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    BACKGROUND

    Leidos Overview:
    Leidos is a global science and technology solutions leader working to solve the world's toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported pro forma annual revenues of approximately $10 billion for the fiscal year ended January 1, 2016 after giving effect to the recently completed combination of Leidos with Lockheed Martin's Information Systems & Global Solutions business (IS&GS). For more information, visit www.Leidos.com. The company's diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Leidos is an Equal Opportunity Employer.

    Program Description:
    The Molecular Characterization Laboratory (MoCha) is part of Leidos Biomedical Research's Clinical Research Directorate (CRD) at the Frederick National Laboratory for Cancer Research. The MoCha Laboratory is responsible for providing high-level research in support of the NCI-Cancer Diagnostics Program (CDP) within the Division of Cancer Treatment and Diagnosis (DCTD). MoCha is charged with the development and application of genomic assays for use in medical research and diagnostics for DCTD-sponsored national extramural clinical trials.

    RESPONSIBILITIES

    Job Description / Basic Function:
    • Serve as the technical authority on computational issues related to the assigned projects/programs
    • Validate and maintain genomic analysis pipelines for exome, whole genome and RNA-seq data generated from the MoCha lab and/or collaborator(s)
    • Provide biological interpretation of genomic analyses to advance the understanding of the molecular biology of cancer
    • Organize and manage large genomic datasets and the integration of data from multiple sources
    • Supervise the activities of bioinformatics team members to ensure quality of work and the prioritization of projects to meet deadlines
    • Interact with management to define strategies for genomic data analysis including hypothesis generation and testing of predictive biomarkers of drug response
    • Collaborate extensively with intramural laboratories at the NIH and extramural scientists
    • Generate scientific opinions, identify potential resources or constraints, and propose strategies for exploiting available databases and program data generated at the molecular and cellular levels

    REQUIREMENTS

    Basic Qualifications:
    To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
    • Possession of a PhD degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in biomedical science/bioinformatics/math/statistics/computer-related field
    • Foreign degrees must be evaluated for U.S. equivalency
    • A minimum of five (5) years of related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development
    • Experience in analysis of next generation sequencing (NGS) data (including quality metrics, mapping, variant calling, quantitation of gene expression and biological interpretation) and microarray analysis
    • Experience in analysis of large genomic data sets including integration with data available from public or private sources
    • Hands-on experience in data processing and analyzing sequencing and expression and other array data including quality and biological assessment
    • Experience in a computer cluster environment
    • Proficiency in bioinformatics tools, database management, bash shell scripting and programming languages such as R, C/C++, PYTHON, PERL, JAVA, SQL
    • Proficiency in several genomic data analysis tools such as GATK, Samtools, Bowtie, AnnoVar, etc., as well as biological pathway/functional analysis
    • Expertise in statistical and algorithm development for analyzing complex biological data
    • Experience and demonstrated success in a team-oriented environment
    • Excellent communication skills (written and oral)
    • Ability to identify and solve complex problems
    • Proven knowledge of cancer biology demonstrated through peer reviewed publications
    • Must be able to obtain and maintain a security clearance

    PREFERENCES

    Preferred Qualifications:
    Candidates with these desired skills will be given preferential consideration:
    • Post Doctoral experience
    • Experience in algorithm development for NGS data analysis
    • In-depth understanding of molecular biology techniques, oncology and clinical research
    • Experience in data integration, database construction, application development and visualization
    • Experience in porting applications to a web environment and working with workflow tools and applications
    • Supervisory experience

    TERMS

    Full Time

    LOCALE

    Frederick, MD

    HOW TO APPLY

    Please visit jobs.leidos.com/Show[...]NCI)/

    BACKGROUND

    Applications are invited for the position of Post-Doctoral Research Associate funded as part of the NIHR Cambridge Biomedical Research Centre to provide bioinformatics and biostatistics analysis of immunological data for research studies in psychiatry.

    The Department has several research projects ongoing that are collecting detailed immunological measurements including multiplex proteomics, flow cytometry and RNA transcripts on blood and cerebrospinal fluid from patients with depression, psychosis and other mental health disorders. This innovative and inter-disciplinary work is funded by the Wellcome Trust and the Medical Research Council with support from partners in the pharmaceutical industry. This role is designed to provide technical expertise and leadership in analysis of these large and complex datasets, and to originate new analytic tools as appropriate, to understand the links between the immune system, brain function and behaviour.

    REQUIREMENTS

    Candidates should have a PhD (or equivalent) in bioinformatics or biostatistics. Specialist knowledge and prior experience of using bioinformatics tools for analysis of immunological datasets would be advantageous.

    TERMS

    Fixed-term: The funds for this post are available for 2 years in the first instance.

    LOCALE

    The post will be based at the Cambridge Biomedical Campus, reporting to Professor Ed Bullmore, Department of Psychiatry (www.psychiatry.cam.ac.uk), and will also be embedded in the specialist bioinformatics/biostatistics research group of Dr Leonardo Bottolo, in the Department of Medicine (www.med.cam.ac.uk) and the Alan Turing Institute (www.turing.ac.uk), with close links to Professor Sylvia Richardson and colleagues in the MRC Biostatistics Unit (www.mrc-bsu.cam.ac.uk).

