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    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 Front-End Software Engineer 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 Front-End Software Engineer 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/xd85fpcn9k

    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

    DiaTech Holdings is an emerging oncology focused biotechnology company specializing in cutting edge technologies utilizing molecular based clinical assays to generate actionable data for improved patient outcomes. We are currently focused on the MiCK (Micro Culture Kinetic assay), CEER (Collaborative Enzyme Enhanced Reactive-immunoassay), and flow cytometer technology platforms in support of our In Vitro Diagnostic (IVD) product development, FDA clinical validation studies and biopharma collaborative projects.

    Position Overview:
    This is a field based position.

    In this role, you will collaborate with multiple functional areas to make significant contributions to Diatech's research, development and clinical programs by bringing your computation expertise to bear on development and application of state of the art proteomics platforms to the creation of clinically actionable information in oncology. You will have the opportunity to work with experts in a wide range of disciplines including biology, computational sciences and translational medicine in tight knit cross-functional teams. You will be intellectually challenged and have an opportunity to participate in development of multiple predictive clinical diagnostic tests.

    RESPONSIBILITIES

    Essential Job Functions:
    • Be the point person for various computational needs that arise on pre-clinical and clinical stage projects run by cross-functional teams consisting of research biologists, instrumentation experts, biostatisticians and clinical scientists
    • In close collaboration with experimental scientists review and create experimental designs to answer complex questions related to biological, analytical and clinical parameters
    • Understand complex biological phenomena that are relevant to characterization of disease of interest. Design robust approaches to quantify biological signals that serve as inputs to predictive modeling of clinical outcomes. Present objectives, rationale and characteristics of the quantification methods to non-computational audience.
    • Design and execute data processing workflows on various projects and use your programming skills to efficiently manage these workflows
    • Understand recurring patterns for data processing steps and work with software engineers and lab scientist to create robust automation tools built into Diatech's software systems
    • Perform a variety of data analysis tasks ranging from discovering biomarkers, quantifying assay variance and developing multi-variate predictive models for clinical applications
    • Contribute to development of study protocols, statistical analysis plans and reports
    • Explore, evaluate, and implement novel approaches and data analysis methods for interpreting biological experiments and improving processes
    • Present proposals and findings within and beyond your team.

    REQUIREMENTS

    Education/Experience:
    • A PhD with strong background in computational biology, biostatistics, bioinformatics, computer science, data science or related field
    • Experience in an industrial setting is a plus
    • Knowledge of molecular and cellular biology and experience working with biological data
    • Knowledge of statistical and machine learning techniques
    • Proficiency with popular statistical packages such as R
    • Proficiency with Python
    • Understanding of database systems (e,g, Postgres)
    • Proficiency in Microsoft Office tools
    • Proficiency with Visual analytics tools like Tableau, Spotfire
    Knowledge, Skills, Abilities:
    • Must be a self-starter
    • Very strong interpersonal skills and a track record of success in team-oriented environments
    • Excellent verbal and written communication skills
    • Ability to define data-driven solutions to complex scientific problems and a strong desire to find answers in the data
    • Ability to multi-task in a fast-paced, dynamic environment.
    • Comfortable in a fast-paced small company environment with minimal direction and able to adjust workload based upon changing priorities.
    • Ability to analyze complex problems.
    • Ability to work after hours as needed.
    • Ability and willingness to travel occasionally

    LOCALE

    Offices in Nashville (Franklin), TN and San Diego, CA – This is a field based position.

    HOW TO APPLY

    Please send resume/CV to careers[at]diatech-oncology.com

    POLICY
    This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization. DiaTech Holdings Inc. is an Equal Opportunity Employer with a strong commitment to the achievement of excellence and diversity

    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.

    RESPONSIBILITIES

    Design and develop analysis systems, data visualization and web services in support of basic and translational research projects. You will design, develop and deploy new and existing systems; work closely with researchers to obtain user requirements; propose software architecture, algorithms and project plans; and perform in-depth evaluation of data and information to solve complex problems. Stay updated on new software technologies and apply them to real life biological and clinical problems. You will engage in document planning, design, and issue resolution and plan project requirements.

    REQUIREMENTS

    We are looking for an experienced and versatile Software Engineer to work within the new cBio Center at Dana-Farber Cancer Institute in the area of biological data and information tools applied to basic biological research, cancer genomics and potential clinical translation.

