Bioinformatics.org
[OMICtools]
[Repositive.io]
Not logged in
  • Log in
  • Bioinformatics.org
    Membership (40393+) Group hosting [?] Wiki
    Franklin Award
    Sponsorships

    Careers
    About bioinformatics
    Bioinformatics training
    Bioinformatics jobs

    Research
    All information groups
    Online databases Online analysis tools Online education tools More tools

    Development
    All software groups
    FTP repository
    SVN & CVS repositories [?]
    Mailing lists

    Forums
    News & Commentary
  • Submit
  • Archives
  • Subscribe

  • Jobs Forum
    (Career Center)
  • Submit
  • Archives
  • Subscribe
  • Career Center - News

    Latest announcements
    Submit Archive Subscribe

    Submitter

    BACKGROUND

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants.

    RESPONSIBILITIES

    We are excited to advertise this position for a Senior Rare Disease Analyst as a 12-month fixed contract with the likelihood of extension. This senior role is part of a talented and motivated Bioinformatics team and it will be responsible for applying computational and statistical methods to analyse large datasets using:
    • Whole exome/genome sequencing
    • Association testing
    • Rare variant association analysis
    • Burden testing
    • Benchmarking genome analysis pipelines

    REQUIREMENTS

    Experience Required:
    • Post doctorate with at least 2-3 years' experience of working in this field
    • Deep knowledge of association testing
    • Good knowledge of genomics and rare diseases
    • A demonstrable ability to cope under pressure and deliver to deadlines
    • Ability to communicate effectively within a multidisciplinary team
    • Flexible and co-operative approach to colleagues
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands
    • Excellent technical writing skills

    COMPENSATION

    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.

    ABOUT US

    Genomics England works at the cutting edge of science, technology and healthcare. Our mission is to deliver the ground-breaking 100,000 Genomes Project −- the biggest national genome sequencing project of its kind anywhere in the world. As it moves beyond the 100,000 Genomes Project, Genomics England will work with NHSE to launch the world's first Genomic Medicine Service within a national healthcare system. In partnership with government, the NHS, academia, industry and the public, Genomics England aims to realise the potential of genomic medicine: to embed state-of-the-art care in the NHS; bring health benefits to UK citizens; and consolidate the UK's position as the 'go to' destination for international genomic research and investment.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Rare, Disease, Analyst, WGS, WES, Genomics, Bioinformatics, Pipelines, Statistics, Testing, Writing, Variants, NGS, London, Fixed-Term.

    BACKGROUND

    About TGen:
    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. For more information, visit: www.tgen.org.

    Dr. Nicholas Schork, Director of Quantitative Medicine at TGen, seeks a creative, independent, and highly motivated researcher interested in computational and general quantitative aspects of health and clinical learning systems (i.e., systems that can be used to make predictions about intervention strategies for individual patients based on large clinical and outcome data sets). Clinical learning systems have the potential to radically transform the way health care is delivered and monitored and have their root in large-scale electronic medical record systems, artificial intelligence and machine learning techniques and clinical decision support strategies.

    RESPONSIBILITIES

    The post-doctoral fellow will have the opportunity to develop and evaluate health learning systems in a collaborative environment that includes basic scientists, computational and quantitative scientists, informaticians and clinicians, including those at TGen's affiliated institution, the City of Hope Hospital in East Los Angeles, as well as its many other partner institutions.

    Learning systems in health care contexts take advantage of large amounts of data on patients (e.g., from Electronic Medical Records (EMRs)) to build predictive models that can be applied to future patients to determine sensible, if not optimal, courses of action based on their characteristics (e.g., genetic profile, past medical history, etc.). Such systems can be updated in real time given the continual patient accrual in clinical care settings. The design and implementation of such systems is receiving greater and greater attention, but present a number of challenges. For example, how can one harmonize relevant data in real time? What statistical analysis techniques should be used to develop the predictive models (e.g., deep learning)? How can such systems be coordinated across clinical entities to leverage even more data? The research questions and activities to be pursued in these contexts include:
    • Modeling and simulating the behavior of real-time clinical learning systems
    • Developing reliable, beyond state-of-the-field data-based analytic methods for guiding clinical decisions
    • Comparing different machine learning and statistical predictive analytic methods for their flexibility, robustness and reliability on simulated and real data
    • Developing strategies to integrate a wide variety of data types (e.g., genomics, imaging, wireless devices, etc.)
    • Beta-testing the implementation of novel systems with potential industry and academic partners
    • Helping oversee the implementation of systems and consulting on any issues that arise
    • Present findings on learning systems at major conferences and in peer-reviewed publications
    TGen has access to some of the largest and fastest computing systems in the world that can be leveraged in the proposed research. In addition, the development of health learning systems will likely have a broad, international impact, 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 impact others on a large scale.

