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BACKGROUND:
Zymeworks is a fast-growing biotechnology company dedicated to the research, development and commercialization of best-in-class therapeutic bispecific antibodies and antibody drug conjugates for treatment of cancer and autoimmune diseases. Zymeworks is proud to have active collaborations with Merck & Co., Inc., Eli Lilly and Co., GSK and Celgene Corporation, and is committed to making a meaningful difference in the lives of patients.

RESPONSIBILITIES:
Zymeworks is seeking a Scientist, who will be responsible for developing statistical and bioinformatics tools for advancing our in-house technology platform for antibody engineering and therapeutic development. The position reports to the Technology Integration Team Lead.

Roles and Responsibilities:
* Develop and implement bioinformatics methods for application in protein engineering, optimization and antibody discovery.
* Develop and implement robust statistical and data mining techniques for the analysis of experimental and in silico data.
* Work with the Protein engineering and Therapeutics R&D teams to gather requirements and specifications for bioinformatics developments.
* Assist in data driven statistical analysis and validation of Protein Engineering and Preclinical experiments.
* Collaborate with the software development group for the implementation of user-friendly bioinformatics tools.
* Conduct analysis of genomic data from external data sources and literature supporting the discovery and characterization of targets and biomarkers.
* Assist with special projects and other duties as assigned.
* Participate in the development of rigorous documentation and standard operating procedures.

REQUIREMENTS:
Required Qualifications and Experience:
* MSc or PhD in Bioinformatics, Mathematics, Computer Science or related field
* Strong skills in protein informatics and protein science, including protein sequence analysis and genomic analysis
* Strong background in statistical analysis with experience in R, SPSS or other statistical packages
* Experienced in implementing and validating protein informatics methods
* Experienced in manipulation and analysis of high-throughput sequencing data
* Experienced in analyzing biological and genomic databases such as TCGA, ICGC etc.
* Experienced in the application of machine learning algorithms for data analysis
* Proficient in Python or any other programming language
* Demonstrated ability to effectively communicate in spoken and written English

Additional Qualifications and Experience:
* Knowledge of molecular simulations
* Experienced in biostatistics and clinical data analysis

ABOUT US:
Why Work for Us?

Zymeworks' employees are passionate, engaged and extremely motivated to succeed. Our environment is progressive, collaborative, focused and pragmatic.

Compensation is on par with industry standards and commensurate with experience and includes an extended benefits plan and participation in the employee stock-option plan.

To learn more about Zymeworks Inc. and our current openings, please visit our website at http://www.zymeworks.com

HOW TO APPLY:
If you are interested in applying for this position, please do so through our online jobs board at [link]. Although we appreciate all applications, due to the high volume of responses only those selected for interviews will be contacted.

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

Knowledge, Abilities, Skills:
Excellent verbal and written communication, interpersonal, and observational skills. Experience in Microsoft Word, Excel, and other computer software/databases. Theoretical knowledge of genetics , epigenetics, statistics, and molecular biology. .. Extensive experience with gene-expresslon micro array and proteomics data. Must be detail--oriented with strong logic, problem solving, and organizational skills. Proficiency in a high-level statistical language such as R, or SAS. Fluency with "Bio-conductor" packages for micro array data analysis. Experience in computer programming and use of biological software applications; database structure and management. Ability to work independently; make responsible decisions; lift/carry up to 40 pounds; maintain confidentiality.

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

LOCALE:
Augusta, Georgia

COMPENSATION:
Salary: $48,341.00/Annually

HOW TO APPLY:
Visit http://www.augusta.edu/jobs Click University Careers Search for job opening id 11147

DEADLINE:
Open until filled

POLICY:
Augusta University and AU Health is an equal opportunity employer including individuals with disabilities and veterans.

BACKGROUND:
We seek a postdoctoral fellow for a project that aims at finding solutions to the high fatality rate of pancreatic cancer by analyzing genomic and biologic subsets of disease, mechanisms of tumorigenesis, and tailored treatment options. The position involves integrative data analysis of PanCuRx, the largest genomic profiling project for pancreatic cancer, as part of the International Cancer Genome Consortium. Molecular profiles include whole-genome sequencing and RNA-seq for a large cohort of micro-dissected patient tumors and patient-derived xenografts. The project includes high-throughput discovery of prognostic and predictive biomarkers, molecular subtyping and drug repurposing.

