Bioinformatics Jobs

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

Travel Required: Less than 10% Public Trust: NACI (T1) Requisition Type: Regular... GDIT is seeking a Bioinformatics Scientist providing genomic analysis support to improve the vaccine virus selection for influenza and SAR-CoV-2. Background: Genomic surveillance of influenza and SARS-CoV-2 integrated with classic epidemiology facilitates the detection of new epidemic variants and provides complete and accurate information about viruses posing a pandemic threat. The use of genomic epidemiology will improve candidate viruses for pre-pandemic and pandemic vaccine development to assist decision makers in formulating management strategies needed during outbreaks, epidemics, or pandemics. The ideal candidate will provide genomic analysis support to improve the vaccine virus selection for influenza and SAR-CoV-2. Responsibilities 1. Conduct genomic epidemiologic studies on the evolution of SARS-CoV-2 and influenza viruses to detect and assess the risk of new emerging variants to current vaccines. 2. Analyze next generation sequence (NGS) data from routine and enhanced global surveillance using spatiotemporal, phylodynamic and epidemiologic approaches to determine trends that can be used in making predictive decisions about prevention, treatment and control prevention, treatment and of influenza/SARS-CoV-2 epidemics or pandemics. 3. Use mathematical and computational approaches to understand, and eventually predict the evolutionary and epidemiological patterns of influenza and SARS-CoV-2 viruses. 4. Collaborate with bioinformaticians on a variety of viral evolution studies related to influenza and SARS-CoV-2 viruses. 5. Ensure the appropriate genomic analysis methods, procedures, techniques, and applicable quality controls are correctly conducted by referring to standard protocols. 6. Support outbreak response and other activities as needed. 7. Prepare reports, summaries, presentations, papers and other documents to highlight findings, accomplishments, and surveillance data. 8. Participate in special projects and activities and assume responsibilities as assigned. Required Skills and Experience • Master s degree in bioinformatics, biostatistics, computational sciences or equivalent field and 3+ years of relevant experience (or equivalent) • Demonstrated experience in NGS data analysis including development and application of quality control, assembly, annotation, sequence alignment, variant detection, and phylogenetic analyses • Working knowledge of disciplines of evolutionary biology, immunology, computational biology, virology, computer science, bioinformatics, and epidemiology sufficient to perform assigned responsibilities • Experience working in Linux environments and broad experience with open source computational tools • Experienced in use of high-performance computing (HPC) clusters • Proficient coding/scripting in Python, R, Perl Preferred Skills and Experience • Experience in one or more of the following phylogenetic analysis and visualization tools is highly desirable: BEAST, FastTree, RaxML, TreeTime, NextStrain, Microreact • Proven record of developing analytical approaches, including complex analytical pipelines, for primary and secondary analysis of NGS data • Demonstrated expertise in phylogenetic and phylodynamic analysis of viral species in animal and human populations • Experience with broad data integration including genomic, laboratory, epidemiological and other meta data. • Broad knowledge and expertise in evolutionary biology, immunology, computational biology, virology, computer science, bioinformatics, and epidemiology sufficient to perform assigned responsibilities • Demonstrated experience with SQL and use for data management, integration and reporting • Experience with Tableau, Cloudera (Hadoop) About Our Work We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done. COVID-19 Vaccination GDIT does not have a vaccination mandate applicable to all employees. To protect the health and safety of its employees and to comply with customer requirements, however, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements. GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class

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

The Bioinformatics Core, part of the Molecular Profiling and Data Science group, is looking for a data analyst/developer to work in close collaboration with lab-based and computational biologists to develop and maintain innovative bioinformatics applications and solutions for diverse research projects. Some examples include next generation sequencing (NGS) data for diverse scientific purposes... generating guide-RNAs for CRISPR genome editing experiments, scientific dashboards and reporting applications for biostatistics, high-throughput phenotyping and gene expression assays, among others. Working in a bioinformatics core draws from skills in biology, data science, scientific application development and provides the opportunity to be exposed to and participate in Research-wide collaborations ranging from gene target discovery to the assessment of late-stage antibodies that drive Regeneron’s therapeutics.    In this role, a typical day might include the following:  •Develop and maintain bioinformatics web applications using programming languages such as R and Python.  •Collaborate closely with experimentalists to understand their scientific and experimental needs and suggest appropriate computational approaches to shape future tech development.  •Work with other bioinformaticians to enhance existing tools, pipelines, methodologies, and to develop standard processes.    This job might be for you if:  •Improving health outcomes is what drives your science.   •You are passionate about understanding and applying efficient computational techniques to accelerate biological research.  •You have a good work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward.  •Can effectively communicate complex concepts to collaborators from a wide range of backgrounds.  To be considered for this role, you must have a MS degree in Computational Biology, Bioinformatics and allied fields, or a life science subject area with a bioinformatics component. Experience with data science, developing bioinformatics applications (e.g., next-generation sequencing analysis, querying bioinformatics databases APIs). Good background (at least 2 years) in at least one of the following scripting languages: Python, R. Familiarity with development environments such as RStudio, Jupyter, etc. Familiarity with code version control systems such as git, subversion, etc. Experience with front-end web application development frameworks (e.g., R-shiny, Python/Flask, Python/Django) and scientific data reporting would be a plus. Experience with database management systems such as MySQL a plus. Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides amazing benefits including health and wellness programs, fitness centers and stock for employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need