    REQUIREMENTS

    • Ph.D. (completed or near completion) in Computer Science, Operations Research, Informatics, Statistics/Biostatistics, Mathematics or a related field.
    • Exceptional computer programming skills
    • Familiarity with state-of-the-field machine learning and statistical analysis techniques
    • Experience with large, heterogeneous data sets
    • Excellent written and verbal communication skills
    • Willingness to work in clinical decision-making settings
    • Willingness to travel when necessary to collaborating sites
    • No publication record is required, but a publication track record is preferred

    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 www.tgen.org/care[...]9e6Uk and submit your resume for IRC13069. 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.

    BACKGROUND

    About TGen:
    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. For more information, visit: www.tgen.org.

    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 annotation methods for genes and genetic variants in a wide variety of contexts, in particular disease diagnosis, therapeutic choice and cross-species (orthology) disease model analyses. The methods to be developed will consider modeling the influence of genetic variants on gene function and the functional effects of genes that can be reconciled across species.

    RESPONSIBILITIES

    The post-doctoral fellow will have the opportunity to develop and evaluate computationally-based gene and genetic variant functional models in a collaborative environment that includes basic scientists, computational and quantitative scientists, biomedical technology developers, evolutionary biologists and clinicians, including those at TGen's affiliated institution, the City of Hope Hospital in East Los Angeles, as well as its many other partner institutions.

    Variant functional annotation and orthology assessment methods are being developed rapidly. In addition, databases harboring information about the likely influence of genes and genetic variants in pathway and network contexts exist and continually being refined (e.g., the GTEX databases). Finally, large-scale functional studies using emerging model systems and in vitro assays such as CRISPR screens are being pursued to generate information that needs to be mined and reconciled. The challenge will be to integrate all of this into more comprehensive models of gene function and leverage them to make claims about the health status of individuals, the likely benefits of specific gene-targeting therapeutics, and the utility of specific model systems to understand disease pathogenesis. In this context, the proposed activity and research will involve:
    • Modeling and the influence of genetic variants on gene expression, protein structure and function, splicing, and other molecular physiologic processes
    • Considering the combined influence of multiple genetic variants on gene function
    • Developing models that consider compensatory and feedback mechanisms in networks and biological processes
    • Developing methods that leverage sequence orthology and homology across different species to assess function
    • Contributing to the development of software and webtools that implement the models to be developed
    • Participating in the implementation and evaluation of the application of the models to be developed
    • Present the models at major conferences and in peer-reviewed publications
    TGen has access to some of the largest and fastest computing systems in the world that can be leveraged in the proposed research. In addition, the development of the proposed models will likely have a broad, international impact, given the amount of attention genetics and genomics 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.

    REQUIREMENTS

    • Ph.D. (completed or near completion) in Bioinformatics, Systems Biology, Computational or Quantitative Biology, Biostatistics, Comparative Biology, or a related field.
    • Computer programming, R, scripting languages, and biological database query skills
    • Familiarity with genomics and comparative biology
    • Experience with large biological data sets
    • Excellent written and verbal communication skills
    • Willingness to work in collaborative settings
    • No publication record is required, but a publication track record is preferred

    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 www.tgen.org/care[...]9e6Uk and submit your resume to IRC13068. 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.

    RESPONSIBILITIES

    Mission:
    Fournir l'expertise en analyse et traitement de données et garantir la qualité des analyses statistiques. Les analyses concernent principalement les données générées à haut débit au sein de l'Unité Technologique Génomique et Transcriptomique, avec des objectifs multiples (ex: recherche de signatures, recherche de biomarqueurs, analyse de réseau de régulation, analyse métagénomique, etc) en intégrant si nécessaire des données biologiques/cliniques multiples (ex : analyse de survie, longitudinale, analyse multi-omiques).

    L'ensemble des activités permettant le bon fonctionnement de l'Unité sont réalisées en interaction forte avec les autres membres de l'équipe – ingénieur(s), technicien(s) en biologie moléculaire et bioinformaticien(s).