    Desired Skills:
    • Strong interest in contributing to biological research with clinical applications
    • Bachelor's degree or higher in computer science or related field
    • Substantial experience in software development
    • Prior involvement or interest in bioinformatics or cancer genomics domain a plus
    • Experience in frontend web development and at least one modern Javascript library / framework, e.g., Angular, JQuery, or D3
    • Experience in backend development, e.g., Python, Java, Spring, SQL, NoSQL
    • Interest in interaction design, e.g., material design, visualization of Big data
    • Cloud computing experience, e.g., AWS, Google Compute
    • Experience in modern software development technologies, including distributed versioning systems, continuous integration, and Agile programming practices
    • Ability to handle a variety of tasks, effectively solve problems with numerous and complex variables, and be able to shift priorities flexibly
    • Ability and desire to work collaboratively in a creative team
    • Excellent verbal and written communication skills

    HOW TO APPLY

    Apply Here: www.Click2apply.net/whrf3mnt9k

    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

    Pharmacyclics, an AbbVie Company, based in Sunnyvale, CA represents the single largest acquisition AbbVie has ever made, and is key to AbbVie's corporate strategy to add another very significant growth platform and diversification. Pharmacyclics will be run as a semi-autonomous, fully integrated operating unit of AbbVie, with all functions including among others Commercial, R&D and Manufacturing. The integration into AbbVie should be minimally disruptive for Pharmacyclics; hence the identity, structures and relative independence will be minimally adapted at this time. The new President of Pharmacyclics is Erik von Borcke, currently a senior executive with AbbVie who has relocated to the Sunnyvale Area and reports to the Chairman and CEO of AbbVie, Rick Gonzalez.

    General Position Summary/Purpose:
    • Help develop, maintain, and refine bioinformatics workflows and analytical tools for preclinical and clinical biomarker data analysis.
    • Practical knowledge of bioinformatics tools and resources, experience with next generation sequencing (NGS) data, various high-throughput omics analysis pipeline development, and background in genomics and molecular biology is a plus.
    • As a member of our bioinformatics group working with other research scientists and clinicians in a highly collaborative and dynamic environment to support biological discoveries, biomarker investigations and translational medicine.

    RESPONSIBILITIES

    • Working with standard bioinformatics tools, visualization packages, and omics databases/annotations resources
    • Automating, refining and implementing the processing and analysis of large data sets (especially for high dimensional integrative omics analyses), including data cleaning and harmonization
    • Helping to developing and using bioinformatics pipelines to prepare and analyze data
    • Helping in designing, developing, and maintaining databases for scientific and commercial applications
    • Analyzing and working with NGS data, ideally whole genome and exome sequence data
    • Interpreting and translating data to biological knowledge
    • Presentation in internal group meetings

    REQUIREMENTS

    Candidates will need to be highly organized, flexible and motivated. Qualified candidates will have 1) a MS degree plus at least three years of directly relevant experience in Bioinformatics, Computational Biology, Statistical Genetics/Genomics or a related discipline, 2) demonstrated fluency in UNIX/Linux computing (5+ years), 3) a proficiency in R programming (a must), familiarity with OmicSoft ArraySuite, and a scripting language such as Python is a plus (5+ years), 4) a demonstrated ability to work in a fast paced, dynamic work environment, and 5) good oral and written communication skills. The successful candidate will play a key role in the day-to-day, hands-on performance of various high dimensional data oriented tasks. Candidate must be able to work independently and as a teamworker in the group. Keeping detailed written records and good computer programming practice are essential. Prior industry experience is a plus.

    Education Requirements (degree, certifications, etc.):
    MS in Bioinformatics, Computational Biology, Statistical Genetics/Genomics, Computer Science, Statistics/Biostatistics or related field with molecular biology background and/or relevant industry experience preferred. Pharmacyclics, LLC is an EEO employer; principals need only apply.

    LOCALE

    Sunnyvale, CA

    HOW TO APPLY

    Please apply via this link: chm.tbe.taleo.net/chm0[...]=1538

    BACKGROUND

    Medical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.

    MSC is searching for a Computational Genomics Specialist to join our Bioinformatics team at NIH. This opportunity is a permanent, full-time position with MSC and it is on-site at the NIH in Rockville, MD.

    RESPONSIBILITIES

    Major Duties & Responsibilities:
    The candidate will operate in a multi-disciplinary group of scientists who provide support, training, and consultation services to the research community in the areas of bioinformatics and computational biosciences. The successful candidate for this position will be self-directed, highly collaborative and will provide leadership as a genomics expert. The successful candidate must have excellent written and verbal communication skills to interact with the research community and find the right solution for their diverse scientific computing needs. We are looking for individuals who can perform under time constraints and have great troubleshooting skills.

    The successful candidate will work cooperatively with current computational biology specialists to:
    • Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data
    • Enter into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications
    • Gather detailed requirements from stakeholders and identify existing tools to perform the novel analyses or develop algorithms/tools to perform the analysis
    • Document and manage collaborative and consultant assistance and training provided to researchers
    • Provide on-site, on-demand support and troubleshooting to researchers in the use of computational biology software
    • Research, design, and deliver training materials, courses, presentations, and workshops to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers
    • Remain abreast on current and emerging computational biology technologies and tools
    • Partner with software developers to integrate genomic software solutions within enterprise platforms

