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    BACKGROUND

    The Genetics Diagnostic Laboratory is seeking a bioinformatician to manage, analyze and integrate large scale genome wide sequence data. As a team member, you will assist in analyzing and interpreting clinical and experimental data derived from high throughput genotyping and sequencing platforms, such as Illumina's next-generation sequencing (NGS) platforms. You will be responsible for developing and implementing pipelines to analyze NGS data, and to integrate the data and results with internal and external applications and databases. You will work closely with Associate Laboratory Heads in the Genetics Diagnostic Laboratory as well as other members of the Regional Genetics Program, the CHEO Research Institute and other key partners and collaborators.

    RESPONSIBILITIES

    1. Develop, optimize, validate and implement a computational pipeline that facilitates analysis, filtering and interpretation of DNA variants identified by NGS-based assays.
    • Conduct literature reviews and liaise with collaborative informatics groups to develop and implement a pipeline for analysis of next generation sequencing data, progressing from genome alignment to variant calling and annotation .
    • Develop and/or implement a system that facilitates variant visualization, filtering and analysis of DNA variants by laboratory and clinical geneticists, genomic specialists and laboratory genetic counsellors.
    • Keep abreast of new and emerging technologies and literature pertaining to NGS analysis, variant detection and variant interpretation
    • Provide advice to laboratory leadership and implement adaptive changes to the pipeline as needed to ensure continuous optimization of data processing and quality.
    2. Conduct bioinformatics analysis of NGS-based data to identify variants and provide genetic counsellors, genomic specialists and laboratory scientists with information necessary for downstream variant interpretation.
    • Process data through the established pipeline and provide data in an appropriate format to the genomic specialists, genetic counsellors, researchers and laboratory scientists.
    • Troubleshoot and resolve issues related to pipeline data processing.
    3. Establish and maintain a secure and effective server system set up that ensures effective utilization of established bioinformatics pipelines.
    • Identify hardware and software necessary to establish a server set up for data processing.
    • Collaborate with appropriate personnel within and outside of CHEO to establish appropriate server set up.
    • Continually reevaluate effectiveness and capacity of server system, propose and implement changes as required.
    4. Establish and maintain a data storage system that enables storage of NGS related data (e.g. VCF files, variant & coverage reports) in accordance with applicable clinical diagnostic laboratory requirements. Identify tools necessary to establish and maintain a long-term scalable solution for data storage.
    • Collaborate with appropriate personnel within and outside of CHEO to establish appropriate storage set up.
    • Design and/or implement secure storage systems for NGS patient data and identified variants. Continually reevaluate effectiveness and capacity of storage system, propose and implement changes as required.
    5. Information technology support
    • Troubleshoot and resolve issues related to software used to detect and interpret clinical significance of sequence and copy number variants (e.g. Mutation Surveyor, NextGene, Alamut, Gene Marker, Affymetrix GeneChip Command Console (AGCC) and Chromosome Analysis Suite (ChAS)).
    • Conduct horizon scan to determine future needs of the Regional Genetics Program with respect to software applications, hardware needs and data storage needs
    • Aid in the implementation and maintenance of the existing and future computer systems in the laboratory, including the creation of a software inventory.
    • Collaborate with CHEO's IS Department in the resolution of IT issues as required.
    6. Other
    • Participate in training CCMG Fellows, Royal College Fellows, Genetic Counselling Students and other trainees.
    • Use knowledge base and experience to guide, mentor and support trainees and new staff.
    • Attend and contribute to staff meetings.
    • Participate in ongoing professional development and continuous quality improvement opportunities and present internally (e.g. education rounds) and externally (e.g. conferences) on CHEO-based work.
    • Participate in grant applications and ongoing research projects.
    • Conform to all laboratory safety regulations (as per the Occupational Health and Safety Act, CHEO corporate and/or departmental policies), and follow specific instructions of the designated safety officer.
    • Behave in accordance with all relevant policies, procedures, protocols and guidelines (e.g. CHEO (IS) policy, IQMH requirements, ACMG guidelines for variant interpretation and relevant scientific literature).

    REQUIREMENTS

    • Criminal Record Check (Essential)
    • Minimum of a Masters Degree in a relevant field such as bioinformatics, computer science or mathematics (Essential)
    • Experience working with next-generation sequencing data: Illumina base calling, sequencing quality control, sequence alignment, variant calling and de novo assembly, variant annotation, the Genome Analysis Tool Kit (GATK), RNA-sequencing analysis, germline and somatic mutational events, copy number variants etc. (Essential)
    • Advanced understanding of bioinformatics and computer science (Essential)
    • Experience working in an HPC environment and managing scheduling software (Preferred)
    • Advanced programming skills in at least one programming language as well as extensive experience with running and modifying Python, Perl, R, C++, MySQL, UNIX shell, Java, Matlab programs (Essential)
    • Proficiency in Linux (Essential)
    • Experience with bcbio-nextgen pipelines (Preferred)
    • Familiarity with statistical genomics (Preferred)
    • Proven experience developing bioinformatics tools and pipelines (Essential)
    • Excellent written and communication skills (Essential)
    • Experience with relevant public databases (e.g., Variant databases, Gene Ontology, UCSC Genome Browser) (Essential)
    • Bilingual (French/English) (Preferred)

    LOCALE

    Ottawa, Ontaio, Canada

    COMPENSATION

    To be determined

    HOW TO APPLY

    Please apply through our website here: careers.cheo.on.ca

    DEADLINE

    December 18th 2019

    POLICY

    Please note you will be represented by the Ontario Public Service Employees Union (OPSEU).