    Principales Activités:
    • Conseiller/définir des designs expérimentaux adaptés dans le cadre des projets de recherche BIOASTER
    • Choisir/développer et mettre en place les méthodes mathématiques, statistiques et bioinformatiques nécessaires à l'analyse des données biologiques (séquençage nouvelle génération, puce à ADN, qPCR, ...)
    • Choisir/développer et mettre en place des méthodes de prédiction de biomarqueurs (prédictifs, diagnostiques, pronostiques, de réponse au traitement) à partir de données biologiques issues de données mono ou multiomiques
    • Assurer un rôle d'expert en statistique au sein de la communauté scientifique (BIOASTER et ses partenaires) : communication, formation, support aux projets de recherche, rédaction de rapports /articles scientifiques
    • Participer pleinement aux projets collaboratifs en développant des interactions avec les partenaires projets chaque fois que nécessaire.

    REQUIREMENTS

    Compétences :
    • Niveau ≥ Bac+5, titulaire d'un doctorat, d'un diplôme d'ingénieur ou d'un Master en statistique, biostatistique ou mathématiques appliqués, avec 2-3 ans d'expérience dans une fonction similaire en milieu industriel ou PME ou académique
    • Excellentes connaissances théoriques et appliquées dans les domaines de l'analyse et le traitement de données, de la modélisation statistique, de la méta-analyse, de l'apprentissage automatique et du data mining
    • Maitrise des langages usuels de programmation (R, Python)
    • Connaissances en génomique/transcriptomique sont fortement appréciées
    • Capacité à communiquer avec d'autres disciplines,
    • Excellent niveau d'anglais.
    Aptitudes personnelles :
    • Motivation et engagement
    • Intérêt pour la veille et les développements technologiques
    • Rigueur, organisation et méthode
    • Capacité de travailler de façon autonome et en interaction avec différents types d'interlocuteurs
    • Aisance relationnelle
    • Capacités d'analyse et esprit de synthèse
    • Capacités d'argumentation et de conviction

    LOCALE

    Lyon, France

    HOW TO APPLY

    Please visit www.bioaster.org/en/j[...]02056

    DEADLINE

    October 2018

    DESCRIPTION

    The recently formed Program Center in Systems Immunology at BRI seeks to recruit outstanding applicants for a new faculty position. The appointment will be at the assistant or associate level, commensurate with experience, training, and achievement. Systems Immunology is one of four Program Centers at BRI, organized with the mission of using systems approaches to elucidate fundamental mechanisms, new biomarkers and therapeutic targets in immune diseases. We seek candidates who will use systems and/or computational approaches to study the functioning of the immune system in health and disease, with a particular emphasis on autoimmune diseases, allergy and/or cancer. Ideal candidates will combine genomic (RNA and/or DNA), multidimensional cytometry and functional measurements into multidimensional computational models of immune function that predict progression and/or response to therapy in immune disease settings. The BRI Systems Immunology Program Center offers state of the art computing, laboratory and animal facilities for research, as well as access to excellent Genomics Core and Bioinformatics groups.

    About BRI: BRI is an international leader in autoimmune disease research translating discoveries to real life applications. BRI is one of the few research institutes in the world devoted to finding causes and cures for immune system diseases that include type 1 diabetes, multiple sclerosis, rheumatoid arthritis, inflammatory bowel disease, allergies and asthma. BRI maintains an extensive biorepository with samples dating back decades in multiple disease categories, as well as a biorepository of people without autoimmune diseases for comparison purposes. Read more about BRI at www.benaroyaresearch.org.

    About the position: A key feature of this position is the exceptional collaborative opportunities it offers. BRI provides a highly interactive environment, linking individual investigators in basic and translational immunology with systems and computational expertise. Housed within BRI are two international clinical research networks providing additional opportunities for translational research: the Immune Tolerance Network (ITN,) a collaborative network for clinical research focused on the development of therapeutic approaches that lead to immune tolerance; and Type 1 Diabetes (T1D) TrialNet, an international network that conducts clinical studies in T1D. The Seattle area also offers a rich and historically collaborative academic environment, with multiple major Universities, Research Institutions, Hospitals, and Biotechnology/Pharma and Software companies located in close proximity.

    Requirements and responsibilities: The ideal candidate will be an early stage investigator holding a PhD and/or MD degree; having significant research experience in systems and/or computation biology; and subject matter familiarity with a biological field, ideally immunology. The successful candidate must have an exceptional track record in his/her chosen field, preferably using systems approaches to fundamental and/or translational problems in immunology. He/she should also have a track record or strong potential for obtaining research funding from national and international research agencies. The successful candidate will be expected to maintain an active research program, contribute to the research environment at BRI, collaborate closely with researchers working at BRI, and maintain a network of external collaborators in Seattle and internationally.

