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    DESCRIPTION

    The School of Science, Engineering, and Technology (SET) at St. Mary's University, a private, four-year Catholic university located in San Antonio, Texas invites applications for a Tenure-Track position in Bioinformatics at the Assistant Professor level, with the ability to develop and teach a broad range of courses across an undergraduate bioinformatics curriculum. The position is currently available, and can begin immediately upon completion of the hiring process. This position requires a Ph.D. in Bioinformatics or a related field (e.g., Biology, Computer Science, Mathematics), and a commitment to excellence in teaching, research, program development and evaluation, teamwork, and service. ABD's will also be considered. The successful candidate will have at least five years' experience in higher education instruction and program development/evaluation, with strong teamwork skills and demonstrated ability to work collaboratively.

    With support from a U.S. Department of Education Hispanic Serving Institution (HSI)-STEM grant, St. Mary's University is seeking to coordinate a newly created Bachelor of Science degree program in Bioinformatics. The successful candidate for this position will serve as the Bioinformatics Specialist and work with grant staff and St. Mary's faculty in the Biology, Mathematics, and Computer Science departments to implement the new Bioinformatics degree, and develop and pilot (teach) courses that will form the foundation for the new program. The Bioinformatics Specialist will also work with grant staff to develop articulation agreements with local 2-year colleges. The Bioinformatics position will become institutionalized, remaining at StMU as tenure-track program faculty after the grant is completed.

    Opportunities for multi-disciplinary research exist within SET, and for more information about the school, refer to the webpage at www.stmarytx.edu/academics/set/. The area of specialization for the Bioinformatics Specialist will vary depending on the successful candidate's background. The successful candidate will demonstrate the following personal attributes: strong oral and written communication skills; highly organized; proactive; capable of working independently, yet able to work in a team; the ability to establish rapport with a range of constituents across the campus; and the ability to work with a diverse student body in a multicultural environment.

    COMPENSATION

    Salary is commensurate with qualifications and experience and is accompanied by a strong benefits package.

    ABOUT US

    St. Mary's is the oldest Catholic university in the Southwest, and continues to advocate the Marianist mission of academic excellence, service, and leadership (www.stmarytx.edu/about/). Founded in 1852 by the Society of Mary (www.stmarytx.edu/camp[...]ists/), St. Mary's is a comprehensive Catholic and Marianist university with a strong tradition of integrating liberal arts with professional studies. St. Mary's enrolls 3,600 students in a diverse university setting with four schools, more than 40 academic programs including Ph.D. and J.D. programs, and numerous pre-professional programs. Regardless of background, the successful candidate must be ready and willing to contribute to the advancement of the St. Mary's educational mission (www.stmarytx.edu/abou[...]sion/). St. Mary's University is a Hispanic-Serving Institution.

    HOW TO APPLY

    For full consideration, applications should be received by August 9, 2019; however, applications will be considered until the position is filled. Applications can be found at stmarytx.applicantpro.com/jobs/. Applicants should electronically submit the employment application, a vita, teaching and research interest statement, and evidence of experience with laboratory equipment in the areas of emphasis. Please address all documentation to Dr. David R. Turner, Search Committee Chair. Also, please arrange to have three (3) letters of reference sent to David Turner at dturner2[at]stmarytx.edu. Incomplete applications may not be considered. Review of applications will begin on August 9, 2019 and will continue until a suitable candidate is identified.

    POLICY

    St. Mary's University is an Equal Opportunity Employer. All qualified applicants are welcome, and we actively encourage minorities and women to apply. Any offer of employment will be contingent upon successful completion of a clear background check.

    RESPONSIBILITIES

    • Evaluate and test new software packages and algorithms.
    • Develop custom solutions for genomic and metagenomics sequence analysis, data visualization.
    • Develop and maintain automated sequence analysis workflows.
    • Conduct data mining and data analysis to support different programs with a focus on NGS analysis efforts.
    • Demonstrate ability to multitask project objectives, understanding goals and their priorities.
    • Interpret and summarize analysis results in reports for presentation as well as documentation in electronic notebook.
    • Present research findings in lab, group, team and department meetings/forums as appropriate.
    • Work efficiently as part of a team in a matrixed environment.