    REQUIREMENTS

    Required Technical Skills:
    • Ph.D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications
    • Good understanding of genomics, molecular biology, and technologies such as PCR and next-generation sequencing
    • Demonstrated proficiency in the analysis of large-scale genomic sequencing data (especially variant analysis from whole genome or whole exome sequencing data, but also RNA-seq, genome assembly) and experience with a broad spectrum of relevant open-source software or pipelines (BWA, TopHat, STAR, GATK, SnpEff, VEP, DESeq, etc.)
    • Experience working with relevant genomic databases and browsers and their annotations (NCBI, Refseq, Ensembl, ClinVar, HGMD, IGV, UCSC Genome Browser)
    • Proficiency in the use of UNIX/Linux and its command-line environment, including scripting (shell, Perl, Python, Ruby, Tcl/Tk, etc.)
    • Experience with a high-performance parallel computing environment (e.g., SGE, PBS)
    • Familiarity with common methods of statistical analysis using R, SAS, or related software
    • Strong interpersonal, presentation, written, and oral communication skills to convey computational biology principles and concepts to non-specialists in a clear and precise manner and advise on relevant software and tools with a dedication to customer satisfaction
    • Ability to work independently or as part of a multi-disciplinary team
    • Excellent troubleshooting and problem-solving skills, including the ability to learn new software quickly
    • Ability to concurrently work on multiple complex projects with effective time management skills, a high level of personal and professional drive and initiative, and attention to detail

    PREFERENCES

    Additional Desired Skills and Experience:
    • Experience with genomic diagnosis of rare diseases and filtering variants using family-based genetic models (e.g., autosomal recessive/dominant, compound heterozygous, etc.), including experience with relevant related tools for finding disease-causing variants (e.g. VAAST/pVAAST, GEMINI)
    • Experience with structural variation analysis from next-generation sequencing data
    • Experience constructing pipelines in open architecture platforms (especially GATK-Queue, but also Snakemake, Bpipe, others), including end-to-end tasks for NGS analysis tools
    • Familiarity with algorithms and algorithm development for bioinformatics, including composing, editing, and compiling open-source code
    • Familiarity with problems and bottlenecks associated with storage and management of genomic-scale data
    • Familiarity with the use of open-source bioinformatics applications employing ontologies, pathways, and/or networks, at both the individual gene and genomic scales
    • Strong background in molecular/cellular biology, immunology, and/or virology, including "bench" experience
    • Ability to propose and develop new methodologies for analyzing biomedical data

    HOW TO APPLY

    To apply, please send cover letter and resume to elisa[at]mscweb.com.

    POLICY

    Medical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

    DESCRIPTION

    On a new project funded by the European Research Council (ERC) we are recruiting a postdoc interested in single-cell sequencing technologies and/or bioinformatic algorithms for dissecting cancer heterogeneity.

    Our group is part of the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna. It combines a strong focus on biomedical technology (epigenomics, single-cell sequencing, drug screening, mass spectrometry, imaging, etc.) with a deep interest in computational modeling. We are also working closely with physicians at the Vienna General Hospital and the Medical University of Vienna, in order to advance precision medicine through the use of computation and high-throughput technology.
    The Project

    Cancer is the most heterogeneous of all diseases – a microcosm of tightly interlinked evolutionary and developmental processes. We want to understand this complexity at the level of single cells – including the cancer cells competing with each other for resources, but also the microenvironment that supports the cancer and the immune cells that try to fit the cancer. Using a combination of single-cell genome, epigenome, and transcriptome sequencing and computational modeling, we seek to establish a full evolutionary map of the dynamics underlying cancer development. Moreover, we pursue an engineering-inspired "build it to understand it" approach to cancer epigenetics, using CRISPR technology and computationally designed drug combinations to rationally reprogram normal cells into cancer cells and vice versa. This project seeks to establish a quantitative understanding of cancer heterogeneity and a predictive model for advancing precision therapies.

    The Candidate:
    We are looking for highly motivated and academically outstanding candidates who want to pursue a scientific career in the field of computational and medical epigenomics. A strong candidate may have a background in the computational sciences (bioinformatics, statistics, physics, engineering, etc.) and some prior experience with collaborative research in high-throughput biology. In the same way, we are considering applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing systems medicine projects. We are fully equipped and experienced with both computational and wet-lab work, such that it is an option – but by no means mandatory – to build a unique skill set by combining and fully integrating these two approaches through own work and collaborations.

    The Lab:
    (www.medical-epigenomics.org)

    The Medical Epigenomics Lab at CeMM pursues an interdisciplinary and highly collaborative research program aimed at understanding the cancer epigenome and establishing its utility for precision medicine. The lab is internationally well-connected and active in several fields:
    • Epigenomics. We perform large-scale epigenome mapping in order to dissect the dynamics of cancer development and emerging drug resistance. This work is part of the European BLUEPRINT project and the International Human Epigenome Consortium.
    • Technology. Exciting biomedical research is often driven by new technologies. Our lab is therefore heavily invested into technology development, including single-cell protocols, nanopore sequencing, CRISPR, and epigenome editing.
    • Bioinformatics. New algorithms and advanced computational methods allow us to accurately infer epigenetic cell states from large-scale datasets, in order to reconstruct the epigenetic landscape that controls cellular differentiation and reprogramming.
    • Diagnostics. Using large-scale DNA methylation mapping, bioinformatic prioritization, and functional characterization, we strive to develop clinically relevant biomarkers for informing personalized cancer therapy.
    The Principal Investigator:
    (scholar.google.com/cita[...]AAAAJ)

