Bioinformatics Jobs

We are seeking an expert Associate Director with significant data automation and analysis pipeline integration experience. The successful candidate will help recruit, shape and lead a team of data scientists (4-6) to improve and deliver on our end-to-end workflows vision. Starting with capturing and curating early biologics R&D data to enable and integrate next generation AI approaches across the... department with a focus on delivering new ways of interrogating data in collaboration with IT for better informed pipeline decisions. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding world. ABOUT ASTRAZENECA AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialisation of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies. SITE DESCRIPTION The Gaithersburg site (https://www.youtube.com/watch?v=GOvxXGjBd1w) employs more than 3,500 experts in our field and is only a short drive from Washington, DC. Here, we play host to some of the most cutting-edge technology and lab spaces, all crafted to inspire collaboration and cross-functional science. We are dedicated to crafting a culture of inclusion and collaboration. The Gaithersburg campus offers a variety of amenities to help boost efficiency and help keep our employees happy and healthy. This includes a fitness center, employee healthcare clinic, electric vehicle charging stations, dry cleaning, full-service cafeteria, game rooms, community garden and much more. BUSINESS AREA Join the Biologics Engineering team at AstraZeneca, where we are responsible for the discovery and optimisation of next-generation biological drug candidates across all key therapy areas. We are developing in-house biologics discovery platforms and novel drug modalities to address unmet medical needs. Be empowered to act fast on smart risks and keep ahead in the fast-paced Oncology field. What you'll do • Concept, prototype and integrate data capture, data curation and (bio)informatics workflow automation designed for high throughput processes seamlessly tied into HCP / cloud environments. • Collaborate and work with a diverse group of scientists in both wet and dry labs across all therapeutic areas to ensure impact on and timely progress in pipeline projects. • Interface with LT and teams at our Gaithersburg site ensuring an aligned communication strategy.   • Ability to solve software automation problems and implement improved procedures. • Align with lab automation team on optimised processes enabling High-Throughput solutions. • Be a dynamic leader able to handle pressure while remaining confident. • Line-manage a small team of (bio)informaticians, data scientist and machine-learning scientists. Essential for the role • Ph.D. in Bioinformatics, Molecular Biology, Biochemistry or other relevant scientific field • Minimum 5 years of experience in Bioinformatics and/ or software engineering • Analytics pipeline design/ implementation/ troubleshooting • Line management experience • Familiarity with agile methodologies and code versioning • Familiarity with cloud environments (AWS) and High-Performance-Computing. • Ability to work independently, effectively plan and organize work activities and prioritize task completion to meet project deadlines. • Track record of code development demonstrating scientific innovation as evidenced by scientific publications/code repositories, patents, and oral presentations at conferences. Desirable for the role • Extensive code development experience in more than one programming language, employing Git/similar. • R/Python/Java/Rust coding experience. • Machine-learning experience. • Effective presentation of complex scientific data to cross-functional and senior management. Why AstraZeneca? We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. So, what’s next! • Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Don't delay, apply today! Close date: 15/05/2024 Competitive salary and benefit Our Social Media, Follow AstraZeneca on LinkedIn: https://www.linkedin.com/company/1603/ Inclusion & Diversity: https://careers.astrazeneca.com/inclusion-diversity Career Site: https://careers.astrazeneca.com/ AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements

