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    DESCRIPTION

    About Us:
    OSTHUS brings innovative scientific informatics applications to many of the world's largest pharmaceutical, Crop Sciences and Life Sciences companies. We provide both software solutions as well as consulting expertise to help guide your business strategy in adopting valuable technologies. With teams of unique interdisciplinary experts, we help our clients solve new kinds of global data-driven challenges in Pharma and Life Sciences.

    What We Offer You:
    • Working in a professional team without rigid structures
    • Opportunities to contribute with and develop your own ideas
    • Many opportunities to develop personally and professionally
    • We offer individual coaching, training, language courses, and online training
    • Working in international teams with flat hierarchies
    • Flexible working hours and home office options
    • Team events, such as breakfast together, bowling, a summer party, and a Christmas party
    • Adequate remuneration and company pension scheme
    Here's What You'll Do:
    • Work on consulting and IT projects for leading international pharmaceutical and chemical companies
    • Actively engage in knowledge exchange with subject matter experts
    • Evaluate and integrate public and proprietary scientific knowledge
    • Elicitation, analysis, and implementation of requirements
    • Data curation using semantic standards, technologies and tools for reference and master data management
    • Implementation and maintenance of data analysis workflows and pipelines
    • Provide support for ad-hoc project requests
    This Is What You Need to Succeed:
    • A Master's degree in Informatics, Cheminformatics, Chemistry or a related field in the Life Sciences
    • Your have programming experience in R, Python or similar
    • Experience in semantic web standards like RDF, OWL and SPARQL
    • Great interest in continuous development, the ability to analyze complex issues and question them critically
    • You develop solutions for problems, and question them critically
    • High customer-oriented way of working and good presentation skills
    • Experience in working in international and cross-functional teams as well as full working proficiency in English and German

    LOCATION

    Aachen or remote work

    HOW TO APPLY

    You were mentally checking boxes on our requirements? Great!

    Please e-mail your application and résumé to career[at]osthus.com. Make sure to include the following:
    • When you would like to start at OSTHUS
    • How much you would like to earn with us
    • What attracts you to this job with us
    • Finally, refer to "Consultant - Life Science Informatics (m/f/x)" in the subject line
    This way, we can get a good picture of how well we fit together. You can address your application to our colleague Frauke Nonne.

    If you have any questions upfront, please do not hesitate to contact us via email or simply send us a message via WhatsApp: +49 151 11435345.

    Thank you for your time and your interest! We look forward to hearing from you.

    DESCRIPTION

    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.

    RESPONSIBILITIES

    Pre-Analysis (35%): 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 (35%): 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.

    REQUIREMENTS

    Required Education: Bachelor's Degree in biological or computational discipline.

    PREFERENCES

    Preferred Education: Master's Degree in biological or computational discipline.

    Preferred Experience: More than 3 years in applied bioinformatics, computational, and genomics/proteomics areas.

    Additional Technical Requirements:
    • Strong UNIX/LINUX expertise required.
    • Experience with Python, Perl, Scala, Ruby or other programming languages required.
    • Experience with Apache Spark strongly preferred.
    • Experience working under Zeppelin, Jupyter or other notebook environments strongly preferred.
    • Experience with R strongly preferred.
    • Experience with genomic data analysis strong 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 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.
    • Eager to learn new things and contribute to scientific discoveries.

    LOCATION

    Philadelphia, PA or Remote.

    HOW TO APPLY

    Apply online: https://careers.chop.edu/job/Philadelphia-Bioinformatics-Scientist-I-64018-PA-19146/832240100/

    POLICY

    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

    BACKGROUND

    While this position is 100% remote / telecommuting, the successful candidate must reside within commutable / driving distance to the CDC and GDIT offices to attend meetings twice a month. PLEASE NOTE – Work visa sponsorship will not be provided for this position.

    RESPONSIBILITIES

    Our work depends on a Data Sciences Development Lead joining our team to support the Centers for Disease Control and Prevention at its headquarters in Atlanta, GA.

    At GDIT, we put our people first. As our Data Sciences Development Lead, you will be a highly skilled professional with experience leading development efforts for a team of bioinformaticians and data scientists. This position requires experience performing data science and developing data science tools using R/Python and with the full lifecycle of data, including management, integration, analysis, and visualization. In this role, you will lead development efforts of a small team of skilled bioinformaticians and data scientists on a range of projects, including data analysis, automation, pipeline/workflow development. In this role, a typical day will include:
    • Lead the development efforts of a team of data scientists and bioinformaticians
    • Facilitate the Agile development process
    • Support the development of data science workflows
    • Support for the integration of data of multiple types from multiple sources
    • Perform statistical analysis using R and Python
    • Create data visualizations using Tableau, D3, or other tools
    Your success will be measured through project-based deliverables associated with software and tools as directed by our client.

