Bioinformatics Jobs

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and... volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. The scientific data and informatics group in Lilly Genetic Medicines is looking for a create and energetic computational scientist to participate in wide range of activities. The scientist will collaborate with a growing team comprised of chemists, biologist, bioinformaticians, geneticists and data scientists aimed at developing and enhancing in-silico capabilities for new modalities. This position presents an opportunity to support various stages of drug development from target identification to clinical candidate selection. Responsibilities: • Develop new computational/data science methodologies to improve the preparation, retrieval, analysis, and summarization of scientific data • Partner with business/research teams to identify/scope and execute data analytics efforts to answer scientific questions. • Maintain a strong communication and be fully engaged with scientists to ensure scientific delivery. • Support ongoing drug discovery projects through data analysis, tool and model development • Support the development & evaluation of new modalities from a target evaluation perspective. Minimal Qualifications: • Minimum PhD. in bioinformatics, chemoinformatics, computer sciences, or related field with minor in a biology/medical field. Additional skills: • Proficient in one or more scripting languages: Python, C++, PHP • Hands on experience in large scale data analysis in cheminformatics, biophysics, proteomics, genomics • Basic knowledge in genomes and transcriptomes. • A solid understanding of data science methodologies and application of these in solving drug discovery problems • A proven track record of development and independent implementation of widely used scientific applications/scripts/data sources • Global understanding of the drug discovery process and the different data resources available • Knowledge in web development is a plus • Excellent oral and written communication skills and the ability to effectively communicate across different cultures in the global scientific community • Ability to prioritize multiple activities and manage ambiguity. Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law). #WeAreLilly

We're seeking breakthrough makers! Children's Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways - big and small - to make a difference for the patients and families we serve. If you are ready to challenge yourself, be inspired and... grow - no matter what your role - you just may be the kind of breakthrough maker who will thrive at CHOP. 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 Bioinformatics Scientist to join our team of Bioinformatics Scientists supporting ongoing basic and translational research within the Division of Oncology and Center for Childhood Cancer Research (CCCR). The candidate will be Embedded in the CCCR, a highly collaborative environment, and will primarily be focused on supporting scientific teams and projects as a bioinformatics domain expert. The candidate will attend selected lab meetings and interact daily with principal investigators and individual lab members on a project-by-project basis. 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 PhD 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, experience in the analysis of sequencing data related to cancer (eg somatic single nucleotide variants (SNVs) in 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. There will be occasional project and data management tasks required for various types of -omics data projects. Creative data visualization skills are important for this position. Strong communication, time-management, and presentation skills are essential. Knowledge of cancer biology and/or genomics is preferred. Job Responsibilities Pre-Analysis (20%): Use and/or develop standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. Modify existing tools or develop new bioinformatics solutions for analytical needs specific to a collaborative research project. Promote incorporation of new bioinformatics solutions into shared pipeline and code resources. Provide transparency of data processing and analysis results, including sample- and cohort-level status for all collaborations projects. Coding (20%): Within the context of the collaboration or project, develop and apply best practices to code development. Establish requirements with the project team. Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. Advocate for chosen strategy to project team by showing value of approach. Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. Data Analysis (40%): 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. Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. Incorporate more advanced applications and methods into analysis. Develop at least one specialty analytical or biomedical area that serves the collaborative team. Collaboration (10%): Contribute to and influence project-level management by serving as bioinformatics point. Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. Develop new collaborations. Academic Output (10%): Regularly contribute to bioinformatics-focused manuscripts and publications. Regularly contribute to podium presentations and posters. Contribute to bioinformatics sections of grant and award proposals. Additional Responsibilities: ? Basic understanding of statistics ? Working experience with next generation sequencing data ? UNIX/LINUX and high-performance computing experience ? Proficiency with R as well as Python, Perl, or other Scripting languages Required Education and Experience ? Required Education: Bachelor's Degree in biological or computational discipline. Required Experience: At least three (3) years of experience in applied bioinformatics, genomics, and computational work. Experience with management and analysis of complex data types. Experience with genomic/proteomic data analysis methods. Preferred Education, Experience & Cert/Lic ? Preferred Education: Master's or Doctorate Degree in biological or computational discipline Preferred Experience: Four (4) or more years of experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. Experience with Python, Perl, or other languages. Experience with pipeline or workflow development frameworks. Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture. Additional Technical Requirements Strong UNIX/LINUX expertise required. Proficiency in R or similar commonly used bioinformatics language required. Experience with Python, Perl, or other languages 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 preferred. 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 preferred. Ability to interact with biologists and clinicians during a scientific discussion 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. Ability to provide objective validation of results required

Bioinformatics Analyst I Job ID: req2898 Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The... Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software. The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. KEY ROLES/RESPONSIBILITIES Provide collaborative bioinformatics support to the CCR Human Virome Core at Laboratory of Human Carcinogenesis (LHC). It is anticipated that support will be required in Bethesda to work directly with LHC staff on project data analysis and work remotely with Sequencing Facility (SF) bioinformatics group to support NGS data generation, alignments to reference genomes, data quality control and further downstream analysis for Virscan and other NGS applications Develop, manage and maintain data management pipelines for NGS data generated for CCR Human Virome Core at LHC including but not limited to VirScan Work in conjunction with the ABCS Sequencing Facility Bioinformatics team at Frederick National Laboratory to adopt best practices for analyisis of various NGS data Attend branch and lab meetings, consult with members of the Human Virome Core to guide experimental design, carrying out primary/secondary data analysis on generated data Collect and review data; analyze and interpret data and results; provide reports based on analysis of scientific data, and reporting research outcomes to make recommendations for future work Work with staff on data visualization to support the preparation of presentations and manuscripts for submission to scientific journals. Liaison between the Human Virome Core and CCR-IT to resolve network and other IT issues pertaining to the operational integrity of the programs software and hardware BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: Possession of Bachelors degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in biomedical science/bioinformatics/math/computer related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency In addition to education requirements, 0-2 years of related experience in a biological research laboratory environment with a strong background in bioinformatics application development The candidate must possess experience in genomic and sequence analysis such as RNA-seq, Exome-seq, Chip-seq and metagenomics analysis, construction of data processing pipelines, and quality control/quality assurance analysis Hands-on experience in next generation sequencing analysis, including data quality assessment, sequencing data assembling, mapping, mutation and structural variation analysis, gene/transcript profiling and splicing analysis Strong computational/bioinformatics skills and demonstrated ability to work with scientists to deliver on objectives in defined timelines are required Highly collaborative, self-motivated and team oriented Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: PhD in the biomedical domain In addition to education requirements, a minimum of two (2) years of related experience in a biological research laboratory environment with a strong background in bioinformatics application development Experience in NGS sequencing technology and molecular biology Experience in single-cell genomic and transcriptomic sequencing technologies and data analyses Experience in data integration and application development Knowledge of cancer biology Familiarity with publicly available data sources such as ENCODE, Ensembl, NCBI, TCGA, cBioPortal, Broad FireHose Knowledge of working in a cluster environment Experience with Snakemake, make, or other workflow management systems Commitment to solving biological problems and communicating these solutions. Proven success in independent efforts and delivering high quality data with biological relevance to customers. EXPECTED COMPETENCIES Proficiency in Unix/Linux scripting Proficiency in at least two of the following programming languages: Python, R, Perl, Java, C/C++ Strong communications skills, both oral and written Strong time management and organizational skills Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) readytowork