    Should the applicant require any accommodations during the application process please notify Human Resources as per the Accessibility for Ontarians with Disabilities Act.

    Keywords: Gentics, RNA, DNA, Genome, Hospital, Pediatrics

    DESCRIPTION

    BIONFORMATICIAN Staff Associate position available to study the molecular genetics of chronic kidney disease with special focus on copy number variants. The projects will employ state of the art genomics and bioinformatics approaches (DNA microarray and whole exome and genome NGS) to identify genomic disorders and susceptibility genes for chronic kidney disease. The position also involves serving as liaison with genotyping and sequencing centers and collaborators for retrieval and management of raw data.

    The position requires excellent communication skills and the ability to work in a collaborative, interdisciplinary environment. It also requires experience working in a Linux/Unix environment, bash scripting and advanced programming skills in R and Python for bioinformatics applications; Perl and/or C/C++ are a plus. Literacy in Genetics and/or Statistics are highly desirable for this position.

    Candidates with demonstrable working experience in academia or the private sector developing and/or working with microarray and NGS analysis and annotation pipelines and familiarity with, idat, cel, plink, fastq, bam and vcf files, will be given priority. Minimal requirement: Master's degree in Bioinformatics, Statistics or CS, or B.S degree with at least 3 years of work experience in programming and/or microarray and/or Next-Gen sequencing studies.

    HOW TO APPLY

    Please send curriculum vitae and names of three references to Dr. Miguel Verbitsky, mmv2003[at]cumc.columbia.edu, Columbia University in the City of New York, Department of Medicine, Division of Nephrology, or apply on the company's website: pa334.peopleadmin.com/postings/2532

    POLICY

    Columbia University is an Equal Opportunity/Affirmative Action Employer.

    Searching for research assistant/associate professor to support bioinformatics efforts in studies of the immunopathology of steroid-refractory severe asthma to identify novel therapeutic targets.

    BACKGROUND

    In a joint collaboration of the University of Pittsburgh and Pieris Pharmaceuticals, our goal is to develop new therapeutic targets for the treatment of steroid- refractory severe asthma. The University of Pittsburgh is an internationally recognized medical research institute, which excels in basic, translational and clinical research to establish breakthroughs clinical therapies.

    We have an opening for a Research Assistant/Associate Bioinformatician position with joint appointments in the Departments of Medicine and Environmental and Occupational Health at the University of Pittsburgh. As a bioinformatician, you will have the opportunity to collaborate with other bioinformaticians at the University of Pittsburgh including those at the Systems Immunology Center and the Biostatistics department. Your research will involve analysis of bulk and single cell RNA-seq data from immune and lung epithelial cells, mass cytometry (CyTOF) data, and clinical and other related data types. Our goal is to extract biological signals from these data to develop new targets for drug development in the area of precision medicine in asthma.

    A successful candidate will have a strong background in computational biology and bioinformatics and excellent communications skills. You will have the opportunity to co-author papers on novel findings.

    REQUIREMENTS

    Qualifications:
    • PhD in bioinformatics, biostatistics, or data science with a strong understanding of the principles of bioinformatics and with 2 or more years of related experience. Or equivalent combination of education and/or experience in the above listed fields.
    Experience:
    • Experience in the application of statistics to biological data. Some experience with RNA-seq and CyTOF data analysis is preferred.
    • Experience in working with a variety of data types
    • Proficiency in R or Python programming for statistical analysis
    • Ability to communicate results verbally and in writing

    HOW TO APPLY

    To apply for this position please submit cover letter, CV and at least 2 references to Anuradha Ray, Ph.D., Professor of Medicine and Immunology at raya[at]pitt.edu and Sally Wenzel, M.D., Professor of Medicine and Chair, Environmental and Occupational Health, swenzel[at]pitt.edu.

    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

    The Wistar Institute has an opening for a Managing Director in the Bioinformatics Shared Resource of our NCI-designated Cancer Center. The Bioinformatics Core provides Wistar investigators with expertise in computational analyses of biomedical research data as well as database management and software applications support.

    RESPONSIBILITIES

    The Managing Director is responsible for advising and coordinating work and facilitating projects with clients including assisting with experimental design strategies, performing and managing data analyses, delivering product, and providing publication quality reports with the assistance of the Bioinformatics Core's staff in collaboration with the Bioinformatics Core's Scientific Director.

    The Managing Director will work closely with the Scientific Director to manage the operating and capital budgets as well as ensure timely submission of charge sheets for all work completed by the Bioinformatics Core to facilitate the normal billing cycle.

    The Managing Director will participate in all required activities related to maintaining Wistar's NCI-designation, including writing annual Cancer Center Support Grant (CCSG) progress reports and write-ups for CCSG renewal applications, as well as presenting the Bioinformatics Core during NCI site visits, seminars, faculty and shared resources retreats, and for other purposes as needed.

    REQUIREMENTS

    PhD in mathematics, statistics, bioinformatics, or computational biology with at least five years of broad experience in bioinformatics data analysis required.

    The ideal candidate will have experience in a basic research laboratory and a background in molecular/cellular biology, immunology and/or genetics. Expertise in the latest bioinformatics approaches in high-throughput data analysis: next generation sequencing, microarrays and proteomics, as well as higher level biological interpretational analyses, is highly desirable.

    ABOUT US

    The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. Research discoveries conducted at Wistar have led to the development of vaccines; the identification of genes associated with cancers; and the development of many other significant research technologies and tools.