    REQUIREMENTS

    • Bachelor degree in biology, chemistry or other life sciences plus 4 years of experience OR Master's in Bioinformatics or similar field plus 2 years of experience
    • Knowledge of current bioinformatics approaches and databases
    • Demonstrated experience in NGS analysis and bioinformatics software development
    • Experience with pipeline development and maintenance
    • Familiarity with publicly-available tools, algorithms, and databases
    • Experience with programming languages and computational environments (including UNIX-style operating systems, command line interfaces, R/perl/python or similar, and SQL or other database software
    • Excellent verbal and written communication skills
    • Highly motivated with strong problem-solving skills, capable of working both independently and in multifunctional team settings

    PREFERENCES

    • Training or experience in microbiology/molecular biology of prokaryotes
    • Familiarity with publicly-available tools, algorithm and databases related to microbial genome analysis
    • Experience working in cloud-based computational environments
    • Demonstrated proficiency with PacBio/nanopore data analysis
    • Experience and skill in preparing research publications

    TERMS

    Full-time, indefinite

    LOCALE

    Pearl River, NY

    COMPENSATION

    Salary, Benefits and Bonus

    HOW TO APPLY

    Please visit pfizer.wd1.myworkdayjobs.com/Pfiz[...]453-1

    DEADLINE

    Open until filled

    RESPONSIBILITIES

    About the role:
    We are currently looking for a highly motivated Senior Computational Chemist to join the Drug Discovery Unit. The aim of this post is to employ computational chemistry and cheminformatics methodologies to provide timely support for research decisions made by medicinal chemistry teams on both active and early portfolio projects. Good multi-tasking and time-management skills will be critical, as this scientist will support multiple projects with regular cross-discipline interactions.

    The Drug Discovery Unit employs state-of-the-art facilities directed toward the discovery of novel, clinically relevant treatments for a variety of different cancer types. Details of the Unit itself can be found at (www.cruk.manchester.ac.uk/Our-[...]overy).

    REQUIREMENTS

    About you:
    You should have a degree (or equivalent) in computational Chemistry, Chemoinformatics or related subject (or equivalent relevant experience) along with significant experience and a strong background using computational chemistry for drug discovery including SBDD, LBDD, homology modelling, QSAR analysis using machine learning approached, virtual screening, library design and protein dynamics.

    Why choose Cancer Research UK Manchester Institute?
    The Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk), an Institute of The University of Manchester (www.manchester.ac.uk), is a world-leading centre for excellence in cancer research. The Institute is core funded by Cancer Research UK (www.cancerresearchuk.org), the largest independent cancer research organisation in the world. We are currently situated at the internationally-renowned life sciences campus at Alderley Park in Cheshire England, 15 miles from Manchester, a vibrant and dynamic city surrounded by beautiful countryside.

    We are partnered with The Christie NHS Foundation Trust (adjacent to the CRUK MI Paterson Building) in South Manchester (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.

    TERMS

    Duration: 3 years fixed term contract

    COMPENSATION

    Salary in the range of £24,776 - £41,536 per annum (dependent upon experience)

    HOW TO APPLY

    To apply for this position please visit the job section of our website: www.cruk.manchester.ac.uk/recr[...]ncies (currently running alongside our main CRUK MI website page: www.cruk.manchester.ac.uk).

    For any informal enquiries about this post, please contact Dr Rae Lawrence via email: Rae.Lawrence[at]cruk.manchester.ac.uk

    DEADLINE

    The deadline for receipt of applications is: 18 July 2019.

    BACKGROUND

    The FDA's Center for Biologics Evaluation and Research (CBER), Office of Biostatistics and Epidemiology (OBE) is recruiting to fill a Staff Fellow, Computer Scientist position in the High Performance Integrated Virtual Environment (HIVE) Team.

    The HIVE is both a high-performance computing platform and a team of computational biologists, bioinformaticians, and programmers. The HIVE software provides an infrastructure for next-generation sequence (NGS) data analysis, distributed data retrieval, and a web-based advanced computational environment. The HIVE provides bioinformatics support services, algorithm development, and visualizations to assist researchers and regulators in answering complex scientific questions. The bioinformatics challenges faced by the center involves regulatory submissions for novel therapies such as gene transfer, microbiome therapies, and xenotransplantation with claims of effectiveness and safety for supported by a broad range of data (NGS, clinical, safety, etc.) that vary in complexity and quality. For more information, please visit github.com/FDA/fda-hive.

