TCAG, The Centre for Applied Genomics at The Hospital for Sick Children, is one of the leading genomics centres in the world. The TCAG informatics facility is involved in computationally challenging problems such as de-novo genome assembly, identification of potentially pathologic single nucleotide variants utilizing exome or whole-genome re-sequencing and copy number variant detection. TCAG also supports the Database of Genomic Variants (DGV), the major copy number variation database. The Hospital for Sick Children is one of the leading paediatric health care centres in the world with an international reputation for excellence in health care, research, and teaching.

Responsibilities

We are seeking a highly motivated bioinformatics analyst to run and extend analysis pipelines for human/mammalian NGS (next generation sequencing) data, with a specific focus on variant detection in exome and whole genome resequencing applications.

The position will report directly to the informatics core facility manager and will involve close interactions with other informatics facility members.

Requirements

The candidate will have a M.Sc. or equivalent degree in Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering or related fields. Previous experience with NGS data analysis, solid knowledge of scripting languages (Perl, Python, R or Ruby), SQL and Unix OS are strictly required. Excellent communication and team work skills are also required. Strong preference will be given to Canadian citizens, permanent residents as well as graduates of a Canadian institution eligible for a post-graduation work permit.

Preferences

Previous experience exome/whole genome read alignment and variant detection tools is a plus.

Locale

The work will be conducted at the TCAG/The Hospital for Sick Children, Toronto. Toronto is a major international centre of genomics, proteomics and systems biology research; there will ample opportunity for professional development through research seminars, workshops and research in progress meetings.

Compensation

Salary is commensurate with education and qualifications.

Terms

Fixed-term, 2 year contract, with the possibility of extension. TCAG is strongly committed to provide continuative funding for bioinformatics personnel with a good performance record.

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Position Title: 

Dir Admin & Finance (ADM4A)

Position Summary: 

The Director of Administration and Finance of the MNI (Director) is responsible for the internal operations and administrative leadership of the MNI. The Director reports directly to the Director of the MNI (who is also Executive Director of the The Neuro), while working closely and collaboratively with the Senior Director, Administration and Operations of the Faculty of Medicine. The Director leads all administrative operations, including financial activities, HR, technology, procurement and building operations; provides support and guidance to the team of managerial and administrative staff; and enables the high and rigorous performance of the MNI by ensuring administrative and financial functions are aligned to support the financial health and the growth of the MNI, as well as to respect McGill University’s frame of policies and procedures. The Director enthusiastically embraces the mission of the MNI (and of The Neuro) and is a leader, comfortable in an environment driven by research, teaching, knowledge transfer, commercialization, as well as clinical care. The Director is the key resource person to the Executive Director of The Neuro for all administrative and financial matters and, as such, ensures that proper controls, efficient processes and information systems are in place to sustain and improve the overall performance of the MNI. Fundamental to the success of the MNI, the Director develops and maintains excellent relationships and contributes to creating a true sense of partnership and unquestioned added value with the MNI’s key stakeholders: McGill University’s Faculty of Medicine and Central Administration, the Montreal Neurological Hospital and the MUHC.

Primary Responsibilities: 

The following have been identified as key responsibilities for the Director:

1. Be accountable to The Neuro Director for the operational implementation of the strategic plan and establish sound financial operations, including the preparation of an annual budget;
2. Identify the challenges and opportunities arising as a result of the mandate of the MNI and define sound solutions and plans to address those;
3. Monitor the structure, systems and processes to ensure sustainability and growth, to improve productivity and to optimize operational capacity;
4. Ensure controls are in place to secure rigorous and transparent financial reporting;
5. Work in close and harmonious collaboration with the Faculty of Medicine’s management team as regards all administrative and financial affairs of the MNI;
6. Demonstrate a collaborative, solution-oriented style of management and decision-making, all based on high integrity and strong ethics;
7. Leads daily internal operations in areas of finance, HR, technology, legal, procurement, building maintenance, renovation and stewards capital projects ensuring these functions are aligned to support the strategic focus and growth of The MNI and consequently the success of The Neuro, McGill and the MUHC;
8. Maintain an institutional culture that is collaborative, consultative, efficient and effective;
9. Support the MNI program activities in neuroscience research, research support, teaching, commercialization, bioinformatics and knowledge translation;
10. Work with the senior executive team and researchers to build excellent working relationships with all of the MNI’s partners locally, provincially, nationally and internationally so as to advance the MNI’s mission and resource base;
11. Provide oversight to the Clinical Research Unit, Experimental Therapeutics Program, Neuro Research Ethics Board and the PET / Radio Chemistry Core facilityEstablish collegial and respectful relationships with direct reports to create a true sense of belongingness to the MNI and to McGill University.