The Ohio State University is a world-class leader in studying RNA functions in diverse biological systems. The Center for RNA Biology (CRB), a cross-college interdisciplinary center within the Enterprise for Research, Innovation, and Knowledge, seeks an enthusiastic, highly motivated individual to serve as a data scientist in area of bioinformatics. The data scientist will apply cutting edge... bioinformatics approaches to the study of RNA functions in a variety of model systems (viruses, microbes, fungi, plants, invertebrate and vertebrate models) using RNA sequencing approaches. The successful candidate will also be able to effectively communicate and engage with Ohio States RNA research community with the goal to impart foundational training in computational analyses and bioinformatics software utilization to scientists at all career stages. Under guidance of the CRB leadership, the data scientist will help build and expand the community of informatics aware RNA biologists and showcase the scientific power of bioinformatics driven study of RNA functions and applications. Ohio State offers access to state-of-the-art core facilities (e.g., the Ohio Supercomputer Center) and instrumentation, a collaborative and collegial environment, and multiple centers and programs that relate to RNA research (Infectious Diseases Institute, Center for Retroviral Research, Comprehensive Cancer Center). CRB encompasses 45 research labs across five Colleges, all with extramurally-funded research programs, several with an existing/nascent bioinformatics focus. The position also offers the opportunity to network with other data scientists and analysts in genomics/bioinformatics initiatives within other centers and institutes (Center of Microbiome Science, IDI-Genomic Sequencing and Microbiology Services). The successful candidate will report to the Center of RNA Biology director and will work collaboratively and with guidance of a team that comprises an advisory data science faculty committee. The successful candidate will initially deploy pre-existing computational workflows to start building intellectual capacity within CRB to carry out core analyses of large-scale RNA-Seq datasets (e.g. bulk RNA-Seq, small RNA-Seq, single cell RNA-Seq, RIP- and CLIP-Seq, Ribo-Seq, SHAPE-MaP-Seq). With guidance of the advisory committee, the candidate will also lead regular workshop s and hold office-hours to educate undergraduate and graduate students, postdoctoral fellows and faculty in core bioinformatics analyses using available high-performance computing infrastructure and software packages. Once established, the successful candidate will liaise with CRB leadership, faculty and researchers across the center to assist select individual investigator-led teams on diverse RNA focused projects by providing core and custom bioinformatic deliverables in predominantly collaborative interactions leading to co-authorship opportunities in some of the most cutting-edge RNA science at Ohio State; work with investigators to develop protocols, manuscripts and grant proposals focused on bioinformatics; influence bioinformatic deliverables through collaborations; effectively communicate to CRB scientists informatic workflows as they are updated. The successful candidate is expected to work alongside the advisory committee and utilize their skills and capabilities to expand the position in myriad ways including to assess the driving and emerging research questions in CRB labs; stay abreast of the literature to identify bioinformatics approaches that are not yet mature and may be best performed via the CRB data science initiative. Additionally, the successful candidate may have opportunities to participate in CRB leadership and/or investigator-lead grant writing and strategic planning as needed. Required and Desired Education and Qualifications Required: Bachelors degree in relevant biological sciences, computational biology, computer science or biomedical engineering area or an equivalent combination of education and experience. Minimum of two years of experience in genome-scale sequence analysis, statistics, data management, version control.Experience working with large-scale datasets using Linux/Unix, high-performance computing, and open-source scripts. Superb communication skills. Well-developed interpersonal skills. In addition to required experience above, successful candidate is desired to have: Masters or PhD in relevant biological sciences, computational biology, computer science or biomedical engineering area. Two to four years of experience in genome-scale sequence analysis, statistics, data management, version control. Experience in providing training in computational methods at or above undergraduate level. Excellent attention to detail and organizational skills. Public speaking and presentation competence; grant/manuscript writing experience. Function: Clinical Laboratories Subfunction: Bioinformatics Career Level: S2 This is a term position (minimum of one year and a maximum of three years). There is a possibility of extension based on performance and unit budget . We strive to offer a competitive salary. The targeted salary range for this position is $62,700 - $83,600. The actual offer for this position will be based on a combination of education, relevant work experience, and skill level. The Ohio State University offers competitive and comprehensive benefit options. Explore https://hr.osu.edu/careers/ for more information