    REQUIREMENTS

    • BA/BS + 2 years of relevant experience OR a Masters or equivalent in Bioinformatics, Biostatistics or Computational Biology or other relevant discipline
    • Demonstrated programming/scripting ability in languages such as R/Python/Java/C++
    • Demonstrated fluency in UNIX/Linux and high-performance computing environments
    • Comfortable working in a dynamic, fast paced environment
    • Excellent oral and written communication skills

    PREFERENCES

    • Masters' Degree in Computer Science, Information Systems, Statistics, Engineering, or related field with three (3) years' experience with data management, analytics, and visualization approaches/tools
    • Experience using workflow tools (e.g., Nextflow, Snakemake) to automate routine data analyses
    • Experience with Agile software development methodology
    • Scrum Master experience
    • Experience leading development teams
    • Experience gathering project requirements
    • Experience building application on or migrating applications to commercial cloud providers
    • Experience optimizing software to run on graphics processing units (GPUs)

    COMPENSATION

    $100,000 annually plus full benefits

    LOCATION

    Atlanta, GA metro – 100% Remote except for bi-monthly meetings at the CDC

    HOW TO APPLY

    Apply online: https://www.gdit.com/careers/job/8e852933f/remote-data-sciences-development-lead/

    DEADLINE

    June 15

    BACKGROUND

    The South Australian Genomics Centre (SAGC) (https://www.sa-genomics.com.au/index.php) is a multi-institutional, national genomics and bioinformatics facility that is supported by Bioplatforms Australia (BPA) through the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS). The SAGC has consolidated genomics and bioinformatics expertise in the state, with a group of ~10 genomics and bioinformatics staff working side-by-side to deliver innovative genomics and bioinformatics solutions across all areas of genomics research, including agriculture, healthcare and ecology. In 2021, the SAGC was designated as a 10x Genomics Reference Site in spatial transcriptomics and is making significant new investments to develop and apply these technologies.

    An exciting opportunity now exists for an experienced (Level B) post-doctoral bioinformatician/computational biologist to join the SAGC bioinformatics platform. To flourish in this role, you will already have a deep understanding of single-cell transcriptomics data analysis and have at least a keen interest, if not existing experience, in the application of spatial transcriptomics and/or other spatial omics approaches to biomedical research questions.

    As an experienced bioinformatician you will work with a relatively high degree of independence in the area of single cell and spatial omics data analysis. Single cell and spatial omics technologies available to us include the Chromium X, Visium, STomics, and NanoString technologies and we are actively collaborating with other researchers and facilities who are developing other spatial omics methods (e.g. spatial lipidomics and metabolomics).

    You will have a sound understanding of software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. Staff are expected to enable research by leading the development of reproducible, standardised pipelines for single cell and spatial data analysis as well as the development of new methods, pipelines and data visualisation tools. Your career development will be supported and you will be encouraged to publish your research and to collaborate/lead major funding applications to NHMRC, ARC or MRFF.

    This role requires the successful candidate to be a team player with excellent communication skills. You will also contribute to the SAGC's education and outreach activities by leading hands-on training workshops.

    RESPONSIBILITIES

    Key responsibilities include:
    • Provide end-to-end bioinformatics analysis support to our collaborators working in the single cell or spatial omics fields.
    • Develop and publish new bioinformatics pipelines, software and resources that advance capabilities in single cell and spatial omics data analysis.
    • Lead the writing of reports and publications relating to your work.
    • Contribute or lead the development of competitive funding applications to NHMRC, ARC, MRFF or other funding agencies.
    • Contribute to the development and organisation of hands-on training workshops.
    • Ensure successful transfer of knowledge to other members of the SAGC bioinformatics team.

    REQUIREMENTS

    The successful candidate will possess the following key attributes:
    • PhD or equivalent experience, in either bioinformatics, computer science, physics, statistics or other relevant discipline
    • Post-doctoral experience in a research, industry or bioinformatics role
    • Have a deep understanding of single-cell transcriptomics data analysis
    • Prior experience with, or a keen interest in, spatial transcriptomics data analysis - particularly the Visium, STomics and NanoString technologies
    • Have a broad understanding of several of the following areas
      • Transcriptomics: bulk RNAseq, scRNAseq, spatial transcriptomics
      • Genomics: variant, haplotype and diversity analysis, genome assembly, metagenomics, epigenetics
      • DevOps: version control, test driven development and continuous integration, containerisation using Docker/Singularity
      • Systems biology: multi-omics data integration, statistics
      • Statistics: linear models, ANOVA, hypothesis testing
      • Visualisation: data visualisation and User Interface/Experience design
      • Workflow systems: Snakemake and/or Nextflow
      • Other omic's technology: metabolomics, proteomics
    • Prior experience with at least two of the following scripting languages: bash, R, Python and Perl

    TERMS

    Full Time, 2 Year Contract

    COMPENSATION

    Salary Range $95,000 - $110,000

    Salary packaging options available to help increase your take home pay

    LOCATION

    The SAGC central hub is located in the South Australian Health and Medical Research Institute (SAHMRI) building in Adelaide's Biomed City precinct. Adelaide, SA 5000 Australia

    HOW TO APPLY

    Start your application online at https://aurecruitment.actionhrm.com/myrecruit/newApplicationWizard.htm?pc=JDdo5zHsli1emqD7l0zSqQxx

    View the full position description at https://sahmri.blob.core.windows.net/human-resources/SAGC_Postdoctoral%20Bioinformatician%20in%20Single%20Cell%20and%20Spatial%20Omics%20Data%20Analysis_FINAL.pdf

    For more information view the vacancy on our website https://sahmri.org.au/careers-and-study/working-at-sahmri/vacancies/postdoctoral-bioinformatician-in-single-cell-and-spatial-omics-data-analysis

    DEADLINE

    Applications Close 11:29pm ACST Tuesday 31 May 2022

    BACKGROUND

    The South Australian Genomics Centre (SAGC) (https://www.sa-genomics.com.au/index.php) is a multi-institutional, national genomics and bioinformatics facility that is supported by Bioplatforms Australia (BPA) through the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS). The SAGC has consolidated genomics and bioinformatics expertise in the state, with a group of ~10 genomics and bioinformatics staff working side-by-side to deliver innovative genomics and bioinformatics solutions across all areas of genomics research, including agriculture, healthcare and ecology.