    Christoph Bock is a principal investigator at CeMM, guest professor at the Medical University of Vienna, scientific coordinator of Vienna's Biomedical Sequencing Facility, and adjunct group leader at the Max Planck Institute for Informatics. Previous appointments include the Max Planck Institute for Informatics (PhD studies) and the Broad Institute of MIT and Harvard (postdoctoral research). CB is a 2009 recipient of the Otto Hahn Medal by the Max Planck Society for pioneering work in computational epigenetics, and he recently received two major career development grants – a New Frontier Group award by the Austrian Academy of Sciences (EUR 1.4 million) and an ERC Starting Grant by the European Research Council (EUR 1.3 million). CB leads Genom Austria, which is the Austrian contribution to the International Network of Personal Genome Projects, and he is a member of several European and global initiatives on epigenetics & precision medicine.

    The Institute:
    (www.cemm.at)

    CeMM is an international research institute of the Austrian Academy of Sciences. Driven by medical needs, CeMM integrates basic research and medical expertise to pursue innovative approaches focused on cancer, inflammation, and immune disorders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna's historical city center. A study by "The Scientist" placed CeMM among the top-5 best places to work in academia world-wide (the-scientist.com/2012[...]-2012). Vienna is frequently ranked the world's best city to live. It is a United Nations city with a large English-speaking community. The official language at CeMM is English, and more than 30 different nationalities are represented at the institute. CeMM is an equal opportunity employer.

    HOW TO APPLY

    Applicants should please apply online (prescreen.io/j/0wzehooj) and submit cover letter, CV, academic transcripts, and contact details of three referees.

    Applications will be reviewed on a rolling basis, and any application received by 15 August 2016 will be considered. Start dates are very flexible.

    DESCRIPTION

    Postdoctoral associate position available for an outstanding candidate in bioinformatics/computational biology in the laboratory of Dr. Michael Krauthammer at the Yale University School of Medicine. The candidate will work with Next Generation Sequencing (NGS) data for uncovering cancer driver genes, by developing cutting edge analysis routines for integrating diverse Omics measurement across cancer samples. With a special focus on skin cancer, our team is working in close collaborations with molecular biologists, pharmacologists and physicians to translate bioinformatics findings into tangible benefits for patients, such as the development of diagnostic, prognostic or predicative biomarkers. This job is suited for a computationally minded person that would like to get more exposure to the medical field, and would like to make a difference by providing actionable hypotheses about the molecular processes underlying cancer. Applicants are expected to have knowledge of R, Python/Perl, and are familiar with Linux/Unix, and a web development environment.  

    HOW TO APPLY

    Please contact Michael Krauthammer, michael.krauthammer[at]yale.edu, and visit krauthammer.med.yale.edu for more information.

    BACKGROUND

    The International Center for Tropical Agriculture (www.ciat.cgiar.org) works to reduce hunger and poverty, and improve human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture. CIAT is a member of the CGIAR Consortium (www.cgiar.org), a global partnership that unites organizations engaged in research for a food secure future. The Center's research focuses on increasing productivity of key crops (cassava, common bean, rice, and tropical forages), reversing soil and land degradation, and using information to foster better decisions about issues such as climate change and environmental management. Headquartered near Cali, Colombia, CIAT has regional offices in Nairobi, Kenya, and Hanoi, Vietnam, with staff posted in other developing countries as well.

    The Position:
    CIAT is seeking applications for a Researcher in Bioinformatics. The position offers an outstanding career opportunity for a researcher interested in plant genomics in the context of international agriculture. The researcher will be part of a multidisciplinary team working on genetic improvement of beans, cassava, forage grass species and rice. The position will be based at CIAT Headquarters in Palmira, Colombia.

    RESPONSIBILITIES

    • Analyze Whole Genome Sequencing and Genotyping by Sequencing data for CIAT's crops: bean, Brachiaria, cassava and rice
    • Implement annotation pipelines to establish linkages between sequence annotation data and phenotypic characterization
    • Implement and organize data mining for bean, Brachiaria, cassava and rice
    • Develop bioinformatics tools to detect sequence-based genetic markers
    • Develop pipelines for the assembly/alignment of next generation sequencing data, variant detection and annotation
    • Supervise assistants and students in bioinformatics
    • Contribute to the design of CIAT scientific program and Big Data strategy
    • Publish results in journals and at conferences
    • Develop internal and external collaborations
    • Develop projects and apply for funding
    • The researcher will be expected to work with data from different sequencing and genotyping platforms including Sanger, Illumina, PacBio, Fluidigm and BeadXpress. The position is part of an interdisciplinary team which includes plant breeders, geneticists, physiologists, entomologists and pathologists.