    HOW TO APPLY

    Please visit usr57.dayforcehcm.com/Cand[...]/1269

    For more information about The Wistar Institute visit our website at www.wistar.org.

    POLICY

    It is the policy of The Wistar Institute to provide equal employment opportunities to all individuals regardless of race, color, creed, religion, national origin, ancestry, sex, age, veteran status, disability, sexual orientation, gender identity, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.

    DESCRIPTION

    • Do you want to work in an environment that promotes free-minded scientific creativity, and translate your findings to impact medical practice and improve healthcare?
    • Are you excited to gain a new understanding of the molecular physiology and pathology of humans?
    • Do you want to join an international group of highly collaborative and successful colleagues that help you achieve your training and research goals?
    • Are you a person who enjoys teamwork across disciplines and within a broader cultural and social context?
    If yes, apply now for one of our 15 fully funded PhD positions. The next PhD Program at CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences, and LBI-RUD, the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases in Vienna will start in September 2020.

    We offer:
    • Supervision by a top scientist and the entire Faculty at CeMM/LBI-RUD
    • A dynamic and highly multidisciplinary international research environment
    • Full access to state-of-the-art facilities
    • A generous scholarship, which covers all research costs, university fees, work-related travel expenses, salary and health insurance for 4 years
    • A PhD degree awarded by the Medical University of Vienna
    You are:
    • An exceptionally motivated PhD candidate with a keen interest in interdisciplinary teamwork and science that nurtures the precise, personalized, predictive and preventive medicine of the future
    • Excellent in writing and speaking English
    • A candidate with (or soon to obtain) a final degree in medicine, biology, chemistry, bioinformatics, computer science, engineering, physics, mathematics or a similar subject (minimum requirement is a four-year Bachelor's degree)
    The research area:
    The 2020 CeMM PhD Program will focus on the thematic areas of Infection, Immunity, Metabolism, Cancer, Rare Diseases, Network Medicine, and Design Chemistry. These areas are built on the pillars of epigenetics and genome integrity, bioinformatics and systems biology, high-throughput genetics, genomics and proteomics, molecular and cell biology, chemical biology, and organic chemical synthesis.

    The program:
    Our goal is to enable and empower students with the ability to successfully design, execute, manage and explain a research project in modern molecular medicine, through a strongly participatory and interactive program. The program is conceptualized in three 'modes': collect, connect and contribute. These will guide you through scientific excellence in data generation and validation to responsible and professional scientific citizenship.

    The host and partner institutes:
    CeMM and LBI-RUD are partner institutes with identical principles of excellence, competitiveness, internationality, as well as mentoring and training, together with the Medical University of Vienna, and the Children's Cancer Research Institute (CCRI) of the St. Anna Children's Hospital they operate in a unique mode of super-cooperation. Here biology is connected with medicine, experiments with computation, discovery with translation, and science with society and the arts.

    The mission of CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences is to achieve maximum scientific innovation in molecular medicine to improve healthcare. At CeMM, an international and creative team of scientists and medical doctors pursues free-minded, basic life science research in a large and vibrant hospital environment of outstanding medical tradition and practice. CeMM's research is based on post-genomic technologies and focuses on societally important diseases, such as immune disorders and infections, cancer and metabolic disorders. The goal of CeMM is to pioneer the science that nurtures the precise, personalized, predictive and preventive medicine of the future. CeMM is part of EU-LIFE an alliance of 13 top research centres in life sciences to support and strengthen European research excellence.

    LBI-RUD, the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases focuses its research on rare diseases of the immune system, hematopoiesis, and the nervous system. This research will not only provide the basis for targeted therapies, but also provide unique and novel insights into human biology far beyond the specific disease. LBI-RUD is highly connected in global networks promoting cooperation and synergy between different disciplines and engaging rare disease patients.

    CeMM and LBI-RUD enjoy a privileged location right in the centre of the Medical Campus Vienna, one of the largest in Europe, door-to-door with the Medical University of Vienna and the Vienna General Hospital (AKH). The Medical University of Vienna is the largest medical research institution in Austria and the AKH is one of the largest hospitals in Europe treating several hundred thousand people a year. Close by, the Children's Cancer Research Institute (CCRI) of the St. Anna Children's Hospital work hard to develop new and improved treatment options for the 250-300 children and adolescents diagnosed with cancer each year in Austria.

    The partner institutions, CeMM, LBI-RUD, CCRI and the Medical University of Vienna are located within walking distance of Vienna's historical city centre. Vienna is repeatedly ranked as the world's best city to live in and is a United Nations city with a large international, English- speaking community. The official language at CeMM is English, and more than 40 different nationalities are currently represented at the institutes.

    For more information about CeMM and LBI-RUD, the PhD Program, and news about our research groups, projects and the research environment, please visit the websites: www.cemm.oeaw.ac.at and rud.lbg.ac.at/en

    CeMM PhD Program:
    The next PhD Program of CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna will start in September 2020. We are offering 15 fully funded PhD positions at CeMM and LBI-RUD and are looking for exceptionally motivated candidates!

    HOW TO APPLY

    Medics, Biologists, Chemists, Bioinformaticians, Computer Scientists, Engineers, Physicists, Mathematicians, and candidates with a degree in a similar subject please apply now.

