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  • Career Center - News

    Featured announcements
    Opportunity: Biostatician @ Augusta University -- Augusta, GA (US)
    Submitted by Veeta Perry; posted on Friday, August 12, 2016

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    BACKGROUND

    The Wistar Institute is looking for an exceptional candidate to join their Cancer Center Bioinformatics Shared Resources Team. The position is highly collaborative and interdisciplinary with opportunities to work with a variety of investigators on basic mechanisms of gene regulation, identification of disease and cancer targets and functional and diagnostic genomics. The successful candidate will play a key role in an integrative team of bioinformatics analysts and biomedical researchers. We are looking for an individual who is enthusiastic about taking a hands-on collaborative approach to understanding these problems and in making significant contributions to our efforts.

    Successful candidates will work with wet-lab researchers to translate computational models into testable experiments and should have experience communicating in a biomedical environment with broad understanding of the field. The position requires familiarity with the analysis of high throughput data from various sources including NGS sequencing, microarrays and proteomics and the capability to integrate various types of high dimensional data with functional biological information and to explore novel data representation modes with emphasis on integrating diverse result types.

    RESPONSIBILITIES

    Characteristic Duties:
    • Pre-experimental project consultations
    • Develop data analysis strategies, write algorithms as needed, and identify and deploy computational tools for the exploration of high-throughput datasets
    • Conceive, implement and test statistical models
    • Prepare project reports and discuss results, problems and solutions with users

    REQUIREMENTS

    PhD degree in Bioinformatics, Computer Science, Engineering, Statistics, Physics, or any quantitative discipline. A minimum of 2 years of post-doctoral experience in computational analysis of high dimensional biomedical data ( next generation sequencing, microarrays, proteomics) is preferred. Candidates should have outstanding academic records; a demonstrated proficiency with statistical and programmatic tools needed for the exploration of high-dimensionality datasets and be an innovative and analytical thinker with strong communication skills who can work well in an inter-disciplinary team.

    Significant experience with at least some of the following is required:
    • Experience in Matlab or R statistical environments is required
    • Experience in programming languages (Python, Perl or C/C++) is required
    • Analysis of data using machine learning approaches
    • Developing tools for data visualization
    • Implementing algorithms for data search, retrieval and annotation
    • A background in Biology or demonstrated experience working and communicating with biologists is very helpful

    COMPENSATION

    We offer an excellent benefits package.

    ABOUT US

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

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

    HOW TO APPLY

    Curriculum Vitae and three references should be sent to: Dr. Louise Showe, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104 or via email to lshowe[at]wistar.org. Applicants are also encouraged to apply online by visiting www.wistar.org/the-[...]yment.

    POLICY

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

    RESPONSIBILITIES

    Manage all aspects of multiple on-going, multi-disciplinary projects including the coordination of study design and implementation, sample collection, documentation, reporting, and communication. Opportunities for publishing scientific papers and participating in grant proposals for development of techniques and analysis related.

    Percentage of time spent on each facet of the position:
    1. Development of project-specific bioinformatics (computational and database) tools in conjunction with Faculty, Students, and Academic Staff (10%)
    2. Training and technical support for bioinformatics software including potentially teaching seminars or workshops (10%)
    3. Analysis of genomic and sequence data generated by customers in the Center (60%)
    4. Oversight of computational and informatics resources including software and hardware. Liaise with staff at the UWM computing cluster facility (10%)
    5. Preparation of manuscripts, reports, web-based public databases, and funding proposals (10%)

    REQUIREMENTS

    • Minimum of bachelor's degree in bioinformatics, molecular biology or related field
    • At least two years' experience in analyzing genomic data including de novo assemblies, multiple sequence alignment (preferably with high-throughput sequencing data), management of large datasets, and experience with gene and protein prediction, neural network analysis, and analysis of microarray data
    • Experience in programming with Perl, BioPerl or other programming related to sequence analysis, statistical packages (such as R or MATLAB)
    • Familiarity with UNIX environments and computing clusters
    • Written and verbal communication skills
    • Demonstrated evidence of teamwork collaboration

    PREFERENCES

    • Masters degree in bioinformatics, molecular biology or related field
    • Prior experience developing scientific software and informatics tools
    • Experience with analysis of next-generation sequence data for large genomes as well as microbial community analysis

    TERMS

    This position is a 12-month, 100% fixed term, renewable academic staff appointment.

    COMPENSATION

    Salary will be within Academic Staff salary range and will be commensurate with experience.