    COMPENSATION

    £29,301-£38,183

    The post will be appointed at the appropriate point on the University of Cambridge's research associate salary scale, depending on the seniority of the successful candidate.

    HOW TO APPLY

    Please visit www.jobs.cam.ac.uk/job/12772

    Informal enquiries may be directed to Mrs Karen Gipp (ke242[at]medschl.cam.ac.uk).

    DESCRIPTION

    The Boztug Lab and the Menche Lab at CeMM in Vienna are each searching for one motivated postdoctoral fellows for projects within a productive scientific collaboration. We joined forces to realize an ambitious project at the intersection of rare disease genetics, network biology and precision medicine that has the potential to have a lasting impact on each of these three fields.

    The Project – There are more than 7,000 rare diseases and collectively they affect around 5% of the population. Many of them are caused by single-gene defects and thereby offer unique opportunities to establish clear mechanistic genotype-phenotype relationships. To establish the precise molecular mechanisms by which individual gene aberrations perturb cellular networks, systems biology approaches will be instrumental. Rare diseases thus have extraordinary potential to serve as a paradigm for precision medicine that bridges the gap between wholistic, systems based analyses and actionable insights for personalized therapy. The overarching goal of the joint project is to rationalize patient-specific workflows from gene discovery and underlying pathomechanisms to targeted therapy. The subproject lead by Kaan Boztug will focus on using network biology to more efficiently identify novel disease etiologies underlying immunodeficiencies and to systematically dissect rare disease clusters to compare to more common immune disorders and to predict drug responses. The subproject lead by Jörg Menche will focus on the development of multi-layer network approaches to integrate diverse genomic data into a predictive platform for personalized medicine. Both research projects are funded by WWTF (www.wwtf.at).

    The Research Groups – Kaan Boztug (www.rare-diseases.at) is a leading immunologist and rare diseases researcher and director of the newly founded Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD). His lab is interested in the genetics of rare primary immunodeficiencies and rare diseases of hematopoiesis with a special focus on disorders with autoimmunity and/or autoinflammation (Dobbs et al., NEJM 2015; Salzer et al., Nat Immunol 2016). His goal is to identify targets for tailored molecular therapies and to develop precision medicine approaches for diagnostics and treatment. His group applies a combination of state-of-the-art genomic technologies including next generation sequencing, a wide range of cellular and molecular techniques and innovative systems biology to elucidate novel pathways important for hematopoiesis and immune system homeostasis. Jörg Menche (www.tinyurl.com/joergmenche) leads a newly established computational network medicine group and is an expert in analyzing large datasets derived from post-genomic technologies through the lens of network science (Menche et al., Science 2015). His overarching goals are (i) to gain conceptual insights into the network signatures that characterize disease states, (ii) to convert these insights to novel bioinformatics tools for the analysis of molecular data and ultimately (iii) to make a real impact by translating concepts and tools to the clinic.

    The Institute (www.cemm.at) – CeMM is a flagship institute for biomedical research in the heart of Europe, Vienna. We are committed to highest scientific standards as exemplified by recent publications in top journals including Nature, Science and Cell. CeMM offers a uniquely dynamic, interactive and international environment and is located in a beautiful building at the center of the Medical University campus, within walking distance of Vienna's historical city center. CeMM has been ranked among the top-5 best places to work in academia (the-scientist.com/2012[...]-2012). Vienna is frequently ranked the world's best city to live in. It is a United Nations city with a large English-speaking community.

    The official language at CeMM is English, and more than 40 different nationalities are represented at the institute. We are convinced that diversity and a multicultural work environment are clear advantages for successful research and are committed to attract, develop, and advance the most talented individuals regardless of their gender, race, sexual orientation, religion, age, disability status or any other dimension of diversity.

    Why you want to join our team:
    • You want to pursue meaningful research projects at the highest level in an inspiring and international working environment.
    • You want to be part of the next generation of scientists that shape the future of medicine and value our numerous possibilities for personal and professional growth.
    • You appreciate our young and dynamic working atmosphere and the possibility to join our cultural, social and sports activities.
    • We are happy to provide help and assistance to all our employees, their spouses and family members in terms of visa and relocation procedures, dual-career and childcare services, and others.
    • You wish to receive a competitive salary: your position will be remunerated according to FWF personnel costs (www.fwf.ac.at/en/r[...]osts/) depending on qualifications and experience.
    Why we want you to join our team:
    • You are a proactive and independent thinker with a background in Bioinformatics, Systems or Network Biology, Complex Systems, or similar.
    • You are enthusiastic and passionate about science.
    • You are motivated to find innovative, creative and free-spirited solutions to open research questions.
    • You love to communicate, to collaborate, to connect different scientific disciplines and to contribute to multidisciplinary and multicultural teams.

    HOW TO APPLY

    Please apply online with a cover letter describing your career goals and explaining why you are the ideal candidate for this position, your detailed curriculum vitae and contact details of 2-3 referees. Please indicate in your cover letter which lab you would preferably like to join and upload your full application here: cemm.jobbase.io/job/l7vwx4x2

    Ideally, you should please submit one PDF file containing all of your application documents. Initial application deadline is 20th of April 2017, but the call will remain open until the position is filled.