    RESPONSIBILITIES

    The selected candidate will collaborate with other FDA scientists, including physicians, laboratory scientists, life sciences professionals, biostatisticians and epidemiologists to develop and provide high-performance bioinformatics tools, natural language processing solutions, informative data visualizations, and core data analysis services. The following duties may include:
    • Supporting FDA researchers with bioinformatics questions and assess submissions to CBER that include NGS.
    • Using thorough knowledge of current trends in genomics, artificial intelligence, computational biology, and distributed computing platforms will be used to collaboratively develop insights into research and regulatory questions arising from the development, use, and regulation of biological products.
    • Conducting analyses of epidemiological data, next generation sequencing data, machine learning analyses, writing reports, and publications. Specific bioinformatics analyses used at CBER include whole genomes, whole exomes, RNA-seq analysis, sequence alignments, metagenomics, phylogenic analyses and the development and/or novel application of methodologies to generate analyses that support a science-based decision-making process.

    REQUIREMENTS

    Basic qualifications: Computer Scientist, RG-1550: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.

    Additional qualifications: Ph.D. or equivalent doctoral degree (M.D., D.V.M., etc.) is required.

    Required specialized experience: Developing and maintaining high-throughput bioinformatics infrastructures for cluster and cloud computing platforms, high performance computing, artificial intelligence, NGS clinical genomics, and bioinformatics. Also, prior experience with software engineering and specific training in bioinformatics is desired.

    Foreign education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit the U.S. Department of Education website for Foreign Education Evaluation.

    TERMS

    This position will be filled through the Service Fellowship program. The appointment is for up to four years with opportunities for renewal. Applications will be accepted from U.S. citizens or Lawful Permanent Residents (green card holders) only. No previous Federal experience is required. Appointment does not confer any entitlement to a position in the competitive service, and there is no entitlement to Merit Systems Protection Board (MSPB) appeals rights.

    LOCATION

    High-Performance Integrated Virtual Environment Team
    Office of Biostatistics and Epidemiology (OBE)
    Center for Biologics Evaluation and Research (CBER)
    FOOD AND DRUG ADMINISTRATION (FDA)
    Department of Health and Human Services (HHS)
    Silver Spring, MD

    COMPENSATION

    Salary commensurate with education/experience.

    HOW TO APPLY

    Submit electronic resume or curriculum vitae and supporting documentation to Brian Hively at brian.hively[at]fda.hhs.gov. Supporting may documentation include: bibliography, summary of research accomplishments, and names/contact information of three references. Applications will be accepted through August 13, 2019. Please reference Job Code: OBE-19-04-BIF.

    How You Will Be Evaluated:
    Once the job opportunity announcement closes on (08/13/2019), your application will be reviewed to determine your eligibility for Federal employment, and then whether or not you are qualified for this particular position. See the USAJOBS help article "What is the difference between eligibility and qualifications?" for more information. If you are referred to the hiring manager, you may be contacted at their discretion for an interview.

    Qualification determinations will be based on the information provided in your application and the requirements of the position. Please follow all instructions carefully. Errors or omissions may affect your eligibility.

    Conditions of Employment:
    • One-year probationary period may be required.
    • Background and/or Security investigation required.
    • If applicant is an U.S. Citizen, males born on, or after, December 31st, 1959 must be registered with the Selective Service System or have an approved exemption. Visit www.SSS.gov for more info.
    • Prohibited financial interest restrictions may apply. For additional information on the prohibited financial interests, please visit the FDA Ethics and Integrity Office website at www.fda.gov/Abou[...]t.htm.
    Opportunity: Python Developer @ An exciting company -- Oxford, UK
    Submitted by Eugene Mc Daid; posted on Wednesday, June 12, 2019

    Submitter

    BACKGROUND

    A superb opportunity is available for a talented Back-End Python Developer to join an exciting company, based in Oxford, working in the revolutionary field of Drug Design. This is a unique opportunity for a back-end focused developer, to work on an incredibly innovative, cloud based drug discovery platform.

    Using your proven skills in Python and cloud technologies, you'll be expected to work as part of a small but growing technical team, providing workflow solutions and strengthening the AWS infrastructure.

    RESPONSIBILITIES

    • Strengthen the AWS compute infrastructure that routinely runs large-scale algorithms.
    • Implementing our workflow solution to author, schedule and monitor tasks, workers and dependencies.
    • Generate high-quality, production-ready code.
    • Manage your workload to lead and innovate great ideas.
    • Work with your colleagues to define features and devise technical plans to implement them at scale.