    REQUIREMENTS

    • Ph.D. in the field of bioinformatics, computational biology or a similar discipline
    • Experience in computer programming is essential. Knowledge of Perl, Python, Java, C languages. Knowledge of R language
    • Experience in developing and deploying bioinformatics software is essential
    • Experience with plant genomics is desirable
    • Experience with phylogenetics software is also desirable
    • Must be prepared to travel internationally
    • Excellent communication skills in written & spoken English, and the ability to speak Spanish is desirable
    Role Competencies:
    • Goal-oriented
    • Dynamic, forward thinking and creative with high ethical standards
    • A strategic planner with sound analytical ability and good judgement
    • Demonstrates facilitating skills and influencing skills
    • A team player with excellent interpersonal and communication skills, with the ability to effectively interact with people at all levels in a multi-cultural and multidisciplinary environment
    • Values the sharing of information and continuous improvement in a cooperative atmosphere of constructive evaluation and learning, and is committed to staff's development

    TERMS

    The position is internationally recruited and will be based at Palmira, Colombia and reporting directly to Agrobiodiversity Research Area Director. The initial contract will be for up to two (2) years, subject to a probation period of six (6) months, and is renewable depending on performance and availability of resources.

    HOW TO APPLY

    Applicants are invited to send a cover letter illustrating their suitability for the above position against the listed qualifications, competencies, skills together with a detailed curriculum vitae, including names and addresses of three referees knowledgeable about the candidate's professional qualifications and work experience. All correspondence should be addressed to the CIAT Human Resources Office to Andrea Linares (z.a.linares[at]cgiar.org) and should clearly indicate "Bioinformatics Scientist".

    POLICY

    CIAT offers a multicultural, collegial research environment with competitive salary and excellent benefits. CIAT is an equal opportunity employer, and strives for staff diversity in gender and nationality. Woman candidates from Latin America, Africa and Asia are particularly encouraged to apply.

    DESCRIPTION

    The Superti-Furga laboratory is contributing to the scientific fundaments of precision medicine. We are looking for postdoctoral fellows to work on a modern systems-level understanding of the effect of drugs in cancer, immunity and metabolism. The work is meant to pioneer elucidation of the concerted action of membrane transporters and intermediate metabolism genome-wide.

    The laboratory is in a highly productive mode, generating functionally significant data on drug and metabolite relationships to genes and proteins at a high rate. The overall goal is to pioneer innovative therapeutic and diagnostic initiatives in cancer, inflammation/infection and metabolic disorders. This could involve, for example, elucidating the role of the immune system response in either 1) driving, or 2) yielding cancer progression, furthering the understanding of the immune system role in fighting cancer using biologics, use immunomodulation as a function to decipher clinical response to therapeutics for personalized medicine, use focused and genome-wide CRISPR/Cas9-based functional genomic screens to study the role of transporters and metabolic pathways in drug transport/activity and cancer or integrate diverse datasets (genetic, genomic, proteomic, metabolomic and drug screen data) to uncover potentially novel regulatory principles and mechanisms involved in cancer, immunity and metabolism.

    The postdoc candidates are creative scientists able to seize the opportunity to create, navigate, integrate, visualize and interpret original data in innovative ways. She/he is eager to team up with experimental scientists in the laboratory and project-lead data generation campaigns.

    We are looking for individuals with two different kind of profiles:

    A) Postdoc Computational Science/Systems Biology/ Chemoinformatics (code: #PD GSF-CS)

    Requirements:
    A recent successful PhD in computer science, chemistry or biology and significant experience in computational analysis. Interest in complex data integration and innovative data visualization. Excellent communication skills and social skills are absolutely required.

    B) Postdoc Molecular Biology/Biochemistry/Systems Biology (code: #PD GSF-BL)

    Requirements:
    A recent successful PhD in biology, chemistry or an MD degree and significant experience in modern experimental biomedical research. Experience with functional genomics or biochemical/pharmacological analysis of transporters is desirable but not a must. Excellent communication skills and social skills are absolutely required.
    The Laboratory

    The Superti-Furga laboratory consists of a highly collaborative team of 22 scientists from 11 nations. In the last three years, we published about 70 papers, among which 10% in Nature, Science or Cell and 15 in Nature sister journals. Historically, 23 postdocs published on average 9,5 papers within our lab (0-25) that were on average cited 686 times. More than 50% of postdocs went on to independent positions, two went to work as clinicians. None abandoned research. You will enjoy a supportive mentoring from the PI and profit from a budding Postdoc training program both at CeMM, with the other life science institutes in Vienna and, internationally, within the highly active and unique network of excellence of the 13 EU-Life institutes: eu-life.eu. Please visit our lab's website: www.superti-furga-lab.at

    References:
    Köberlin MS, Snijder B, et al. Cell. 2015 Jul 2;162(1):170-83.
    César-Razquin A, et al. Cell. 2015 Jul 30;162(3):478-87.
    Rebsamen M, et al. Nature. 2015 Mar 26;519(7544):477-81.
    Huber KV, et al. Nature. 2014 Apr 10;508(7495):222-7.
    Blomen VA, et al. Science, 2015 Nov 27;350(6264):1092-6.

    COMPENSATION

    We offer a great working environment for passionate scientists and a generous employee benefits package.