For representative projects please consider the following references:

Genomic analyses identify molecular subtypes of pancreatic cancer
Bailey P, Chang DK, Nones K, ..., Waddell N, Biankin AV, Grimmond SM.
Nature. 2016 Mar 3;531(7592):47-52. PMID: 26909576

Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes
Biankin AV, Waddell N, ... , Pearson JV, McPherson JD, Gibbs RA, Grimmond SM.
Nature. 2012 Nov 15;491(7424):399-405. PMID: 23103869

Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy
Collisson EA, Sadanandam A, Olson P, Gibb WJ, Truitt M, Gu S, Cooc J, Weinkle J, Kim GE, Jakkula L, Feiler HS, Ko AH, Olshen AB, Danenberg KL, Tempero MA, Spellman PT, Hanahan D, Gray JW.
Nat Med. 2011 Apr;17(4):500-3. PMID: 21460848

REQUIREMENTS:
Doctorate in computational biology, computer science, engineering, statistics, or physics. Published/submitted papers in 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. Expertise in R, C/C++ 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 (Sun Grid Engine/Torque).

ABOUT US:
Lab:
Our research focuses on the development of novel computational approaches to best characterize carcinogenesis, drugs' mechanisms of action and their therapeutic potential, from high-throughput genomic data. We have strong expertise in machine learning applied to biomedical problems, including the development of robust prognostic and predictive biomarkers in cancer. Our large network of national and international collaborators, including clinicians, molecular biologists, engineers, statisticians and bioinformaticians, uniquely positions us to perform cutting-edge translational research to bring discoveries from bench to bedside. See our lab website for further information: http://www.pmgenomics.ca/bhklab/

Lab director:
Dr. Benjamin Haibe-Kains, has over 10 years of experience in computational analysis of genomic data, including genomic and transcriptomic data. He is the (co-)author of more than 95 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 PANCURX -- BHKLAB". All documents should be provided in PDF. Deadline for submission: July 1, 2016

BACKGROUND:
We seek a postdoctoral fellow to develop novel integrative approaches to develop molecular predictors of response to approved and novel drugs for breast cancer. We have generated high-dimensional molecular (mutations, copy number variations, transcriptomics, epigenomics) and pharmacological (drug sensitivity) profiles of a large panel of breast cancer cell lines. We are profiling patient-derived xenografts as well, therefore providing 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, 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++ 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 (Sun Grid Engine/Torque).

ABOUT US:
Lab:
Our research focuses on the development of novel computational approaches to best characterize carcinogenesis, drugs' mechanisms of action and their therapeutic potential, from high-throughput genomic data. We have strong expertise in machine learning applied to biomedical problems, including the development of robust prognostic and predictive biomarkers in cancer. Our large network of national and international collaborators, including clinicians, molecular biologists, engineers, statisticians and bioinformaticians, uniquely positions us to perform cutting-edge translational research to bring discoveries from bench to bedside. See our lab website for further information: http://www.pmgenomics.ca/bhklab/

Lab director:
Dr. Benjamin Haibe-Kains, has over 10 years of experience in computational analysis of genomic data, including genomic and transcriptomic data. He is the (co-)author of more than 100 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 BCPRED -- BHKLAB". All documents should be provided in PDF.

DEADLINE:
Applications must be submitted before July 1st 2016.
RESPONSIBILITIES:
Description of the content of the position in relation to:
* The candidate is expected to oversee and run the computational parts of a whole genome sequencing pipeline for nationwide screening of childhood oncology patients in a diagnostic setting. He/she will also be driving data analyses in the underlying research group working with germline predispositions towards childhood leukaemia aetiology, biology, and drug disposition and response.
* The role will involve data integration and machine learning across genomic, transcriptomic, clinical, epidemiological data and prior biological knowledge. It is expected in the future to also include metagenomic and metabolomic data.
* The candidate will supervise, coordinate, and train junior researchers within the field. The coordination role will also include our emerging industrial collaborations.