    Apply now online: www.phdprogram.cemm.oeaw.ac.at/?selection=cemm20

    DEADLINE

    31 January 2020

    Submitter

    BACKGROUND

    A thriving young biotech specialising in drug discovery & development for critical CNS conditions is seeking an exceptional Bioinformatician with strong analysis skills to join their select team. Working with novel human data, this is a stimulating, fast paced environment that offers significant creativity. The chosen candidate will have the chance to take part in ground-breaking research into debilitating diseases such as Parkinson's and Schizophrenia. This position is currently for a 1 year fixed term contract, with potential to convert to a full time post.

    This is a rare and exciting opportunity to enter into the formative years of a truly outstanding biotech company. This organisation is financially well-supported, has a great Cambridge-based location, and offers a competitive package.

    RESPONSIBILITIES

    Key responsibilities may include:
    • Providing support for the CNS expression and epigenetics project, including analysis, data integration and systems approaches. Identification of novel drug targets and application of statistically robust methods
    • Conducting ad-hoc bioinformatics analyses in support of various internal projects, including analysis of internal and public domain expression data, public domain association studies, known variants, and pathway and network analysis
    • Maintaining a close iterative relationship with the biology teams that generate and consume data. You will provide analysis results in easily accessible formats and guide these teams in their use

    REQUIREMENTS

    The ideal candidate will have:
    • A PhD in Bioinformatics, Computational Biology, Data Science or a related discipline
    • Robust data analysis skills
    • A passion for creativity and innovative approaches in statistics
    • Experience with RNA-seq data or GWAS would be highly desirable
    • Extensive experience with R/Bioconductor and/or Python
    • Previous experience in neuroscience/CNS would be beneficial (but not necessary)
    • Fantastic interpersonal & communication skills, and ability to work closely and share complex ideas with biologists/non-informaticians
    • Able to work independently and generate fresh ideas and approaches

    HOW TO APPLY

    For more information, send across your CV to efrancis[at]pararecruit.com or call Emilie on 0121 616 3477.

    Key words: Neuroscience, Neurodegenerative, Computational Biology, Bioinformatics, CNS, Central Nervous System, RNA-seq, Brain Science, Research, Statistical, Quantitative, Parkinson's, Alzheimer's, Schizophrenia, Cambridge, London, Oxford, Stevenage, Biotech, Biomedical, Drug Discovery, Biomarker, novel data, pathway analysis

    DESCRIPTION

    The Human Genomics Lab at The University of Vermont (www.uvm.edu/genomics) is looking for one postdoc in bioinformatics of omics data. Research areas in our lab includes bioinformatics development, disease risk discovery, and translational medicine. We are looking for candidates with expertise in any one or multiple of the three areas. Specific projects can be seen in our webpage (www.uvm.edu/geno[...].html). Please indicate your preferred specific research areas or projects in your first email.

    Our team scientists have newly generated large omics datasets (genome, transcriptome, epigenome, microbiome, phenome, brain images, and others) from multiple specimen types (blood, postmortem brains, neurons, and mice). We are particularly interested in myalgic encephalomyelitis/chronic fatigue syndrome (a common neuroinflammatory disease), and addiction among our selected diseases. We are also interested in long-reads and single-cell sequencing. Candidates have opportunities to participate in new nationwide collaborations; and apply our career awards and fellowship. Publishing in high-impact journals are expected.

    Applicants from biology, genomics, data science or other quantitative fields of any species (plants, animals, microbes) are welcome to apply. Experience with utilizing multiple omics data analysis pipelines and/or genome-wide association tests is desirable. The job updates are online (www.uvm.edu/geno[...]c.pdf).

    COMPENSATION

    Competitive salary and benefits package will be provided with yearly increases.

    HOW TO APPLY

    To apply, please send CV to: dawei.li[at]uvm.edu.

    DEADLINE

    The position is immediately available.

    BACKGROUND

    Our DFG-supported project seeks to characterize the genes which are responsible for the avoidance of self-fertilisation in a ciliate (unicellular eukaryotic microbe). This phenomenon is often caused by mating type and receptor genes. We need a motivated gene hunter to find these. For this project, the genomes and transcriptomes of several strains have been sequenced. We are looking for someone with a bioinformatics background to analyze this data.

    RESPONSIBILITIES

    • Gene prediction and analysis
    • Qualitative analyses of genic differences in these genome and transcriptomes
    • Differential gene expression analyses
    • Protein homology searches
    • Inference of protein function, particularly, of transmembrane proteins, to identify candidate genes involved in mating type determination

    REQUIREMENTS

    • A Masters or PhD degree with strengths in bioinformatics/computational biology and the ability to program. A background in statistics or molecular and cell biology will be a plus.
    • Good English communication skills
    • We are looking specifically for candidates from Germany or surrounding European countries.

    TERMS

    • The position is immediately available.
    • Contract duration: 6 months with a master's degree, or 4 months duration with a PhD

    LOCALE

    The project is a joint one of The University of Tuebingen and Max Planck Institute for Developmental Biology, both in Tuebingen Germany.

    COMPENSATION

    Payment according to qualification and German law governing university contractors.

    HOW TO APPLY

    Applications and queries should be directed in email to both: Prof. Dr. Dieter Ammermann: dieter.ammermann [at] uni-tuebingen.de and Dr. Estienne Swart: estienne.swart [at] tuebingen.mpg.de.

    DEADLINE

    27 December 2019

    Submitter

    BACKGROUND

    Due to successfully winning major international research projects, an award winning biotech based in Cambridge is expanding, has released two fantastic opportunities in their Bioinformatics team. Built on pioneering research from some of the brightest minds in the industry, the company is exploring the role and impact of the human microbiome in heath and disease. This research has huge potential to unlock new methods for diagnostics and treatments for a wide range of diseases, including infections, autoimmune disorders and cancer.