    An exciting opportunity now exists for an experienced (Level B) post-doctoral bioinformatician/computational biologist to join the SAGC bioinformatics team. To flourish in this role, you will need to be able to thrive in a fast-paced environment, work across multiple different projects and to possess excellent organisational and time-management skills.

    As an experienced bioinformatician you will have a deep understanding of at least one area of bioinformatics and have the ability to work independently and support junior members of the team to reach their full potential. You will have a sound understanding of software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. Staff are expected to enable research by leading the development of reproducible, standardised pipelines for genomics data analysis and, where necessary, new methods and pipelines. Your career development will be supported and you will be encouraged to publish your research and to collaborate on major funding applications to NHMRC, ARC or MRFF.

    The role requires a significant amount of face-to-face time with clients to scope out projects, communicate findings over the course of a project, and present a final report. In addition, you will lead hands-on training workshops, in your area of expertise, to teach attendees how to extract maximum value from their data.

    RESPONSIBILITIES

    Key responsibilities include:
    • Provide end-to-end bioinformatics analysis support to SAGC clients
    • Develop and publish new bioinformatics software and resources that supports SAGC researchers
    • Develop reproducible analytical workflows with a view to improve internal efficiencies as well as client experiences and to add new SAGC service offerings
    • Contribute or lead the drafting of reports and publications relating to your work
    • Contribute or lead the development of competitive funding applications to NHMRC, ARC, MRFF or other funding agencies
    • Contribute to the development and organisation of hands-on training workshops

    REQUIREMENTS

    The successful candidate will possess the following key attributes:
    • PhD or equivalent experience, in either bioinformatics, computer science, physics, statistics or other relevant discipline
    • Post-doctoral experience in research, industry or bioinformatics support role
    • Have a broad understanding of several of the following areas and a deep understanding in at least one:
      • Transcriptomics: bulk RNAseq, scRNAseq, spatial transcriptomics
      • Genomics: variant, haplotype and diversity analysis, genome assembly, metagenomics, epigenetics
      • DevOps: version control, test driven development and continuous integration, containerisation using Docker/Singularity
      • Systems biology: multi-omics data integration, statistics
      • Statistics: linear models, ANOVA, hypothesis testing
      • Visualisation: data visualisation and User Interface/Experience design
      • Workflow systems: Snakemake and/or Nextflow
      • Other omic's technology: metabolomics, proteomics
    • Prior experience working in biomedical, agricultural or environmental research
    • Prior experience with at least two of the following scripting languages: bash, R, Python and Perl

    TERMS

    Full Time, 2 Year Contract

    COMPENSATION

    Salary Range $95,000 - $110,000

    Salary packaging options available to help increase your take home pay

    LOCATION

    The SAGC central hub is located in the South Australian Health and Medical Research Institute (SAHMRI) building in Adelaide's Biomed City precinct. Adelaide, SA 5000 Australia

    HOW TO APPLY

    Start your application online at https://aurecruitment.actionhrm.com/myrecruit/newApplicationWizard.htm?pc=ju__H5Agaky3c6Y6UpDt6Axx

    View the full position description at https://sahmri.blob.core.windows.net/human-resources/SAGC_Bioinformatician_Computational%20Biologist_FINAL.pdf

    For more information view the vacancy on our website https://sahmri.org.au/careers-and-study/working-at-sahmri/vacancies/bioinformatician-computational-biologist

    DEADLINE

    Applications Close 11:29pm ACST Tuesday 31 May 2022

    BACKGROUND

    The South Australian Genomics Centre (SAGC) (https://www.sa-genomics.com.au/index.php) is a multi-institutional, national genomics and bioinformatics facility that is supported by Bioplatforms Australia (BPA) through the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS). The SAGC has consolidated genomics and bioinformatics expertise in the state, with a group of ~10 genomics and bioinformatics staff working side-by-side to deliver innovative genomics and bioinformatics solutions across all areas of genomics research, including agriculture, healthcare and ecology.

    An exciting opportunity now exists for an entry level post-doctoral researcher or experienced MSc-level bioinformatician to join the SAGC bioinformatics team. To flourish in this role, you will need to be able to work across multiple different projects and to possess excellent organisational and time-management skills. This role is primarily responsible for conducting bioinformatics analyses on a wide variety of client projects with varying levels of complexity. You will have a varied and interesting workload across projects in different biological disciplines.

    There are significant opportunities for professional growth and development through exposure to data sets from different genomics technologies. Staff are expected to enable research by leading the development of reproducible, standardised pipelines for genomics data analysis and, where necessary, new methods and pipelines. Your career development will be supported and you will be encouraged to publish your research and to collaborate on major funding applications to NHMRC, ARC or MRFF. You will also be supported to develop your bioinformatics capabilities; ensuring that the SAGC can remain at the forefront of genomics. It is expected that you will have interest in and develop your capabilities in at least one specialist area of bioinformatics.

    RESPONSIBILITIES

    Key responsibilities include:
    • Provide end-to-end bioinformatics analysis support to SAGC clients
    • Develop reproducible analytical workflows with a view to improve internal efficiencies as well as client experiences
    • Contribute to/or lead the drafting of reports and publications

    REQUIREMENTS

    The successful candidate will possess the following key attributes:
    • MSc, PhD, or equivalent experience, in either bioinformatics, computer science, physics, statistics or other relevant discipline
    • Have a broad understanding of at least two of the following areas and a significant interest in developing a deep understanding in at least one:
      • Transcriptomics: bulk RNAseq, scRNAseq, spatial transcriptomics,
      • Genomics: variant, haplotype and diversity analysis, genome assembly, metagenomics, epigenetics
      • DevOps: version control: test driven development and continuous integration, containerisation using Docker/Singularity
      • Systems biology: multi-omics data integration, network analysis
      • Statistics: linear models, ANOVA, hypothesis testing
      • Visualisation: data visualisation and User Interface/Experience design
      • Workflow systems: Snakemake and/or Nextflow
      • Other Omic's technology: metabolomics, proteomics
    • Prior experience with at least one of the following scripting languages: bash, R, Python and Perl

    COMPENSATION

    Salary Range $80,000 - $95,000 AUD

    Salary packaging options are available to help increase your take home pay.