Overview Black Canyon Consulting (BCC) in partnership with Medical Science and Computing (MSC) is searching for a C++ Software Developer in Bioinformatics and Big Data to support the National Center for Biotechnology Information (NCBI). This opportunity is full time and onsite at the NCBI in Bethesda, MD and/or remote work... NCBI, the National Center for Biotechnology Information, the nation’s premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation’s foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI’s annotation pipelines not only serve these diverse expert communities – they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more. On a technical level, NCBI’s wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing. This role calls for more than an expert coder and architect – someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us! We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today! Duties & Responsibilities: • Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems • Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms • Learn new technologies, keep up with internal systems, and share your knowledge with the team Required qualifications: • 3+ years of experience handling large amounts of data or working in a distributed computing environment • Programming experience in a Linux environment • Proficiency in C++ • Experience with MS SQL server and relational database design and optimization • Fluency in some scripting languages such as BASH, csh, Perl, or Python Preferred qualifications: • 5+ years of working with genetic and biological data • Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems • Experience with MongoDB or other NoSQL database technology • Experience with Docker or other containerization mechanisms • Experience with CI/CD pipelines, unit testing, integration and regression testing • Experience using GitHub • Experience with Cloud technologies a strong plus

Posting Details I. DEPARTMENT INFORMATION... Job Description Summary Antibiotic Resistance Action Center at George Washington University Milken Institute School of Public Health is seeking a skilled and collaborative candidate to study microbial genomics in a public health context. The candidate will have the opportunity to: • Analyze large genomic datasets from clinical and epidemiologic studies • Work in a high-performance computing environment • Learn and develop novel approaches for data analysis in public health research. • Develop solutions for large genomic/-omic data analysis. • Apply phylogenetic, comparative genomics, transcriptomics methods to public health associated microbial genomes. • Contribute to the development of a method that models zoonotic host jumps using bioindicators and machine learning methods The successful applicant will be an innovative researcher with a collaborative attitude, and strong self-management skills, as the individual will participate in multiple projects at any given time. They will work under the supervision of a senior bioinformatics engineer. Responsibilities Include • Preparing datasets for analysis, and conducting data analysis using standard and advanced scripting skills under supervision of senior staff. • Creating programming analyses in Python, Perl, C++, Bash script and/or Java • Performing data management (auditing, editing & analysis) and quality control of study databases. • Collaborating in the development of analytical plans for addressing selected research questions. • Documenting any new processes and procedures created in the above tasks. • Collaborating in the design of studies and with medical investigators to implement methods in collaboration with Center faculty. • Participating in project development from beginning to end. Participating as a member of a multi-disciplinary team of programmers and researchers to ensure deliverables are completed efficiently. • Contribute to portions of abstracts, posters, reports and manuscripts for major publications in leading health, medical, bioinformatics and other journals and presentations of results. • Trains users including new employees and students in bioinformatics technique Performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications Qualified candidates will hold a Bachelor’s degree in an appropriate area of specialization plus 2 years of relevant professional experience. Degree must be conferred by the start date of the position. Preferred Qualifications Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: • Experience in Bioinformatics, Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. • Ability to apply statistical and machine learning techniques to solve “big data” problems • Experience in analysis of large multi-omics datasets, data mining, or methods for visualizing big-data. • Experience with high-performance computing environment. • Strong analytical and troubleshooting skills and experience or interest in working in a multidisciplinary team setting. • Experience in phylogenetic, comparative genomic analysis, or bacterial genome assembly and annotation. • Strong publication record, especially first-author manuscript(s). Typical Hiring Range $64,040.23 - $93,631.23 II. POSITION INFORMATION Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: Milken Institute School of Public Health (SPH) Family Research and Labs Sub-Family Bioinformatics Stream Individual Contributor Level Level 1 Full-Time/Part-Time: Full-Time Hours Per Week: 40 Hours Work Schedule: Monday - Friday, 8:30am - 5:00pm Will this job require the employee to work on site? Yes Employee Onsite Status Hybrid Telework: Yes Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions To Applicants Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R001552 Job Open Date: 03/22/2022 Job Close Date If temporary, grant funded or limited term appointment, position funded until: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law