About Formic Labs To accelerate life science, we are building an "OS" that will help investigators design, execute, interpret, manage, and scale experiments, from wet lab assays to bioinformatics analyses, multiscale simulations, and interactive data visualizations. Our platform will supercharge biomedical scientists by providing investigators with approachable, integrated, scalable, and... collaborative access to the sea of data, methods, and tools. By enabling scientists to focus on science, our platform will transform industry, academic, and government R&D. Furthermore, we will use our platform to address one of the grand challenges of biology, developing holistic mechanistic simulations of entire cells and tissues that explain phenotype from genotype. • Simplify R&D by relieving investigators of the technical and time-consuming minutiae of designing, executing and managing protocols, such as installing and maintaining tools, learning APIs to tools, converting formats, and setting up workflow engines and data warehouses in HPC and cloud systems. • Integrate R&D such as by helping investigators find diverse methods and tools across historical silos and link them together. • Facilitate deeper and more holistic investigation such as by easing complex multi-step protocols that integrate diverse tools, large screens over millions of conditions, and analyses of large data sets. • Increase the reliability of R&D by transparently, faithfully, and reproducibly executing protocols and automatically organizing and capturing the provenance of their results. • Promote collaboration by making tools, protocols, and their results easy to share. • Boost methods and tool development by providing tool developers a marketplace to reach users. • Reduce the cost of R&D by reducing the need for custom engineering. Led by Michael Antonov, a co-founder of Oculus, and well-funded by Formic Ventures, Formic Labs is poised to accelerate basic science, medicine, and bioengineering. Job summary The product manager will champion the roadmap for the bioinformatics portion of our platform, gathering the needs of bioinformatics investigators and working with our science and engineering teams to translate their needs into a transformative a SaaS platform that enhances their productivity: • Research and understand our users' needs across industry, academia, and government • Communicate to prospective users how our platform could solve their problems • Design the requirements of our platform, our launch strategy, and each aspect of our users' experience • "Roadmap" or catalog that defines all of the bioinformatics methods and tools that our users could employ • "Driving directions" that help users find appropriate tools for specific projects and combine them into workflows • Low-code graphical editor for combining tools into workflows • Backend services for executing workflows and collecting their results • Interactive visualizations for exploring the inputs and outputs of workflows • Management and collaboration tools such as that help users track the progress of their runs and share workflows and runs with team members • Guide the product to the finish line, such as by drafting timelines, organizing meetings, and getting stakeholders to agree to solutions • Continuously advocate for our users by constantly exploring opportunities to enhance and expand our product, including after launch Requirements Must haves • Passion for accelerating biomedical science and engineering • Ability to translate the needs, wants, and motivations of biomedical scientists and engineers into accessible solutions • Strong understanding of bioinformatics methods, tools, formats, and platforms • Experience defining complex products and directing their functionality • Ability to lead a cross-functional team of scientists and engineers to bring our product to market • Ability to work with this team to establish and manage processes for research, development, launch, monetization, support, etc. • Ability to establish a strong communication channel with prospective customers and users in our target market to understand their needs and communicate our vision • Excellent organizational, communication, and leadership skills Nice to haves • Knowledge of drug discovery and/or microbial engineering • Knowledge of data integration, modeling and simulation, and/or data visualization • Knowledge of workflow management tools such as CWL and Galaxy Location Formic Labs is located in South San Francisco, CA. The employee may split their time between in-person and remote work. We will reimburse the employee for relocation. We prefer candidates who want to work with our team in person, but we will consider exceptional remote candidates located in the US. Benefits This position offers competitive salary, benefits, and equity