    LOCATION

    The SAGC central hub is located in the South Australian Health and Medical Research Institute (SAHMRI) building in Adelaide's Biomed City precinct. Adelaide, SA 5000 Australia.

    HOW TO APPLY

    Start your application online at https://aurecruitment.actionhrm.com/myrecruit/newApplicationWizard.htm?pc=4sXeVnEiKti14meEA1HzLgxx

    View the full position description at https://sahmri.blob.core.windows.net/human-resources/SAGC_Bioinformatics%20Officer_FINAL.pdf

    For more information view the vacancy on our website at https://sahmri.org.au/careers-and-study/working-at-sahmri/vacancies/bioinformatics-officer

    DEADLINE

    Applications close 11:29pm ACST Tuesday 31 May 2022

    BACKGROUND

    The Royal Botanic Gardens, Kew is establishing a new benchmark in plant biology by completing the plant tree of life, mining Kew's collections with novel genomic methods and generating DNA data unprecedented in scale and diversity. Over the past six years, we have assembled genomic data for over half of the 13,600 genera of flowering plants, making them publicly available on-line and using them in an extensive scientific research programme. We have recently secured major new funding and are now building a team to finish the job. We're looking for a highly motivated, collaborative expert to play a central role in delivering the bioinformatic requirements of the project.

    RESPONSIBILITIES

    The successful candidate will join an established, vibrant, multi-disciplinary team of scientists. In collaboration with existing project informaticians, you will be responsible for analysing and managing project data, as well as developing software to enable the construction of a complete tree of life for plants.

    REQUIREMENTS

    You will be an excellent bioinformatician or software engineer with appropriate professional experience and a proven background in genomic data manipulation and management, ideally in a research environment. You will have a track record of helping to design and build robust bioinformatics pipelines, with experience of high-performance computing, relevant programming languages (such as Python) and relational databases. Expertise in phylogenomics is desirable but not essential. You will be a proven team player, with the ability and appetite to deliver project outputs, outreach, and to train and support researchers and students as required.

    LOCATION

    This role is based at the Royal Botanic Gardens, Kew (UK) with the option of regular home working, subject to operational requirements.

    COMPENSATION

    £32,000 - £37,000 per annum.

    Our fantastic benefits package includes opportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership. We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst.

    HOW TO APPLY

    Complete the online form, applicants must also upload 1) a letter of motivation and 2) a full CV, including details of publications and software.

    https://careers.kew.org/vacancy/bioinformatician-completing-the-plant-tree-of-life-project-483936.html

    DEADLINE

    24 May 2022

    DESCRIPTION

    About OSTHUS:
    OSTHUS brings innovative scientific informatics applications to many of the world's largest pharmaceutical, Crop Sciences and Life Sciences companies.

    We provide both software solutions as well as consulting expertise to help guide your business strategy in adopting valuable technologies.

    With teams of unique interdisciplinary experts, we help our clients solve new kinds of global data-driven challenges in Pharma and Life Sciences.

    What we offer you:
    • Working in a professional team without rigid structures
    • Opportunities to contribute with and develop your own ideas
    • Many opportunities to develop personally and professionally
    • We offer individual coaching, training, language courses, and online training
    • Working in international teams with flat hierarchies
    • Flexible working hours and Home office options
    • Team events, such as breakfast together, bowling, a summer party, and a Christmas party
    • Adequate remuneration and company pension scheme
    Here's what you'll do:
    • Work on international consulting and IT projects with leading pharmaceutical and chemical companies
    • Provide support for ad-hoc project requests and actively engage in knowledge exchange with customers
    • Design, implement and maintain data analysis workflows and pipelines
    • Evaluate and integrate public and proprietary scientific knowledge and bioinformatics applications
    • Collaborate closely with stakeholders to implement scientific requirements into bioinformatics solutions
    What you need to succeed:
    • You have a Master's degree in Bioinformatics, Biotechnology, Informatics or related field in Life Sciences
    • You have experience in the Pharma and / or Biotech industry
    • You have analyzed multi-OMICS and high throughput next-generation sequencing data sets
    • You know how to implement bioinformatics workflows and pipeline development
    • Your have programming experience either in R or Python and working with HPC or Linux environment
    • Domain knowledge in genomics and/or proteomics is desirable
    • You enjoy collaborating in international and cross-functional team
    • You have excellent communication skills and a high customer orientation

    LOCATION

    Aachen, Germany or Remote Work

    HOW TO APPLY

    You were mentally checking boxes on our requirements? Great!

    Please e-mail your application and résumé to career[at]osthus.com. Make sure to include the following:
    • When you would like to start at OSTHUS
    • How much you would like to earn with us your salary expectations
    • What attracts you to this job with us
    • Finally, refer to "Consultant - Life Science Informatics / Bioinformatics (m/f/x)" in the subject line
    This way, we can get a good picture of how well we fit together. You can address your application to our colleague Frauke Nonne.

    Thank you for your time and your interest!

    We look forward to hearing from you!

    DESCRIPTION

    Development and Scientific roles are available for an exciting program supporting the CDC.