Minimum Education & Experience: 

Undergraduate degree

Eight (8) years' related experience

Other Qualifying Skills And/Or Abilities: 

In alignment with the key responsibilities of the role, the ideal candidate possesses the following: 8 to 10 years of supervisory financial management experience, including a good understanding of HR, technology, procurement and space management; Formal accounting designation or equivalent; Knowledge of the province of Quebec’s university milieu, including policies and processes; Strategic and conceptual thinking skills, including the ability to anticipate high-level issues and to position the MNI to take advantage of and respond to these issues. Experience in successfully managing sustainability, change and innovation in a dynamic research and academic health setting; Demonstrated commitment towards rigor, performance measurement and accountability; Superior leadership and problem solving skills; Stature and credibility, to assist in the realization of the MNI’s vision. Capacity to appreciate the complexity of an institution like The Neuro, and to work with a diverse community including a broad range of stakeholders – executive team and researchers of the MNI, Faculty of Medicine’s management, University colleagues, MNI donors, governments, other academic institutions, clinical care centers and private sector entities; Entrepreneurial and innovative style, leads with honesty, integrity and empathy, possess the courage to push the envelope in a constructive way; Fluency in English and French – both spoken and written.

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Salary range: £13,125 to £21,750 per annum dependent on experience. Closing date: 27th September 2013

We are looking to recruit an enthusiastic and committed part-time Trainee/Animal Technician to work 2 days per week (15 hours) pro rata.  The role is to provide husbandry and welfare care to the animals housed primarily within the Research Support Facility (RSF).  This modern facility provides a dedicated aquatics area, mouse containment and quarantine areas and a barriered area giving provision for the housing and utilisation of model organisms in genetics research.

The role will involve working as part of a dedicated team providing high standards of animal care and assistance to the facility users.  You will assist in providing for the husbandry and welfare of the species housed in the RSF.  You will also participate in maintaining fish and mouse breeding and experimental colonies using IVC technology and providing regulated procedures as appropriate.

Essential Skills

1. The post holder should have previous experience working in an animal facility with IAT Level 2 qualification or equivalent experience.
2. It is essential the post holder has an awareness of A(SP)A and the 3 R's and is able to keep neat and accurate records.
3. They should be effective at communicating upwards and liaising with other departments.

 Ideal Skills

1. Previous experience with fish, frogs and rodents, specifically GA and assisting with regulated procedures is highly desirable.
2. Hold a Home Office Personal Licence or have completed Modules 1-3 Training for rodents, fish and frogs.
3. Familiarity with aquatic systems and Individually Ventilated Cages is preferable.
4. Computer literacy and previous experience of entering data onto electronic databases.
5. Awareness of working to SOP's and knowledge of relevant Health & Safety legislation.