    BACKGROUND

    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

    The Dana-Farber Cancer Institute seeks a Senior User Experience (UX Architect) to help build open-source software for precision (or "personalized") cancer medicine. Our platforms are focused on mining of cancer genomic data sets, understanding resistance to targeted therapy, and enabling precision medicine initiatives at DFCI.

    REQUIREMENTS

    The Senior User Experience (UX Architect) is an exceptional candidate who has extensive web application development experience and a passion for open-source software development.

    Required skills:
    • Bachelor's degree or Master's Degree in Computer Science, Bioinformatics, Computational Biology or a related field
    • 3+ years of front-end web application experience
    • Expert knowledge of Javascript and Angular JS
    • Data visualization in D3
    • User interaction design and data visualization
    • Expert knowledge of HTML and CSS
    • Portfolio of web application work including Angular JS
    • Active github/bitbucket account which demonstrates passion and coding abilities
    • Strong interest in contributing to biological research with clinical applications
    • Experience in modern software development technologies, including distributed versioning systems, continuous integration, and Agile programming practices
    The candidate must demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and efficiently multitask is a must.

    PREFERENCES

    Desirable skills: Previous experience in bioinformatics is highly desirable, but not required.

    HOW TO APPLY

    Include a short description of your interest with your resume / CV.

    Apply Here: www.Click2apply.net/vpbb78463nykxtc8

    PI97192276

    DEADLINE

    04/15/2017

    POLICY

    Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

    DESCRIPTION

    Radboud University Medical Center (Radboudumc) has a vacancy for a professor in Bioinformatics to lead its Bioinformatics Department, known as the Center for Molecular and Biomolecular Informatics (CMBI).

    Data sciences and bioinformatics will underpin innovation in the biomedical sciences and healthcare over the next decade. Radboudumc is taking steps to strengthen its presence in these fields, and this appointment is intended to further the realisation of this vision. The current head of CMBI will retire in 2017, and therefore Radboudumc is seeking a new professor to lead and develop the Bioinformatics Center.

    The new professor will lead the scientific programs of the center, nationally and internationally. The CMBI encompasses currently research lines in Comparative Genomics, Bacterial Genomics, Computational Discovery and Design, and in Protein Structure Bioinformatics. The successful applicant will also contribute to teaching of bioinformatics in the faculties of medicine and science of the Radboud University. The ideal candidate combines leadership skills with strong scientific expertise in any of the branches of bioinformatics with relevance to biomedicine.

    In the coming years, Radboudumc will invest in big data science with the establishment of its Digital Research Environment. The CMBI will play a key role in this transition, as a knowledge hub, and by developing research with various clinical and translational research groups of the Radboudumc.

    In general terms, the new head of the CMBI should contribute to a bioinformatics environment that builds bridges between clinical and non-clinical groups, and promotes the scientific strengths of Radboudumc.

    Profile:
    The new professor of bioinformatics and head of CMBI:
    • Possesses outstanding leadership skills and stimulates the growth of scientific talent. Uses an open style of communication that involves clear delegation of tasks and responsibilities
    • Is an effective communicator and team builder, with good networking skills to be used within Radboudumc, as well as nationally and internationally
    • Develops and implements a clear strategic vision for bioinformatics at Radboudumc
    • Has the ambition to position the CMBI as an outstanding center of excellence in bioinformatics
    • Works to connect different molecular and biomedical fields
    • Has already attained excellent standing and visibility in the international scientific community
    • Is an inspiring teacher with demonstrable affinity and experience in education

    TERMS

    Title: Full Professor to lead the Department of Bioinformatics
    Department: Center for Molecular and Biomolecular Informatics
    Duration: Permanent

    ABOUT US

    Organization:
    Center for Molecular and Biomolecular Informatics:
    CMBI performs research and education, and provides services in bioinformatics and cheminformatics at the Radboudumc. Currently, four research groups in the CMBI work on: Comparative genomics, Bacterial genomics, Computational Discovery and Design and Protein Structure Bioinformatics. The CMBI is committed to a series of educational projects, ranging from high school to postgraduate courses and from a MSc-programme in Bioinformatics to international workshops. The services provided by the Center are computational facilities, databases, and software packages in bioinformatics and cheminformatics. The cheminformatics services are directly available at CMBI, many of the bioinformatics services are offered via the (inter)national service platforms (NBIC, EBI, etc.).

    Working at Radboudumc:
    Radboudumc aims to be at the forefront of the development of innovative, sustainable and affordable healthcare. Our mission is 'to have a significant impact on healthcare'. We believe we can achieve that by providing excellent quality, participatory and personalized healthcare, operational excellence and by working together in sustainable networks. The starting point for this is patients and their quality of life. Throughout all this, patient care, research and education go hand in hand.

    To realize our mission, we are searching for colleagues who want to take on this challenge with us; employees who are excellent in their field of expertise and give it their all by pushing boundaries and providing 'that little bit more'. At Radboudumc, you gain the confidence, receive and take responsibility to successfully make these changes. For the best patient care and the best future of healthcare.

    HOW TO APPLY

    Please apply before April 18, 2017 via the online application form. You can use this link: ltpx.nl/nC1hr4x

    Recruitment agencies are asked not to respond to this job posting.