    REQUIREMENTS

    Masters or PhD candidates with Bioinformatics training/experience

    PREFERENCES

    Preference to local candidates, remote opportunity is a possibility

    TERMS

    Full time

    COMPENSATION

    Commensurate with experience

    LOCATION

    Atlanta, GA

    HOW TO APPLY

    Apply online: https://careers.leidos.com/search/jobs?q=hhscdc

    DEADLINE

    May 31, 2022

    POLICY

    Ability to obtain Public Trust

    BACKGROUND

    Look for more than answers.

    At Quest, we are on a continuous journey of discovery and development. It's this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people.

    As a Senior Bioinformatics Research Scientist – Computational Biology/Data Science, remote, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge.

    The Senior Bioinformatics Research Scientist will work 100% remote and can be located anywhere in the US.

    RESPONSIBILITIES

    Senior Bioinformatics Research Scientist – Computational Biology/Data Science, remote, the role:
    The Senior Bioinformatics Research Scientist will work as a Computational Biologist/Data Scientist focusing on clinical methods development for NGS data, including analytical workflows, comparative analyses, and development of QC methods and results. Successful candidate will design and conduct data analyses and research on next-generation sequencing (NGS) data as a core team member collaborating with R&D bench scientists and software engineers during the clinical product development process, using cloud compute resources. Duties include providing technical/scientific leadership in design and development of new approaches to complex problems to meet project or organizational initiatives, mentoring other scientists and project team members to accomplish project objectives, and preparing reports, scientific publications, and/or conference presentations of results.

    REQUIREMENTS

    To qualify, the ideal candidate will have the following skills and experience:
    • PhD with 1+ year experience, or MS with 3+ years experience, or BS with 5+ years experience in an industrial or academic setting working with clinical and biological data and underlying technologies including bioinformatics methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools.
    • At least 3 years of experience working in a regulated industrial life sciences environment.
    • Significant relevant publication or patent record, and/or at least 2 years of relevant research and/or development experience

    HOW TO APPLY

    Apply Today: https://questdiagnostics.csod.com/ux/ats/careersite/4/home/requisition/94873?c=questdiagnostics&source=bioinformaticsorg

    Join us for competitive benefits and development opportunities in a progressive and supportive environment. Help us improve our service, and the experiences of our patients and colleagues. Work with us and together we can be better.

    Your Quest career. Seek it out.

    POLICY

    ‚ÄčAll requirements are subject to possible modifications to reasonably accommodate individuals with disabilities. Quest Diagnostics is an Equal Opportunity Employer: Women / Minorities / Veterans / Disabled / Sexual Orientation / Gender Identity or Citizenship.

    BACKGROUND

    Look for more than answers.

    At Quest, we are on a continuous journey of discovery and development. It's this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people.

    As a Bioinformatics Scientist – Computational Biology/Clinical NGS Development, remote, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge.

    The Bioinformatics Scientist – Computational Biology/Clinical NGS Development will work 100% remote and can be located anywhere in the US.

    RESPONSIBILITIES

    Bioinformatics Scientist – Computational Biology/Clinical NGS Development, remote, the role:
    Bioinformatics Scientist focusing on next-generation sequencing technologies, with experience designing/developing/executing NGS workflows. Successful candidate will develop the bioinformatics components during the early phase of development of NGS products/assays, including designing and developing core methods and workflows for analyzing data from sequencers, and collaborating with bench scientists on data analyses and research aimed at feasibility analyses or product development. Duties would also include developing and executing computational approaches to analyze bioinformatics problems and datasets, and serving as SME for analytical methods design/development on product development teams, as well as preparing reports, and scientific publications, conference presentations, and other communications of results.

    REQUIREMENTS

    To qualify, the ideal candidate will have the following skills and experience:
    • PhD, or MS with 2+ years relevant experience, or BS with 4+ years relevant experience in an industrial or academic setting working with genetics data and underlying technologies.
    • Record of core contributions to relevant projects and/or relevant research and development experience.

    HOW TO APPLY

    Apply Today: https://questdiagnostics.csod.com/ux/ats/careersite/4/home/requisition/94875?c=questdiagnostics&source=bioinformaticsorg

    Join us for competitive benefits and development opportunities in a progressive and supportive environment. Help us improve our service, and the experiences of our patients and colleagues. Work with us and together we can be better.

    Your Quest career. Seek it out.

    POLICY

    All requirements are subject to possible modifications to reasonably accommodate individuals with disabilities. Quest Diagnostics is an Equal Opportunity Employer: Women / Minorities / Veterans / Disabled / Sexual Orientation / Gender Identity or Citizenship.

    BACKGROUND

    The University of Iowa, College of Dentistry, Division of Biostatistics and Computational Biology in the Iowa Institute for Oral Health Research invites candidates for a postdoctoral research scholar position. The Division of Biostatistics and Computational Biology offers multidisciplinary work environment and a highly collaborative culture. The research projects include developing computational pipelines/algorithms for microbiome omics data integration and analysis. We develop and apply bioinformatics approaches to forge quantitative links between genetic, taxonomic, and functional aspects of microbial diversity and activities. Other research opportunities include bioinformatics development for oral cancer omics data integration and analysis to discover cancer genetic susceptibility. We develop and apply computational systems biology approaches to investigate the landscapes of genetic content in human oral cancer to identify molecular biomarkers for oral squamous cell carcinoma by mining and integrating patterns discovered from combined large data of bulk RNA-seq, single-cell RNA-seq, and epigenomics data. Other projects include biological ontology mining and network analysis for genotype-phenotype associations and electronic health record data mining on integrated dental patient data and general hospital data to improve decision making and personalized treatment, etc. The successful applicant will be under the supervision of Dr. Erliang Zeng, Associate Professor whose research is primarily in bioinformatics and data science, and Dr. Xian Jin Xie, Division Director and the Association Dean for Research for the College of Dentistry, whose research is primarily in biostatistics and bioinformatics. Both Drs. Xie and Zeng are affiliated faculty in the Department of Biostatistics of College of Public Health and the multidisciplinary Informatics Program.