Create Your Career With Us! Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States. We're proud to offer many development and advancement opportunities to our nearly 50,000 members of the Sanford Family who are dedicated to the work of health and healing across our broad footprint... Facility: Imagenetics Building Location: Sioux Falls, SD Address: 1321 W 22nd St, Sioux Falls, SD 57105, USA Shift: Day Job Schedule: Full time Weekly Hours: 40. 00 Department Details Flexibility with remote work; if working remote full time, travel to Sioux Falls will be required. Job Summary Manage and apply resources to general bioinformatics and medical informatics operations, guided by experience, organizational goals and operational strategies. Also responsible for the management of cyclical projects. Work on complex computational bioinformatics matters where analysis of issues, data and process require advanced specialist knowledge and in-depth industry and technical knowledge. Contribute to the development of genomic clinical assays and their required validation (i.e. polygenic risk scores) Oversee the computational bioinformatics and medical informatics team within the Imagenetics program across the enterprise. Collaborate with medical genetics lab leadership, the technology solutions team and many others. Train, supervise and mentor members of the bioinformatics and medical informatics team. Oversee bioinformatics pipelines for genetic data including planning, quality control, and project specific analyses. Address the technical performance of the various experiments, especially for the array data, by comparing raw, quantile, cubic spline and rank invariant for each experiments. For RNA Sequence data, assist with splice variant analysis and single nucleotide polymorphisms (SNP)/copy number variation (CNV) analysis. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies Qualifications Bachelor s degree in bioinformatics, computer science or related field. Advanced degree in bioinformatics, medical informatics or related field preferred. Minimum five years of related experience in bioinformatics, medical informatics or a closely related field required. Two years in a managerial or leadership position and a demonstrated record of mentoring preferred. Experience in the analysis of high-throughput DNA and RNA sequencing data, including alignment, quality measurements, variant calling, variant annotation, variant prioritization, incidental findings reporting, and transcript quantification is required. Computational experience is to include demonstrated database management, process management, next generation sequence analysis, and presentation of data to clinicians. Preference will be given to individuals with expertise in database vitalization, genetic/epigenetic analyses and medical and/or research informatics experience. Benefits Sanford Health offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, sick leave and paid time off. To review your benefit eligibility, visit . Sanford is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1- or send an email to . Sanford Health has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment. Req Number: R- Job Function: Research Featured: No

Description SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data... REPRESENTATIVE RESPONSIBILITIES •Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. •Data Analysis Executes pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based bioinformatics tools and public/proprietary relational databases. Follows standard operating procedures. Works in collaboration with both technology and scientific teams. •Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Contributes to problem-solving and solution evaluation. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Under general supervision, assists with implementation and testing efforts. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. •Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor's degree in a related field • 0 - 2 years of work experience in a related job discipline Preferred: Unique Skills

Bioinformatics Analyst - Data Scientists Job ID: req1171... Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: Rockville: 9605 MedCtrDr Location: 9605 Medical Center Drive, Rockville, MD 20850 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. Our core values of accountability, compassion, collaboration, dedication, integrity, and versatility serve as a guidepost for how we do our work every day in serving the public's interest. Position Overview: 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. With leading science and technology, the laboratory performs basic research, supports clinical trials and drug development, develops and applies next-generation technologies to solve applied problems while serving as a national resource of high-tech facilities, while also effectively responding to emerging health threats. 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 to effectively enable and advance clinical trials. The Strategic and Data Sciences Initiatives group in BACS works collaboratively to continue to accelerate cancer research with a focus on increasingly effective use of data and scalable computing while guiding development of future computational infrastructure and workforce capabilities needed to address key cancer research challenges. KEY ROLES/RESPONSIBILITIES Bioinformatics Analyst • Responsible for the analysis of bioinformatics data through the use of machine learning techniques, computational methods, and cloud resources to facilitate analysis such as next generation sequencing, functional genomics data, drug data, natural language processing, molecular dynamics simulations, and image processing • Provides expertise and guidance for data integration and data aggregation across multiple data types and data sources • Contributes with educational material and expertise for training initiatives across the program • Contributes to development and testing of data science workflows implemented on High Performance Computing and Cloud systems BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Bachelor's, Master's or PhD from an accredited college or university according to the Council for Higher Education Accreditation in areas related to life science, computer science, data science, or biomedical informatics. (Additional qualifying experience may be substituted for the required education), and • Experience working in clinical/bioinformatics projects with a strong background in programming (e.g. Python, R, Perl, bash) • Working knowledge of bioinformatics methods and data formats (e.g., NGS, medical images, NLP, structural biology, molecular dynamic simulations, etc. ) and experience working with Ph.D. and M.D. researchers • Hands-on experience working with various life sciences research data and metadata including proteomics, genomics, image analysis, and clinical data • Self-motivated and willing to learn and explore technology • Must be able to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • PhD preferred with degree in life sciences, computational sciences, or data sciences • Experience with application of machine learning / deep learning methods for medical data • Experience with cloud environment e.g. AWS, Azure or Google Cloud • Knowledge of scientific workflows development (e.g. Snakemake, Nextflow, CWL, etc.) • Experience with use of containers (e.g., Docker, Singularity, etc.) This position description does not represent a specific job but represents a sourcing announcement for current and future open positions. Our positions span a wide range of skills, so candidates who express an interest may be considered for upcoming positions at Frederick National Laboratory for Cancer Research. Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