    Comments and contact information:
    The selection procedure may entail an assessment.

    For more information, please contact:
    Prof. Han Brunner, chairperson of the Appointment Advisory Committee, Han.Brunner[at]radboudumc.nl or +31 (0)24 361 40 17 or mrs. Dineke Leeuwma, secretary of the Appointment Advisory Committee, Dineke.Leeuwma[at]radboudumc.nl, +31 (0)24 818 73 31.

    BACKGROUND

    A postdoc position is available in the Cellular Network Biology group at The Novo Nordisk Foundation Center for Protein Research (CPR – www.cpr.ku.dk). The Center has been established at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance. The Center comprises a wide range of expertise and resources including proteomics, protein production, bioinformatics and general characterization of disease mechanisms. The Programme for Disease Systems Biology consists of two research groups covering many systems level aspects of biology and medicine, including the integration of molecular-level data and healthcare data, including biomedical texts.

    RESPONSIBILITIES

    Responsibilities and tasks:
    The Cellular Network Biology group (www.cpr.ku.dk/rese[...]nsen/) led by Lars Juhl Jensen focuses on network-based analysis of proteins and their posttranslational modifications in the context of cellular signaling and disease. The postdoc will work on analysis of data from electronic health records combined with molecular-level data in the context of alcoholic liver fibrosis and be part of the GALAXY consortium (livergalaxy.eu).

    Projected start date: Summer 2017.

    REQUIREMENTS

    Qualifications:
    Candidates for the postdoctoral positions must hold a PhD degree (or equivalent) within a relevant discipline and have experience with programming and large-scale data analysis. The successful candidates will have strong qualifications or experience within several of the following areas:
    • Bioinformatics / computational biology
    • Experience with medical data
    • Statistical data analysis
    • Programming in Python and/or R
    The cellular network biology group is highly multidisciplinary and international. Members are expected to collaborate both within the group, within the center, nationally, and internationally; strong networking and team player skills are therefore valued.

    TERMS

    Terms of salary and employment:
    Salary, pension and terms of employment will be in accordance with the agreement between the Ministry of Finance and The Academics Central organization. Currently, the monthly salary is around 32,000-33,700 DKK (around 4,200-4,500 €) plus 17.1 % in pension contribution.

    The Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC) have agreed on a protocol that makes it possible for all international researchers employed by the University to achieve a pension exemption, where the pension will be paid as salary. For more information about the different pension schemes: ism.ku.dk/onarrival/pension/

    Duration: 2 years

    LOCALE

    Place of employment and work:
    The employment is at CPR (www.cpr.ku.dk), University of Copenhagen, located in central Copenhagen. The research environment at CPR is ambitious and international, with approx. 30 different nationalities currently represented. The Center comprises modern laboratories, supercomputer resources and state-of-the-art facilities within protein science. Seminars with high-profile international speakers and regular internal research seminars are organized at the Center. The selected candidate should expect some travel activity.

    For more information on working and living in Denmark visit www.ism.ku.dk (International staff mobility) and www.workingconditions.ku.dk.

    HOW TO APPLY

    Application procedure:
    Your application should be submitted electronically via the apply now button below.

    Your application should include the following documents:
    • Motivated letter of application
    • Curriculum vitae, incl. education and experience
    • Copy of diplomas/degree certificate(s)
    • List of publications
    Deadline for application: April 20, 2017

    After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at employment.ku.dk

    For further information about the position or the process, please contact CPR: jobs[at]cpr.ku.dk

    CPR and the University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.

    Apply online: employment.ku.dk/facu[...]96335

    POLICY

    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.

    BACKGROUND

    A postdoctoral position in bioinformatics/data science is available at the Icahn School of Medicine at Mount Sinai. The successful candidate will be joining the Suarez-Farinas Lab, a collaborative group, involving the Center for Biostatistics and the Department of Genetics and Genomic Sciences. Our primary focus is analysis of high-dimensional biomarker studies coupled with mechanistic clinical trials, as well as the development of precision medicine algorithms for food allergy, psoriasis and Inflammatory Bowel Syndrome.

    REQUIREMENTS

    We seek capable and self-motivated individuals who have earned a doctoral degree or foreign equivalent in an interdisciplinary, data-driven field, with educational emphasis in bioinformatics/data science/machine learning /statistics. Additional qualifications include: a superior academic performance, proficiency in R, Python, experience with handling of BIG data and an ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment. Job description: The applicant is expected to show excellence in independently conducting analyses of high dimensional data (such RNA sequence and proteomic data) including but not limited to applying methods for normalization and quality control (QC), statistical modeling, machine learning algorithms.

    TERMS

    This is a full-time, two-year postdoctoral position. Candidates may not have more than five years of postdoctoral experience including that from other institutions.

    HOW TO APPLY

    Review of applications will begin. Interested individuals should send a CV and the names of three references to Dr. Suarez-Farinas (mayte.suarezfarinas[at]mssm.edu) with a subject line "postdoc position".

    Submitter

    BACKGROUND

    The Center for Precision Health (CPH) at the School of Biomedical Informatics (SBMI), the University of Texas Health Science Center at Houston (UTHealth) has a non-tenure track position at the assistant professor level in the areas of precision medicine and bioinformatics.UTHealth is in the world-renowned Texas Medical Center (TMC) located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI currently offers Master's and Ph.D. Degrees, along with a certificate program in biomedical and health informatics.