    RESPONSIBILITIES

    Duties will include:
    • Data analysis and interpretation
    • Presentation at professional meetings
    • Manuscript preparation
    • Grant writing

    REQUIREMENTS

    Education Requirement:
    • PhD in computer science, bioinformatics, data science, biostatistics, or related field.
    Required qualifications:
    • Research experience in areas of bioinformatics, omics data mining, computational systems biology, biological big data mining, or comparative genomics.
    • Extensive programming skills for biological big data mining using machine learning and AI approaches.
    • Prior experience with large next generation sequencing (NGS) omics data in one or more of the following: bulk RNA-seq, single-cell RNA-seq, ATAC-seq, CHIP-seq, and Methylation-seq.
    • Strong verbal and written communication skills.
    • Self-motivation skills with the ability to work independently and in a group environment.

    HOW TO APPLY

    For more information or to apply, please go to: https://jobs.uiowa.edu/postdoc/view/3772

    POLICY

    The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, national origin, age, sex, pregnancy, sexual orientation, gender identity, genetic information, religion, associational preference, status as a qualified individual with a disability, or status as a protected veteran.

    DESCRIPTION:
    The Molecular Foundry (https://foundry.lbl.gov) at Lawrence Berkeley National Lab's (LBNL, https://www.lbl.gov) has an opening for a Staff Scientist in the Nanofabrication Facility (https://foundry.lbl.gov/about/facilities/nanofabrication/). We are broadly searching for candidates at every level of experience ranging from early-career (career track) to senior (Facility director) through this single hiring process. This is an opportunity to join a vibrant research community dedicated to doing excellent science in a supportive, inclusive environment.

    The Molecular Foundry at Lawrence Berkeley National Lab's (LBNL) is a national user center for nanoscale science – one of five Department of Energy Nanoscale Science Research Centers. A multidisciplinary research center at the forefront of nanoscale science, the Molecular Foundry is a knowledge-based user facility that provides state-of-the-art expertise and instrumentation to a diverse, international community, drawing users from academia, national labs and industry. Here, you will be able to establish a leading research program taking advantage of our collaborative, interdisciplinary center.

    What You Will Do:
    • Design and lead a robust individual research program related to the Molecular Foundry's research themes (for details: https://foundry.lbl.gov/about/research-themes/), complementing current capabilities and expertise in the Nanofabrication Facility. Research areas of interest include, but are not limited to: 3D nanofabrication, integrated directed self-assembly, advanced pattern transfer, scanning probe lithography, and new patternable materials. Applications of interest include, but are not limited to: optoelectronics, next generation resist development, nanoelectronics, quantum computing, quantum materials, quantum sensing, energy harvesting and storage, and bio-inspired fabrication.
    • Develop a thriving multidisciplinary user program, drawing from industry, academia, and national labs, through the development of unique expertise and capabilities.
    • Collaborate with other Foundry scientific staff members to provide scientific support for users and create and participate in collaborative research efforts beyond the single laboratory effort.
    • Prepare scientific data for publication in refereed journals; and present findings at seminars and conferences.
    • Provide users with support through your own efforts, hands-on and with your expert knowledge, in the area of nanofabrication.
    • Supervise, mentor, and coach scientific and technical staff as appropriate.
    • Provide technical direction to graduate students, postdocs, and research associates as appropriate, and assist in the management of research projects.
    • Maintain a safe working environment and demonstrate respect for environmental protection, health and safety, and help instill those aspects in all staff and users of the Nanofabrication Facility.
    • Maintain and develop a diverse and inclusive working environment using and building upon existing programs within the Molecular Foundry and Berkeley Lab.
    • Share in user-related operations, maintenance/administration, and development responsibilities within the Nanofabrication Facility.
    Possibility of Senior Role (Nanofabrication Facility Director):
    This position may include opportunity for leadership and operational oversight duties of the facility and staff contingent upon the level of relative skills, knowledge, and experience of the candidate. In your cover letter please express interest in consideration for the facility director role. The leadership responsibilities of the "Facility Director" will be in addition to that of the Staff Scientist described above and include:

    Responsibilities for the overall leadership and operations of the facility, including: long-term development of the user program, developing and maintaining unique capabilities, budgeting, arranging for space, hiring and developing staff, supervising direct reports (including scientific and technical staff), setting expectations and conducting performance appraisals, coordinating with other Facility Directors and the Foundry directorate on behalf of the Facility, coordinating the Facility's user program, and all other regular duties of the Facility Director. The Facility Director will be empowered to make managerial and operational decisions on behalf of the Nanofabrication Facility, and is expected to develop and maintain an internationally recognized research program.