The position will be based at the Technical University of Denmark in the Functional Human Variation group headed by Associate Professor Ramneek Gupta, in close collaboration with Professor MD Kjeld Schmiegelow at the Department of Paediatrics and Adolescent Medicine, Rigshospitalet.

Other content of the position:
* It is expected that the candidate will use his experience for actively contributing to research based teaching programmes, as well as participating in grant writing for growing activities in the area.
* As WGS becomes mainstream in the clinic, the candidate will participate in ethical/social discussions and technical coordination of large data pipelines across multiple geographical sites.

REQUIREMENTS:
* Hold a PhD degree or equivalent as well as academic qualifications equivalent to those obtained by holding a position as Researcher or Postdoc.

Further qualifications:
Applicants should hold a PhD in bioinformatics, biology, engineering, computer science or similar, with 2-5 years of postdoctoral experience. The candidate must have strong computational skills and prior experience with large data sets, Unix command line environments, as well as either Perl, Python or a comparable scripting language. R and relational database skills are considered a strength, as is experience with application of statistics, systems biology, machine learning and multi-omics data integration methods. A strong background in biology is a prerequisite, preferably with experience in oncology.

Strong communication skills, participating in academic assessment work and the ability to interface across multiple disciplines are required, as well as the ability to work through several priorities. The applicant must be a team player and strong in written as well as spoken English.

It is expected that the candidate is experienced with genome wide association studies, targeted and whole genome sequencing.

PREFERENCES:
* Hold a PhD degree or equivalent as well as academic qualifications equivalent to those obtained by holding a position as Researcher or Postdoc.

TERMS:
The period of employment is for 2 years with possibility of extension.

HOW TO APPLY:
Please visit http://www.career.dtu.dk

Further information may be obtained from Associate Professor Ramneek Gupta ramneek[at]cbs.dtu.dk or Professor MD Kjeld Schmiegelow kjeld.Schmiegelow[at]regionh.dk

You can read more about the department and research groups on http://www.cbs.dtu.dk [link], http://www.rh.dk and http://goo.gl/Qxsutl.

DEADLINE:
9 May 2016

BACKGROUND:
The Molecular Profiling group is looking for a Scientist to analyze immuno-oncology (I/O) clinical, preclinical, and public profiling data to support I/O target mechanism studies, biomarker and target discovery & development, as well as implement and develop I/O data analysis pipeline using cutting-edge algorithms and statistically sound methodologies.

RESPONSIBILITIES:
* Collaborate with immuno-Oncology (I/O) scientists in preclinical and clinical departments to design profiling experiments and draft data analysis plan
* Communicate results with I/O scientists, refine analysis based on feedback, and plan/prioritize follow-up experiments
* Prepare clear, concise and easy-to-understand presentations and documentations for collaborators, senior management and government agencies
* Analyze proprietary and public profiling data to support I/O targets and biomarker discovery
* Analyze proprietary tox profiling data to support Tox studies
* Analyze proprietary clinical profiling data to support Clinical studies
* Contribute to team effort of developing I/O data analysis strategies and establishing I/O data analysis best practices
* Participate in team effort of organizing and integrating proprietary and public molecular profiling data to enable data sharing and visualization for bench scientists

REQUIREMENTS:
This position requires a minimum of a PhD in a related field, and preferably 2+ years postdoctoral experience. Additional requirements include, but are not limited to:
* Expertise in immuno-oncology
* Expertise in NGS data analysis to detect gene expression, variants, copy number variation, fusion and alternative splicing
* Strong preference for R power users, especially DeSeq 6+
* Strong preference for experience in Single Cell Sequencing
* Experience with analyzing cancer profiling data in the public domain such as TCGA
* Experience with a variety of molecular profiling platforms such as microarray and NGS, and their data analysis best practices
* Familiarity with TCR repertoire sequence analysis, antigen prediction, modeling (e.g., machine learning) and network building (e.g. gene regulation networks): Keen interest and determination to be at the cutting-edge of algorithms and model building
* Familiarity with bioinformatics tools and software such as R/Matlab, Linux, Perl, Python, Ruby, Java, Ruby on Rails, SQL, web programming

PREFERENCES:
PhD with 2+ years postdoctoral experience analyzing TCR repertoire.