    ABOUT US

    CeMM is a flagship institute for biomedical research in the heart of Europe, Vienna. CeMM is committed to highest scientific standards as exemplified by recent publications in top journals as well as by its top international scientific advisory board. The environment is very collaborative, dynamic and international. One of CeMM`s advantages is to be in close proximity to the Vienna Medical University Campus and the General Hospital (AKH). This allows the fruitful interaction of basic scientists with clinicians, and the use of models and cutting-edge technology to disease-relevant biological questions. According to a study by The Scientist, CeMM is ranked as the best European place to work in Academia 2012, internationally CeMM appears at the fourth place.

    HOW TO APPLY

    Please click on the link below to apply online:
    A) for reference code #PD GSF-CS: prescreen.io/j/u8xc38fj
    B) for reference code #PD GSF-BL: prescreen.io/j/syexzy5r

    DEADLINE

    Closing date for applications: July 24th, 2016

    POLICY

    At CeMM we are committed to increasing the percentage of female scientists working in life sciences, and thus we strongly encourage female applicants.

    BACKGROUND

    The Fred Hutchinson Cancer Research Center in Seattle, WA has a 2 year postdoctoral position available through the Cancer Prevention Department. The fellowship is under the direction of Dr. Polly Newcomb within the Division of Public Health Sciences. Dr. Newcomb is a leading epidemiologist in the fields of cancer genetics, etiology, screening, and survival. Her research program investigates the causes, treatments, and outcomes of colon cancer using large, population-based studies, clinical trials, and collaboration with local medical centers. Most recently, she has focused on germline and genetics of colorectal neoplasms in sporadic and familial disease in relation to risk and clinical outcomes. The postdoctoral fellow will have access to epidemiologic, genetic (including germline GWAS) and molecular data, large cancer cohort and clinical trial resources, biospecimens, and several other consortium data, available for cutting-edge hypothesis testing and team collaborations. There are opportunities to work on existing projects and to develop new projects addressing relevant research topics. Responsibilities include assisting with genetic and epidemiologic studies, including data collection, directing laboratory analyses, developing collaborations with other researchers, applying new statistical methods under the guidance of senior biostatisticians and epidemiologists, preparing manuscripts, and developing grant proposals.

    Fred Hutch provides a highly interactive and supportive environment for junior investigators to grow and develop their future career; it consistently ranks in the top 20 best places to work for postdocs, as surveyed by The Scientist.

    REQUIREMENTS

    Successful applicants will have the following:
    • A doctoral degree (MD or PhD) in Epidemiology or related field
    • A strong background in epidemiology and biology
    • Interest in the investigation of novel areas of cancer genetics and survival

    LOCALE

    Seattle, WA

    COMPENSATION

    DOE

    HOW TO APPLY

    Please visit www.fredhutch.org/job/7181.

    Please include a cover letter detailing your research interest and suitability for this position with your application.

    BACKGROUND

    Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch's pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation's first and largest cancer prevention research program, as well as the clinical coordinating center of the Women's Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

    RESPONSIBILITIES

    We are seeking a post‚Äźdoctoral candidate for statistical methods in transmission analysis for acute and emerging infectious diseases is available. The research will develop new methods for analysis of household transmission studies and evaluation of vaccine effects. The position is available in the research group of Professor M. Elizabeth Halloran at Fred Hutchinson Cancer Research Center in Seattle, WA.

    The research may involve integration of genomic data into the epidemiologic analyses and/or the use of network data to estimate transmission parameters and effects of vaccines in populations. The research will demand considerable intellectual independence and creativity.

    REQUIREMENTS

    The successful candidate should have a PhD in statistics, biostatistics, computer science, or some related field. The successful candidate should have advanced computational skills. The successful candidate should have excellent writing skills in English and the ability to communicate with diverse colleagues. The position is available immediately.

    LOCALE

    Seattle, WA

    COMPENSATION

    DOE

    HOW TO APPLY

    Please visit www.fredhutch.org/job/7781

    BACKGROUND

    Postdoctoral Research Fellow in Novel Vaccine Trial Design and Causal Inference

    The Fred Hutchinson Cancer Research Center, Vaccine and infectious Disease Division in Seattle, WA, is recruiting for a post-doctoral fellow. The post-doctoral fellow will work in the group of The Center for Statistics and Quantitative Infectious Diseases under the supervision of Professor M. Elizabeth Halloran. The fellow will conduct methodological research in novel vaccine trial designs and causal inference. We are particularly interested in problems related to causal inference with interference and methods for estimating indirect/ spillover effects. The vaccine trials might be cluster-randomized studies or household based studies with the intent to estimate complex effects of vaccination in population. Other applications besides vaccine trials may also be of interest. Background in network theory might be helpful, but is not necessary. The research may also include developing methods for studying how vaccination selects for different variants of infectious agents.The position is available immediately and will remain open until filled. This position could be available for two to three years, depending on satisfactory completion of the first year. Pay will be commensurate with experience and general level of salary for postdoctoral fellows.

    REQUIREMENTS

    Successful candidates will have the following:
    • PhD in Statistics, Biostatistics, Computational Biology or a related quantitative field
    • Background in quantitative methods in infectious diseases

    LOCALE

    Seattle, WA

    COMPENSATION

    DOE

    HOW TO APPLY

    Please visit fredhutch.org/job/7642.