    Responsibilities of Senior Role:
    • Articulate and implement a vision to guide the scientific direction, structure, organization, management and operation of internal research and user-support activities of the Nanofabrication Facility at the Molecular Foundry.
    • Ensure that sufficient resources are available to support a strong user program and the internal research mission.
    • Attract, retain and supervise high caliber talent and provide leadership to foster staff career growth, development and advancement.
    • Develop and maintain EHS policies and procedures and ensure proper training for the staff and users.
    • Responsible for scheduling and assignment of user projects among the staff, as well as guiding proposal reviews in determining feasibility and quality.
    • Responsible for communicating, maintaining and overseeing operational objectives, policies, procedures, plans, evaluation criteria and programs that are in concert with the Molecular Foundry mission and the institutional goals of the Laboratory.
    • Develop annual budgets and spending plans for the facility. Prepare written reports as well as oral presentations to DOE and Laboratory management.
    REQUIREMENTS:
    What is Required:
    • Ph.D. in relevant discipline or equivalent work experience in any of or a combination of these disciplines.
    • At least 5 years of professional research experience and an established track record working in nanoscience at academic, industrial or other research institutions.
    • Excellent oral and written communications skills, open-mindedness, and the desire and ability to collaborate with multiple research groups across disciplines.
    • Productivity in areas related to nanoscale materials research, demonstrated by (for example) publications, talks at national and international meetings, and patents.
    • Demonstrated ability to carry out independent research in a diverse, collaborative environment.
    • Knowledge and experience of safety practices and safety culture in a lab setting.
    Desired Qualifications:
    • Ph.D. in physics, chemistry, materials science and engineering, or another discipline relevant to nanofabrication, nanotechnology and nanoscience.
    • Extensive experience performing and leading research, and an established track record working in nanoscience at academic, industrial or other research institutions.
    • Productivity in areas related to nanoscale materials research, demonstrated by (for example) high impact publications, invited talks at national and international meetings, and patents.
    • Excellent analytical and interpersonal skills; ability to work collaboratively with others towards broader shared goals, using clear judgment.
    • Proven ability to communicate effectively and articulate a compelling scientific vision across all stakeholder groups.
    • At least 5 years of relevant professional experience managing the scientific, managerial and operational components of a complex, internationally recognized scientific enterprise.
    TERMS & COMPENSATION:
    • This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate. Employee will be placed at the appropriate career-track (.3) or career (.4) level commensurate with their experience.
    • The career-track position is a full time (5 year) term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
    • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
    LOCATION:
    Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

    HOW TO APPLY:
    Apply directly online at http://50.73.55.13/counter.php?id=227752 and follow the on-line instructions to complete the application process.

    Required Application Materials:
    • Curriculum Vitae
    • Statement of research experience and interests (3 page limit)
    • Statement of User Support – Statement addressing past and/or potential contributions to the institutional mission of the Molecular Foundry as U.S. Department of Energy User Facilities (1 page limit)
    POLICY:
    Based on University of California Policy – SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov) for more information.

    Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

    Equal Opportunity and IDEA Information Links:
    Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.

    BACKGROUND

    The Barthel Laboratory is a cancer genomics lab focused on utilizing state-of-the-art genomic approaches to study the development and evolution of glial brain tumors (gliomas). The lab has a particular interest in the fundamental role of telomere dysfunction in glioma development, but is generally interested in all aspects of tumor evolution including but not limited to longitudinal studies of therapy response assessed by genomic analyses of tissue samples and liquid biopsies. The lab has received both government (eg. National Institutes of Health) and philanthropic funding for several translational and basic science research projects in this domain. We are looking for a talented, passionate and highly motivated individual to enrich our team to lead the computational efforts in our group.

    RESPONSIBILITIES

    Position Summary:
    The Computational Scientist will work on multiple projects analyzing biomedical data by applying existing tools, informatics resources, and developing new software and tools. They will be responsible for automating, optimizing and customizing existing bioinformatics workflows; implementing novel analytical approaches and developing professional-grade reusable software resources for medium-to-large scale research projects. They will be involved in all aspects of data analysis and interpretation and provide mentorship to trainees looking to acquire dry-lab skills. They will collaborate with bench scientists to validate computational findings using molecular biology approaches to develop in vitro models to test new hypotheses.

    REQUIREMENTS

    Education and Preferred Qualifications:
    Master's Degree and/or PhD in Bioinformatics, Computer Science, Bioengineering, Computational Biology or related field and 2+ years of experience in an applied research environment in biomedical data analysis
    • Comfortable navigating Linux/UNIX based operating systems (eg. CentOS, Red Hat) and building shell scripts for data processing
    • Confident operating high-performance cluster systems via schedulers such as SLURM or Torque/PBS
    • Experience with scientific computing and data visualization tools such as R, Python or MATLAB and a good understanding of relevant statistics
    • Exposure to biological software development in one or more programming languages, such as Python, C++, Java or related languages
    • Experience building workflows using custom scripts and/or workflow management tools (eg. Nextflow, Snakemake, Common Workflow Language)
    • Good coding practices utilizing versioning (eg. Git, Subversion) and writing detailed documentation
    • Experience in biological data analysis and interpretation such as sequence alignment, data quality control, gene expression analysis, variant calling, phylogenetics
    • Familiarity with various biomedical databases such as UCSC Genome Browser, Ensembl, TCGA/ICGC, GTex and other databases

    LOCATION

    We are located at the Translational Genomics Institute (TGen), a non-profit research institute located in Phoenix, Arizona that is set to the backdrop of the stunning Sonoran Desert. Phoenix is the 5th largest city in the nation, the fastest growing for 5 years in a row and ranked 5th in the Nation as an Emerging Life Science Market. Phoenix's unprecedented growth in the life sciences is fueled by over $3.25 billion in capital investment which has led to over 5 million square feet of new bioscience healthcare facilities constructed since 2019. At the heart of this growth is a 30-acre urban life sciences center - the Phoenix Biomedical Campus (PBC), at which TGen sits at the center.

    Phoenix additionally boasts an incredibly comfortable lifestyle averaging over 300 sunny days a year, multiple mountain ranges in near proximity and some of the most magnificent national and state parks in the nation within driving range. The airport is ranked as one of the best in the country in terms of passenger satisfaction owing to fast moving lines at security checkpoints, and moreover is a mere 10-minute drive from TGen, making traveling to anywhere in the world a breeze.