    LOCALE

    Great Lakes Genomics Center, University of Wisconsin-Milwaukee, School of Freshwater Sciences
    www4.uwm.edu/freshwater/

    HOW TO APPLY

    Applicants must apply online by visiting jobs.uwm.edu/postings/25477. All applicants must submit a cover letter outlining qualifications and interests, along with a resume that includes names of three references that can speak to the applicant's abilities, and contact information for all three references.

    DEADLINE

    Review of applications will begin on August 22, 2016 and will continue until the position is filled.

    BACKGROUND

    A PhD position is available at the newly formed Department of Bio and Health Informatics (DTU Bioinformatics) at the Technical University of Denmark within the areas of:

    Health Informatics, Associate professor Ramneek Gupta, mail: ramneek[at]cbs.dtu.dk
    Biotechnology and Meta-Genomic Informatics, Professor Thomas Sicheritz-Pontén, mail: thomas[at]cbs.dtu.dk
    Artificial Intelligence in Life Science, Professor Morten Nielsen, mail: mniel[at]cbs.dtu.dk

    Please note that the applicant need to contact one of the theme leaders at the department in order to make a project proposal and in order to identify the relevant advisory team (note that the DTU PhD system requires that this information is contained in the application).

    DTU Bioinformatics:
    The research at DTU Bioinformatics is focused on benefitting from the wealth of new data and data types being generated within Life Science to improve human and animal health and develop solutions to problems of biotechnological and industrial interest. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop artificial intelligence and machine learning solutions to the challenge of handling and interpreting large scale and heterogeneous data.

    Machine learning:
    Machine learning is a specialized field within artificial intelligence covering algorithms with the ability to learn (from data) without being explicitly programmed. In contrast to conventional top down hypothesis driven research, with machine learning techniques, biological mechanisms are identified directly from data most often without any prior hypotheses. Within biology this approach has proven very powerful. A focus of the department is thus to design and develop new algorithms and tools to meet the challenges of the amount and the complexity of big data within the health sector, and the upcoming data avalanche from the biotech industry.

    Health Informatics:
    Within the theme Health Informatics DTU Bioinformatics is engaged both in a) human genetics based health informatics, examples being the hologenetic view on childhood leukaemia and patient stratifications with traditional medicine approaches b) infectious diseases informatics, examples being the preparing for the next generation of global disease surveillance and building local outbreak predictors.

    Biotechnology and MetaGenomic Informatics:
    Within the theme Biotechnology and MetaGenomic Informatics DTU Bioinformatics has strong interaction with the Danish Biotech industry in the discovery and refining of industrially important processes, examples being using large scale omics together with machine learning concepts to improve food related processes like wine fermentation and milk production.

    REQUIREMENTS

    Candidates should have a scientifically relevant master's degree in engineering/natural sciences or a similar degree with an academic level equivalent to the master's degree. Strong communication skills and a strong academic record is an advantage. The applicant should strive towards developing scientific skills at the highest level, be ambitious and hard working. Only applicants with great talent and a possibility to be among the brightest in their field will be considered.

    Approval and Enrolment:
    The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the PhD School of the department. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide. (www.dtu.dk/engl[...]guide)

    COMPENSATION & TERMS

    The salary and appointment terms are consistent with the current rules for PhD degree students. The period of employment is 3 years.

    ABOUT US

    We offer:
    We offer an interesting and challenging job in an international environment focusing on education, research, public-sector consultancy and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.

    Further information:
    Further information may be obtained from Head of PhD school Ole Lund, tel.: +45 4525 2425, mail: olund[at]dtu.dk.

    Please do not send applications to this e-mail address, instead apply online as described below.

    You can read more about the Department of Bio and Health Informatics on www.cbs.dtu.dk.

    DTU Bioinformatics is a new department at DTU formed by the bioinformatic part of the former Department of Systems Biology. DTU Bioinformatics is operating at the highest level of research, teaching, innovation, and consultancy services within the areas biotechnological informatics and health informatics. The department's activities in the fields of research, teaching, scientific advice, and innovation are centred on the following research areas: health and cancer, immunology, infectious diseases, proteins, molecular biology, and molecular mechanisms, plants and biotechnology and big data infrastructure.

    DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

    HOW TO APPLY

    Please submit your online application no later than 19 September 2016. Apply www.career.dtu.dk

    Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one pdf file. The file must include:
    • A letter motivating the application (cover letter)
    • Curriculum vitae
    • Grade transcripts and BSc/MSc diploma (an official translation into English)
    • Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here) (www.dtu.dk/engl[...]ce-1-)
    Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

    POLICY

    All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

    BACKGROUND

    To engage in a vigorous basic and applied genomics and computational research core facility focused on the use of next generation sequencing, high performance computing, and computational biology to advance research and educational priorities at Clemson University.