    The successful candidate will be expected to plan, supervise, and direct research in bioinformatics, genomic medicine, and the related in CPH's director, Dr. Zhongming Zhao's lab. The candidate will provide technical expertise to facilitate the study design, sample or data collection, pipeline development, data analysis, results implementation, manuscript writing, and grant proposal preparation. Collaborative research with other faculty in the CPH, school and across UTHealth and TMC (e.g., MD Anderson Cancer Center and Baylor College of Medicine) is also encouraged. It provides opportunity to supervise post-doctoral fellows and lead the projects or initiatives through team research.

    REQUIREMENTS

    The individual should possess a doctoral degree in one of the following areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, medicine, biostatistics, or related disciplines. A record of verifiable and published research in bioinformatics and genomics and potential for obtaining extramural funding are preferred. Excellent teamwork and communication skills are required. Please provide a CV and a research statement.

    PREFERENCES

    Research experience in pharmacogenomics or complex disease studies is a plus. Some grant writing experience.

    LOCALE

    Houston, Texas, USA

    COMPENSATION

    By experience.

    HOW TO APPLY

    Apply at jobs.uth.tmc.edu (search Requisition # 160942 for RAP position). Please send an email to zhongming.zhao[at]uth.tmc.edu to inquire any information.

    DEADLINE

    Open until the position is filled.

    Submitter

    BACKGROUND

    Several postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML,www.uth.edu/bioinfo/), now moved to School of Biomedical Informatics, University of Texas Health Science at Houston (UTHealth) from Vanderbilt University Medical Center. The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing data analyses, and regulatory networks. Integrative genomics and systems biology approaches are often applied. Funding is available to support this position for up to three years and future promotion is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab has an excellent post-doctoral training track record (e.g. 13 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, and three were finalists for the Vanderbilt Postdoc of the Year Award). Recent publications:

    Jia P, Jin H, Meador CB, Xia J, Ohashi K, Liu L, Pirazzoli V, Dahlman KB, Politi K, Michor F, Zhao Z, Pao W (2013) Next-generation sequencing of paired tyrosine kinase inhibitor-sensitive and -resistant EGFR mutant lung cancer cell lines identifies spectrum of DNA changes associated with drug resistance. Genome Research 23:1434-1445

    Cheng F, Jia P, Wang Q, Lin CC, Li WH, Zhao Z (2014) Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome. Molecular Biology and Evolution, 31(8):2156-2169

    Jia P, Wang Q, Chen Q, Hutchinson K, Pao W, Zhao Z (2014) MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis. Genome Biology 15:489

    Zhao Z, Xu J, Chen J, Kim S, Reimers M, Bacanu SA, Yu H, Liu C, Sun J, Wang Q, Jia P, Xu F, Zhang Y, Kendler KS, Peng Z, Chen X (2015) Transcriptome sequencing and genome-wide association analyses reveal lysosomal function and actin cytoskeleton remodeling in schizophrenia and bipolar disorder. Molecular Psychiatry, 20(5):563-72

    Shen Q, Cheng F, Song H, Lu W, Zhao Z, Zhang J (2017) Proteome-scale investigation of protein allosteric regulation perturbed by somatic mutations in 7,000 cancer genomes. American Journal of Human Genetics, 100(1):5-20

    The BSML lab is part of the new Center for Precision Health (CPH), a joint enterprise by the School of Biomedical Informatics and School of Public Health, The University of Texas Health Science at Houston. The center is established in UTHealth in response to the emerging need of precision health and President Obama's Precision Medicine Initiative. The center focuses on precision cancer medicine, systems medicine, pharmacogenomics, and translational bioinformatics. UTHealth is in the world-renowned Texas Medical Center (TMC) located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI currently offers Master's and Ph.D. Degrees, along with a certificate program in biomedical and health informatics.

    REQUIREMENTS

    The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, R, Java, or C/C++). Good understanding of genetics or molecular biology and familiarity with biostatistics are plus. For more information about our research, please visit the web site www.uth.edu/bioinfo/.

    PREFERENCES

    Experience in NGS data analysis and/or complex disease genetics

    TERMS

    Up to three years, and with potential to get promotion to upper level positions.

    LOCALE

    Houston, Texas, USA

    COMPENSATION

    Salary are commensurate with the NIH pay level, and can be higher with strong research experience. Promotion to other positions is available too. All postdocs are provided with the benefits according to the university standard (medical and dental insurance, retirement, etc.).

    HOW TO APPLY

    Please contact zhongming.zhao[at]uth.tmc.edu

    DEADLINE

    Available until being filled.

    BACKGROUND

    Two postdoctoral positions are available at the Wellcome Trust Sanger Institute (WTSI) under the leadership of Dr Peter Campbell. This is an exciting opportunity for the successful candidate to apply novel bioinformatic algorithms to unravel the mutational signatures that will hopefully explain the major global differences in cancer incidence, to understand the biological mechanisms underlying cancer-causing mutational processes and to explore their application towards surveillance of mutagenic exposures in human populations.