    HOW TO APPLY

    Please direct all questions to barthel AT barthel-lab.com. Attach a letter describing your research interests and motivation to join our group. Include an academic CV detailing your past research experience, publication track record and (conference) presentations. We will start reviewing applications immediately and until the position is filled. For additional information, please see http://www.barthel-lab.com

    Apply Here: https://www.click2apply.net/ozNdkAUdoLWE7TNg2Tln2V

    DEADLINE

    5/25/22

    PI174756325

    DESCRIPTION

    Dr. Nicholas Schork, Director of Quantitative Medicine at TGen, seeks a creative, independent, and highly motivated researcher interested in developing and applying novel and comprehensive quantitative methods for understanding and characterizing the genetic and molecular determinants of human longevity and longevity enhancement, through cross-species comparative genomes. Dr. Schork is one of the two principal investigators (PIs) for the NIA-funded longevity consortium, whose goal is to characterize the genetic basis of human longevity, and a co-PI on another NIA-funded consortium grant to identify genetic targets for longevity-enhancing interventions. Dr. Schork is also a PI for the Animal Cancer Foundation-funded canine cancer genomics consortium, with a goal to characterize the parallels of cancer mutations in canine and humans, and to improve therapeutic options for human and pet patients. The methods, analyses, and tools to be developed will leverage these connections, but go beyond them, in developing bioinformatic and biostatistical analysis methods to identify genetic longevity-enhancing intervention and cancer-associated targets, and designing studies to test their effects.

    Brief Professional Activities Description:
    The Bioinformatic Engineer will have the opportunity to perform cross-species comparative analysis of longevity-associated vertebrate genomes, identify evolutionarily conserved sequence features, and investigate germline/somatic mutation drivers for canine-human comparative oncology analysis. TGen provides a very collaborative environment that includes basic scientists, computational and quantitative scientists, biomedical technology developers and clinicians, including those at TGen's affiliated institution, the City of Hope National Medical Center in East Los Angeles, as well as its many other partner institutions.

    There is tremendous interest in the identification of factors that affect human longevity and potential interventions that enhance human longevity. Unfortunately, human longevity is a complex, multifactorial phenotype with a number of interacting genetic and non-genetic determinants. Characterizing the factors influencing longevity will be difficult since the effect of any one factor can be obscured by the effects of others. As a result, more sophisticated and integrated approaches are needed. This is true for both the identification and characterization of longevity-enhancing factors and testing longevity-enhancing interventions that target these factors. A research challenge will be to develop reliable techniques for mining data relevant to genetically-mediated factors (for example, from genome-wide association studies focusing on longevity) and cross-species studies to identify better longevity-enhancing intervention targets, as well as methods to test interventions that exploit those targets. In this context, the proposed activity and research will involve:
    • Performing cross-species comparative analysis of vertebrate genomes including human, canine, and other species
    • Identifying evolutionarily conserved genes/proteins, functional elements, non-coding sequences, through orthology, synteny, and pangenome approaches
    • Identifying germline and somatic mutation drivers, coding and non-coding, and mutation signatures in canine cancers
    • Performing canine-human comparative oncology analysis and identifying therapeutic targets
    • Presenting findings on cross-species comparative genomics and canine cancer at major conferences and in peer-reviewed publications
    TGen has access to resources (such as one of the largest and fastest computing systems in the world, a large phase I clinical trial center, genomic and other omic assay-oriented labs) that can be leveraged in the proposed research. In addition, the development of the proposed strategies and methods will likely have a broad, international impact, given the amount of attention human longevity research is receiving, so the research to be pursued will be highly visible and competitive, and as a result could propel the career of an independently-minded researcher looking to make an indelible impact on a biomedical science and humanity in general.

    REQUIREMENTS

    • M.Sc. in Bioinformatics, Computer Science, Systems Biology, Computational or Quantitative Biology, Biostatistics, Statistics, Applied Mathematics, or a related field
    • Computer programming, R and other statistical analysis packages, and scripting languages skills
    • Demonstrated 5+ years of experience in genomics and NGS long/short read sequencing technologies
    • Experience with large biological data sets
    • Excellent written and verbal communication skills, willingness to work in collaborative settings

    HOW TO APPLY

    If you are interested in seeing the most up to date job listings or to apply for this position, please go to https://www.tgen.org/careers-tgen/ and submit your resume. Please take a moment to read about our employee benefits and learn more about TGen. If you have any questions about the company or how to apply for a position, please contact hr[at]tgen.org.

    Only resumes submitted through the TGen career website will be considered.

    Apply Here: https://www.click2apply.net/JBZgeJCQoXy7QsZaRsXyEd

    ABOUT US

    Translational Genomics Research Institute (TGen) is a Phoenix, Arizona-based non-profit organization dedicated to conducting groundbreaking research with life changing results. TGen is focused on helping patients with neurological disorders, cancer, and diabetes, through cutting edge translational research (the process of rapidly moving research towards patient benefit). TGen physicians and scientists work to unravel the genetic components of both common and rare complex diseases in adults and children. Working with collaborators in the scientific and medical communities literally worldwide, TGen makes a substantial contribution to help our patients through efficiency and effectiveness of the translational process. TGen is allied with City of Hope, a world-renowned independent research and cancer and diabetes treatment center. This precision medicine alliance enables both institutes to complement each other in research and patient care, with City of Hope providing a significant clinical setting to advance scientific discoveries made by TGen.

    POLICY

    We value and support diversity in our workforce.

    EEO/AA

    PI174755901
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