    RESPONSIBILITIES

    Job Duties:
    50% – Essential – Experiments:
    Plan, coordinate, execute experiments, analyze data, and prepare manuscripts.

    30% – Essential – Bioinformatics:
    Develop and maintain new analytical pipelines and computational/statistical approaches to analyze data.

    20% – Essential – Outreach:
    Develop and provide training and outreach material on bioinformatics and computational applications and tools in an HPC environment.

    Job Knowledge:
    • Firm Job Knowledge – Firm working knowledge of concepts, practices and procedures and ability to use in varied situations
    Supervisory Responsibilities:
    • Acts as Lead – Acts as a Lead by guiding the work of others who perform essentially the same work.
    Budget Responsibilities:
    • No Budget Responsibilities – No fiscal responsibility for the department's budget.
    Physical Requirements:
    • Sit (stationary position) for prolonged period
    • Communicate, converse, give direction, express oneself
    • Recognize or inspect visually

    REQUIREMENTS

    Education – Doctoral / Professional Degree – in Bioinformatics/Bio./Comp. Sc., Exp. in next gen. sequence data analysis, bioinformatics programming

    COMPENSATION

    Benefits Information:
    Employees who are in time limited positions will earn one and one-quarter days of Annual and Sick Leave per month for a total of thirty (30) days per year. Eligible part-timers will earn days on a pro rata basis.

    LOCALE

    Position is located on the Clemson University main campus, Biosystems Research Complex

    TERMS

    Full/Part Time: Full-Time
    Regular/Temporary: Temporary – Time Limited
    Work Schedule: Standard Hrs: 37.50 hours per week

    HOW TO APPLY

    Please visit www.clemson.edu/empl[...].html

    Apply Here: www.Click2Apply.net/r25s7xdcft

    DEADLINE

    Review of credentials will begin September 19, 2016 and position will remain open until filled.

    POLICY

    Jeanne Clery Act:
    The Jeanne Clery Disclosure Act requires institutions of higher education to disclose campus security information including crime statistics for the campus and surrounding areas. As a current or prospective Clemson University employee, you have a right to obtain a copy of this information for this institution. For more information regarding our Employment, Campus Safety and Benefits, please visit the Human Resources – Prospective Employees web page shown below:

    www.clemson.edu/empl[...]tive/

    Closing Statement:
    Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information. Clemson University is building a culturally diverse faculty and staff committed to working in a multicultural environment and encourages applications from minorities and women.

    DESCRIPTION

    Position Type:
    Other Academic

    Department:
    LSUAM Science - BioS - Computational Biology - Bio Networks (Michal Brylinski (00004691))

    Work Location:
    LSU - Baton Rouge

    Pay Grade:
    Other Academic

    Responsibilities:
    • 75% Pursue an independent research project investigating across-proteome interaction networks linking drug compounds with their macromolecular targets.
    • 15% Assist with training and supervision of graduate and undergraduate students.
    • 10% Assist with general lab maintenance (software packages, websites, webservers, publicly available datasets, etc.)
    Min. Quals:
    PhD in Computational Biology, Biophysics or related field; one year post-doctoral experience in a computational biology laboratory, in computational biology, bioinformatics, biophysics; three years experience in the development of scientific codes for computational biology, structure-based modeling of proteins and protein-ligand complexes

    Additional Position Information:
    Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

    Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

    Essential Position (Y/N):
    No

    HOW TO APPLY

    Link to Job Posting:
    lsu.wd1.myworkdayjobs.com/LSU/[...]04525

    Special Instructions:
    Please attach C.V. to include list of publications.

    Please provide three professional references including name, title, phone number and e-mail address.

    A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required prior to hire.

    Posting Date:
    August 19, 2016

    HCM Contact Information:
    Questions or concerns can be directed to the LSU Human Resources Management Office at 225-578-8200 or emailed HR[at]lsu.edu

    DEADLINE

    Closing Date: Open Until Filled

    POLICY

    EEO Statement:
    LSU is committed to diversity and is an equal opportunity / equal access employer.

    BACKGROUND

    One postdoctoral position in bioinformatics is immediately available in the Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte. The appointee will support and complement ongoing projects in big data biomedical research, particularly in developing computational approaches to integrate large-scale omics and interaction data sets for scientific discovery and validation.