    HOW TO APPLY

    Contact information: Qualified candidates should send inquiries, or an application package comprising their curriculum vitae, a letter explaining their motivation, research interests and qualifications, and names of three references to SIRecruit[at]benaroyaresearch.org.

    POLICY

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.

    BACKGROUND

    A Postdoc position is available in the Diaz laboratory at UCSF. Our goal is the development of therapeutics for brain tumors. Our core competencies include bioinformatics and systems biology. We have an ongoing research effort to study local immunosuppression in brain tumors by profiling clinical specimen using single-cell technologies.

    RESPONSIBILITIES

    The postdoc will perform bioinformatics analyses of single-cell and bulk omics data. They will oversee our pipeline of sample processing, the design of experiments and analysis of data.

    REQUIREMENTS

    The minimum qualification is a PhD in the biomedical sciences, bioinformatics or a related discipline. An ideal candidate will have experience and interest in bioinformatics analysis, and in at least one of the following: bioinformatics methods development, single-cell data analysis, single-cell molecular assay development, high-throughput CRISPR screening, tumor biology or immunology.

    HOW TO APPLY

    Interested candidates should send an email to aaron.diaz[at]ucsf.edu, with the following:
    • CV
    • Cover letter, detailing programming experience, knowledge of mathematics and statistics, and bioinformatics or other data analysis experience. Please indicate your preferred start date.
    • Names and contacts of three references

    Submitter

    BACKGROUND

    One of the world's most prestigious pharmaceutical companies is expanding their drug discovery research facility in Oxford and seeking a Senior Data Scientist to develop and lead a growing Computational/Data Scientist team. In this position, you will be working on experimental, early phase discovery projects, which demands a passionate, highly creative and mathematical mind.

    RESPONSIBILITIES

    Senior Data Scientist responsibilities would be:
    • Use cutting-edge technologies such as single cell sequencing and CRISPR genome editing.
    • Use experimental training data to predict which targets need to experimentally tested.
    • Interact across departments with internal stakeholders from Bioinformatics, Discovery Biology, Pharmacology, etc.
    • Strengthen external collaborations with academic community.

    REQUIREMENTS

    Requirements of the position:
    • PhD or Post-Doc in Computational Biology, Mathematics, Physics, Machine Learning, Statistical Genomics or a related discipline
    • Advanced statistical ability, proficient developing machine learning techniques or statistical modeling
    • Experience working with RNA-seq, Single cell sequencing data or functional genomics
    • Leadership skills
    • Ability to meet deadlines and work in a fast-paced environment

    COMPENSATION

    This is a fantastic opportunity with a leading global pharmaceutical company that offers a flexible and collaborative work environment, where publishing is actively encouraged. Employees have access to cutting edge technology and have the freedom for creative intellectual independence.

    HOW TO APPLY

    For more information on this opportunity, send your CV to Emilie Francis at efrancis[at]pararecruit.com. For an informal chat, call Emilie on 0121 616 3477.

    Key words: Data Science, Computational Biology, Data Modelling, Drug Discovery, Genomics, Data Modeller, Computer Science, Oxford, London, Cambridge, Pharmaceuticals, Machine Learning, Artificial Intelligence, Systems Biology

    Submitter

    BACKGROUND

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants.

    RESPONSIBILITIES

    The post holder is responsible for the day to day running of bioinformatics pipelines within Genomics England.

    Your main responsibilities will involve:
    • Ensure the smooth operations of the pipelines and troubleshoot problems when they occur.
    • Liaise with the development teams to report any issues and design solutions.
    • Provide second line support to internal customers and the research community who are using Genomics England tools.

    REQUIREMENTS

    You must meet the following requirements:
    • Degree or equivalent experience in bioinformatics
    • Ample experience running of NGS analysis pipelines for large numbers of samples
    • Proficiency in Linux and basic command line skills
    • Experience using collaborative development tools such as Github, Confluence and JIRA
    • Familiar with the databases and resources available for variant interpretation
    • Confident using shell and python scripts
    • Comfortable using high performance computing clusters
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands
    • Ability to communicate effectively within a multidisciplinary team
    • Experience with customer delivery and liaison is an advantage
    • Flexible and co-operative approach to colleagues
    • Excellent attention to detail
    • Ability to work under pressure without compromising quality of work
    • Experience of working is an ISO accredited or clinical lab is an advantage

    COMPENSATION

    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.