TERMS:
Regular, full Time position eligible for employee benefits.

LOCALE:
Tarrytown, New York.

COMPENSATION:
Commensurate to experience.

HOW TO APPLY:
Please visit [link]

DEADLINE:
No deadline.

POLICY:
EEO

BACKGROUND:
The Regeneron Genetics Center is a wholly-owned subsidiary of Regeneron Pharmaceuticals organized to collaborate with health systems and research groups to elucidate, on a large scale, genetic factors that cause or influence a range of human diseases. The Analytical/Statistical Genetics team in the Genetics Center is responsible for the design, statistical analysis, and interpretation of all genetic studies conducted by the center.

RESPONSIBILITIES:
* Perform quality control checks and data management of large genomic sequencing and phenotypic datasets derived from electronic health records, display and report summary statistics for these data, creating analysis-ready datasets by implementing study designs developed for population and family-based projects, implementing inclusions / exclusions, and carrying out phenotype adjustments and transformations
* Carry out statistical genetic analyses to determine genotype-phenotype relationships including regression, logistic regression, rare variant aggregation tests, family-based tests in pedigrees and trios for quantitative biomarkers and disease traits
* Work with computational biologists and others to develop and provide programming support for the creation of algorithms and automated pipelines for analysis of NGS and array data
* Support the creation of queryable databases summarizing results across multiple projects

REQUIREMENTS:
This position requires a minimum of an MS, or BS with 3 years relevant experience in Bioinformatics, Biostatistics, Genetic Epidemiology, Genetics, Genomics or related field. Additional requirements include:
* Experience with handling & managing large datasets/software associated with high-throughput instruments for genetics/genomics
* Excellent oral and written communication skills as well as documented skills in communicating scientific findings
* Strong work ethic and enthusiasm for collaborative science
* Experience working independently and in a team environment
* Statistical knowledge and experience as well as strong background in computer programming
* Strong knowledge in use of statistical software (e.g. R, Perl/Python, etc.), with ability to perform statistical analysis, interpretation, and effective communication results

PREFERENCES:
Strong Statistical knowledge with direct experience analyzing NGS data (i.e. Illumina HiSeq, PacBio).

TERMS:
Regular, full Time position eligible for employee benefits.

LOCALE:
Tarrytown, New York

COMPENSATION:
Commensurate to experience.

HOW TO APPLY:
Please visit [link]

DEADLINE:
No deadline.

POLICY:
EEO

BACKGROUND:
We are seeking a creative, self-motivated scientist to join VelocImmune -- the Antibody Generation Technology and Discovery Centers of Regeneron Pharmaceutical Inc. in Tarrytown, NY.

RESPONSIBILITIES:
The successful candidate will support on-going, and initiate new, research projects towards generating, identifying, characterizing, and modifying novel antigen receptor molecules based on analyses of Next Generation Sequencing (NGS) data. The ideal candidate should have a strong combined background in computer science, immunology and molecular biology, as well as experience in bioinformatic analyses of NGS data from different sequencing platforms.

REQUIREMENTS:
This position requires a minimum of a Ph.D degree in Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering or related fields, with 1-3 years research experience analysis of NGS data. The candidate needs to be familiar with most up-to-date sequencing platforms (e.g. Iliumina Mi-seq, Hi-seq, Pac Bio, Ion torrent, etc). Solid knowledge of scripting languages (Perl, Python, R or Ruby), SQL and Unix OS are strictly required. The candidate should also understand basic lab technologies in molecular biology, especially for NGS sample preparation. Experience in computational structural biology is strongly preferred. Candidate should have good oral and written communication skills and a clear sense of organization, purpose, and accountability.

PREFERENCES:
Direct experience with immunogenomics or antibody repertoire.

TERMS:
Regular, full Time position eligible for employee benefits.

LOCALE:
Tarrytown, New York

COMPENSATION:
Commensurate to experience

HOW TO APPLY:
Please visit [link]

DEADLINE:
No deadline

POLICY:
EEO

BACKGROUND:
The Rady Children's Institute for Genomic Medicine brings together world-class scientists and clinicians into a shared research infrastructure, one that will enable them to accelerate the translation and implementation of research discoveries for prevention, diagnosis, treatment, and ultimately cures for childhood diseases. Under the direction of world-renowned researcher Stephen Kingsmore, M.D., D.Sc., the Institute seeks to translate research findings into new clinical tests and treatments to improve patient outcomes, enhance the knowledge in this field among current and future healthcare providers and generate and share data and discoveries with other researchers.

