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    BACKGROUND

    The Knowledge Systems Group at Dana-Farber Cancer Institute seeks a Senior Bioinformatics Engineer / Chief Data Architect to help build new open-source software and data mining platforms for precision cancer medicine.

    RESPONSIBILITIES

    The Senior Bioinformatics Engineer / Chief Data Architect is an exceptional candidate who has both bioinformatics experience and extensive software engineering experience. We operate at the crossroads of cancer genomics and software, and are looking for that rare individual who has experience and passion for both.

    Our group focuses on mining of cancer genomic data sets, sharing data across cancer centers and cancer networks, and the clinical application of next-generation sequencing. We were also recently awarded a five year grant to build a new NCI Cancer Immuno-Data Commons (CIDC), and this role will serve as the Chief Data Architect of the CIDC. Specific technical and scientific challenges for this position include large-scale cloud computing, software architecture and design, data mining, data visualization, developing bioinformatics workflows, and immuno-genomics.

    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.

    REQUIREMENTS

    • Design and develop software, databases and interfaces for analyzing and manipulating genomic data.
    • Design and develop cloud-based bioinformatic workflows, e.g. for whole exome sequencing and RNASeq data.
    • Design and develop Application Programming Interfaces (APIs), microservices, and asynchronous queuing systems.
    • Orchestrate cloud-based services via modern devops frameworks.
    • Develop new Python software modules, developed via best practices, including unit testing, automated build processes and code reviews.
    Required skills:
    • Bachelor's degree, Master's Degree or Ph.D. in Computer Science, Bioinformatics, Computational Biology or a related field.
    • 6+ years of software engineering experience, preferably in the bioinformatics or cancer genomics space.
    • Expert knowledge of Python.
    • Expert knowledge of cloud computing and cloud-based dev ops.
    • 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.

    Desirable skills: Any of the following would be significant plusses: Experienced knowledge of Pandas and scikit-learn; NoSQL database experience, especially MongoDB. Handling of cancer genomics data sets, especially those generated by The Cancer Genome Atlas (TCGA) project. User interaction design and data visualization.

    HOW TO APPLY

    Email a short description of your interest with your resume / CV directly to: Ethan Cerami: cerami AT jimmy.harvard.edu. Please also include a link to your recent code, e.g. hosted on github.

    Check out our web site at: bcb.dfci.harvard.edu/knowledge-systems/

    Apply Here: www.Click2apply.net/xvhy2543xjh9xkv5

    PI99879565

    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

    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.

    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.

    RESPONSIBILITIES

    The Work:
    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

    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/sjd9tft2nqyd2xkf

    PI99879717

    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.

    RESPONSIBILITIES

    We seek a postdoctoral fellow to develop novel integrative approaches for the identification of molecular predictors of response to approved and experimental drugs for breast and brain cancers. We have generated high-dimensional molecular (mutations, copy number variations, transcriptomics, epigenomics) and pharmacological (drug sensitivity) profiles of a large panel of breast and brain cancer cell lines. A well established patient-derived xenograft platform provides a unique opportunity to explore the biology underlying drug response, and develop predictors that can be validated in vivo before their use in clinical trials.

    REQUIREMENTS

    Doctorate in computational biology, computer science, engineering, statistics, applied mathematics, or physics. Published/submitted papers in cancer genomics and/or machine learning research. Experience with analysis of high-throughput omics data, such as next-generation sequencing and gene expression microarrays, in cancer research. Very strong expertise in programming and machine learning (R, C/C++, Python and Unix programming environments).

    PREFERENCES

    Hands-on experience in high performance computing, especially for parallelizing code in C/C++ (openMP) and/or R in a cluster environment (e.g., Sun Grid Engine/Torque).

    ABOUT US

    Team:
    The candidate will work in a large multidisciplinary team of 8 laboratories from the Princess Margaret Cancer Centre as part of Terry Fox New Frontiers Research Project:
    Benjamin Haibe-Kains: www.pmgenomics.ca/bhklab/
    Cheryl Arrowsmith: nmr.uhnres.utoronto.ca/arrowsmith/
    David Cescon: www.uhnresearch.ca/rese[...]escon
    Lillian Siu: www.uhnresearch.ca/rese[...]l-siu
    Linda Penn: pennlab.ca
    Mathieu Lupien: www.pmgenomics.ca/lupienlab/
    Pamela Ohashi: www.immunology.utoronto.ca/cont[...]hashi
    Trevor Pugh: medbio.utoronto.ca/faculty/pugh.html

    Dr. Haibe-Kains' lab will host the candidate. Dr. Haibe-Kains has over 10 years of experience in computational analysis of genomic and transcriptomic data, in the context of translational research. He is the (co-)author of more than 120 peer-reviewed articles in top bioinformatics and clinical journals. For an exhaustive list of publications, go to Dr. Haibe-Kains' Google Scholar Profile.