    ABOUT US

    Genomics England works at the cutting edge of science, technology and healthcare. Our mission is to deliver the ground-breaking 100,000 Genomes Project − the biggest national genome sequencing project of its kind anywhere in the world. As it moves beyond the 100,000 Genomes Project, Genomics England will work with NHSE to launch the world's first Genomic Medicine Service within a national healthcare system. In partnership with government, the NHS, academia, industry and the public, Genomics England aims to realise the potential of genomic medicine: to embed state-of-the-art care in the NHS; bring health benefits to UK citizens; and consolidate the UK's position as the `go to' destination for international genomic research and investment.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Bioinformatics, Operations, Pipelines, Genomics, NGS, Analysis, Python, Shell, Github, HPC, Linux, Human Genetics, Clinical, London.

    BACKGROUND

    The Novo Nordisk Foundation Centers for Stem Cell Biology (DanStem) and Protein Research (CPR) at the University of Copenhagen are jointly seeking applications for a 2-year position of Bioinformatics Specialist.

    The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem) addresses basic research questions in stem cell and developmental biology and has activities focused on the translation of promising basic research results into new therapeutic strategies for cancer and chronic diseases. Learn more about DanStem at danstem.ku.dk.

    The Novo Nordisk Foundation Center for Protein Research (CPR) promotes basic and applied research on proteins of medical relevance. Spanning in silico biology, proteomics, biochemistry and cell biology, and the unifying research theme is the identification and functional exploration of proteins and protein pathways involved in disease. Learn more about CPR at www.cpr.ku.dk.

    About Us:
    Both DanStem and CPR are vibrant, internationally diverse and ambitious research centers housing modern laboratories with state-of- the-art facilities located in close proximity to one another at the Faculty of Health and Medical Sciences, University of Copenhagen. The setting is ideally suited for seamless collaboration and exchange of expertise, material and lively scientific communication. DanStem and CPR collaboratively operate three research platforms in imaging, flow cytometry and genomics. These platforms are staffed with experts who provide advanced training and tailored project planning and assistance. The Genomics Platform provides high-throughput sequencing services with personalized support, covering applications from classical genomics to single-cell transcriptomics and has generated a demand for bioinformatics support. Therefore, the Centers intend to develop a new informatics platform to full fill the need of bioinformatics and computational approaches to data analysis enhancing the scientific synergies between the two centers.

    We are now seeking a highly motivated and qualified bioinformatician with specialty in genomics to work within the Informatics Platform at DanStem and CPR.

    RESPONSIBILITIES

    The Bioinformatics Specialist will provide bioinformatics support, develop new pipelines, and organize practical training to assist DanStem and CPR researchers with analysis and interpretation of primarily genomics data. The bioinformatician will work within the newly developing Informatics Platform, as well as with the dedicated sequencing specialist to provide tailored service and support for multiple research projects of broad biomedical scope throughout the two research centers.

    This Bioinformatics Specialist is expected to:
    • Develop tailored bioinformatics approaches and provide advice and assistance to DanStem and CPR researchers in their analyses, focusing in particular on the planning, processing, analysis and publication of transcriptomic and epigenomic next-generation sequencing data.
    • Prepare pipelines and scripts for use by DanStem and CPR researchers.
    • Provide training and design new approaches to analysis.
    • Cooperate and collaborate with DanStem and CPR researchers.
    • Cooperate with platform personnel and contribute to platform management.
    • Network actively with the global bioinformatics community and stay up-to-date with current trends in the field.
    Similar to our other platform specialists, the Bioinformatics Specialist will sit at the nexus of the two centers. To ensure good support and guidance, the NGS Bioinformatics Specialist will work closely with the Big Data Management Platform at CPR, which handles data from other technology platforms, as well as among research groups that cover many systems-level aspects of biology and medicine, including the integration of molecular level and healthcare data.