    RESPONSIBILITIES

    Candidate will be expected to conduct research on bioinformatics and computational biology with members of the research laboratory, as well as collaborative efforts with colleagues from other institutions. Candidate will also be required to attend selected scholarly activities presented in the College of Computing and Informatics as well as write original articles in international peer-reviewed journals on your research discoveries. As a team player working closely with cross-institutional scientists with broad areas of expertise, strong interpersonal and communication skills are essential.

    REQUIREMENTS

    Candidate must have a Ph.D. in quantitative fields (including but not limited to Bioinformatics, Computational Biology, Computer Science, Genetics, (Bio)Statistics, Mathematics, and Physics) at the time of appointment, and have demonstrated a high level of research productivity through publication in peer-reviewed venues. Required skills include programming in scripting languages (e.g. Python, Perl) and statistical/mathematical tools (e.g. R, SAS, Matlab).

    PREFERENCES

    Proficiency with programming languages including C/C++/Java is highly desirable. Knowledge of machine/statistical learning and mathematical modeling techniques is preferable.

    TERMS

    The position will initially be funded for one year, and is renewable on a yearly basis, pending satisfactory progress and the availability of appropriate funds.

    LOCALE

    Charlotte, NC, USA

    COMPENSATION

    We offer a collegial environment, excellent facilities, and a competitive salary commensurate with experience (typically starting with ~50k/year plus benefits).

    HOW TO APPLY

    Please send your application to Xinghua (Mindy) Shi via email x.shi[at]uncc.edu, including a CV with publications, contact information for 3 references, letter of interest, and brief research statement.

    For additional information, please visit our websites at bioinformatics.uncc.edu and shilab.uncc.edu.

    DEADLINE

    November 15, 2016

    POLICY

    The University of North Carolina at Charlotte is an EOE/AA employer and an NSF ADVANCE Institution.

    Submitter

    BACKGROUND

    We are seeking an innovative, dedicated, and highly-motivated High Performance Computing (HPC) Engineer to solve challenging problems for our client, a large scientific and medical research agency. If working with a 2000+ core HPC cluster, implementing and supporting bioinformatics applications for a large research community, and creating scalable and optimal solutions sounds interesting to you, then please apply.

    The High Performance Computing Engineer will be responsible for the architecture design, life-cycle upgrades, and feature enhancements for a 2000+ core high performance compute cluster designed to support genomics, molecular dynamics, proteomics, phylogenetics, and deep learning research. In this role as a Sr. HPC Engineer, you will develop and implement innovative and complex solutions, ensuring that upgrades and changes comply with established guidelines and processes. You will monitor and report on cluster performance, install and configure complex bioinformatics applications, and assist with the resolution of the most difficult system problems. The Sr. HPC Engineer will help further develop and execute high performance computing solutions using cluster/grid technologies. You will be a leading expert on high performance computing and mentor colleagues.

    RESPONSIBILITIES

    • Apply in-depth HPC and Linux expertise to collaborate with stakeholders across IT and domain disciplines to expand HPC use in support of world class, cutting-edge scientific research.
    • Collaborate with NIAID researchers to understand their scientific pipelines and then implement efficient, technical solutions to meet their needs.
    • Develop functional and technical IT system requirements and specifications, conduct needs analysis, planning and scheduling the installation of a wide variety of new or modified hardware/software.
    • Advise on HPC technology directions and investments and make technical presentations to other technical personnel and department leadership.
    • Utilize scripting and automation tools like Puppet to install software on the cluster.
    • Support parallel file systems such as IBM Spectrum Scale.
    • Support high performance clusters with schedulers like Grid Engine.

    REQUIREMENTS

    • Bachelors degree and 6+ years experience, or equivalent combination of education and experience.
    • 5+ years of experience with Linux/Unix variants, especially RedHat/RHEL and its derivatives
    • 5+ years of experience supporting high performance clusters with schedulers like Grid Engine (in any variant) or others such as PBS, Moab, or SLURM.
    • Hands-on experience supporting parallel file systems such as IBM Spectrum Scale (formerly GPFS), or Luster, PNFS, etc.
    • Demonstrated working knowledge of popular Bioinformatics applications and ability to compile, package, install, and upgrade software as well as assist researchers with configuring job submission scripts and troubleshooting application issues
    • Scripting experience (Perl, Python, Ruby, R, or bash, etc.)
    • Automation/configuration management experience (Chef, Puppet, Ansible, Salt, etc.)
    Competencies:
    • Able to clearly present ideas to both technical and non-technical users in formal and informal settings
    • Demonstrated decision-making skills and leadership ability to assist with management of project portfolio and daily operations for team

    PREFERENCES

    • SAN/NAS hardware experience
    • Experience architecting and supporting Infiniband networks
    • Experience running parallel jobs with OpenMP or MPI
    • Knowledge of GPU computation and CUDA
    • Experience configuring and running BrightCluster Management Software

    TERMS

    Position is for full time employment with CSRA.