    RESPONSIBILITIES

    The successful applicant will have a PhD and significant experience and expertise of the large-scale analyses of next-generation sequencing data to extract mutational signatures and interpreting the results. They will be part of a multidisciplinary team and will be tasked with further contributing towards developing the analysis tools and pipelines for this project as well as interpreting the output of analyzing complex data sets.

    REQUIREMENTS

    • A PhD in Genomics, Genetics, (Computational) Biology (or similar), and a passion for problem solving
    • General Molecular biology experience
    • An understanding, experience and published outcomes from analysing and interpreting large datasets using at least one statistical package (e.g. R/SPLUS, SAS) and experience in programming (e.g. Perl, Python, C++, Java)
    • The ability to effectively communicate with collaborators and occasionally present oral communication to large groups
    • Proven independent working style, technical problem solving, data analysis and generation of novel ideas

    PREFERENCES

    • Training in statistical methods appropriate for biological research
    • Experience in genomics approaches and in method development

    TERMS

    Please include a covering letter and CV with your application.

    LOCALE

    Hinxton, Cambridge CB10 1RQ

    COMPENSATION

    Salary £31,115 to £39,004 plus excellent benefits. Fixed term for 3 years .

    HOW TO APPLY

    Click on the link: jobs.sanger.ac.uk/wd/p[...]07018

    DEADLINE

    Closing date for applications: 6th April 2017, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.

    BACKGROUND

    Would you like to help manage and develop a state-of-the-art High Performance Compute (HPC) facility to enable cutting-edge biomedical research? This is an exciting opportunity to gain skills and experience as part of a friendly team supporting research staff and students at the Kennedy Institute of Rheumatology (KIR).

    The KIR is a world-class research centre located in new premises next to the Wellcome Trust Centre for Human Genetics at the University of Oxford. It houses an advanced HPC facility (>20 TFLOPs and around 0.5PB of fast storage) to support research increasingly reliant on computational genomics and big-data analysis.

    RESPONSIBILITIES

    As the KIR HPC Systems Administrator you will be responsible for the HPC facility and other local IT infrastructure. You will be expected to support users of the HPC and to provide occasional general front-line IT support.

    REQUIREMENTS

    You should be able to demonstrate an excellent understanding of Linux systems administration and real-world experience along with a keen interest in learning about new technologies and platforms. Candidates with less experience are also encouraged to apply for this post. Full training in the administration of the HPC platform will be provided locally and by the University's Advanced Research Computing Team as required. An enthusiastic team player, you value quality of service, have an eye for detail and respond positively to new challenges. Please read the accompanying job description carefully and we ask that you ensure that you address each of the selection criteria in your supporting statement.

    TERMS

    This role is initially funded for 3 years. The University is committed to supporting and developing its staff – our department is a recipient of the Athena Swan Silver Award.

    LOCALE

    Kennedy Institute of Rheumatology, Old Road Campus, University of Oxford, OX3 7FY

    COMPENSATION

    Grade 7: £31,076 – £38,183 per annum

    HOW TO APPLY

    To apply for this role and for further details, including the job description and selection criteria, please click on the link below:

    www.recruit.ox.ac.uk/pls/[...]27934

    DEADLINE

    The closing date for applications is 12 noon on Monday 3 April 2017.

    Submitter

    DESCRIPTION

    The INCIPIT programme (www.igb.cnr.it/incipit) aims at creating a hub of excellence in research and training in the South of Italy through synergies among the eight institutes of the National Research Council of Italy (CNR), already performing excellent research. Indeed, these institutes (IAC, IBB, IBP, ICAR, ICB, IEOS, IGB and IPCB) have different and complementary expertise, ranging from biology and genetics to mathematics, statistics, engineering, computer science, chemistry and medicine, and offer well-equipped laboratories and cutting-edge technologies.

    The Position: We seek a talented (three years) Ph.D. student to take part to the newly established computational biology and bioinformatics activities at the High Performance Computing and Networking Institute. The appointed individual will focus on the development of novel algorithms and methodologies, and their implementation in computational pipelines, for the integration and analysis of genomics sequencing data. The focus is on statistical machine learning and data mining techniques for the analysis of biological experiments, particularly on next-generation sequencing data (DNA-seq, RNA-seq, ChIP-seq, etc). The student will integrate the developed pipelines in a software support tool for more accurate diagnosis and personalised treatment plans. He/she will also be engaged in collaborative research projects within the Institute and beyond, potentially resulting in high profile publications. He/she will be encouraged to develop his/her own research interests in areas related to the Institute activities.

    The Candidate: The successful candidate holds a master degree in Mathematics, Computer Science, Computational Biology or Bioinformatics, and has a proven experience in biological data integration and analysis. Expertise in programs such as R, Python, Matlab is a requirement, and the ability to use PHP, SQL, Java, C, C++ are considered a plus. The working language at CDS-LAB is English, and excellent written and oral communication skills as well as high accuracy, reliability and excellent interpersonal and organizational skills are a requirement.

    The Laboratory:
    The aim of Computational and Data Lab is to develop algorithms, models and software tools to detect, understand and design scientific and technological solutions through the analysis of data obtained from experiments and tests, and/or through simulation of the processes generating them, dealing with new scientific challenges and multidisciplinary activities, related to ICT. Its activity is focused on the resolution of real problems with methodologies spanning from computer simulation, to scientific modelling and analysis, processing and management of complex and big data, sometimes heterogeneous, integrating knowledge domains and competences that belong to Computer Science, Applied Mathematics and Statistics.