    REQUIREMENTS

    Qualifications, competences and experience:
    Candidates are expected to have a Master's or PhD degree in bioinformatics, computational genomics or biology, computer science and data analysis, or a biological or natural sciences discipline, with at least four years of experience in bioinformatics for genomics. In addition, we are seeking a candidate with the following competences and experiences:
    • Fluent programming skills in R/Bioconductor
    • Experience with next generation sequencing data
    • Strong statistics skills
    • Knowledge of UNIX-like operating system
    • Experience in working with biologists and an understanding of molecular biology and genomics
    • Excellent oral and written communication skills and fluency in English
    • Successful experiences in project management, including multi-tasking
    • A service-minded and team player attitude

    TERMS & COMPENSATION

    We offer:
    • State-of-the-art computational infrastructure for data analysis, including access to cluster computing at the Danish National Supercomputer (Computerome) and excellent IT and systems administration support
    • Stimulating and multifaceted research environment of high scientific and societal impact
    • Possibility for continued education and training, especially to develop further as an expert in single cell bioinformatics
    With an initial duration until the end of 2020 with possibility of extension, employment can begin in November 2018 or upon agreement with the chosen candidate. The place of work is at DanStem, University of Copenhagen, Blegdamsvej 3B, Copenhagen. The position, with formal employment title of Senior consultant at the University of Copenhagen, will be in accordance with provisions of the collective agreement between the Danish Confederation of Professional Associations (AC/PROSA) and the Danish Ministry of Finance. To the salary is added a monthly contribution to a pension fund according to the collective agreement. A supplement could be negotiated, depending on the candidate's experiences and qualification.

    HOW TO APPLY

    Application procedure:
    Your online application must be submitted in English by clicking 'Apply now' below. Please note that only online applications will be accepted.

    The application must include a statement of motivation, curriculum vitae, and copies of relevant diplomas.

    APPLY NOW: employment.ku.dk/all-[...]47817

    Questions:
    Informal inquiries can be directed to Chief Operating Officer Gretchen Repasky. E-mail: gretchen.repasky[at]sund.ku.dk.

    DEADLINE

    September 2, 2018.

    Only applications received in time and consisting of the documents stated above will be considered.

    POLICY

    University of Copenhagen and The Centers highly value diversity and welcome applications from all qualified candidates, regardless of personal background and status.

    Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

    Submitter

    BACKGROUND

    100,000 Genomes Project – Bioinformatics team – Central London!

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants and work with the NHS to launch the world's first Genomic Medicine Service.

    A fantastic new opportunity has become available for a Bioinformatician to join their production/operations team to be responsible for the day-to-day running of pipelines. This opportunity would be perfect for someone with a degree in Bioinformatics (MSc or PhD) and several years' work experience in the industry (rare disease, cancer, pipeline delivery)

    RESPONSIBILITIES

    Your main responsibilities as a Bioinformatician will involve:
    • Ensuring the smooth operations of the pipelines and troubleshoot problems when they occur
    • Liaise with the development teams to report any issues and design solutions.
    • Provide second line support to internal customers and the research community who are using Genomics England tools.
    • Developing tools to aid operations and being responsible for the intake pipeline, checking incoming data

    REQUIREMENTS

    The ideal Bioinformatician should fulfill the following requirements:
    • Degree in Bioinformatics (ideally MSc/PhD plus several years' industry experience)
    • Strong experience running NGS analysis pipelines for large numbers of samples (cancer, rare diseases ideally)
    • Confident using Python and shell scripts and ideally HPC clusters
    • Familiar with databases and resources available for variant interpretation
    • Proficiency in Linux and using collaborative development tools such as Github, Confluence and JIRA

    COMPENSATION

    You'll be able to work in their brand new offices in Central London and in return you will receive competitive salary and have the opportunity to work within a successful company in a fantastic location.

    ABOUT US

    Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. This will be a fantastic opportunity for you to take part in the biggest national genome sequencing effort of its kind anywhere in the world, bringing health benefits to UK citizens. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

    HOW TO APPLY

    If you'd like to know more and are interested in applying, please contact Anna on alauterjung[at]pararecruit.com or +44 (0) 121 616 3469 with an up-to-date CV.

    Look forward to hearing from you!

    Keywords: Bioinformatician, Bioinformatics, NGS, Cancer, Rare Disease, Cancer, Linux, Unix, Python, shell, pipeline, Software, Coding, Git, Postgres, MongoDB, WGS, Whole genome sequencing, PhD, high performance computing, HPC, MSc, variant calling, Database, UK, London

    BACKGROUND

    We need an outstanding candidate excited about novel approaches for the metagenomics data analysis.

    Our group, together with MetaSUB (www.metasub.org) consortium partners, develops and standardize the analysis methods and approaches for metagenomics samples from subway and urban biomes in order to assess the biodiversity and to build a molecular portrait of cities. These have an important role in context of Antimicrobial Resistance (AMR) detection and monitoring but also in other applications like forensics.