Bioinformatics Software Engineer II/III Job ID: req2614... Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The Bioinformatics and Computational Science (BACS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science. The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS within Leidos Biomedical Research as a technological hub of translational scientists with expertise in structural biology, biology, chemistry, imaging, and informatics. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. KEY ROLES/RESPONSIBILITIES • Work independently and with management to identify and define technical requirements for tasks and timelines • Design, build, test, and deploy scalable and fault-tolerant solutions on-premise (HPC environments) and the Cloud (AWS, Azure, or GCP) • Develop, document, and maintain version controlled quality code in adherence with established design patterns • Mock, develop, and enhance interactive UI designs and elements based on customer requirements • Build docker and singularity containers for various genomic workflows • Provide efficient solutions to reproducible workflow orchestrations on the cloud and local HPC • Automate and perform rigorous unit testing both, in the cloud and on-premise • Author and manage technical documentation that concisely describes design and implementation details • Report project status regularly to management and customers • Manage, publish and maintain code repository (eg. GitHub), container repository (eg. DockerHub) and pipeline repository (eg. Dockstore) • Respond to new feature requests, assist issues raised by userbase and perform program tuning as needed • Plan code and resource-bundle release cycles prioritizing high-demand customer feature requests Candidates selected for interview will be requested to provide a GitHub repository or samples of code snippets for evaluation. The Software Engineer II/III is expected to work effectively as a member of a team; coordinate activities among other groups located at the Bethesda, Frederick, Rockville and Gaithersburg NCI campuses; follow sound scientific practices and maintain effective documentation of activities and analyses. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in Computer Science, Math or Biomedical Science related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency • Software Engineer II - In addition to the education requirement, a minimum of two (2) years of progressively responsible experience • Software Engineer III - In addition to the education requirement, a minimum of five (5) years of progressively responsible experience • Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Knowledge of open-source bioinformatics tools and workflows for analysis of Next-Generation sequencing datasets • Experience working with high performance clusters and cloud technologies • Understanding of the basic architectural principles for developing on the cloud and PaaS Services • Certification as an AWS Solutions Architect, Cloud Security Certification, and/or OpenStack Administrator Certification is a plus • Experience with one or more pipeline management frameworks like Snakemake, WDL etc. along with execution engines like Cromwell • Experience developing web-based application front ends utilizing one or more frameworks (eg. HTML, RShiny, Flask and Dash/Plotly) • Experience with building and orchestrating containers (Docker/Singularity) using technologies like Kubernetes • Experience building reliable and scalable applications using cloud technologies like AWS Step Functions, AWS Batch, etc. • Knowledge of building highly distributed, fault-tolerant and scalable frameworks to process large datasets • Knowledge of agile methodology for software project management EXPECTED COMPETENCIES • Extensive experience with open-source technology, software development and system engineering • Experience in one or more programming languages such as Python, PHP, Javascript, C/C++, R • Solid understanding of application programming in a shared-access, git concurrent-use environment, version control, etc. • Working knowledge of relational and non-relational databases • Ability to work effectively with a team on complex projects with strict requirements, yet take ownership and work independently on large portions of a project with little supervision • Strong communication (written and verbal) and organizational skills Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