Other information

1. The post holder will work within a team of experienced technicians and be supported by highly experienced Principle Technicians and Managers.  This team will nurture good decision making and promote ownership of activities.
2. There is a requirement to participate in a weekend and public holiday rota (this will involve working approximately 1 weekend in 3) to ensure the RSF is satisfactorily maintained at all times.  The role will also occasionally require hours to be worked outside of the normal hours to fit with RSF User requests.
3. The post holder will be given appropriate training to allow them to fully undertake their role.
4. The work involves some manual lifting and much of the day is spent standing.
5. The Genome Campus is a 55 acre estate south of Cambridge in the grounds of Hinxton Hall.  Nestled in the quiet countryside of these landscaped gardens, are two world class research facilities:  The Wellcome Trust Sangter Institute and the European Bioinformatics Institute (EBI).  The site has become the British hub of biomedical science.  The Campus is also home to the Wellcome Trust Advanced Courses and Scientific Conferences program and the Wellcome Trust Conference Centre.
6. In addition to its peaceful location the campus offers excellent facilities including a state of the art data centre, gym, 2 cafes, nursery, dining facilities, a cycle to work scheme, car sharing and free campus buses from various locations around Cambridge.
7. Equally important to campus life is the range of social activities offered by the Sports and Social Club whether it is a Burns Night Supper, the Mid-Summer Ball or a quiz night.  There are opportunities to meet with people working across the organisation.
8. Learning, development and networking are other important aspects of life on campus.  There are a range of scientific seminars with our own invited speakers, scientific group meetings and skills development workshops.

When applying please submit a CV and a covering letter.

Closing date for applications is 27nd September 2013.

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Tasks

1. Integration and analysis of large amounts of data from genomics, transcriptomics and metabolomics experiments
2. Support the development process for the production of various bio-based products through comparative analyzes of microbial production strains and target identification to increase productivity
3. Processing of biotechnological issues by statistically significant responses from omics experiments
4. Support of existing software platforms and databases
5. Creation and capture of requirement profiles for new IT projects, evaluation of alternative solutions, as well as coordinating the development and implementation of new software systems

For more information about our Health & Nutrition Business you like to visit our website .

Conditions:

1. University degree in computer science
2. Designated trademarks and skills in the areas of bioinformatics: integration, visualization and analysis of omics data (genome, transcriptome, metabolome)
3. High team spirit and care and personal initiative, reliability and flexibility
4. Good German and English, spoken and written

What we offer

They work together with a team of exciting and challenging topics in a highly modern, innovative and creative environment. Intensive training "on the job" with competent colleagues guarantees a quick introduction to the self-responsible task processing. Performance-related pay, the promotion of your personal development and professional qualifications are of course for us.

Your application

Have we piqued your interest?

Then apply online via our career page at www.evonik.de / careers .

Your questions, please contact Dr. Julia Tolsdorf, TELEPHONE +49 800 2 386,645th 

CODE POINT OF EU - 5805

The German Center for Neurodegenerative Diseases (DZNE) in Göttingen offers an open position for a postdoctoral bioinformatician in the 'Analysis of Biological Networks' group of Stefan Bonn.

The DZNE is a center of excellence within the Helmholtz Association that performs translational research on neurodegenerative diseases. The center includes nine high-performing sites in Berlin, Bonn, Dresden, Göttingen, Magdeburg, Munich, Rostock / Greifswald, Tübingen and Witten.

The successful candidate will work within a team of bioinformaticians in a multidisciplinary environment spanning bioinformatics and neuroscience. The work will focus on the development of novel algorithms and software for the integrative analyses of various genome-wide datasets derived from massively parallel sequencing (ChIP-, MeDIP-, RNA-, and small RNA-seq).

Candidates should have a strong background in bioinformatics, biostatistics or computer science, be looking for a collaborative and dynamic environment, and have a proven track record of productivity. Exposure to NGS analysis, parallel computing environments and machine learning is an asset but not a requirement.

The position is initially limited. Employment, payment and social benefits are determined by the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst – TVöD). Job location is Göttingen, Germany.

The DZNE is an equal opportunity employer. The DZNE is committed to employing disabled individuals and especially encourages them to apply.

Applicants should send a letter of research interests, curriculum vitae, the names and contact details of two referees to Ulrike Kramer (Ulrike.Kramer@dzne.de). Please indicate 'Bioinformatics Postdoc' in the title of the e-mail.