    LOCALE

    Rockville, MD

    COMPENSATION

    Negotiable

    HOW TO APPLY

    Please apply directly online via our careers site www.csra.com to #9621 or via this link: jobs.csra.com/sear[...]459/1

    DEADLINE

    ASAP

    POLICY

    EEOC

    BACKGROUND

    A postdoctoral position is available in Computational Genomics at the Wellcome Trust Sanger Institute under the leadership of Dr Daniel Gaffney. The long-term goal of the lab is to understand how genetic changes influence gene regulation, using a combination of statistical and experimental approaches. One current theme of our group is in the area of gene-environment interactions. We are currently generating RNA-seq and ATAC-seq profiles in immune cells across large numbers of stimulated states, and in hundreds of individuals, to discover regulatory variants whose function is normally "hidden" in naïve cell states.

    The applicant will have the opportunity to develop novel methods for the analysis of gene-environment interactions, and apply these methods to a novel data set generated in our own group. The successful applicant will also have the opportunity to directly test computational results experimentally using CRISPR/Cas9 genome editing, working with the experimental members of the group. The successful applicant will be expected to develop his or her own interests as the project progresses.

    Candidates in Biology with a strong background in quantitative analysis and population genetics are strongly encouraged to apply. We also welcome candidates with a background in Physics, Statistics or Computer Science with strong interests in computational biology. Excellent programming skills, experience with very large data sets and an ability to work as part of a team are essential. The post-holder will work as part of the Gaffney group at WTSI, for more information on the group's research see: www.sanger.ac.uk/scie[...]group

    REQUIREMENTS

    Essential Skills:
    • PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Computer Science, Physics)
    • Strong publishing record
    • Strong statistical and quantitative skills and familiarity with statistical modeling and software
    • Excellent programming skills (C, C++, Perl, Python, Java) and extensive experience of UNIX/Linux and cluster computing
    • Ability to communicate ideas and results effectively
    • Ability to work well with other team members
    • Ability to work to tight deadlines
    Ideal Skills:
    • Previous experience in population genetic analysis
    • Experience with analysis of -omics data sets
    • Some familiarity with the stem cell biology

    COMPENSATION

    Salary range: £30655 to £38428 dependent on experience

    Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus.

    TERMS

    Fixed-term, 3 years

    ABOUT US

    Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. Campus Life The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre.

    The Campus is also home to the Wellcome Genome Campus Courses, Conferences and Public Engagement (CCPE) programme. The CCPE programme delivers training and engagement focussed around genomics, its applications, and implications. Its vision is to inspire a range of audiences both on the Campus and beyond it, and make the world of genomics open and accessible to all. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. In addition the Campus is home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre.

    HOW TO APPLY

    Please include a covering letter and CV with your application.

    Application Link: jobs.sanger.ac.uk/wd/p[...]74793

    DEADLINE

    Closing date for applications: 11th September 2016, 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.

    BACKGROUND

    The Wellcome Trust Sanger Institute, a world leader in genetic research, is looking for an exceptional Computational Biologist (Staff Scientist) to work on host-pathogen interactions. The successful candidate will join an interdisciplinary team of laboratory scientists, computational biologists and bioinformatics to develop innovative analysis tools and to lead on the biological analysis of large datasets. The role will be based within the Institute's Malaria Programme (Dr. Oliver Billker), but we are looking for a talented individual who can provide an effective interface with our other Programmes in Cellular Genetics and Computational Biology, in particular the Single Cell Initiative (Dr. Sarah Teichmann and others). Ongoing large-scale projects range from screening libraries of in vitro differentiated stem cells for interactions with a panel of pathogens, to single cell transcriptomics of malaria parasite development and immunity. For informal inquiries you may contact Dr. Oliver Billker (ob4[at]sanger.ac.uk).