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 new Department of Host-Microbe Interactions is seeking a talented and highly motivated Principal Bioinformatics Research Scientist or Lead Bioinformatics Research Scientist with extensive experience in large-scale microbial genomic data analysis to create and direct the new Microbial Computational Genomics and Bioinformatics Laboratory at St. Jude Children’s Research Hospital. The Microbial Computational Genomics and Bioinformatics Laboratory's mission is to support initiatives on microbial genomic, phylogenomic, and computational needs of researchers in the Department of Host-Microbe Interactions and the Center for Infectious Disease Research. The laboratory is a major initiative backed by substantial support as a part of our institutional strategic plan and will be fully integrated with research in microbial evolution, microbial pathogenesis, virology, the microbiome, computational biology, and data sciences at St. Jude Children’s Research Hospital. The focus of this position is on bacterial and viral genomics, using specimens and data obtained from our healthcare system to address key questions such as the acquisition of antimicrobial resistance, genome heterogeneity, outbreaks, transmission, and the identification of potential targets for the generation of novel therapies. This will be achieved using a combination of approaches, including: short-and long-read whole genome sequencing; phylogenomic, transcriptomic, and bioinformatics approaches involving electronic health data; and experimental data generated by collaborating partners. Data analysis will focus on answering clinical questions, generating insights to prevent infections, and building predictive models of disease susceptibility. The successful candidate will assemble a team of Ph.D.- and MS-level bioinformaticians and data scientists to analyze and interpret newly generated as well as existing large collections of microbial whole-genome sequences and metagenomes, using cutting-edge bioinformatics approaches to address project aims. 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, including clinicians, basic scientists, and data scientists. The ideal candidate should have: • A PhD and extensive postdoctoral experience in microbial genomics, phylogenomics, bioinformatics, computational biology, and data science. • A strong CV that includes high-profile publications in the field of computational biology and microbial genomics. • Extensive expertise in analyzing, interpreting, and visualizing microbial genomics and microbiome 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 microbial 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. • Preferably, proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git). • Preferably, experience with database management systems such as MySQL. • Extensive expertise in data integration and harmonization. • Possess a deep understanding of essential bioinformatics concepts and algorithms, e.g., alignment, SNP nucleotide calling, classification of nucleotide and protein sequence, phylogenetics, and genomic assembly. • Previous experience working in the field of infectious diseases is preferred. • Proven problem-solving skills and collaborative nature in fast-paced environment. • Excellent communication and presentation skills. Responsibilities: • Develop and apply state-of-the-art computational approaches to characterize and assemble microbial genomes and metagenomes. • Attract, recruit, and supervise staff to create a strong team for the operation of the Microbial Computational Genomics and Bioinformatics Laboratory. • Collaborate with the St. Jude Children’s Research Hospital data science initiative to develop computational pipelines for handling large, complex genomic datasets requiring custom approaches to accommodate project-specific analytical requirements. • Interface and collaborate with the IT department to develop and maintain capabilities for analysis, interpretation, and storage of the genomic data. • Maintain a high level of professional expertise through familiarity with scientific literature and scientific networking. • Create and implement educational and outreach programs to enhance microbial genomics capabilities and usage within the St. Jude Children’s Research Hospital community. • Train MS and PhD level graduate students in microbial computational genomics. • Collaborate and enable external funding applications. Minimum Education: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) 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, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • 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, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • 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 $138,320 - $262,080 per year for the role of Principal/Lead 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

The National Library of Medicine (NLM) is seeking a Supervisory Bioinformatics Specialist to work in the National Center for Biotechnology Information (NCBI) to lead the ClinicalTrials.gov program. As a national resource for molecular biology information, NCBI's mission is to develop new information technologies to aid in the understanding of fundamental molecular and genetic processes that control health and disease. To learn more visit: NLM/NCBI.

The Bioinformatics Analyst will work closely with the Spatial Biology Core (SBC) director (https://med.virginia.edu/spatial-biology-core/) to assist in the experimental design and analysis of research projects and provide expert consultation and technical/scientific support to UVA investigators. The SBC is seeking an Analyst to develop and establish computational methodologies and design... integrative data science approaches to study Spatial Multi-Omics analysis. The successful candidate will have a demonstrated ability to translate biological questions into technical design, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. The analyst will participate in meetings and consultations with clients to discuss design and interpretation and will assist in manuscript and grant preparation. The candidate should have a passion for bioinformatics and enjoy collaborating and supporting academic researchers and attending seminars and meetings. The successful candidate will be responsible for: • Organizing and managing Spatial data sets. • Manipulating and formatting data with R-package, Python, and Seurat tools. • Develop a pipeline to analyze Spatial context related to transcriptomics and proteomics data. • Using established open-source software and tools to assess quality and analyze data. • Running analyses on a high-performance computing cluster. • Using software or genome browsers for visualization. • Consulting with UVA investigators on experimental design, result interpretation, and grant and manuscript preparation. • May be asked to perform other duties as assigned. MINIMUM REQUIREMENTS Education: Master's or terminal degree Experience: Five years of specialized experience. Preferred Qualifications: • Ph.D. in Bioinformatics, Genomics, Biostatistics, Computer science or a related field. • M.S. + experience in bioinformatics or data science. • Advanced proficiency with R/Bioconductor or Python or C/C++. • Knowledge of database development and AI. • Experience with open-source software, tools, and databases for analyzing Spatial data analysis (GeoMx, CosMx, 10x Visium, Multiplex Analysis, etc.). PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. This is a restricted position and is dependent upon project need, availability of funding and performance. For more information on the benefits at UVA, visit https://hr.virginia.edu/benefits. This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. TO APPLY Please apply through Careers at UVA, and search for R0055457. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. Complete an application online with the following documents: • CV or Resume • Cover letter Applications that do not contain all required documents will not receive full consideration. References will be completed via UVA’s standardized process Skill Survey during the final phase of the interview process. For questions about the application process, please contact Jeremy Brofft, Senior Recruiting Specialist at xmf9ad@virginia.edu. For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information