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Description

A postdoctoral position is available in the laboratory of Dr. Adam Auton, in the Department of Genetics at Albert Einstein College of Medicine in New York, USA (http://autonlab.einstein.yu.edu/). Research goals of the lab are to use statistical methods in conjunction with high-throughput DNA sequencing to understand patterns of genetic diversity, and to quantify how these patterns vary across individuals. We are interested in a variety of problems, including investigation of the influence of mutation, recombination, and natural selection. Much of our current work is focused on humans and other mammals, but we are potentially interested in other organisms.

We welcome candidates with a demonstrated interest in genetics and evolution, with a background in Population and Statistical Genetics, Bioinformatics, Computer Science, or related disciplines. Strong programming skills are essential. Experience with high-throughput sequencing data and/or experimental techniques would be an advantage. Salary will be based on the NIH scale. Please email a CV including list of publications and names of two references to adam.auton@einstein.yu.edu. Informal inquiries are also welcome.

• WEBSITE: http://www.einstein.yu.edu/
• DEPT SITE: http://autonlab.einstein.yu.edu/

Job Description

The Mouse Genome Informatics program at The Jackson Laboratory in Bar Harbor, Maine, is seeking a Bioinformatics Analyst working with the Mouse Genome Database (MGD). MGD integrates a wide range of mouse genetic, genomic, and phenotypic data, including gene characterization, gene localization and sequence, vertebrate gene homologies, phenotype characteristics, allelic variants and mutants, and strain data.

The Bioinformatics Analyst will concentrate on functions necessary to bring regulatory elements into MGD. Work will include writing scripts for parsing data from external providers into defined file formats that can be uploaded into MGD and the GBrowse sequence viewer, writing scripts to automate assignment of regulatory elements with Sequence Ontology terms and to perform nomenclature quality checks. The Bioinformatics Analyst will work with data providers to ensure data representation consistency and work with software developers to automate annotation updates as revisions to the mouse genome reference assembly are released. Applicants should have a strong background in genome sequence analysis and demonstrated proficiency with scripting languages such as PERL or Python. Knowledge of community data format and sharing standards such as GFF and DAS is preferred.

Required Skills

Candidates should have excellent writing and communication skills and the ability to work effectively in a team environment. Ph.D. degree in Life Sciences highly preferred; exceptional individuals with M.S. degrees and extensive specific knowledge domain experience will be considered.

 Apply here

Description

Research Highlights: Integrative Analysis of Multi-scale Sequencing Data towards better Understanding of Infectious Diseases, Host and Microbiome, and Control of Drug Resistance.

* Unique expertise in third generation sequencing (single molecule real-time) that can detect nearly twenty different types of DNA modifications and discover novel types

* Integration with 2nd-gen sequencing for functional/comparative epigenomics/genomics, transcriptomics, metabolomics

* Pathogen-host interactions in infectious and genetic (specifically mitochondrial) diseases

A postdoctoral research fellowship position is available at the Mount Sinai School of Medicine in New York City. Our lab is in the department of Genetics and Genomic Sciences and the Institute for Genomics and Multi-scale Biology, one of the top institute on computational biology in the nation. Our research emphasizes the biological and clinical impacts in the design of effective computational and statistical models. Successful candidates will have unique opportunities to take the lead roles in the use of single molecule real-time sequencing to better understand infectious diseases (bacteria, virus, fungi, parasites), mitochondrial diseases (neurodegenerative diseases and cancers) and drug resistance. Compensations for successful postdoc fellows are highly competitive.

Recent publications on these topics include:

* PLoS Genetics, 2013

* PLoS Computational Biology, 2013

* Nature Biotechnology, 2012

* Genome Research, 2012

Here are some of the specific questions that we are trying to answer in ongoing projects:

* How does DNA chemical modifications contribute to pathogen virulence, drug resistance and interaction with host and microbime?

* Are there methylations in mitochondrial DNA or just damages? Where are they? What are their functional roles in neurodegenerative diseases and cancers?

* How do genomic variations and epigenomic variations interact with each other in molecular and cellular regulation?