    REQUIREMENTS

    Essential Skills:
    • PhD degree or equivalent experience in a computational or biological science.
    • Extensive experience or formal training in computational biology or bioinformatics and familiarity with genome and transcriptome data
    • Demonstrated proficiency with several of the following technologies: R, Unix, Perl, Python, Java, Matlab, C, C++
    • Evidence of ability to work as part of a team
    • Highly developed problem solving skills
    • Excellent communication skills as evidenced by publications and presentations
    • Ability to prioritise tasks to ensure the right things are done at the right time

    PREFERENCES

    Ideal Skills:
    • Evidence of ability to work effectively in an interdisciplinary environment
    • Good knowledge of genomics, cell biology and immunology
    • Experience with large biological datasets

    COMPENSATION

    Salary range from: £31033 to £39142pa dependent on experience

    Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus.

    ABOUT US

    Campus Life The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre.

    The Campus is also home to the Wellcome Genome Campus Courses, Conferences and Public Engagement (CCPE) programme. The CCPE programme delivers training and engagement focussed around genomics, its applications, and implications. Its vision is to inspire a range of audiences both on the Campus and beyond it, and make the world of genomics open and accessible to all. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. In addition the Campus is home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre.

    HOW TO APPLY

    Please include a covering letter and CV with your application.

    Application Link: jobs.sanger.ac.uk/wd/p[...]74382

    DEADLINE

    Closing date for applications: 5th September 2016

    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.

    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 currently searching for a Computational Biologist to support the National Institutes of Health (NIH). This opportunity is full-time, and it is on site in Bethesda, MD.

    RESPONSIBILITIES

    The Computational Biologist will provide assistance to one or more senior investigators by analyzing genomic – transcriptomic data and by performing laboratory experiments in support of biomedical research programs and projects.

    Duties and Responsibilities:
    • Responsible for all phases of ongoing genomic – transcriptomic research projects including, but not limited to: discussions with senior investigators as to the concepts, methodologies, and overall goals, conducts searches to locate the most relevant literature pertinent to the project to identify the most applicable methods. Keeps abreast of pertinent literature, extracts relevant details, and incorporates appropriate concepts and techniques into research activities and experiments. Maintains state-of-the-art knowledge of the research throughout the life of the project, reviewing available literature on new methods and techniques for potential application within the laboratory.
    • Assumes responsibility for the planning, development, implementation, and management of research project. Makes decisions as to the time and resources required to perform experiments and establishes plans and schedules and periodically evaluates progress of experiments to ensure that they are proceeding as planned.
    • Critically analyzes results of experiments to determine whether data generated is accurate and valid. Compares results with those obtained from previous related studies to verify the validity of data. Identifies unusual or unexpected results and their probable causes and recommends re-running experiments or modifying them as necessary.
    • Maintains complete, detailed and clear records of all experiments performed. Records each experiment describing methods and procedures used and including summaries of data obtained and descriptions of any problems or unusual situations encountered in carrying out the experiment.
    • Carries out a variety of sophisticated methods for analyses of genomic – transcriptomic data, including, but not limited to: genomic, exomic and transcriptomic analyses; microarray expression; candidate gene analysis. Interprets findings and summarizes conclusions. Assists the investigator in interpretation of data and in the preparation of data in final form for publication in scientific journals.
    • Serves as a key member of the research team and ultimately as author on manuscripts reporting the results of these projects. May also present results of work at national and international conferences and meetings. Attends conferences, meetings, and lectures on subjects relevant to the research program.
    • Coordinates the training of new members of the research team when appropriate in the execution of genetic research studies. Oversees the work of students or other less experienced research team members, providing training and guidance in a range of analytical methods.
    • Maintains an up-to-date knowledge of current research and new methodological developments in the broadly defined area of research. Reviews scientific journals, abstracts, and industry reports relating to the field. Reviews available literature on new methods and techniques for potential application in the section, incorporating appropriate concepts and techniques into the research program.

    REQUIREMENTS

    • Master's degree in Bioinformatics – Computational Biologist or other related scientific discipline
    • Minimum of two (2) years of experience in the generation and analysis of genomic and transcriptomic data
    • Exemplary technical and analytical skills and foundation of biological concepts, theories, principles and practices
    • Advanced computer knowledge and experience
    • Ability to maintain accurate records of experimental results and write preliminary drafts of reports

    HOW 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.

    BACKGROUND

    This position is part of a 5-year ERC funded research project aiming to get fundamental insights into how signaling inputs orchestrate changes in chromatin and transcriptional activity of targets in gene regulatory networks (GRNs) that control progenitor/stem cell proliferation and fates during organogenesis. The position is available in the Developmental Genetics Group at the at the Department Biomedicine of the University of Basel, Switzerland (www.devgenbasel.com).