    REQUIREMENTS

    • Minimum 2+ years software engineering experience
    • Proven experience of a relevant programming language (Python)
    • Experience running large-scale calculations or data processing pipelines using a HPC technology (Ideally AWS)
    • Experience with a modern workflow technology such as Airflow, AWS Batch, Luigi or more lightweight solutions like Bonobo
    • Experience with containerization technologies (Docker)
    • DevOps experience e.g. Chef, Puppet, Ansible, CloudFormation

    PREFERENCES

    Desired Skills and Experience:
    • Knowledge of Machine Learning / Artificial Intelligence
    • Experience with CI/CD technologies (Bonus Jenkins)

    COMPENSATION

    There are some great benefits available with this role as well as the opportunity to work with some of the best minds in genomics and software development.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Python, Back-End, Programmer, Developer, Cloud, AWS, infrastructure, Algorithms, HPC, Docker, Chef, Puppet, Ansible, ML, AI, CI, CD, Life Sciences, Oxford

    Submitter

    BACKGROUND

    A new opportunity is now available for a talented Full-Stack Software Engineer to join a growing Scientific company, based in Oxford. Using your background in Python, modern web frameworks and Front end technologies, you'll be working as part of a rapidly growing technical team, providing innovative solutions in the field of Drug Discovery.

    This is a fantastic opportunity for a Full-Stack Developer who wants to work on a project which not only uses the latest tools/technologies, but will make a genuine impact on patient lives. You'll be part of a passionate team of Software Developers, Data Scientists and Scientists, working in an agile and collaborative environment.

    RESPONSIBILITIES

    • Responsible for growing the application tier of the platform to scale up our portfolio.
    • Generate high quality, production-ready code.
    • Manage your workload to lead and innovate great ideas.
    • Collaborate with colleagues to define features and devise technical plans to implement them at scale.

    REQUIREMENTS

    • Advanced knowledge of a relevant programming language (Ideally Python)
    • Experience with a modern web-framework (Ideally Django)
    • Experience with a modern front-end framework (Angular2+)
    • HTML5, JavaScript, CSS (TypeScript, Sass), and experience in build tools based on node/ npm
    • Excellent knowledge of relational databases, SQL and ORM technologies (Oracle, PostgreSQL)

    PREFERENCES

    Desired Skills and Experience:
    • DevOps experience e.g. Chef, Puppet, Ansible, CloudFormation, Ansible)
    • Experience with cloud technologies and orchestration, AWS
    • Experience with docker, containerization, and container orchestration (Bonus ECS, Kubernetes, Fargate)
    • Knowledge of Machine Learning / Artificial Intelligence

    COMPENSATION

    There are some great benefits available with this role as well as the opportunity to work with some of the best minds in genomics and software development.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Full-Stack, FrontEnd, BackEnd, Python, Django, Web, Flask, HTML, CSS, JavaScript, Agile, Node, NPM, TypeScript, SQL, DevOps, Chef, Puppet, AI, ML, AWS, Oxford, Life Sciences

    BACKGROUND

    We are seeking a highly motivated scientific programmer and data manager to join the new Zimmermann research group in the Structural and Computational Biology unit. The Zimmermann group combines high-throughput mass spectrometry, bacterial genetics, multi-omics analyses and computational models to investigate the interactions within microbial communities and between microbes and their environment.

    RESPONSIBILITIES

    Your role would be to develop analysis pipelines, infrastructure and data management systems within the group and externally. It includes the development and maintenance of bioinformatics software for different research projects, adaptation of existing code and pipelines, and providing programming and statistics support to the group. The position involves large scale data handling from mass-spectrometry and sequencing experiments (metabolomics, NGS). The duties range from generic bioinformatics and IT support to development of own independent research projects.

    REQUIREMENTS

    • Ph.D. degree in bioinformatics, computational biology, statistics, or related subjects
    • Substantial experience in software development and/or scientific computing
    • Experience with large-scale data analysis and management
    • Experience with the Linux/Unix shell
    • Advanced skills in a high level programming language (>2 years of experience)
    • Ability to work independently and in a team, and at the interface between life sciences and informatics
    • Willingness to learn new skills and programming languages as projects require
    • Good communication, interpersonal and English language skills
    • Experience in data analysis, statistics and visualisation, e.g. in Python, R or MatLab
    • Experience with compute clusters (e.g. SGE, slurm) and pipelines of batch jobs (e.g. Snakemake, Luigi)
    • Familiarity with mass-spectrometry data acquisition and analysis
    • Experience in mathematical modeling of dynamic systems (e.g. MatLab SimBiology, Python ModSimPy)