Bioinformatics Analyst II Job ID: req2918 Employee Type: exempt full-time Division: Biomedical Informatics & Data Science Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The... Biomedical Informatics and Data Science (BIDS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world-leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science. The Advanced Biomedical and Computational Science (ABCS) group is a part of BIDS within Leidos Biomedical Research as a technological hub of translational scientists with expertise in structural biology, biology, chemistry, imaging, and informatics. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. The Laboratory of Pathology (LP), NCI, has implemented the Comprehensive Oncologic Molecular Pathology and Sequencing Service (NCI-COMPASS). The goal of NCI-COMPASS is to provide state of the art clinical sequencing services to CCR PIs. To this end, the NCI-COMPASS program is developing large NGS panels, as well as additional cancer -omics technologies to establish a CLIA-certified and College of American Pathologists (CAP)-accredited program to support precision cancer diagnostics. KEY ROLES/RESPONSIBILITIES The Bioinformatics Analyst II is responsible for providing collaborative bioinformatics support within the NCI-COMPASS program, Laboratory of Pathology, National Cancer Institute (NCI). S/he is responsible for: Analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms Designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data 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 and Developing analytical workflows for new sequencing technologies Work effectively as a member of a team Coordinate activities among other groups located at the Bethesda, Frederick, Rockville and Gaithersburg NCI campuses Follow sound scientific practices Maintain effective documentation of activities and analyses Majority of time will be spent on the main NIH campus in Bethesda BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: Possession of Bachelors degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency In addition to the education requirement, a minimum of two (2) years of progressively responsible relevant experience Some knowledge of Unix command line or scripting languages Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: A Masters or PhD degree in any quantitative science is preferred Commitment to solving biological problems and communicating these solutions Ability to multi-task across projects Experience in creating NGS workflows on HPC or Cloud environments Management of large genomic data sets including integration with data available from public sources Prior customer-facing role Record of scientific achievements including journal publications and conference presentations Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) readytowork

Position Information Position Information... Department School of Systems Biology (SSB) Alternate Department Description Bioinformatics and Computational Biology Criminal Background Check Standard Background Check Motor Vehicle Background Check Yes Statement of Economic Interest Not Applicable Job Category Instructional Faculty Role (State) Job Title Assistant Professor in Bioinformatics and Computational Biology (Tenure-Track) Working Title Assistant Professor in Bioinformatics and Computational Biology (Tenure-Track) Job Type Full-Time Position Number F5088z Recruit Number FAC8005 Working Hours Location Prince William, VA Other Location Pay Band Salary Commensurate with education and experience. Web Announcement Search Has Been Extended - Previous Applicants are Still Under Review Assistant Professor in Bioinformatics and Computational Biology (Tenure-Track) The George Mason University School of Systems Biology, within the College of Science, invites applications for a full-time, tenure-track Assistant Professor position in Bioinformatics and Computational Biology, beginning August 2020. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment. Responsibilities: The successful candidate will be expected to establish an externally funded independent research program within the field of bioinformatics and computational biology. Although the potential area of research is broadly defined, candidates with interests in cancer, immunology, infectious and neurodegenerative diseases, with the expertise in next generation sequencing or broad expertise in different areas of bioinformatics and computational biology are particularly encouraged to apply. It is expected that successful candidate will synergistically contribute to the existing strengths of the School of Systems Biology by collaborating with faculty members in the School of Systems Biology and other departments. Consistent with College of Science and the School of Systems Biology policies, the teaching load will be four courses per academic year but can be reduced by a generous course buy-out policy. Faculty will be expected to mentor graduate students within the Bioinformatics MS and PhD programs and will have the opportunity to mentor undergraduate students in research. Required Qualifications: • Ph.D. in bioinformatics, computational biology, or related field; • Postdoctoral research experience; • Excellence in research demonstrated by publication record in peer-reviewed journals; • Demonstrated potential to establish an independent research program; • Commitment and interest in teaching graduate and undergraduate-level courses; and • Strong commitment to mentoring and supervising graduate students. Preferred Qualifications: • Record of seeking extramural research support evidenced by proposal submission and/or receipt of funding awards; and • Successful team work in a collaborative environment. About Us: The has 22 faculty members with wide-ranging interests in microbiology, infectious diseases, molecular biology and