 To apply

Interested? Excited? Join us to reveal the cool biology! Candidates with PhD in computational biology, bioinformatics, computer science, or statistics with experience on analyzing biological and medical data are encouraged to apply. Solid computer programming, statistical, data mining, machine learning skills are desirable. Please send the following to gang.fang@mssm.edu

1) CV with a list of publications

2) A brief description of your previous research experience, best including any of the following three topics: sequencing data, GWAS or microbiome.

3) PDF files for the papers that involve computational and statistical data analyses, in which you are first or co-first author.

*Lab page with details*:http://research.mssm.edu/fanglab

Responsibilities:

Developing, implementing, and performing state-of-the-art bioinformatics analyses, applications, and workflows to grow our translational genomics and bioinformatics capabilities and infrastructure.

Qualifications:

• M.S. in Bioinformatics or related discipline, with 1-3 years of experience required;
• Ph.D. in Bioinformatics or related discipline, with 3-5 years of experience preferred;
• Strong background in software development on Linux system;
• High programming proficiency in Java, Perl, or Python;
• Solid experience in next generation sequencing data analysis;
• Demonstrate initiative in experimenting with new technologies;
• Ability to address business needs with effective and efficient technical solutions;
• Cooperate with team members and clients from a broad range of disciplines and subject level expertise;
• Able to work independently and collaboratively in a dynamic work environment;
• Strong communication skills, both written and verbal.

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Job Description

Omicsoft is seeking a highly motivated and experienced genomics scientist who can contribute his/her own unique perspectives to our collective understanding of genomics data for biomedical researches. The position will be based in Cary, North Carolina with the primary responsibility to understand genomics data from varied disease areas, and to develop data analysis plans/pipelines to generate biological meaningful results and visualizations. By collaboratively working with internal research and development team, the successful candidate will integrate acquired knowledge into our efforts to provide great genomics knowledge products to our clients.

Key Responsibilities Include

1. Collaborate with colleagues to understand our clients’ interests and biological questions
2. Develop data analysis strategies and plans to address clients’ need.
3. Perform data analysis on genomics data sets using Omicsoft products as well as other bioinformatics and statistical tools.
4. Prepare presentations to summarize findings and train customers
5. Training customers to explore data and answer biological questions using ArrayLand
6. Other data analysis and bioinformatics researches funded by clients

Basic Qualification

1. PhD degree in Bioinformatics, Biology or related fields, or Masters with minimum 2 years post-graduate work experience
2. Understanding of basic biology and cancer biology

Preferred Qualifications

1. Experience in the fields of genomics and bioinformatics data analysis
2. Experience with R, Python or Java, Unix/Linux/HPC is a plus
3. Enjoys working in collaborative team environment
4. Strong written and oral communication skills to present scientific data and methods
5. Experience in cancer research and drug development is a plus

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The Personalized Cancer Medicine Partnership (PROFILE) is a collaborative venture between two Harvard Medical School affiliated institutions- the Brigham and Women’s Hospital and the Dana-Farber Cancer Institute. The mission of PROFILE is to advance translational and personalized cancer medicine by implementing tumor genomic profiling on all cancer patients treated at these institutions. PROFILE will employ state-of-the art technology to generate a detailed profile of key “druggable” or otherwise “actionable” cancer genomic alterations in a CLIA-approved and “real-time” process to facilitate rapid clinical application. These cancer genomic profiles will be used to guide patient treatment and/or stratification for clinical trials of novel anticancer agents.

Role and Responsibilities:

This exceptional opportunity offers the chance to work at the forefront of translational cancer technologies and applications. The Computational Biologist will join the current bioinformatics group to analyze and represent genomic data generated by next-generation sequencing (NGS). The Computational Biologist will report to the Group Leader of Bioinformatics and will have the following responsibilities:

1. Development of novel algorithms and tools for the analysis of somatic and germline genomic alterations.
2. Identification and evaluation of analysis tools for the identification of variants from NGS data. 
3. Definition, application and validation of computational approaches for cancer genome analysis from next-generation sequencing (and other) data
4. Analysis of datasets from high-throughput molecular assays utilizing appropriate bioinformatics and/or genetic analyses
5. Identification of variants in individual samples as well as performing cohort analysis on groups of related samples
6. Additional tasks including, but not limited to: maintaining awareness of emerging approaches and methods in computational biology as they relate to clinical applications of next-generation sequencing, supporting the visualization and analysis of existing data, developing innovative solutions for the analysis and management of genomic data, including next-generation sequencing data.