    This opportunity is suitable for a dynamic and talented Bioinformatician who loves working in an innovative, creative environment.

    RESPONSIBILITIES

    Key duties will be:
    • Analysing and interpreting metagenomics data to identify biomarkers of disease and novel live bacterial therapeutic leads
    • Identifying, developing and implementing analytical, statistical and machine learning methods to improve and extend their informatics platform
    • Developing tools and databases capable of integrating and comparing large-scale metagenomics datasets

    REQUIREMENTS

    The ideal candidate will have:
    • A PhD or MSc degree in Bioinformatics, Computational Biology, Physics or a related discipline
    • Experience of microbial genomics and/or metagenomics, bacterial genomics
    • Strong programming ability in Python, Perl, C++ or similar
    • Demonstrable experience of developing novel bioinformatics methods, building pipelines and analysing large scale biological data-sets
    • Knowledge of machine learning or biostatistics would be advantageous
    • Familiarity with phylogenetic/taxonomic classification of genomes and metagenomes

    COMPENSATION

    If you love working with complex data, problem solving, and driving innovation in Bioinformatics and medical science, this would be a fantastic opportunity for you. On offer is an enviable location, competitive salaries, and truly fascinating research projects. The environment is fun, friendly, fast-paced and sociable.

    HOW TO APPLY

    To apply, send a copy of your CV to Emilie Francis at efrancis[at]pararecruit.com. For an informal chat, you can reach Emilie on 0121 616 3477.

    Key words: Microbiome, Bacterial genomics, metagenomics, Bioinformatics, Cambridge, Data Science, Biomarker discovery
    Opportunity: Senior Bioinformatician @ Genomics England -- London, UK
    Submitted by Eugene McDaid; posted on Tuesday, November 26, 2019

    Submitter

    BACKGROUND

    Following the successful completion of one of the largest genomic projects the world has ever seen – the 100,000 Genomes Project – Genomics England are expanding on an ambitious new venture that seeks to sequence the whole genomes of 5 million patients within the next five years. This revolutionary government-funded initiative has produced a wealth of data that could provide crucial insights into rare diseases and cancers, revolutionising healthcare and unlocking a new generation of treatments and diagnostic options that were never before possible.

    Now, Genomics England are supporting external researchers and industrial partners by facilitating access to the data generated from the 100K Genome Project, and fuelling further ground-breaking research and drug discovery projects. This would couldn't be done without the outstanding support of the Bioinformatics Research Services team, who provide expert custom analysis and ensure optimal usage of the data. Experts in their field, the team is comprised of Statistical Geneticists, Bioinformaticians and Computational Biologists. We are now looking to grow the team and are interested in speaking with experienced Senior Bioinformaticians/Statistical Geneticists/Data Analysts who share our passion and have experience of working with (or a strong interest in) human genetics, WGS or GWAS data, Statistical or Population genetics.

    RESPONSIBILITIES

    Key responsibilities include:
    • Understanding Genomics England datasets and the research environment, and being both a super user and advocate internally and externally
    • Understanding the needs of customers (academic, NHS and industry); working with customers to ensure that their scientific projects are successful
    • Carrying out custom analyses on demand
    • Managing data; supporting data generation, intake, and extraction through airlocks
    • Supporting users with how to use our software and data
    • Keeping track of customer relationships and being the internal authority on specific customer issues, needs, and future plans
    • Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions, co-ordinating with internal teams when necessary
    • Contributing to the development of the Research Environment through identifying unmet customer needs, suggesting solutions, and improving supporting material
    • Collaborating internally, particularly with others in the Chief Scientist's team, our Commercial team, Bioinformatics team and platform engineers, to develop and deploy suitable solutions for customers
    • Working from time to time on the NHS Clinical Interpretation pipeline

    REQUIREMENTS

    Desired skills/experience include:
    • Extensive experience in analysis of large-scale genomic data using bioinformatics tools and pipelines
    • Demonstrable experience in using next generation sequencing data, cohort data, GWAS or WGS
    • Competence in R, Python or similar language appropriate for large-scale genomics analysis
    • Strong communication skills, both written and verbal and excellent facilitation, influencing and presentation skills
    • Good customer-service orientation, disposition to help, and experience in working with customers, preferably in the scientific/pharma industry
    • Excellent team working skills and comfortable working as part of matrix teams and as part of external teams to ensure delivery
    • Experience with high-performance computing or cloud-scale data processing
    • Adaptable to an ever-evolving working environment
    • Background in human disease genetics, preferably in cancer or rare disease, demonstrated by publication record or industry track record
    • Educated to MSc level (or higher), in Bioinformatics, Biostatistics, Statistical Genetics, or a related scientific discipline
    • Proven ability to communicate with stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
    • Willingness to travel occasionally (<15%) to meet customers or to attend events to gain market insight
    • Experience of working in a knowledge sharing environment
    • Proven understanding of clinical and phenotypic data management and the sensitivities surrounding patient cohort data

    COMPENSATION

    On offer is a competitive salary package, generous holidays, stimulating projects and a fast-paced work environment.

    HOW TO APPLY

    If you would like to find out more about this fantastic opportunity, send your CV to efrancis[at]pararecruit.com or call (+44) 121 616 34677 to discuss this opportunity further.