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

Job Description: Summary... The KLemon Lab at Baylor College of Medicine is hiring a bioinformatics analyst l. Our long-term goal is to identify bacterial strains and compounds that will be leads for new approaches to prevent and treat infections due to nasal bacterial pathobionts and respiratory viruses. To achieve this, we are elucidating the molecular mechanisms of interspecies interactions in the human nasal microbiome. The bioinformatics analyst I will perform bioinformatic analysis on human nasal microbiota data and human nasal organoids. A complete application includes a CV, examples of your work on GitHub, the names and email addresses for three references and a cover letter. Job Duties Work closely with the Bioinformatics Manager to: • Research, assess, and test third-party bioinformatic workflows and software. • Establish, test, and improve bioinformatic workflows. • Establish a custom database to storage and process data generated from Human Nasal Organoid wet-lab experiments. • Use computational analyses and biological interpretation of results to review existing data and propose improvements. • Ensure proper documentation, accuracy and storage of all data generated using bioinformatic tools. Assist microbiologists in lab to learn documentation skills and to perform basic bioinformatic analyses using workflows. • Maintain computational resources in the lab, which includes taking the lead on troubleshooting any hardware, software, or platform issues and interfacing with BCM IT and outside software/hardware vendors. • Take the lead both on producing data that generates new hypotheses and on testing hypotheses using bioinformatic analyses with a focus on bacterial phylogenomics, pangenomics, and metapangenomics to generate data for publication. Then, as needed, assist with key experiments to test hypotheses generated. • Write publication quality methods and results for both main and supplemental figures and tables that result from bioinformatic data analysis. This includes appropriate citations, which requires reading both the bioinformatic and microbiological literature related to the project. Prepare publication-quality final figures of bioinformatic data, along with figure legends. • Participate in weekly lab meetings, subgroup meetings, and meetings with PI. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • No experience required. Preferred Qualifications • Master’s degree in a field listed above or a related field. • Three years of research experience using bioinformatics for microbiome or bacterial or bacterial-host research can substitute for preferred education experience. Requisition ID: 18501

We are hiring an Applied Bioinformatics Research Scientist to identify metabolic vulnerabilities in lung cancer for therapeutic targeting. Lung Cancer is the most common cause of cancer deaths worldwide. Tyrosine kinase inhibitors and immunotherapy have been shown to be effective in a subset of patients; however, the overall survival rate for this disease remains low, especially for metastatic... disease. Moreover, small cell lung cancer (SCLC) patients have a poor prognosis, and there especially exists a gap in knowledge in understanding SCLC and identifying effective therapeutic strategies. The goal of our research team is to understand the underlying biology of key drivers in lung cancer by identifying metabolic vulnerabilities that can ultimately be used as single agents or combined with immunotherapy to target lung cancer therapeutically. Join our team of researchers who are funded through a P01 Program Project Grant! To learn more, click on the following link - https://www.moffitt.org/research-science/research-teams/lung-cancer-metabolism-working-group/faculty/ Position Highlights: • Work on unique, multi-omics datasets to support translational lung cancer metabolism research. • Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data. • Enjoy a close working relationship with bioinformaticians, statisticians, bench scientists, and translational researchers to establish a well-rounded multidisciplinary team. • Join an institute that highly values computational research. The Ideal Candidate: • Experience working with at least one “omics” type (e.g., DNA-seq, RNA-seq, metabolomics, proteomics). • Preference will be given to candidates with experience in integration of multi-omics data. • Programming experience in statistical program R and/or scripting languages such as Python/Perl on Unix/Linux systems. • Highly motivated and independent researcher with a background in cancer biology. • Excellent communication and writing skills. Responsibilities: • Supports the full life cycle of omics data: experimental design, data quality control, differential expression analysis, biological interpretation of results, and delivery. • Ensures timely and proper analysis of omics data generated by the team. • Maintains or develops new functionality for bioinformatics pipelines to analyze and visualize multi-omics data. • Collaborates on a variety of cancer and bioinformatics research projects. Credentials and Qualifications: • PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields. Moffitt Cancer Center is the only NCI Designated Comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city, which has become a hub for ground-breaking research. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the US. If you have the vision, passion, and dedication to contribute to our mission, then we have a place for you. How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, a current CV with recent publications, and contact information for three references to Drs. Xiaoqing Yu (xiaoqing.yu@moffitt.org) and Paul Stewart (paul.stewart@moffitt.org). Equal Employment Opportunity Moffitt 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, age, or protected veteran or disabled status. Moffitt seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence

Job Description We are seeking a highly motivated bioinformatics scientist to join our global research team. The scientist will evaluate, develop, and optimize computational methods to analyze next-generation sequencing datasets in support of our drug discovery and development programs, and will produce robust bioinformatics pipelines that can be operated on high-performance computing clusters... and in the cloud. The scientist will collaborate with biologists and data analysts across diverse therapeutic areas, such as Oncology, Immunology, Infectious Diseases & Vaccines, Neuroscience, and Pharmacokinetics. Required Experience and Skills: • Ph.D. plus at least one year of experience in bioinformatics, OR master’s degree plus at least five years of experience in bioinformatics • Experience analyzing next-generation sequencing datasets, such as WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, and single-cell applications • Experience with a pipeline scripting language such as Nextflow • Experience developing and evaluating methods for common bioinformatics applications, such as alignment, assembly, variant detection, genome enrichment, and phylogenetics • Familiarity with common bioinformatics file formats (FASTA, FASTQ, BAM, VCF, etc.) • Proficiency in programming languages (e.g., Python, R, C++) in a Unix/Linux environment • Experience with high-performance Linux clusters and cloud computing • Experience leveraging online resources (software manuals, GitHub, Stack Overflow) to troubleshoot • A proven track record of scientific publications • Excellent interpersonal and team skills • Excellent oral and written communication skills in English Preferred Skills: • Experience with containers (Docker, Singularity) • Experience in applying and optimizing machine learning tools NOTICE FOR INTERNAL APPLICANTS In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions. If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separationpackage, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor. Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission. Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ Pay Transparency Nondiscrimination We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education. Expected salary range: $122,800.00 - $193,300.00 Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here. Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): na Requisition ID:R283672

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 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 Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of diabetes, obesity and associated complications. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation obesity therapeutics. Specifically, we are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from clinical trials on cloud based clinical multi-omics platforms. Would you like to be involved in groundbreaking drug discovery? Apply today to join the Lilly Team! You will operate as part of a team of DOCTA early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists to: • Work with bench scientists to develop experimental hypotheses and help design computational pipelines • Analyze high throughput molecular readouts including proteomics, RNAseq, single cell and spatial platforms and contribute to data interpretation and biological conclusions • Help building databases and visualizations using internal and external datasets • Manage and automate storing and integrating multi-omics data into databases hosted in the cloud • Contribute to scientific and strategy discussions to advance and improve Lilly Bioinformatics Basic Requirements: • Masters degree in biological data analysis and management, bioinformatics, computational biology or similar and at least 1+ years of relevant experience • Bachelors degree in biological data analysis and management, bioinformatics, computational biology or similar and at least 2+ years of relevant experience Additional Skills/Preferences: • Familiarity with Linux shell scripting and other commonly used programming languages • Experience working with high performance computing in a distributed/cloud environments • Demonstrable analysis experience with omics or relevant datasets • Strong written and verbal communication skills • Software development standard processes, including agile, version control, unit and integration testing, documentation, and deployment • Familiarity with AI/ML model development and applications • Experience with software and data architecture engineering • Ability to manage multiple concurrent, fast-paced projects and to work with collaborators from both wet lab and dry lab 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. #WeAreLilly