    LOCALE

    Heidelberg, Germany

    COMPENSATION

    Depending on experience and qualifications

    HOW TO APPLY

    Online www.embl.de/jobs[...]en_GB

    DEADLINE

    23 June 2019

    Submitter

    BACKGROUND

    A thriving, young biotech based in central London has released a brand new opportunity for a talented, enthusiastic Bioinformatics Scientist to join their R&D team. The successful candidate will work on cutting edge research projects, focused on the development of innovative immuno-oncology products. This is a highly exciting and promising field of research that has the potential for significant developments in treating cancer patients world-wide.

    RESPONSIBILITIES

    Responsibilities may include:
    • Overseeing the processing and analysis of proteomic and immunopeptidome datasets generated using liquid chromatography--mass spectrometry platforms
    • Developing novel algorithms for the analysis of mass spec data

    REQUIREMENTS

    The ideal candidate will have:
    • A PhD in Bioinformatics, Computational Biology, Structural Bioinformatics or a related discipline
    • An expertise in proteomics, with significant experience analysing proteomic or mass spec data
    • Strong programming skills, using R and Python
    • A strong interest in or good understanding of the immuno-oncology field would be desirable, but not necessary for this position
    • Excellent communication skills

    HOW TO APPLY

    If you're a skilled Bioinformatician who knows your stuff when it comes to all things proteomics and are interested in working in the fascinating field of cancer immunology research, send your application through to Emilie at efrancis[at]pararecruit.com. For an informal chat, call Emilie on 0121 616 3477.

    Key words: Structural bioinformatics, Bioinformatician, Computational Biologist, Immunooncology, Cancer, Immunology,Vaccines, Oncology, Proteomics, London, Mass spectrometry

    Submitter

    BACKGROUND

    An innovative Biotech internationally renowned for its pioneering research in personalised immune-based cancer therapies has a new opening for a junior Biostatistician to join their thriving translational science team. This opportunity is suitable for applicants with a relevant PhD or MSc degree who are genuinely excited about working on ground breaking research projects for novel personalised cancer therapies.

    The Translational Science team is responsible for providing statistical support to the company and gaining actionable insight from clinical trial data.

    RESPONSIBILITIES

    Responsibilities include:
    • Perform robust statistical analysis, modelling and data integration of a wide variety of biological data sets to evaluate existing hypothesis and help guide the translational direction/decisions
    • Communicating ideas from analysis results to other departs across the company

    REQUIREMENTS

    The ideal candidate will have:
    • A good PhD in a numerate discipline such as Biostatistics, Statistics, Systems Biology, Mathematical Biology, Physics etc. (Please note, Msc degree candidates with 1-2 years' industry exp. will also be welcome to apply.)
    • In depth knowledge of statistical concepts and theory, an understanding of Bayesian methodology would be advantageous
    • Experience working with clinical trial data (or in a clinical trial environment) is ideal, but not necessary
    • Demonstrable experience in handling, modelling and drawing inference from large volumes of heterogeneous biological datasets eg. genomic, transcriptomic, proteomic data etc.
    • Solid programming skills using R and Python
    • Excellent communication skills, and the ability to confidently convey complex statistical ideas to non-informaticians
    • A passion for contributing to the technical development of novel cancer therapies

    HOW TO APPLY

    This is an opportunity to work alongside some of the leading experts in the field, contributing to cutting edge research into immune-oncology therapies. To apply, send across a copy of your cv to efrancis[at]pararecruit.com, or call Emilie on 0121 616 3477 for an informal chat.

    Key words: Immunology, Immuno-Oncology, Biostatistics, Statistics, Systems Biology, Clinical trials, Neo-Antigens, Data Analysis, Statistician, Systems Biologist, Computational Modeling
    Opportunity: Full Stack Web Developer @ CeMM -- Vienna, Austria
    Submitted by CeMM GmbH; posted on Thursday, June 06, 2019

    DESCRIPTION

    The RESOLUTE consortium is a public-private research partnership with 13 partners from academia and the pharmaceutical industry supported by the Innovative Medicines Initiative (re-solute.eu). The mission of RESOLUTE is to intensify worldwide research on a particular group of transport proteins, the solute carriers (SLCs), and to establish them as a novel target class for medical research.

    CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences has the key role of data management and data analysis in the RESOLUTE consortium. We are currently seeking a Full Stack Web Developer to join our team effort in building databases, web services and a user interfaces for efficient management of all data generated within this project.

    What you can expect:
    • Work in a small, agile software development team
    • Vibrant atmosphere of the highest quality biomedical research
    • Work closely with data scientists and molecular biologist from both academia and pharmaceutical companies to develop tools supporting efficient management of big data produced by the consortium
    • Get introduced to FAIR principles of scientific data management and implement those principles in database design
    • Play an active role in data modelling, software development and user interface design
    Your profile:
    • Bachelor's degree or higher in computer science (or comparable experience)
    • Proven track record in state-of-the-art programming languages and web technologies
    • Experience in modern, component-based web frontend frameworks
    • Experience working in Linux environments
    • Familiarity with database design principles and maintenance
    • Know-how in continuous development and deployment tools
    • Know-how in containerization strategies
    • Self-directed, able to contribute and see ahead of the current development timeline
    • Professional working proficiency in English
    Our stack:
    • Backend: Node.js server with TypeScript and TypeORM as DAL
    • Database: PostgreSQL
    • Frontend: Vue.js, Plotly
    • API: GraphQL
    • CI/CD: GitLab and Docker
    Why you want to join our team:
    • An inclusive workplace with a positive and highly motivating work climate
    • Apply latest cutting-edge web technologies
    • Training opportunities
    • Daily bonus for in-house cafeteria
    • Fair employee benefits package including company health care, competitive holiday allowance
    • Relocation support provided by our HR team
    • Minimum annual gross salary 40000 EUR with possibility of overpayment according to experience and qualifications
    The Institute:
    CeMM is an international research institute of the Austrian Academy of Sciences and founding member of EU-LIFE, an association of leading biomedical research institutes in Europe. CeMM has an outstanding scientific track record, medical translation, and spin-off companies. CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disorders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna's historical city center. A study by The Scientist placed CeMM among the top-5 best places to work in academia worldwide. Vienna is an international city with a large English-speaking community and frequently ranked the world's best city to live. The official language at CeMM is English, and more than 45 nationalities are represented. CeMM aims to promote equality of opportunity for all with the right mix of talent, competences, and potential thus we welcome applications from candidates with diverse backgrounds.

    HOW TO APPLY

    Please apply online with a motivation letter explaining why you are the ideal candidate for this position and your curriculum vitae, all in a single PDF document with max. 3 pages. Please visit our career page and click on "apply now" to upload your application: cemm.jobbase.io/job/4mhybvkv

    DEADLINE

    Closing date for applications: 30.06.2019

    Preferred starting date: 01.08.2019

    POLICY

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

    Submitter

    BACKGROUND

    To build on the success of the 100,000 Genomes Project, the Government tasked NHS England with support from Genomics England to launch a new NHS Genomic Medicine Service comprising a National Genomic Test Directory where 300,000 tests have been re-profiled and whole genome sequencing will be available for direct healthcare. Through 7 Genomic Laboratory Hubs this offers equitable access to the 55 million people in England to the latest genomic medicine and research. This will lead to faster diagnosis and personalised medicine.

    Genomics England has been asked to prepare a plan for up to 5 million genomic tests over the next 5 years.

    The post holder provides high calibre bioinformatics research support to external researchers and industrial partners by enabling analysis, facilitating access to datasets and ensuring optimal use of the Genomics England Research Data Centre. The post holder will act as a second line of support for users of the Research Environment. They will be intimately familiar with the data and applications.

    The research support team is also tasked with quality assuring the data and applications released into the research environment. The role includes elements of a bioinformatician and data analyst, ensuring that our users have an excellent customer experience.

    RESPONSIBILITIES

    Key Accountabilities:
    • Understanding Genomics England datasets and the research environment, and being both a super user and advocate internally and externally
    • Understanding the needs of customers (academic, NHS and industry); working with customers to ensure that their scientific projects are successful.
    • Carrying out custom analyses on demand
    • Managing data; supporting data generation, intake, and extraction through airlocks
    • Supporting users with how to use our software and data
    • Keeping track of customer relationships and being the internal authority on specific customer issues, needs, and future plans
    • Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions, co-ordinating with internal teams when necessary
    • Contributing to the development of the Research Environment through identifying unmet customer needs, suggesting solutions, and improving supporting material
    • Collaborating internally, particularly with others in the Chief Scientist's team, our Commercial team, Bioinformatics team and platform engineers, to develop and deploy suitable solutions for customers
    • Working from time to time on the NHS Clinical Interpretation pipeline