    Fields of applications are going to be characterized by big data from different sources (numeric variables, items and values, symbolic data, texts, pictures and video, streams and multi-way data, networks, etc.). At the same time, appropriately integrating the methodologies of CDS-Lab with different knowledge domains, it is possible to yield a new and more efficient perspective to real problems analysis and interpretation of the results. Moreover, the research activity will be held in collaboration with experts of different.

    Fields of application include:
    Computational Biology: development of models to describe and predict biological phenomena
    Bioinformatics: data analysis of high throughput sequencing and spectrometry experiments
    Biotechnology: detecting new prognostic and therapeutic targets
    Video and image processing: pattern recognition and video tracking from phase contrast and fluorescence microscopy
    Computer graphics: photorealistic rendering of interesting biological molecules and of ambience and landscapes

    The Institute:
    The Institute for High Performance Computing and Networking (ICAR-CNR) offers innovative solutions in terms of research, technology transfer and high education in the area of intelligent systems with complex functionality (cognitive systems and robotics, knowledge representation, extraction and reasoning, human-computer interface, optimization) and high performance computing (cloud computing, parallel and distributed environments and advanced technologies for the Internet). Significant applications are developed in the areas of e-health, energy, security, bioinformatics, cultural heritage, smart cities.

    HOW TO APPLY

    Application should be submitted by March 31st to www.igb.cnr.it/incipit

    BACKGROUND

    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

    This newly created role, the Assistant Computational Biologist role provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies.

    This role will be in the laboratories of Dr. Kimberly Stegmaier and Dr. Scott Armstrong at the Dana-Farber Cancer Institute in the Department of Pediatric Oncology. Their research focuses on multiple pediatric cancers including leukemia and childhood solid tumors. Their goal is to integrate functional and chemical genomic and epigenomic data to develop new therapeutic approaches for cancers affecting children. Computational biologists will interact and collaborate closely with other scientists and computational biologists across the Dana-Farber Cancer Institute and the Broad Institute of Harvard and MIT with the goal of providing necessary computational support to many ongoing projects.

    RESPONSIBILITIES

    Responsibilities Include:
    • Analyze sequencing data, for example from RNAseq and CHIPseq experiments
    • Deploy existing programs and algorithms to evaluate other experimental data generated in our labs (e.g., drug synergy experiments, chemical screens, CRISPR screens)
    • Provide support for basic computational tasks in the lab
    • Document methods for reproducible analysis
    • Report data and analytical methods in oral and written formats
    • Participate in all lab meetings and department meetings at DFCI and Broad Institute

    REQUIREMENTS

    Qualifications:
    • Bachelors degree required, advanced degree preferred in bioinformatics, computer science and/or the life sciences
    • Familiarity with coding in R (or other similar languages)
    • Experience with big data
    • Experience with data summary visualization
    • Effective communication skills
    • Strong organizational techniques, including the ability to handle a variety of tasks in a fast paced environment

    PREFERENCES

    Preferred, but not required:
    • Experience in computational biology applications
    • Experience working in a scientific or medical research setting

    HOW TO APPLY

    Apply Here: www.Click2apply.net/3y2824hrp5

    PI97132137

    POLICY

    Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

    BACKGROUND

    The Wellcome Trust Sanger Institute are seeking to recruit a Senior Bioinformatician who can facilitate the scientific work of the Jones group by leading the computational data analysis support for the team and their collaborators. The group, led by Phil Jones, studies pre-cancer, how mutant cells evolve into cancers in humans and model systems (www.sanger.ac.uk/scie[...]group). We are interested in how mutant clones compete with each other and interact with the cancer promoting environment during epithelial cancer evolution in order to guide new cancer prevention therapy. Our cross disciplinary approach exploits quantitative methods to link mutation with changes in cell dynamics (see references 1-3 below). Recent work includes developing a new deep sequencing technique to reveal a high density of clonal mutations in normal human skin, basis of skin stem cell cell fate and developing new models of oesophageal cancer. The group is a mixture of experimentalists and quantitative biologists.

    1) Martincorena I, Roshan A, Gerstung M, Ellis P, Van Loo P et al. Science 2015;348; 880-6. Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin. PUBMED: 25999502; DOI: 10.1126/science.aaa6806 2) Roshan A, Murai K, Fowler J, Simons BD, Nikolaidou-Neokosmidou V and Jones PH. Human keratinocytes have two interconvertible modes of proliferation. Nature cell biology 2016;18;145-56. PUBMED: 26641719; DOI: 10.1038/ncb3282 3) Frede J, Greulich P, Nagy T, Simons BD and Jones PH. A single dividing cell population with imbalanced fate drives oesophageal tumour growth. Nature cell biology 2016;18, 967-78. PUBMED: 27548914; DOI: 10.1038/ncb3400

    RESPONSIBILITIES

    The post holder will be able to exploit extensive bioinformatics expertise within the Institute. Many of our experiments involve the generation of large quantities of genome and exome sequencing and RNAseq including single cell transcriptomics which require strong computational skills to create high quality mutation calls and carry out statistical analysis to interpret the effects of mutation. Collaborating within the team to integrate genomic analysis with other types of data to resolve the cellular and tissue effects of mutations within tissues is an important part of what we do. The post-holder must be an excellent communicator and be able to understand the scientific background and technical detail of the team's projects, and be to be proficient at devising and implementing software solutions and statistical analysis. This role would suit somebody with significant previous bioinformatics experience who wishes to gain knowledge of next-generation sequencing technologies and their application to clonal evolution, although experience with next-gen data is highly desirable. The successful candidate will work in conjunction with other computational biologists in the group and with other teams at the WTSI.