    Key words: Statistical Genetics, rare disease, clinical data, cancer research, oncology, population genetics, Bioinformatics, GWAS, Genome wide association studies, Whole genome sequencing, WGS, human genetics, rare variants, 100,000 Genome Project, Statistical geneticist, machine learning, London

    BACKGROUND

    The Biodesign Center for Personal Diagnostics (CPD) in the Biodesign Institute within Arizona State University's Knowledge Enterprise is seeking an experienced PhD-level Bioinformatics Scientist who will provide bioinformatics expertise to our highly diverse and active research groups in production and analysis of genome-scale data to gain insights on human physiology and diseases. This position is primarily for a large-scale project funded by DARPA, which will focus on epigenomics-based predictive modeling (biodesign.asu.edu/news[...]ction).

    Our center is specialized in biomarker research aided by sophisticated genomics and proteomics applications and equipped with fully automated robotic systems for gene cloning, microarray production/processing, as well as next-generation DNA sequencers. We also have a strong expertise in developing high-throughput assays, biomarker panels/signatures, and predictive modeling for various health-related applications. In addition, we are operating web applications for public data and resource repositories, such as the plasmid repository DNASU (dnasu.org/DNASU/Home.do) and the BioSpecimen Commons (biospecimencommons.org). To operate and support the high-paced research activities, we are working closely with the Genomics and Bioinformatics Core at ASU and provide bioinformatics supports to both on- or off-campus researchers in a broad aspects of research projects, including genomics, proteomics, machine-learning, and statistics.

    RESPONSIBILITIES

    As a member of bioinformatics team at CPD, you will:
    • Participate mainly in a DARPA-funded multi-institutional multi-omics project aiming to develop epigenetic signatures and predictive models for detecting exposure to various types of hazardous agents by using bioinformatics, statistics, and machine-learning approaches.
    • Lead analysis of systems-level data such as next-generation sequencing and single-cell sequencing for the DARPA and other basic and translational research projects at CPD.
    • Participate in writing reports, manuscripts, and grant proposals.
    • Support and collaborate with both internal and external researchers.

    REQUIREMENTS

    Minimum Qualifications:
    • PhD in science or related fields with experience in biological research projects and translational and basic science, experimental design, data analysis, and instrumentation.
      • Assistant Research Scientist level: PhD degree and 3 years of experience
      • Associate Research Scientist level: PhD degree and 5 years of experience
      • Research Scientist level: PhD degree and 7 years of experience
    • Hands-on research experience in analyzing high-content biological data (e.g. next-generation sequencing or high-throughput screening data), preferentially epigenetics data
    • Must hold a US Citizenship and eligible to handle CUI (controlled and unclassified) data
    Working Environment:
    • Regular activities require ability to manage multiple tasks at one time, to be able to prioritize tasks; to manage conflict; to interact in a team environment; and to communicate through verbal and written work.
    • Activities are performed in an environmentally controlled office setting and laboratory subject to extended periods of sitting, keyboarding and manipulating a computer mouse; required to stand for varying lengths of time and walk moderate distances to perform work.
    • Frequent bending, reaching, lifting, pushing and pulling up to 25 pounds.
    • Regular activities require ability to quickly change priorities, which may include and/or are subject to resolution of conflicts.
    • Ability to clearly communicate verbally, read, write, see and hear to perform essential functions.
    • May be required to wear personal protective equipment before entering laboratories such as lab coat, gloves, safety glasses, closed toe shoes, and respirator.

    PREFERENCES

    Desired Qualifications:
    • PhD degree in bioinformatics, computational biology, biostatistics, genomics, molecular biology or related fields, and a proven track record of novel research
    • Research experience in biomarker discovery, statistical modeling, and/or machine-learning
    • Proficiency in scientific programming/scripting (e.g., Python or Java), bioinformatics/biostatistics packages (e.g., R/Bioconductor and Biopython), and SQL database
    • Knowledge on biological databases (e.g. gene annotations, pathways, and interactomes) and genomic/proteomic data resources (e.g. NCBI, Ensembl, COSMIC, and UniProt)
    • An efficient team player with strong communication, presentation, and interpersonal skills
    • Detail oriented, flexible, self-motivated, excellent troubleshooting skills
    • Experience in writing scientific documents (e.g. reports, manuscripts and grant proposals)
    • Wet lab experience in molecular and cellular biology
    • Experience in development of scientific software and databases
    • Experience in high-content data visualization/analysis (e.g. network analysis)
    • Excellent written and verbal communication skills; able to articulate compelling and impactful science
    • Adept at working in interdisciplinary scientific teams

    COMPENSATION

    Salary: Depends on experience.

    ABOUT US

    Department Statement:
    For the fourth year in a row, ASU has been named the most innovative school in the nation, recognizing the university's culture of groundbreaking research and partnerships, as well as its commitment to helping students thrive in college and beyond. U.S. News and World Report have named ASU as the most innovative university all four years the category has existed.

    The Office of Knowledge Enterprise Development is committed to Advancing Research, Innovation, Entrepreneurship and Economic Development. We seek research funding, support faculty researchers, nurture partnerships with external partners, promote innovation and entrepreneurship, and share what we learn with the community and the world. We make discovery possible. research.asu.edu.

    The Biodesign Institute addresses today's critical global challenges in healthcare, sustainability, and security by developing solutions inspired from natural systems and translating those solutions into commercially viable products and clinical practices.