    RESPONSIBILITIES

    1. Computational analysis of large-scale biological datasets that include comparative transcriptome analyses (RNA-Seq) and their integration with chromatin and epigenetic datasets (ChIP-Seq, 4C, Hi-Seq, ATAC-Seq)
    2. Analysis and functional interpretation of the datasets generated (de novo motif discovery, pathway analyses) in close interaction with experimentalists in the group
    3. In silico simulations and analyses of GRNs. A fascinating aspect of our research is to understand how these robust GRNs were altered during vertebrate limb evolution and diversification. Part of this research will be done together with collaborating groups

    REQUIREMENTS

    We are looking for a highly motivated candidate with a PhD in a quantitative field such as computational biology, statistics, mathematics or closely related field. Experience in the in-depth analysis of high-throughput sequencing datasets, statistical knowledge and programming skills in R/Bioconductor and basic knowledge of UNIX-like operating systems are necessary. The successful candidate must have an excellent publication record from their PhD research. In addition, she/he must demonstrate ambition to have a real impact by creating synergies in collaborating with experimentalists and developing his/her own research within the ERC funded project.

    LOCALE

    University of Basel, Switzerland

    ABOUT US

    We Offer:
    The Developmental Genetics group has a longstanding interest and track record in analyzing the self-regulatory signaling systems that control key processes using developing vertebrate limbs as a paradigm to study organogenesis and evolutionary diversification. We exploit a variety of state-of-the art technologies for our research and have established the necessary collaborative network to successfully combine experimental with in silico research. The applicant will profit from the excellent bioinformatics and computational biology environment at the University of Basel (scicore.unibas.ch) and ETH Systems Biology Department in Basel, Switzerland.

    HOW TO APPLY

    For informal inquiries please contact Prof. Rolf Zeller (rolf.zeller[at]unibas.ch) and/or PD Dr. Aimée Zuniga (aimee.zuniga[at]unibas.ch). Applicants should send a CV with complete publication list, grades of master and PhD, motivation letter, research interests and the names and addresses of three referees as one single PDF file directly to rolf.zeller[at]unibas.ch and/or aimee.zuniga[at]unibas.ch.

    DEADLINE

    Interviews will start ASAP and continue until the position is filled.

    BACKGROUND

    Two postdoc positions are available in the area of Bioinformatics & Toxicogenomics

    REQUIREMENTS

    • PhD degree in bioinformatics, chemogenomics, toxicogenomics, computational biology, or life sciences with extensive bioinformatics experience
    • Familiarity with high-throughput omics data analysis, including RNAseq and metabolomics using R/Bioconductor
    • Demonstrated experience with large dataset management & data mining; Experience in high-performance computing and web technologies
    • Advanced scientific writing as evidenced by peer-reviewed publications

    LOCALE

    Montreal, Quebec, Canada

    COMPENSATION

    Starting salary: $47,500 CAN per year, for two years. Renewable for two more years based on performance.

    HOW TO APPLY

    To apply, submit research statement (1-2 pages, demonstrating fit with the position) and curriculum vitae (max 5 pages, outlining research excellence & capacity for leadership in bioinformatics) to Dr. Xia (jeff.xia[at]mcgill.ca).

    DEADLINE

    Applications will be reviewed immediately until the positions are filled, but no later than November 30, 2016.

    BACKGROUND

    A computational position has become available which involves developing computational and statistical methods in a project within the Cancer Genomics Programme. The post holder will have responsibilities to develop computational and statistical methods for a project exploring somatic mutations associated with aberrations in DNA repair pathways. We are generating human iPSC lines from patients with germline mutations in DNA repair/replication pathways and generating parallel CRISPr/CAS-9 edited lines of the same genes. The over-arching objective is to explore mutational signatures in the context of the biological mechanisms associated with DNA repair, by integrating cellular/molecular approaches with genome-wide assays including genomic sequencing, RNA-seq and ChIP-seq.

    A detailed role profile and further information regarding the new program can be found on our website at: www.sanger.ac.uk

    REQUIREMENTS

    Essential Skills:
    We welcome candidates with a solid expertise in statistics/computational biology/population genetics or genomics/computer science/physics, in addition to strong quantitative skills. Programming skills and experience in handling large datasets is essential. Candidates with experience in genome-wide assays and genomics/molecular biology are encouraged to apply. The ability to communicate effectively, organize your own time and work independently are essential.