We have an immediate opening a Bioinformaticist.

RESPONSIBILITIES:
We are looking for superstar computational-biologists/bioinformaticists who have a demonstrated experience in a large-scale production setting to deploy, maintain and evolve the bioinformatics framework for a high-throughput; ultra-rapid turnaround time whole-genome sequencing based clinical setting. You will have the opportunity to be a part of a team that'll build the infrastructure ground up using the latest and greatest of the technologies in infrastructure, data storage and analytics, with a strong focus on automation and integration. The environment is highly cross-functional, with a rich medical research heritage and multitude of collaborations with the biotech industry, academic institutions and federal programs. The end deliverable from your work will tangibly influence the quality of life of the children being seen at the hospital making your work experience exciting, challenging, rewarding and meaningful. And to top it all, you'll be located in one the finest cities in the country, with a wonderful year-round weather and a multitude of outdoor activity options.

Depending on the level of relevant experience, your candidature will be considered for the (junior/senior) bioinformaticist positions.

REQUIREMENTS:
Minimum Qualifications:
Bachelor's degree in Computer Science, Information Systems, Bioinformatics or Life Sciences, including fields, i.e., Biology, Molecular Biology, Genetics.
Two to five years' experience analyzing next-gen sequencing data (Illumina whole genomes or exomes): BCL to annotated variants
Two to five years' experience developing and maintaining pipelines for 24x7 automated bioinformatics analyses
Two to five years' experience integrating pipeline with the LIMS
Two to five years' experience working with and understanding of open source NGS tools like bwa, samtools, vcftools, picard, GATK, Freebayes, ANNOVAR, VEP, etc.
Two to five years' experience incorporating dbGaP, 1000 genomes, ExAC, Clinvar, OMIM, etc
Two to five years' experience with unix/linux operating system
Two to five years' experience software development using any of Ruby, Python, Perl, Bash
Two to five years' experience working with SVN, git
Two to five years' experience working with HPC scheduling systems such as Moab, TORQUE, LSF, OpenGrid Engine, etc.

PREFERENCES:
Preferred Qualifications:
Demonstrated experience working in CNV and SV calling
Demonstrated experience in phenotype-genotype integration frameworks
Demonstrated experience working with cloud-based development or analysis
Demonstrated experience working in a CAP/CLIA environment
Demonstrated experience performing benchmarking of bioinformatics tools
Demonstrated experience developing and working with Docker and AWS images
Demonstrated experience in database development using MySQL, or any NoSQL flavors
Demonstrated experience in setting up and computing on a hadoop cluster
Demonstrated experience programming using C or Java

HOW TO APPLY:
For more information and to apply: [link]

POLICY:
EEO/AA/Minorities/Females/Disabled/Veterans

BACKGROUND:
A 3 year postdoctoral position is available within Professor Caroline Dive's Clinical and Experimental Pharmacology Group to conduct cutting edge translational research on Small Cell Lung Cancer (SCLC). The focus of our research is translational medicine with an emphasis on next-generation sequencing in the characterisation of tumour heterogeneity, as well as prognostic or predictive biomarker discovery to aid novel therapeutics and clinical efficacy.

RESPONSIBILITIES:
The successful candidate will focus on unique lung cancer circulating tumour cell (CTC) derived explant tumour models (CDX) and analysis of CTCs isolated from lung cancer patients (see Hodgkinson et al., Nature Medicine, 2014). We have developed a library of CDX representing the full spectrum of chemosensitivity found in SCLC patients. These CDX have been used to generate an integrated oncogenomic datatset with the intent of developing novel platforms to investigate tumour response to both standard-of-care and novel targeted agents. This post, core funded by the CRUK Manchester Institute, sits within the CRUK Lung Cancer Centre of Excellence, a partnership between Manchester and University College London with associated opportunities for collaboration.