    The Biodesign Center for Personalized Diagnostics is a research center within the Biodesign Institute that focuses on personalized medicine. Promising advances in the area of personalized medicine have shown us that life-threatening diseases are as distinct in character as the individuals they afflict. The Virginia G. Piper Center for Personalized Diagnostics has been established with an eye toward overcoming the health care challenges posed by disease variance. Our Center is developing new diagnostic tools to pinpoint the molecular manifestations of disease based on individual patient profiles. The strategy promises not only to improve therapeutic care, but also to greatly reduce treatment costs by allowing for early disease detection.

    About ASU:
    Arizona State University is a new model for American higher education, an unprecedented combination of academic excellence, entrepreneurial energy and broad access. This New American University is a single, unified institution comprising four differentiated campuses positively impacting the economic, social, cultural and environmental health of the communities it serves. Its research is inspired by real world application blurring the boundaries that traditionally separate academic disciplines. ASU serves more than 90,000 students in metropolitan Phoenix, Arizona, the nation's fifth largest city. ASU champions intellectual and cultural diversity, and welcomes students from all fifty states and more than one hundred nations across the globe.

    HOW TO APPLY

    Applicants are responsible for including a cover letter, CV, and the names of three professional references in their application through the Interfolio website: apply.interfolio.com/71623. Emailed applications will not be accepted.

    Application deadline is December 31, 2019. Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled.

    DEADLINE

    Close date: 12/31/2019

    POLICY

    ASU is a tobacco-free university. For details visit www.asu.edu/tobaccofree

    AmeriCorps, Peace Corps, and other national service alumni are encouraged to apply.

    Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law.

    Submitter

    BACKGROUND

    An exciting opportunity has arisen for a Systems Engineer with a strong Linux background to join an expert team working with a drug discovery company based in London. The company to become the world's most productive drug discovery engine by exploiting cutting edge technologies to design and create best-in-class small-molecule candidates targeting a range of high value therapeutic areas.

    This is a varied role, where you will be responsible for maintaining and developing the cloud-based systems to support the development of the Company's proprietary in silico technologies. In addition, you will contribute to the implementation of IT solutions throughout the Company, in support of the IT Manager.

    RESPONSIBILITIES

    • Building and supporting the hosting environment to enable the core technologies to be run effectively
    • Applying a critical focus to security, to ensure full compliance with GDPR and dataset authorisation requirements
    • Carrying out routine preventative maintenance tasks, system checks and regulatory duties to ensure infrastructure health
    • Managing updates and software installations, testing solutions prior to roll out
    • Identifying opportunities to implement new solutions, considering efficiency and scalability
    • Virtual Machine maintenance including initial set-up and ongoing support
    • Documentation updates and change management
    • Contributing to the implementation of Operational IT solutions
    • Providing technical support and troubleshooting, to supplement the Company's third-party IT support team

    REQUIREMENTS

    Technical Skills Required:
    • Significant Linux administration experience – CentOS / Ubuntu
    • Knowledge of Cloud based solutions, in particular significant experience with AWS
    • Virtual Machines
    • Scripting Experience – Python / Bash
    • Database management, GUI improvement desirable
    • Google G Suite
    • Agile project management desirable
    • DevOps software development practices experience

    COMPENSATION

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

    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: Linux, Systems, Administration, Admin, GDPR, Infrastructure, CentOS, Ubuntu, Cloud, AWS, Virtual, Machines, Python, Bash, GUI, Agile, DevOps, Google, Drug, Discovery, London

    BACKGROUND

    Would you like to build bioinformatics systems that make a difference for people?

    As Scientific Developer you will use your scientific background as well as your Python and web programming skills and knowledge of Linux systems to contribute to various bioinformatics projects. You may later become a specialist or a project manager.

    At Intomics we work in close collaboration with our clients from the pharmaceutical industry to discover new drugs and disease biomarkers, improve research, and find the most effective treatments for patients. We are specialized in analysis and integration of biological big data, and typical projects you can be involved in include data management of large amounts of biological data, implementing specialized data processing pipelines for our clients, or designing, developing and maintaining bioinformatics tools.

    Your workday at Intomics will be challenging and you will get the opportunity to use your experience to find the best technical solutions to meet the needs of our clients. Your experienced colleagues will be available for sparring and we are all eager to continue learning and expanding our skillset.

    We are a workplace with a friendly and informal atmosphere, with an employee group with a strong scientific background and a passion for finding innovative solutions. We strive to work efficiently and your commitment will be rewarded with a competitive compensation package and the flexibility to keep a healthy balance between work and personal life.

    REQUIREMENTS

    We are looking for a bioinformatician who wants to focus on the 'informatics' part and who has strong programming skills in Python, experience with web programming, and understands working in a Linux environment. Knowledge of relational, graph or NoSQL databases will be considered an advantage, as will knowledge of other programming languages. We expect you to have good communication, collaboration and documentation skills as well as a commercial mindset.

    LOCALE

    You will be part of the Informatics department and work at our office in Lyngby.

    ABOUT US

    Intomics A/S, located in Lyngby, North of Copenhagen, Denmark, is a leading bioinformatics company specializing in providing tailor-made solutions within data mining, bioinformatics and systems biology for the pharmaceutical industry.

    HOW TO APPLY

    Please send your motivated application, CV and references to applications-1906[at]intomics.com in pdf no later than December 10th. Applications will be reviewed on a rolling basis.

    Enquiries can be made to Head of Informatics, Rasmus Borup Hansen (+45 88807979).

    POLICY

    We wish to have a balanced employee group to reflect the surrounding society, and therefore encourage all interested applicants regardless of their personal background.