    REQUIREMENTS

    • A degree or further degree related to biology/genetics/computer science/mathematics ideally at PhD level
    • Experience of bioinformatics and familiarity with genome data
    • Evidence of proficiency in Perl/Python programming or another modern computer language
    • Strong UNIX/LINUX skills
    • Experience of researching/using/supporting external software packages
    • Ability to rapidly attain new technical skills and understanding of new technical concepts
    • A high level of communication skills to be able to elicit complex requirements from, and convey complex information to, group members with different levels of technical knowledge
    • Ability to quickly adapt to new problems and ideas
    • Ability to work unsupervised
    • Excellent problem-solving skills

    PREFERENCES

    • R and/or Matlab programming experience
    • Experience of working with biological analysis pipelines on multi-node compute clusters
    • Experience in pathway analysis software
    • Proficient in statistical analysis of genome-wide datasets

    TERMS

    Please include a covering letter and CV with your application. If you have any informal queries please contact Phil Jones pj3[at]sanger.ac.uk.

    COMPENSATION

    Salary Range: £31,498 to £39,729, plus excellent benefits.

    HOW TO APPLY

    Use the following link: jobs.sanger.ac.uk/wd/p[...]06174

    DEADLINE

    Closing date for applications: 5th April 2017 , however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.

    POLICY

    Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.
    Opportunity: Data Analyst / Bioinformatician @ CeMM -- Vienna, Austria
    Submitted by CeMM GmbH; posted on Tuesday, March 07, 2017

    DESCRIPTION

    The Kubicek laboratory and Platform Austria for Chemical Biology PLACEBO at CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, is recruiting a Data Analyst working at the interface of chemical biology and epigenetics.

    The Position: The successful applicant will systematically analyze and integrate large-scale data sets, including (epi)genomics data and chemical screening results. The data originate from our ongoing projects in chemical biology and epigenetics, as highlighted by our recent publications of the first single-cell transcriptomes from primary human pancreatic islets (Li et. al EMBO Rep. 2016), the identification of artemisinins as compounds impacting alpha cell identity (Li et al. Cell 2017), and novel functional screening for chromatin states (Sdelci et al. Nat. Chem. Biol. 2017). The goal of the position is develop an optimized data structure, build systematic analysis pipelines, and set data in context with publically available external datasets.

    The Candidate: The successful candidate hold a degree in Computational Biology (Bachelor, Master or PhD degree), and have a proven track record in data integration, analysis and statistics. Expertise in programs such as R, Python, Matlab is a requirement, and cheminformatics skills (Schroedinger, MOE, LigandScout, Pipeline Pilot) are considered a plus. The working language at CeMM is English, and excellent written and oral communication skills as well as high accuracy, reliability and excellent interpersonal and organizational skills are a requirement.

    The Laboratory: The Kubicek laboratory is working on the role of chromatin in the definition of cell types and cell states, and the use of chemistry to modulate epigenetic states. Projects focus on development of chromatin-targeting chemical probes, chromatin-modifying enzymes as synthetic lethal targets in cancer, host factors in infectious disease and transdifferentiation to insulin-producing beta cells.

    Furthermore, the laboratory hosts the Platform Austria for Chemical Biology PLACEBO, a unique chemical screening infrastructure with a collection of 90,000 small molecule compounds. In a unique automated setup, the platform conducts up to 40 high-throughput screens in collaboration with internal and external researchers. In addition, we apply proteomics, metabolomics, chemistry, mass spectrometry, bioinformatics, and next generation sequencing to address our research questions. The selected candidate will have the opportunity to work in an innovative research environment and collaborate closely with other groups at CeMM.

    The Institute: CeMM is a biomedical flagship institute in the heart of Europe, Vienna. We are committed to highest scientific standards and provide an international environment representing approximately 40 nationalities. The working language is English. CeMM has been ranked by The Scientist as one of the Best Places to Work Academia worldwide (link: goo.gl/51VMO). In the past 3 years CeMM groups published numerous ground-breaking studies in prestigious journals such as Science, Cell, Nature, New England Journal of Medicine, Nature Immunology, Immunity etc. CeMM is located within the medical campus of Vienna and operates several technology platforms (chemical biological screening, proteomics, metabolomics, next-generation sequencing) as well as extensive bioinformatics infrastructure.

    HOW TO APPLY

    Your Application: Interested candidates are encouraged to upload their application documents including a cover letter, a CV and names and contact details of at least 2 referees online (cemm.jobbase.io/job/q40xi48y). Applications will be reviewed on a rolling basis until the position is filled.

    For more information please visit the CeMM website: www.cemm.at
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