Qualifications: 

Masters in Computer Science, Bioinformatics, Engineering, Math, Statistics, Physics, or a related quantitative discipline with 3-5 years’ experience, or PhD in the same fields with 1-2 years’ experience required. Advanced statistical and computational data analysis experience using (R, Perl, or MATLAB); demonstrated experience modeling complex multi-dimensional biological data, and strong programming skills (using Java or Perl) in a UNIX/Linux environment are essential. Experience in molecular biology, cancer genomics, or a related field; proven experience in the development and validation of NGS algorithms and knowledge of relevant databases, methods and analytical tools used in next-generation sequencing data analysis/interpretation is highly desirable. Candidate should have the ability to work independently or collaboratively on several concurrent, fast-paced projects. A minimum two-year commitment is required.

How to apply: Interested candidates should provide a resume and a brief cover letter summarizing previous experiences, training, and qualifications, as well as names and contact information for at least two references.

Please contact: Anna Cooley

AnnaC_Cooley@dfci.harvard.edu 

(617) 582-8643

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Description:

Johnson & Johnson Pharmaceutical Research & Development L.L.C., a member of Johnson and Johnson's family of companies, is recruiting for a Senior Research Scientist for Molecular Profiling, located in La Jolla, CA.

Johnson & Johnson Pharmaceutical Research & Development, L.L.C. develops treatments that improve the health and lifestyles of people worldwide. Research and development areas encompass novel targets in neurologic disorders, gastroenterology, oncology, infectious disease, diabetes, hematology, metabolic disorders, immunologic disorders, and reproductive medicine.

This position is with the Systems Pharmacology and Biomarkers team and requires a highly motivated and skilled Principle Scientist to assist in the early development of innovative therapies for immune diseases such as rheumatoid arthritis, psoriasis, asthma, COPD and inflammatory bowel disease.

This position requires the Senior Research Scientist to accelerate scientific discovery for immunology through the use of informatics in driving innovation and enabling effective decision making. The successful candidate will work alongside scientists in discovery, and clinical groups to design new experiments, analyze and interpret data, and effectively communicate results. Data analysis will focus on systems biology and network pharmacology. Impactful results will be used in determining the efficacy and safety of compounds, impacting dose decisions, selecting novel indications for targets and compounds, biological interpretation of results, and the identification of prediction biomarker for patient stratification and precision medicine. The successful candidate will represent the department on cross-functional disease focused teams.

Team members are encouraged to publish and to develop and maintain a strong professional network within the internal and external scientific communities.

J2W:LI

J2W:BIO

J2W:NSJ

Qualifications

The successful candidate will have at a minimum a PhD degree in Systems Biology, Immunology, Epidemiology, Statistics, Computational Biology, Bioinformatics or related field combined with a minimum of 4 years of academic and/or industry experience. The ability to apply data mining, machine learning, and emergent algorithms to pre-clinical, clinical and health outcomes data is required. Experience in network analysis and/or modeling biological pathways is preferred.

Experience in handling exploratory data such as microarrays, protein arrays, ELISA, MS or NGS is required. Proficiency in software such as SAS, S-PLUS, R, Omicsoft, Cytoscape is desired. A strong publication track record is desired. The ability to work independently, communicate clearly, collaborate effectively and establish effective and trusted partnerships with internal and external scientists is essential.

This position is based in La Jolla, CA and may require up to 5% travel (domestic & international).

BE VITAL in your career, Be seen for the talent you bring to your work. Explore opportunities within the Johnson & Johnson Family of Companies.

Primary Location:North America-United States-California-San Diego

Organization: Janssen Research & Development, LLC. (6084)

Apply here