    BACKGROUND

    • A postdoctoral position is available in the lab of Mira Han at University of Nevada, Las Vegas and Nevada Institute of Personalized Medicine.
    • Research will focus on integrating heterogeneous omics data to understand the biology of transposons and their effects on disease.
    • Other projects involve investigating the potential regulatory role of transposons, through analysis of existing ChIP-seq, eCLIP, RNA-seq and genetic datasets.
    • Nevada Institute of Personalized Medicine was just awarded a $11.4M, 5 year Center of Biomedical Research Excellence P20 Grant from NIH in personalized Medicine.
    • The position will involve collaboration with other computational biologists and molecular biologists in the Nevada Institute of Personalized Medicine and School of Life Sciences.
    • It will also involve assisting in the supervision of graduate and undergraduate students and developing new areas of research.
    • Visit the website to find out more at www.unlv.edu/NIPM and www.unlv.edu/lifesciences

    RESPONSIBILITIES

    • The main responsibility will be to apply sequence data analysis to identify differentially regulated transposable elements in disease, and predict elements with regulatory function.
    • The postdoctoral researcher will be able to explore other projects independently in addition to the main project.

    REQUIREMENTS

    • PhD degree in Bioinformatics, Computer Science, Biological Sciences, Mathematics, Biostatistics or related fields
    • Proven skills in programming (Python, R, C/C++) and experience with Linux/Unix environments
    • Practical experience of high-throughput data analysis, data management, data mining/ integration
    • Practical experience of next-generation sequencing data analysis and skills in bioinformatic tools and databases
    • Self-motivation with excellent communication skills and an ability to work well in a team environment

    PREFERENCES

    • Experience in machine learning and heterogeneous data integration
    • Experience with molecular biology of next generation sequencing

    TERMS

    Appointment is for two years with a possibility of extension of one more year.

    LOCALE

    The UNLV campus offers a stimulating and rewarding environment. Here, you will find a friendly community dedicated to learning and research. Las Vegas has its safe communities, affordable home prices, high quality of life, little traffic.

    COMPENSATION

    $48,432

    HOW TO APPLY

    Please visit nshe.wd1.myworkdayjobs.com/en-U[...]13080

    DEADLINE

    As soon as possible. The position can start immediately.

    BACKGROUND

    The National Institute of Environmental Health Sciences (NIEHS) announces an exciting opportunity to shape the use of information technology for scientific exploration, discovery, and translation. We are seeking an outstanding leader who will fully harness advances in scientific computing and scientific information technology to support and strengthen our research programs.

    RESPONSIBILITIES

    The Division of Intramural Research is seeking an accomplished scientist in information technology to take on a leadership position as the NIEHS Scientific Information Officer (SIO). This individual will head the Office of Scientific Computing (OSC) and will lead a team that is directly focused on scientific information technology. Responsibilities include strategic planning and management, scientific and high-performance computing, training, and functioning as a liaison with other parts of the NIH, other federal agencies, and with other organizations. The successful candidate will work with scientific and technology leaders within NIEHS to establish and maintain an information technology infrastructure that supports a vast variety of biomedical computing priorities ensuring NIEHS remains a leader in applying technology for scientific collaboration and discovery.

    REQUIREMENTS

    The ideal candidate will have an advanced degree (Ph.D., M.D., or equivalent) with a record of accomplishment in information technology support to a scientific enterprise as well as application to basic and clinical research. The position, due to its cross-cutting nature, requires an individual who is highly collaborative, comfortable tackling information technology interests in a scientifically diverse environment, has strong oral and written communication skills, can build and manage a team, and who keeps abreast of the most current technological advances in support of both scientific and enterprise information technology strategy. Knowledge of the following areas is highly desired: academic and federal scientific culture, information technology solution development in the research and research administration space, government information technology security principles, clinical and basic research data management strategies, high-performance computing systems, scientific- and data-driven computational approaches, and content management systems. A suitable candidate may receive supporting resources and allocate up to 20% of their effort toward leading independent research. Salary is commensurate with experience and accomplishments. More detailed information about the NIEHS Division of Intramural Research may be found at www.niehs.nih.gov/rese[...]dir.

    LOCALE

    Research Triangle Park, NC

    HOW TO APPLY

    Applications for this position will be accepted via USAJOBS.com November 26, 2019 through December 6, 2019 at www.usajobs.gov/GetJ[...]78000. There will be a 10-day window to apply for the position. Applicants should submit the following: cover letter highlighting key qualifications; current curriculum vitae with complete bibliography; names and addresses of three references; and a one-page summary stating the applicant's philosophy for supporting the information technology needs of a scientifically diverse community and accomplishments in supporting information technology and scientific computing in a dynamic research setting. Please include in your CV a description of your mentoring and outreach activities, especially those involving women and racial/ethnic or other groups that are underrepresented in biomedical research.

    DEADLINE

    December 6, 2019

    POLICY

    Commitment to Diversity and Equal Employment Opportunity:
    The NIH NIEHS encourages the application and nomination of qualified women, minorities, and individuals with disabilities. The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. The NIEHS will provide reasonable accommodations to applicants with disabilities as appropriate. If you require reasonable accommodation during any part of the application and hiring process, please notify us.

    DO NOT INCLUDE YOUR BIRTH DATE OR SOCIAL SECURITY NUMBER (SSN) ON APPLICATION MATERIALS. DHHS AND NIH ARE EQUAL OPPORTUNITY EMPLOYERS.
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