REQUIREMENTS:
The successful applicant should have a PhD in computational biology, mathematics, computer science or a related discipline. A background in cancer biology is desirable but not required.

TERMS:
Duration of post: 3 years

LOCALE:
We are situated in Manchester, England, a vibrant and dynamic city that is surrounded by beautiful countryside and has excellent transport links both nationally and internationally.

COMPENSATION:
Salary in the range of GBP 30,000 - GBP 39,800 (dependent upon qualifications and experience)

ABOUT US:
The Cancer Research UK Manchester Institute (http://www.cruk.manchester.ac.uk), an Institute of The University of Manchester (http://www.manchester.ac.uk), is a world-leading centre for excellence in cancer research. The Institute is core funded by Cancer Research UK (http://www.cancerresearchuk.org), the largest independent cancer research organisation in the world. We are adjacent to The Christie NHS Foundation Trust (http://www.christie.nhs.uk), one of the largest cancer treatment centres in Europe. These factors combine to provide an exceptional environment in which to pursue basic, translational and clinical research programmes.

Our aim is to understand the fundamental basis of cancer and apply that knowledge to developing new treatment strategies for cancer patients. Our advanced research programmes span a spectrum of cancer research, from the molecular and cellular basis of cancer through to drug discovery, translational research and clinical trials.

The Institute has outstanding laboratory facilities and exceptional core services, including next generation sequencing, microarrays, confocal microscopy, bioinformatics, histology and mass-spectrometry.

HOW TO APPLY:
Informal enquiries should be directed to Professor Caroline Dive, email: caroline.dive[at]cruk.manchester.ac.uk or her Preclinical Pharmacology Team lead Dr Kris Frese, email: kris.frese[at]cruk.manchester.ac.uk.

To apply for this position please visit our website: http://www.cruk.manchester.ac.uk

For applicants who are unable to download this information from our website, please contact HR department on 0161 446 3231, email: jobs[at]cruk.manchester.ac.uk to have this information sent by post.

Job Ref: MI/15/80-2

DEADLINE:
Closing date: 18th May 2016.

DESCRIPTION:
An exciting opportunity exists to lead bioinformatics and act as the interface between biologists and data, within the School of Biological Sciences (SBS) at the University of Auckland. The University recognises that the future of biology will be determined by big data, and that future leaders in the field are finding answers to complex problems, problems faced by researchers as well as by society, by applying biological knowledge to data.

SBS is ranked in the top 100 globally (QS World University Rankings by Subject 2015). School members conduct research across several research centres and three groups: Biomedical and applied biology, Cellular, molecular and organismal biology, and Ecology, evolution and behaviour (see bit.ly/1qPscYn). Emerging opportunities for bioinformatics research and collaboration exist with the primary resource sector and personalised medicine, working with industry on transformational, applied work to improve social, environmental and economic well-being and sustainability.

Applicants must have a strong record of research and teaching in bioinformatics and computational biology, including the ability to integrate multiple types of large scale data in creative ways. The right person will enjoy working as a focal point in individual and collaborative types of projects involving large scale datasets and building on existing areas of strength within the department, including ecology and evolution, biomedical science and drug discovery, genomics and cell biology. Candidates must bring a demonstrated ability to pursue active and viable research in a multi-disciplinary manner.

HOW TO APPLY:
To obtain full details and for a confidential discussion, prospective candidates should contact the search firm assisting the University, via email to Bioinformatics[at]desailly.com.au

Full applications addressing the selection criteria and nominating referees must be submitted to the email address above.

BACKGROUND:
DuPont has a rich history of scientific discovery that has enabled countless innovations and today, we're looking for more people, in more places, to collaborate with us to make life the best that it can be. As a member of the Business Intelligence team, the Research Scientist -- Visualization Specialist will provide leadership and drive delivery of scientific data visualizations for Pioneer research reporting. The successful candidate will be able to work closely with research scientists to elicit requirements and design/propose effective visualizations of complex data sets that provide insight to our research community. Geospatial, bioinformatics, breeding populations, and weather visualizations are a few of the many possible examples. Creative individuals who enjoy tackling complex problems and working collaboratively with researchers from diverse backgrounds are strongly encouraged to apply.