Position Summary The Principal Bioinformatics Scientist will be conceptualizing, designing, and taking a leading role in our product development teams with bioinformatics pipelines and analysis towards better and more affordable cell and gene therapy, personalized medicine solutions. Resilience is looking for smart, motivated scientists who enjoy taking on complex challenges, work well in an... agile, dynamic environment, and care about high-quality products and best practices. The ideal candidate thrives on the applications of NGS data analysis (in particular using AI and ML) and is passionate about learning. Resilience rewards initiative, curiosity, a bias for action, a problem-solving attitude, and a desire to bring innovative, simplified solutions to complex problems that ultimately impact patient care. Responsibilities • Algorithm development – Design, prototype, and implement computational algorithms to analyze multi-omics datasets, including large variant calling, Small VC, proteomics, or RNA analysis. Provide technical and strategic leadership to the methods and product development team. • Product development – Collaborate deeply with inter-disciplinary teams to research, develop, and implement algorithms in production-grade software. Provide strong scientific and technical project leadership in the biomanufacturing innovation area, including research and development roadmap coordination. • Leadership – Partner with senior management to develop and oversee new multi-omic analysis pipelines, features, and bioinformatic workflows that support key business objectives and strategies. Qualifications • BSc/MS: 15+ years of experience or Ph.D.: 10+ years of experience in a scientific-analytical field, e.g., computer science, bioinformatics, data science, computational biology. • 10+ years experience in a development environment for increasingly complex analytical intensive products. • Experience with product development life cycle (requirements, agile development, regulatory frameworks) is a must. • Experience in high-performance computing and cloud computing (AWS). • Experience developing products from early-stage concept to volume manufacturing. • Experience leading and mentoring teams required. • Experience in bioinformatics applications to Immunology is a plus. • Experience with microbial genomes is a plus. • Expert knowledge in Python, R, C#, C++, Java, or other common programming languages. • Proficiency in SQL databases. • Good knowledge of software design principles including git, docker, and markdown documentation. • Expert in computational biology, analysis of NGS data, and data analysis is a must. • Ability to motivate, mentor, and inspire a high-capacity technical team. • Excellent organizational skills; Able to manage multiple fast-paced projects simultaneously. • Ability to communicate effectively and professionally across various technical disciplines with a broad slate of stakeholders, including management, peers, customers, and suppliers

The University of Nevada, Reno is recruiting for a Bioinformatics Scientist to support researchers at the University of Nevada and in the Western IDeA states, by providing biostatistics and bioinformatics services for individual research projects. Tasks of the Scientist include, establish proper survey methods and experimental designs for specific projects; apply standard biostatistical methods... to large experimental data sets; utilize standard bioinformatics databases and tools to identify and classify components of a biological system; create mathematical/statistical models to examine whole-omics data; use and develop statistical and computational pipelines to analyze omics data such as RNA-seq, 16s rRNA, ChIP-seq, scRNA-seq, bisulfite sequencing, and high-throughput proteomics (DIA and TMT). Successful applicants are not expected to be proficient in all of these areas. Successful candidates will have proficiency in Linux environments and experience in R and/or Python, a thorough understanding of and interest in biology, the ability to rapidly learn new concepts, attention to detail, strong organizational, problem-solving, and communication skills, ability to work in an environment that is collaborative, innovative, data-driven, and goal-oriented. Required Qualifications Bachelor’s Degree in the fields of biological and/or computational sciences and two (2) years of related work experience; OR a Master’s Degree in the fields of biological and/or computational sciences and one (1) year of related relevant work experience; OR a Doctorate Degree in the fields of biological and/or computational sciences with no post-graduate work experience required. Related Experience: bioinformatics and/or biostatistics or related Preferred Qualifications Bioinformatics is often associated to genomics and transcriptomics, as Core Labs support all omics data. Scientists with a proteomics background are encouraged to apply