    Please include contact information for 3 professional references with your application.

    BACKGROUND

    Organization Summary:
    Public Health Ontario (PHO) is a Crown corporation dedicated to protecting and promoting the health of all Ontarians and reducing inequities in health. As a hub organization, PHO links public health practitioners, front-line health workers and researchers to the best scientific intelligence and knowledge from around the world.

    PHO provides expert scientific and technical support relating to infection prevention and control; surveillance and epidemiology; health promotion, chronic disease and injury prevention; environmental and occupational health; health emergency preparedness; and public health laboratory services to support health providers, the public health system and partner ministries in making informed decisions and taking informed action to improve the health and security of Ontarians. For more information about PHO, visit www.publichealthontario.ca.

    RESPONSIBILITIES

    Position Summary:
    To provide scientific oversight and strategic leadership for the applied microbial bioinformatics program at Public Health Ontario, and to set the standards and provide leadership for the development and application of bioinformatics in clinical public health microbiology programs and applied public health research.

    Key Responsibilities:
    • Supports the implementation of leading-edge, sophisticated bioinformatics research program within PHO's laboratory to support disease diagnosis, prevention and treatment of infections and disease of public health relevance
    • Provides scientific oversight, expert advice and support for the translation and implementation of highly specialized, complex and integrated bioinformatics for genomic and public health epidemiology, detection and real time analysis of outbreaks of public health importance, identification of emerging pathogens through the development of a pathogen discovery pipeline, antimicrobial resistance prediction, and other sequence-based analytics for diagnostic, research and public health purposes
    • Ensures rigorous scientific methodology guides all decision making in the development and implementation of bioinformatics capacity, pipelines and tools as it relates to lab methodologies and research activities
    • Recommends improvements in bioinformatics methods, equipment and new testing technology, and introduces advanced approaches & protocols for bioinformatics analysis for diagnostic and public health laboratory response when required
    • Provides technical guidance and professional expertise in proposing laboratory guidelines, procedures and evaluation criteria that apply to bioinformatics applications
    • Assesses existing and proposed laboratory procedures, standards, policies and plans as it relates to bioinformatics capacity and deliverables
    • Acts as a PHOL resident expert on bioinformatics services. Prepares detailed, well-focused technical reports, laboratory manuals and scientific papers for approval by management and/or scientific staff
    • Develops & provides oversight for educational capacity and programs for bioinformatics at Public Health Ontario in collaboration with the Director of Laboratory Information and Research Operations, the Director of Informatics, the Computational Biologist, and other bioinformatics personnel lending expertise where needed in building strategy and delivery of high quality informatics tools, research and education
    • Works closely with Information Technology to align business needs with planning, prioritization and delivery of the bioinformatics program
    • Provides consultation and specialized advisory services to PHO's officials, regional staff, physicians, other health care providers, physicians, hospital and private laboratories, medical and clinical microbiologists, Medical Officers of Health, health units and regional laboratories, on the application of methodologies, the interpretation of laboratory results/analyses, the identification of organisms and the interpretation of laboratory results. Identifies matters of potential public health importance e.g. unusual or emerging pathogens and informs the supervisor. Responds to sudden events and circumstances
    • Develops an independently funded research program, and maintain a scholarly portfolio by authoring peer-review publications, presenting papers at conferences, and giving seminars
    • Facilitates and collaborates on research projects with provincial, national, and international organizations, universities, and other academic centres
    • Represents PHO at internal and external meetings, on task forces and advisory committees, and build linkages with University and College academic health science centres
    • Supports the Chief, Medical Microbiology, the Deputy Chief, Research, the CLOO and other Directors of Operations in the management of emergency and exigent situations. Identify matters of potential public health importance e.g. unusual or emerging pathogens and informs the Medical Director and or other members of the senior leadership team as appropriate. Respond to sudden events and circumstances
    • Demonstrates and support the core values of PHO thereby ensuring that the goals, objectives and strategic priorities of PHO are met

    REQUIREMENTS

    Knowledge and Skills:
    • Knowledge of and experience with algorithms and programs for DNA sequence analysis, gene prediction, genome annotation, identification of sequence polymorphisms (SNP) analysis, and construction of phylogenetic trees, analysis of genome assembly and realignment, in consultation with medical and scientific staff
    • Knowledge of and implementation experience with use of relational databases of important biological sequence databases and database formats, and how to retrieve information from these databases and skills in designing and implementing bioinformatics software programs, databases, web sites and data sets
    • Experience, proficiency and knowledge in Unix/Linux operating system environments; programming/scripting in bioinformatics applications in Perl, Java, C/C++, Python and SQL
    • Knowledge and experience integrating and analyzing large datasets including genomic data, or other big data initiatives
    • Eligible for (or currently holding) an academic appointment (assistant professor status or higher) at an Ontario University within a relevant academic discipline and capable of the clinical and academic supervision of graduate and other students.
    • Demonstrated ability to design, plan, execute, and troubleshoot an independent research program
    • Demonstrated experience working in a public health laboratory, academic laboratory or equivalent collaborative research environment
    • Demonstrated experience with establishing microbial genomics analyses and program development
    • Demonstrated experience with the development, validation and implementation of bioinformatics for application purposes
    Education and Experience:
    • PhD from a recognized educational institution, and post-doctoral training in bioinformatics, computational biology or equivalent health sciences discipline
    Your cover letter and resume must clearly indicate how you meet the qualifications and competencies of the position.