    RESPONSIBILITIES

    You will be responsible for the development of novel approaches in the deep bioinformatics analysis of metagenomics data sets from MetaSUB related projects. You will be responsible for applying and adapting existing systems as well as developing novel components as needed.

    REQUIREMENTS & PREFERENCES

    • MSc in bioinformatics, computer science or (computational) biology, or any related field of life sciences
    • Strong expertise in programming in: R, PERL, python, C/C++; knowledge about Linux environment on the administrator and programmer level; knowledge about version control systems: svn, git
    • Experience in (bio)statistics as well as machine learning methods
    • Basic knowledge about molecular biology, especially metagenomics
    • A plus will be proof of eventual earlier scientific work.
    • Excellent written and oral communication skills in English (essential)
    • Abilities to work unsupervised and have good organization skills

    COMPENSATION

    Salary will be commensurate with experience.

    ABOUT US

    Bioinformatics Research Group at MCB, Jagiellonian University Krakow, Poland (www.mcb.uj.edu.pl/bioinformatyka):
    We are interested in pushing the state of the art in functional genomics, aiming to elucidate the role of the thousands of genes and gene products that are still not exhaustively characterized. A key source of information about the function of a gene is when, where, and how strongly it is being expressed. The most common studies are actually looking for differential expression: differences in expression between different samples or states. This is fortunate, as some of our recent work has shown that such comparative studies are much more robust to technical platform effects. Quantitative measurements are of course directly subject to bias and noise. When novel technologies emerge, the characterization of their measurement bias and noise, as well as the subsequent reduction of the effects of these becomes a critical prerequisite to meaningful reproducible results. With our collaborators we have made key contributions to the first systematic study of the power and limitations of RNA-seq within the US FDA MAQC-III/SEQC consortium. We continue this work, among others, in follow up SEQC2 project.

    Another area of our interest is to study the microbial ecosystems of built-up environments in order to build a molecular portrait of cities. To achieve this ambitious goal we collaborate with groups from all over the world within the MetaSUB International Consortium (www.metasub.org).

    HOW TO APPLY

    Full information about application procedure and detailed requirements can be found here: goo.gl/hnG6s4

    DEADLINE

    The application deadline is 15th of Aug 2018.

    BACKGROUND

    The University of Texas Health Science Center at Houston is located in the world renowned Texas Medical Center. Our research group is affiliated with the Medical School, the Graduate School of Biomedical Sciences, and the School of Health Information Sciences here at the UT Health Science Center. We are in close collaborations with biologists who are leaders in a variety of fields including neurobiology and cancer biology.

    RESPONSIBILITIES

    Applicants are invited to apply for postdoctoral positions in the Computational Systems Biology Lab led by Dr. Yin Liu at University of Texas Health Science Center-Houston. The research interests of this lab include but not limited to signal transduction pathway modeling, non-coding RNA analysis, and Bayesian inference of biological networks. In collaboration with experimental labs, the focus of the work will be developing and applying algorithms for next-generation sequencing data analysis and biological networks inference.

    REQUIREMENTS

    The ideal applicant would have a Ph.D. preferably in computational biology, bioinformatics, biostatistics or a related field. However, individuals with strong quantitative background (statistics, computer science, mathematics, engineering, etc.) are also encouraged to apply. Research experience in cellular network modeling, biological pathways analysis, statistical genetics or biological data mining is preferred. Candidates should have strong programming skills in R, PERL or C and be able to work effectively as a research team member.

    HOW TO APPLY

    Highly motivated and creative candidates are encouraged to apply by sending the CV including a list of publications and the names of three references to yin.liu[at]uth.tmc.edu.

    [Link to apply has been updated.]

    DESCRIPTION

    Heal the sick, advance the science, share the knowledge.

    You are invited to partner with the nation's best hospital (U.S. News & World Report 2017-2018), ranked #1 in more specialties than any other care provider. Practicing at Mayo Clinic provides a rewarding career that promotes excellence in patient-centered care. You can thrive in an environment that supports innovation and has a wealth of resources available to you – including an integrated EMR and collaboration with top specialists – to give your patients the quality of care you want to achieve.

    A Research Fellow opportunity is available in the Department of Neurology at Mayo Clinic, in Rochester, Minnesota. The candidate of choice will work on multi-modality analyses involving structural MRI, functional MRI, molecular PET imaging and histopathology in subjects with autopsy confirmed Alzheimer's disease in order to uncover novel biological relationships between imaging characteristics of Alzheimer's and the underlying brain pathologies.