    PREFERENCES

    Ideal Skills:
    • Experience with analysis of -omics data sets
    • Previous experience with QTL analysis
    • Previous experience with stem cells
    • Some understanding of genomics assays (RNA-seq, ChIP, genome sequencing) would be advantageous

    COMPENSATION

    Salary range: £30,655 - £38,428 pa dependent on experience plus excellent benefits

    Our Benefits include: Defined Contribution Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Workplace Nursery and 25 days Annual Leave, increasing by one day per year up to a maximum of 30, plus Bank Holidays. We also have a gym, two cafes, dining facilities, and a free campus bus service. Our thriving Sports and Social Club provides many opportunities to meet with people working across the campus.

    TERMS

    Fixed-term 12 months

    ABOUT US

    The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre.

    The Campus is also home to the Wellcome Genome Campus Courses, Conferences and Public Engagement (CCPE) programme. The CCPE programme delivers training and engagement focussed around genomics, its applications, and implications. Its vision is to inspire a range of audiences both on the Campus and beyond it, and make the world of genomics open and accessible to all. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. In addition the Campus is home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre.

    HOW TO APPLY

    Please visit jobs.sanger.ac.uk/wd/p[...]73050

    Please include a covering letter and CV with your application.

    DEADLINE

    Closing date for applications: 23rd August 2016, 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.

    BACKGROUND

    Computercraft seeks a Scientific Product Manager to help develop and manage the portfolio of web-based, mobile, and cloud application and services at the National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH). The NCBI product portfolio ranges from simple text reports to dynamic, interactive web displays and reporting tools, all working to communicate NCBI content and data and its impact on human health. Improving the NCBI's product portfolio will positively impact the work of both scientists and clinicians.

    This is a full time position working onsite at the National Institutes of Health (NIH) in Bethesda, Maryland in the Information Engineering Branch of the National Center for Biotechnology Information (NCBI) in the National Library of Medicine (NLM).

    RESPONSIBILITIES

    Responsibilities include identifying user categories and their needs, both internal and external, making product proposals, creating action plans for product development and marketing, influencing decision-makers and managing the committed and backlog product lists. The successful candidate will synthesize information from internal weblogs and external feedback and define conversion metrics and goals.

    REQUIREMENTS

    • 4+ years' experience in content-rich environments
    • Experience working on large, complex projects
    • Experience in product development, ideally for scientific environments
    • Excellent project management, consensus-building, and communications skills
    • Ability to balance multiple goals and deadlines under resource constraints
    • Ability to incorporate and resolve conflicting direction from multiple management, user, and technical stakeholders
    • Strong interest in contributing to the development of public database resources

    PREFERENCES

    • Specific experience with web analytics, accessibility, usability testing, and software QA/Testing
    • Experience working in a professional web or application development organization
    • Solid understanding of the technical software development process
    • Experience in biological sciences, molecular biology or genetic variation
    • Solid grasp of scientific perspectives of the products developed

    COMPENSATION

    Computercraft offers a competitive salary, excellent benefits package, the opportunity for excellent work-life balance with a standard 40 hour work week and the chance to work with accomplished scientists at NIH/NCBI.

    HOW TO APPLY

    To apply for this position or learn about other Computercraft job opportunities, please visit the Careers section of our website: www.computercraft-usa.com

    POLICY

    Computercraft is an equal opportunity employer.
    Opportunity: Biostatician @ Augusta University -- Augusta, GA (US)
    Submitted by Veeta Perry; posted on Friday, August 12, 2016

    RESPONSIBILITIES

    Seeking a talented and highly motivated Computational Biologist to pursue research projects in collaboration with bench biologists. The candidate will work with an interdisciplinary team, will carry out high throughput data analysis and data integration across various domains and will develop novel methods for genomic data analysis.

    The duties include, but are not limited to: perform quality bioinformatics analysis of high throughput genomic data and assist others in the interpretation of analyzed data; conceive and develop algorithms and analytic approaches for genomic data analysis and integration; solve challenges in genomic data analysis, and implement solutions in usable software tools; establish procedures and work-flow for routine data analysis; independently and proficiently utilize web resources (such as Entrez, RefSeq, GEO, BLAST), visualization tools, genome assemblies, and available analysis software; provide clear and concise professional reports on data analysis and results; and other related duties as assigned.

    REQUIREMENTS

    Minimum:
    MS/PhD degree from an accredited college or university in Bioinformatics, Biostatistics, Computational Biology, Genomic Medicine or similar field, with a strong publication record and a minimum of one year of relevant experience

    Preferred:
    Experience in database management, server management, and web-based programming is highly desirable.

    TERMS

    Shift: Days/M-F

    COMPENSATION

    Salary: $48,341/Annual

    LOCALE

    Augusta, Georgia

    HOW TO APPLY

    Please visit www.augusta.edu/jobs
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