RESPONSIBILITIES:
* Provide scientific leadership and creativity when initiating, designing, and evaluating data visualizations for research reporting
* Evaluate complex data sets from diverse areas of research and translate them into functional, effective visualizations that enable researchers to gain scientific insight and make decisions
* Translate reporting needs into technical requirements that BI software developers can use to create visualizations and integrate them into reports
* Work iteratively with scientists to gauge effectiveness of visualizations and make modifications if necessary
* Remain on the cutting-edge of scientific and biological advancements by participating in professional meetings and career development activities

REQUIREMENTS:
* PhD in plant biology, genetics, genomics, molecular biology, or a related scientific field
* Minimum 5 years of industry-related experience preferred, which may include post-doctoral experience
* Experience creating effective data visualizations of complex scientific data
* Strong aptitude with computers, data organization, and data analysis
* Strong communication and interpersonal skills
* Experience working with business intelligence and/or reporting tools like Microstrategy or TIBCO Spotfire is a plus

LOCALE:
Johnston, IA

HOW TO APPLY:
Apply online at [link]

DEADLINE:
06/14/2016

BACKGROUND:
Pneumococcal diseases are a huge burden on human health but are potentially preventable through vaccination. The Sanger Institute and partners at CDC and Emory University are funded by the Bill and Melinda Gates Foundation to perform a global genomics study to learn about the effect that anti-pneumococcal vaccines have on evolution of Streptococcus pneumoniae, the pathogen that they are designed to combat. Over 20,000 S. pneumoniae genomes are being sequenced representing bacteria from countries across the world, before and after introduction of anti-pneumococcal vaccines. Further information about the project is available athttp://www.pneumogen.net

RESPONSIBILITIES:
We wish to recruit a postdoctoral bioinformatician to help drive the analysis of this important data set. They will work as part of a multi-disciplinary team and be responsible for handling the analysis or large genomic data sets to deliver key insights. They will be involved end-to-end requiring interactions with members of the international project partner group and members of other teams within the Sanger Institute. They will work with other team members to interpret findings and will be responsible for translation into scientific publications.

REQUIREMENTS:
The ideal applicant will have a PhD in microbiology, microbial bioinformatics, or a related discipline, with demonstrated expertise in the analysis of bacterial genomes and handing very large data sets. Experience with at least one scripting language would be an advantage. They will join a lively group that combines the expertise of microbiologists, phylogeneticists, bioinformaticians and programmers.

For any questions about the position, please contact Stephen Bentley (sdb[at]sanger.ac.uk)

Essential Skills:
* PhD in microbiology, microbial bioinformatics, or a related discipline
* Demonstrated expertise in the analysis of bacterial genomes and handing very large data sets
* Proven track record of publishing high impact papers in reviewed journals
* Excellent communication skills, ability to interact with a cross section of people and develop and maintain good working relationships
* Keen to learn and share scientific ideas
* Experience of undertaking research work within large multidisciplinary teams
* Attention to detail
* Excellent problem solving

Ideal Skills:
* Experience with at least one programming or scripting language
* Experience of working at Containment Level 2

Other Information:
Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training.

TERMS:
Fixed-term until the end of 2018

COMPENSATION:
PDF Salary range: GBP 30655 to GBP 38428 per annum plus excellent benefits.

Our Benefits include: Defined Benefit Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Nursery and 25 days Annual Leave plus Bank Holidays. We also have a gym, two cafes, a nursery, 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:
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 Trust Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), the Centre for Therapeutic Target Validation, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre. It is an excellent environment in which to work and collaborate with researchers on campus and around the world and benefit from cross-fertilisation of ideas.

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:
WTSI welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

Please include a covering letter and CV with your application.

Application link: [link]

DEADLINE:
Closing date for applications: 12th May 2016

SUMMARY:
The Max Planck Institute of Immunobiology and Epigenetics in Freiburg, Germany has an opening for a Bioinformatician to start as soon as possible.
The position is immediately available until 31st of August 2017.

RESPONSIBILITIES:
This position will contribute to the German Epigenom Program (DEEP), which is a large interdisciplinary network of leading international researchers. As part of this BMBF-funded project, our group generates high quality reference epigenomes to identify epigenetic contributions to human diseases, such as obesity and inflammatory diseases.