    This position will require experience in machine learning or artificial intelligence. Some knowledge of neuroscience would be beneficial. The role will involve the development and application of unique tools that can be utilized to identify complex patterns or relationships in large datasets. Writing of manuscripts for publication, and presentation of results at national and international conferences are encouraged.

    Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere.

    A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator.

    Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants.

    Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.

    HOW TO APPLY

    Please visit www.ecentralmetrics.com/url/[...]7-215

    Please attach the following required documents at the time of application:
    • Current curriculum vitae and bibliography
      • Three letters of recommendation, signed, on letterhead, describing:
      • Relationship to the applicant.
      • Past work/academic performance.
      • Work qualities/personal conduct.
    • Overall assessment of potential for success in research environment.
    • Doctoral degree certification, if applicable:
      • Original or notarized copy of diploma or final transcript issued by school (English translation required).

    POLICY

    ©2018 Mayo Foundation for Medical Education and Research. Post offer/pre-employment drug screening is required. Mayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities).

    DUTIES & RESPONSIBILITIES

    Will join the core team of the Immgen consortium, a collaborative group whose goal is to elucidate gene expression and its regulation across the immune system. ImmGen is a public resource used by thousands of immunologists worldwide, through a set of interactive data visualization tools. These data browsers use innovative means to visualize complex data, following scientists' thought processes, and we are looking to creatively expand them to new paths to think about biological data. The Biology Software Developer will be responsible for further development and maintenance of these sci viz tools, and for managing the underlying data. Will work in close collaboration with biologists and computational specialists in ImmGen and in the rich environment of Harvard Medical School and collaborating institutions. Responsibilities include Research, scope, develop and optimize web-based visualization software to best present and complex biological data, including SQL, web-service, and user interface layers (including by not limited to Javascript and like web interface tools, with R, MatLab or SQL for underlying data and computation). Coordinate with HMS IT staff for the deployment of database and web servers, and access to high-performance computing as needed. We are looking for a full stack developer, who writes great software and has the experience and range to take full responsibility for projects, harness the available resources, and bring enthusiasm and creativity.

    REQUIREMENTS

    Basic Qualifications:
    • BS in computer sciences and at least 3 years of experience in web software development. Experience may be considered in place of the education requirement.
    Additional Qualifications:
    • Master's Degree preferred.

    COMPENSATION

    Harvard offers an outstanding benefits package including:
    • Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year
    • Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.
    • Retirement: University-funded retirement plan with full vesting after 3 years of service
    • Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools
    • Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.
    • Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complementary health services.
    • Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston

    HOW TO APPLY

    Please visit sjobs.brassring.com/TGne[...]_5341

    BACKGROUND

    The position of Research Assistant is immediately available in the laboratory of Dr. Jason Pitt, which integrates cutting-edge data science techniques with biological expertize to facilitate novel discoveries in cancer genomics. Along with close mentorship, you will work with teams of world-class oncologists, computer scientists, and cancer bioinformaticists. In addition to gaining expertise in cancer genomics, you will enhance your abilities with Amazon Web Services, Amazon's Alexa voice recognition technology, data-intensive computing, and artificial intelligence.

    RESPONSIBILITIES

    1) Develop software solutions that allow cancer researchers to perform science at scale.
    • Bioinformatics pipelines for cancer and non-cancer samples
    • Autonomic genome analysis workflows
    • Voice-activated genome interpretation assistant
    2) Coordinate the aggregation, processing, and analysis of large genomic datasets.
    3) Document code and contribute to scientific manuscript writing.

    REQUIREMENTS

    • Bachelors or Masters degree in bioinformatics, computer science, genetics, statistics, or related fields
    • Strong Python programming skills and proficiency with Unix-based systems
    • Basic understanding of statistical inference
    • Record of creative thinking and interdisciplinary problem-solving
    • Excellent written and spoken English

    PREFERENCES

    • Experience wrangling and analyzing high-throughput biological data, particularly DNA sequencing
    • Familiarity with high-performance and/or cloud computing
    • Working knowledge of databases (SQL, MySQL, noSQL, etc.)
    • Analytical experience with R

    HOW TO APPLY

    Applications should include full curriculum vitae, publication list, and 2-3 reference letters. Please also include single page cover letter summarizing your research experience, programmatic expertise, and why this position is of interest to you.

    Dr. Jason J. Pitt
    Special Fellow
    Email: jason.j.pitt[at]nus.edu.sg
    Submit Archive Subscribe

     

    Copyright © 2018 · Scilico, LLC