bioinformatics. The department also houses several large research centers including the , a research center focused on biothreat organisms and emerging infectious diseases, and the , focused on Personalized Medicine with an emphasis on proteomics. The school also has a diverse research-funding portfolio provided by the Department of Defense, National Institutes of Health (NIH), National Science Foundation, other agencies, and private industry. Currently, SSB houses several graduate programs, including Ph.D. in Biosciences, Ph.D. in Bioinformatics and Computational Biology, M.S. in Biology, M.S. in Bioinformatics and Computational Biology, and several graduate certificate programs. The Ph.D. and M.S. programs have concentrations in MID, among others. SSB faculty have close collaborations with researchers from a number of local and regional institutions, including the USAMRIID, NIH, Food and Drug Administration, Naval Research Laboratory, and Inova Health System among others. SSB office and laboratories are located on the Science and Technology Campus of GMU, in Manassas, Prince William County, which primarily focuses on research and academic programs in the biomedical and life sciences. The College of Science blends traditional science education with sought-after programs in molecular medicine, climate dynamics, planetary science, forensic science, environmental studies, and geoinformation science to prepare students for exciting careers at the cutting edge of interdisciplinary scientific domains. While serving as a vital community and regional resource for teaching and learning through hands-on programming for kindergarten through 12th grade (K-12) students, teacher training, and outreach programs, the college also undertakes pioneering research endeavors that offer insight and solutions to the complex issues that challenge today's world. For more information, visit . Special Instructions to Applicants For full consideration, applicants must apply for position number F5088z at http://jobs.gmu.edu by April 17, 2020; complete and submit the online application; and upload a cover letter, CV, a philosophy of teaching statement, a research statement, and a list of three professional references with contact information. For Full Consideration, Apply by: April 17, 2020 Posting Date 03/16/2020 Job Close Date Open Until Filled? Yes Telework Friendly? Yes Mason Ad Statement Great Careers Begin at Mason! George Mason University is an innovative, entrepreneurial institution with national distinction in both academics and research. Mason holds a top U.S. News and World Report "Up and Coming" spot for national universities and is recognized for its global appeal and excellence in higher education. Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason's diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create. If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/! George Mason University, Where Innovation is Tradition. Equity Statement George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law. Campus Safety Information Mason's Annual Security and Fire Safety Report is available at

Position Description:The Jiang lab at the National Library of Medicine (NLM) of the National Institutes of Health (NIH) is inviting qualified applications for postdoctoral research positions in the area of bioinformatics and data science. The overarching goal of the lab is to develop computational tools and approaches that advance our understanding of microbial and viral evolution and aid in the... development of microbial-based diagnostic, therapeutic and preventive practices.The selected candidate will be able to contribute to the ongoing projects in the lab, as well as develop their own independent research projects in microbial bioinformatics. Several projects are currently available including 1) identifying and characterizing microbial gene clusters of interest; 2) knowledge-based functional annotations of biosynthesis pathways; 3) building phage and bacterial interaction networks. For more information, please visit our website: https://www.ncbi.nlm.nih.gov/CBBresearch/jianglab/.Qualifications:We are looking for creative, self-motivated individuals who are interested in applying computational tools to challenging problems in large-scale microbial genomic analysis.Applicants who meet the following requirements will be considered for the positions: A Ph.D. with less than 5 years of postdoctoral experience; Ph.D. in bioinformatics, microbiology, virology, or a related discipline with intensive training/experience in bioinformatics; Strong proficiency in Python, R, and Bash; Strong oral and written communications skills; Proven track record in this area reflected in recent or pending publications; Clear sense of organization, purpose, and accountability. Prior experience in at least three of the following computational areas: Protein structure modeling and prediction Structural bioinformatics Comparative genomics Metagenomics analysis Large-scale genomic data analysis Evolutionary genomics To Apply:Applicants should send a cover letter, curriculum vitae, a statement of research interests, and contact information for three references (names and e-mail addresses) to Dr. Xiaofang Jiang at xiaofang.jiang@nih.gov using the following email subject: PostDoc applicant – FirstName, LastName.The NIH is dedicated to building a diverse community in its training and employment programs