Genomics and Bioinformatics Core. The Bioinformatics Analyst works directly with core laboratory staff in an effort to provide optimal next-generation sequencing results. Specific responsibilities include: • Day-to-day processing of the immense data being generated from illumina based next-generation sequencing platforms; • Quality assurance, initial data processing, and storage of data generated; • Maintenance of core computational infrastructure; • Specialized downstream analysis for supporting projects and core initiatives; • Willingness to quickly adopt new technologies and analysis best practices; • Analysis of all types of genomic, epigenomic, and transcriptomic data generated by the core • Development and modification of computational algorithms to facilitate data analysis at UB; participating in manuscripts and grant applications, • Figure generation; • Custom data mining efforts Outstanding Benefits Package Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit – all in an effort to support your work-life effectiveness. Visit our benefits website to learn about our benefit packages . About The University at Buffalo The University at Buffalo (UB) #ubuffalo is one of America’s leading public research universities and a flagship of the State University of New York system, recognized for our excellence and our impact. UB is a premier, research-intensive public university dedicated to academic excellence. Our research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an Equal Opportunity / Affirmative Action employer, the University at Buffalo will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications The ideal candidate will be collaborative, self-directed and possess the following: • A bachelors degree in Bioinformatics or closely related field with 1-2 years experience and familiarity with common NGS data file formats (FastQ, BAM ). Education and experience equivalencies will be considered. • Knowledge of Illumina based sequencing platforms (NovaSeq, NextSeq500, MiSeq). • Proficiency in linux is essential as all workflows are in a linux cluster environment. • Proficiency in the R coding language with experience using RStudio and Bioconductor. • Hands on experience processing Next-Generation Sequencing data sets from raw data to alignment (Bowtie2/Hisat2 preferred), and quantification (Subread featureCounts). • Previous experience using the DESeq2 analysis package from RNA -Seq. • Background knowledge of wet bench techniques to aid in laboratory trouble shooting. • Outstanding communication and leadership skills, in interacting with both wet-lab and computational biologists. Preferred Qualifications • A Masters degree in Bioinformatics or closely related field. • Experience in transcriptional analysis is strongly preferred. • Python coding skills strongly preferred (virtualenv, managing local packages). • Previous hands-on experience with wet bench assays a plus, but not required. Physical Demands Salary Range $55,000 - $65,000 Additional Salary Information The salary range reflects our good faith and reasonable estimate of the possible compensation at the time of posting, the role and associated responsibilities, and the experience, education, and training of the selected candidate. Work Hours Monday – Friday 37.5 hour work week, exact hours to be discussed Campus Downtown Campus Posting Alerts Special Instructions Summary Is a background check required for this posting? No Background Check Notification Contact Information Contact's Name Jonathan Bard Contact's Pronouns Contact's Title Associate Director of Bioinformatics Contact's Email jbard@buffalo.edu Contact's Phone 716-881-8966 Posting Dates Posted 05/23/2024 Deadline for applicants 06/06/2024 Date to be filled References Number of references required 3 Reference Cutoff Date Instructions to Applicant For more information, click the "How to Apply" button

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet... The SCCC Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

Overview: We are seeking an Analyst to join our team. The ideal candidate will have expertise in areas such as cloud computing, biostatistics, statistical analysis, SQL, bioinformatics, R, and SAS... Duties: - multi-omics data analysis, and support for biological insights, objective data-driven approaches, and collaborative models in this specialized area bioinformatics support, particularly in the realm of multi-omics data analysis -integrating genomic, transcriptomic, proteomic, and metabolomic data, and provide a comprehensive view of biological systems -work with next generation sequencing, flow cytometry and serological data -biweekly video conferencing -Report generation This position offers a dynamic work environment where you can apply your analytical skills to drive impactful decisions. If you are passionate about data analysis and eager to contribute to a collaborative team, we encourage you to apply. Job Types: Full-time, Contract Pay: $34.39 - $57.00 per hour Schedule: • Monday to Friday Experience: • Linux: 1 year (Preferred) • Bioinformatics: 1 year (Preferred) • SAS: 1 year (Preferred) Work Location: Remote