    TERMS

    Duration: Permanent Full Time
    Reports to: Chief, Medical Microbiology

    LOCALE

    Location: 661 University Avenue, Toronto
    Department: Toronto Public Health Laboratory

    HOW TO APPLY

    If you are interested in applying to this position, please go to www.publichealthontario.ca/en/A[...].aspx and click on "View Our Current Job Opportunities" and then click on the job title. You should receive a response to your job application.

    Thank you for your interest in this position, however, only qualified candidates will be contacted for an interview. Please continue to view our website for new career opportunities with the Public Health Ontario.

    Job ID: 16-0208
    Position Title: Bioinformatics Scientist
    Competition Status: OPEN
    Posting Date: June 21, 2016

    DEADLINE

    Closing Date: July 6, 2016

    BACKGROUND

    The Plant Computational Genomics laboratory at University of Connecticut (Storrs, CT) has an opening for a database and software developer position as part of a collaborative project involving researchers from all of the world. This person will take a lead role in the continued development of the TreeGenes database and the CartograTree application (treegenesdb.org and cartogratree.org). These resources serve vast amounts of genomic, phenotypic, and environmental data to the user community. In addition, we are committed to providing greater collaboration and data sharing among partner databases through Galaxy modules, and new analysis/visualization platforms.

    URL: compgenomics.lab.uconn.edu

    RESPONSIBILITIES

    The successful candidate will work as part of a small interdisciplinary team of bioinformaticians and data curators. Tasks will include maintenance of the existing database, developing connections to collaborating databases, improving the user experience (interface development) and the implementation of novel analysis and visualization tools. The Postdoctoral Scholar will be provided with training opportunities and will attend conferences to present/train users on these new tools. In addition, publications on specific software products will result.

    REQUIREMENTS

    The qualified applicant will have a PhD degree in Bioinformatics, Information Systems, Computer Science, or a related field. Biology/Bioinformatics experience is essential as well as previous experience with web/database development. The applicant should have strong knowledge of Java (Struts/JSP) and JavaScript (jQuery). Experience with Linux/Unix, scripting languages (Python), and relational databases (PostgreSQL).

    TERMS

    Full-time
    Start Date: ASAP

    LOCALE

    University of Connecticut, Storrs, CT, USA

    HOW TO APPLY

    Please send the following THREE documents: cover letter, research statement, and CV to: jill.wegrzyn[at]uconn.edu

    DEADLINE

    Applications will be accepted until July 31st or 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 Senior Bioinformatics Engineer to lead the development of multiple open source data mining and analytics platforms for precision (or "personalized") cancer medicine.

    If you:
    • dream of big data
    • enjoy building big, complex software systems
    • thrive working within a creative team of scientists and engineers
    • want to contribute to open source,
    • want to use your skills to make a positive impact on cancer care, and
    • want to take a leadership role at the ground floor of multiple new initiatives.
    ... we want to talk with you.

    The Senior Bioinformatics Engineers an exceptional candidate who has both deep bioinformatics experience and extensive software architecture experience. We operate at the crossroads of cancer genomics, software, and data science and are looking for that rare individual who has experience and passion for all three. Our platforms are focused on mining of cancer genomic data sets, understanding resistance to targeted therapy, matching genomic profiles to clinical trials, and identifying exceptional responders to targeted therapy. Technical and scientific challenges for the platform include data mining and visualization of large-scale cancer genomic data sets, extracting information from natural language text and building web-based data analytics platforms.

    For additional background regarding the Knowledge Systems Group at DFCI, please see: bcb.dfci.harvard.edu/knowledge-systems/

    REQUIREMENTS

    Required skills:
    • Bachelor's degree, Masters Degree or Ph.D. in Computer Science, Bioinformatics, Computational Biology or a related field
    • 5+ years of bioinformatics software engineering experience, preferably in the cancer genomics space
    • Expert knowledge of Java and Spring
    • 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
    • Data science expertise, including statistical analysis and data mining

    PREFERENCES

    Desirable skills:
    Any of the following would be significant plusses: NoSQL database experience, especially MongoDB. Cloud computing, e.g. Amazon, Google Compute, or Digital Ocean. Any cloud devop framework experience, such as Chef, Puppet or Ansible. Natural language processing and/or handling of cancer genomics data sets, especially those generated by The Cancer Genome Atlas (TCGA) project. User interaction design and data visualization. Experienced knowledge of Javascript and any modern Javascript library, such as JQuery, Angular or D3.

    HOW TO APPLY

    Apply Here: www.Click2apply.net/hpcvr57jp8

    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.
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