You will have immediate access to the latest data from our in-house deep-sequencing facility (HiSeq-2500, NextSeq-500) and help our partners with experimental design, primary analysis and the interpretation of genome-wide data. Responsibilities include the quality control according to latest international standards, as well as help with software developments and optimization for genome-wide analyses.

Your tasks:
* Support epigenome studies and comparative analyses
* Implement standardized workflows and quality control for deep-sequencing analysis
* Experimental design and consultation

REQUIREMENTS:
Your qualifications:
We are looking for motivated team players with strong communication skills and the desire to work in a dynamic environment. The successful applicants will have proven experience with deep-sequencing analysis (e.g. ChIP-seq), computational skills, and a solid background in statistical data analysis.
* MSc in bioinformatics or related field (PhD is an advantage)
* fluency in English

COMPENSATION:
We offer:
Based within close vicinity to both France and Switzerland, our institute hosts a vibrant community of international researchers, state-of-the-art facilities, and modern office spaces. Salary will be based on previous experience according to TVöD guidelines.

HOW TO APPLY:
Have we sparked your interest? Please submit your complete application (cover letter, CV, contact details of referees) directly at http://www.ie-freiburg.mpg.de/jobs until 9th of May 2016.

BACKGROUND:
Are you ready to develop and apply cutting-edge single cell analytical tools? Interested in solving the enigmas of thymic epithelial cell biology?

We are looking for an enthusiastic, highly motivated Postdoctoral Fellows who will develop their career by contributing to our study and joining a team of internationally renowned researchers at the Sanger-EBI Single Cell Genomics Centre, investigating the fascinating properties of thymic epithelial cells (TEC).

TEC are unique because they express almost the complete set of protein-coding genes. Single cell approaches are only now able to answer important questions central to a molecular understanding of this promiscuous gene expression (PGE) in TEC. The planned research programme will use unbiased genome-wide transcriptome and epigenome, and selected protein expression analyses at single cell resolution to map intracellular and population-wide expression landscapes. This project is funded by a Wellcome Trust Strategic Award ("The Homunculus in our Thymus: A Cellular Genomics Approach", PIs G. Holländer and C. Ponting).

The candidate will be a highly talented postdoctoral fellow with strong statistical and/or analytical skills. Excellent knowledge of current issues in single cell data generation and analysis along with understanding of statistical theory are highly desirable.

This position offers scope for applying these methods to questions directly relevant to TEC biology as well as the development of new single cell transcriptomic analytical approaches.

Other Information:
As a world leader in human genomics, genome informatics, and whole genome DNA sequencing, the Wellcome Trust Sanger Institute (WTSI) is now focusing large-scale genotyping, DNA sequencing, and mathematical analysis on illuminating the biology of different cell types.

Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. The post is a three year fixed-term contract.

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

PREFERENCES:
* Extensive programming experience and computational analysis of next generation sequence data
* Good experience with (single-cell) DNA- and RNA-seq analytical approaches
* Appreciation of current bioinformatics/computational approaches
* Experience in supervising and training other laboratory personnel in specialized techniques and presenting results at scientific conferences (posters and talks)
* Training in statistical methods appropriate for biological research and experience in genomics approaches and in method development would be advantageous.

COMPENSATION:
PDF Salary range: GBP 30655 to GBP 38428 per annum plus excellent benefits.

Our Benefits include: Defined Benefit Pension Scheme, Group Income Protection, Healthcare scheme, Childcare Vouchers, Nursery and 25 days Annual Leave plus Bank Holidays. We also have a gym, two cafes, a nursery, 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 for 3 years

ABOUT US:
The Sanger Institute is a charitably funded research centre that applies the power of genomics to uncover the basis of genetic and infectious disease. We conduct science at a scale and speed that sets our research apart. Our passion is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens.

The Institute is located near Cambridge on the stunning Wellcome Trust Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), the Centre for Therapeutic Target Validation, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre. It is an excellent environment in which to work and collaborate with researchers on campus and around the world and benefit from cross-fertilisation of ideas.

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 [link]

Please include a covering letter and CV with your application.

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