    Princess Margaret Cancer Centre:
    The Princess Margaret Cancer Centre (PM) is one of the top 5 cancer centres in the world. PM is a teaching hospital within the University Health Network and affiliated with the University of Toronto, with the largest cancer research program in Canada. This rich working environment provides ample opportunities for collaboration and scientific exchange with a large community of clinical, genomics, computational biology, and machine learning groups at the University of Toronto and associated institutions, such as the Ontario Institute of Cancer Research, Hospital for Sick Children and Donnelly Centre.

    HOW TO APPLY

    Submit a CV, a copy of your most relevant paper, and the names, email addresses, and phone numbers of three references to benjamin.haibe.kains[at]utoronto.ca. The subject line of your email should start with "POSTDOC PRED2 – BHKLAB". All documents should be provided in PDF.

    DEADLINE

    Applications must be submitted before Dec 1st 2017.

    BACKGROUND

    Zymeworks is a clinical-stage biopharmaceutical company dedicated to the discovery, development and commercialization of next-generation bispecific and multifunctional biotherapeutics, initially focused on the treatment of cancer. Zymeworks' suite of complementary therapeutic platforms and its fully-integrated drug development engine provide the flexibility and compatibility to precisely engineer and develop highly-differentiated product candidates.

    About the Position:
    We are seeking a Scientist to join the Technology Integration & Bioinformatics (TI&B) group, a team of scientists with diverse backgrounds from the computational and biological sciences. Scientists in the TI&B group work closely with the Software and Modeling & Simulation groups to advance our in-house technology platforms for biologics optimization including protein and antibody engineering. In addition, members of the TI&B group work with Scientists in the R&D departments assisting in bioinformatics projects and implementing methods for data analysis and interpretation. The ideal candidate will have a strong background in the implementation of bioinformatics methods, algorithm development, as well as experience in analyzing experimental data.

    The position reports to the Lead of the Technology Integration & Bioinformatics group and will be based in Vancouver, BC.

    RESPONSIBILITIES

    • Assists the team with the research, development and implementation of bioinformatics tools, and algorithms that facilitate the analysis of experimental and in-silico data
    • Designs, conducts and/or validates statistical analysis of in vitro and in vivo experimental data, and assists scientists in making data-driven decisions
    • Works with the scientists in Protein Engineering, Discovery Research, and Therapeutics Research teams to gather requirements and specifications for bioinformatics methods and tools
    • Implements bioinformatics methods for protein engineering and antibody discovery in conjunction with the software development group
    • Participates in the development of high-throughput and large dataset mining and analysis techniques

    REQUIREMENTS

    • MSc or PhD in Bioinformatics, Mathematics, Computer Science or related field and 2 to 5 years' related experience
    • Strong skills in biological sequence analysis and bioinformatics algorithm design
    • Strong background in statistical analysis using R, SAS, Matlab or other statistical packages
    • Experience in implementing and validating informatics methods
    • Effective software development skills in Python or any other programming language
    • Excellent communication in spoken and written English
    Additional Qualifications and Experience:
    • Experience in analysis of next generation sequencing data
    • Experience in biostatistics and clinical data analysis
    • Knowledge of molecular biology and protein science

    COMPENSATION

    Why Work for Us?
    Zymeworks' employees are passionate, engaged and extremely motivated to succeed. We are excited by the cutting-edge science and technology, the endless possibilities this union holds and the sheer opportunity to be a part of something big. To learn more about Zymeworks Inc. and our current openings, please visit our website at www.zymeworks.com.

    We offer challenging career opportunities, competitive benefits and an environment that recognizes and rewards performance.

    HOW TO APPLY

    If you're interested in this challenging opportunity, please apply online at zymeworks.bamboohr.co.uk/jobs/view.php?id=73. Due to the high volume of applicants, only those selected for interviews will be contacted.
    Opportunity: Bioinformaticist @ The University of Nevada, Las Vegas
    Submitted by Dory Libres; posted on Wednesday, October 18, 2017

    BACKGROUND

    The University of Nevada, Las Vegas invites applications for a Bioinformaticist, Nevada Institute of Personalized Medicine (18060).

    Profile of the University:
    UNLV is a comprehensive research university of approximately 28,000 students and 3,300 faculty and staff dedicated to teaching, research, and service. The university has internationally recognized programs in hotel administration and creative writing; professional degrees in law, architecture, and dental medicine; and leading programs in fine arts, sciences and education. UNLV is located on a 332-acre main campus and two satellite campuses in dynamic Southern Nevada. For more information, visit us on-line at: www.unlv.edu.

    RESPONSIBILITIES

    Role of the Position:
    The Nevada Institute of Personalized Medicine (NIPM) at the University of Nevada, Las Vegas (UNLV) invites applications for a Bioinformaticist position. The purpose of this position is to provide bioinformatics support to NIPM next generation sequencing and genotyping service and its users. This position provides technical support for bioinformatics and statistical analyses for NIPM faculty and research projects. The position requires skills in the analysis of NGS data, particularly with respect to pipelines for whole genome and exome analysis, RNA-Seq, Methylation, ChiPSeq and other epigenetic analyses; genotype imputation, GWAS, statistical and population genetics. The position requires a sufficient understanding of biology, genetics, genomics and human diseases, and solid computational and statistical training. Experience in NGS sequencing analyses, statistical genetics, and human genetics and disease studies are preferred.

    This position also provides some support working with other team members on database development, maintenance, administration, and curation for NIPM. The position requires a thorough understanding of relational database administration and the ability to analyze, plan, and manage database projects while meeting established deadlines. Software development using client server tools, relational structured query language, and structured programming design skills are desirable. Experience in a biology or medical field highly preferred. Database administration certification is preferred.

    Major Responsibilities:
    • Provide bioinformatics support of NIPM NGS and genotyping service: provide technical support for bioinformatics and statistical analyses for NIPM faculty, research projects, and NGS and Genotyping service Bioinformatics support. The position requires a sufficient understanding of biology, genetics, genomics and human diseases, and solid computational and statistical training. Experience in NGS sequencing analyses, statistical genetics, and human genetics and disease studies preferred. The person should have first-hand experience in large scale genomics/genetics/bioinformatics analyses in human diseases. The experience and skill to manage and maintain Lunix cluster is desired.
    • Maintain NIPM database: maintain security and integrity, build parsers for external data import, installing and testing new versions of the DBMS, writing database documentation, controlling access permissions and privileges, and generate views and SQL and CQL queries for database users and programmers
    • Maintain NIPM website: help the director update content
    • Provide support for NIPM research projects

    REQUIREMENTS

    Minimum Required Qualifications: This position requires a Ph.D. in computer science/bioinformatics or related field from a regionally accredited college of university and two years related professional experience.

    COMPENSATION

    Salary Range:
    Salary competitive with those at similarly situated institutions. Position is contingent upon funding.

    HOW TO APPLY

    Submit a letter of interest, a detailed resume listing qualifications and experience, and the names, addresses, and telephone numbers of at least three professional references who may be contacted. Applicants should fully describe their qualifications and experience, with specific reference to each of the minimum and preferred qualifications because this is the information on which the initial review of materials will be based. The review of materials will begin November 10, 2017, and will continue until the position is filled. Materials should be addressed to Dr. Martin Schiller, Search Committee Chair, and are to be submitted via on-line application at hrsearch.unlv.edu. For assistance with UNLV's on-line applicant portal, contact UNLV Employment Services at (702) 895-3504 or applicant.inquiry[at]unlv.edu.

    Apply Here: www.Click2Apply.net/58vtjc46ddbzjfsb

    PI99849402

    POLICY

    UNLV is an Equal Opportunity / Affirmative Action educator and employer committed to achieving excellence through diversity. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, age, creed, national origin, veteran status, physical or mental disability, sexual orientation, genetic information, gender identity, gender expression, or any other factor protected by anti-discrimination laws. The University of Nevada, Las Vegas employs only United States citizens and non-citizens lawfully authorized to work in the United States. Women, under-represented groups, individuals with disabilities, and veterans are encouraged to apply.

     

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