    REQUIREMENTS

    Key Requirements:
    • Extensive experience in analysis of large-scale genomic data using bioinformatics tools and pipelines
    • Demonstrable experience in using next generation sequencing data
    • Competence in R, Python or similar language appropriate for large-scale genomics analysis
    • Strong communication skills, both written and verbal and excellent facilitation, influencing and presentation skills
    • Good customer-service orientation, disposition to help, and experience in working with customers, preferably in the scientific/pharma industry
    • Excellent team working skills and comfortable working as part of matrix teams and as part of external teams to ensure delivery
    • Experience with high-performance computing or cloud-scale data processing
    • Adaptable to an ever-evolving working environment
    • Background in human disease genetics, preferably in cancer or rare disease, demonstrated by publication record or industry track record
    • Educated to MSc level (or higher), in Bioinformatics, Biostatistics, Statistical Genetics, or a related scientific discipline
    • Proven ability to communicate with stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
    • Willingness to travel occasionally (<15%) to meet customers or to attend events to gain market insight
    • Experience of working in a knowledge sharing environment
    • Proven understanding of clinical and phenotypic data management and the sensitivities surrounding patient cohort data

    COMPENSATION

    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.

    HOW TO APPLY

    Please do not hesitate to contact Emilie at Efrancis[at]pararecruit.com or call (+44) 121 616 34677 to discuss this opportunity further.

    Keywords: Support, Bioinformatics, Research, NGS, Matrix, HPC, Statistical, External, QA, Analysis, Cohort, Cloud, Human, Genetics, Cancer, Rare, Disease, London
    Opportunity: Rare Disease Analyst @ Genomics England -- London, UK
    Submitted by Eugene Mc Daid; posted on Thursday, June 06, 2019

    Submitter

    BACKGROUND

    Genomics England applies state of the art approaches to whole genome sequences for processing, analysis, quality assurance and annotation. This includes integrating phenotypic and other clinical data with whole genome sequencing to create a world-leading, high fidelity data repository for the NHS and third party users.

    The Bioinformatics team develops and applies state of the art approaches to whole genome sequences (WGS) in the areas of:
    • Analysis of WGS in cancer and rare diseases 

    • Sequence alignment and variant calling of up to 100 genomes per day
    • Quality assurance and sample provenance monitoring
    This analyst role is part of a highly motivated Bioinformatics team, working as part of a small team responsible for rare disease analysis.

    RESPONSIBILITIES

    Key Accountabilities:
    • Carrying out alignment and variant calling, family based analyses and burden and association testing
    • Benchmarking genome analysis pipelines
    • Performing computational analyses for a range of projects
    • Developing and implementing new features
    • Establishing general bioinformatics resources for day-to-day use by colleagues

    REQUIREMENTS

    Experience Required:
    • Postdoc with experience of working within Rare Diseases and Bioinformatics/Computational Biology and Systems Biology or equivalent work experience
    • Expertise to apply and develop state-of-the-art statistical genetics methods that maximise the impact of genetic analyses within our pipeline
    • Good knowledge of rare disease genomics desirable
    • Have solid training in statistical genetics, statistical bioinformatics and or machine learning, and ideally some quantitative background such as a degree in physics, computer science, and maths. These skills could have been developed during a PhD for example through a PhD in computational biology, statistical genomics, and statistical genetics.
    • Practical knowledge of NGS algorithms and available resources
    • Solid knowledge of family based analysis and knowledge of association testing
    • Strong programming skills (Python, R); ability to develop codes as a part of team
    • Excellent technical writing skills
    • A demonstrable ability to cope under pressure and deliver to deadlines
    • Ability to communicate effectively within a multidisciplinary team
    • Flexible and co-operative approach to colleagues
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands

    COMPENSATION

    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.

    HOW TO APPLY

    Please do not hesitate to contact Emilie Francis at efrancis[at]pararecruit.com or call (+44) 121 616 3477 to discuss this opportunity further.

    Keywords: Rare, Disease, Analyst, WGS, WES, Genomics, Bioinformatics, Pipelines, Statistics, Testing, Writing, Variants, NGS, London, Fixed-Term

    Submitter

    BACKGROUND

    To build on the success of the 100,000 Genomes Project, the Government tasked NHS England with support from Genomics England to launch a new NHS Genomic Medicine Service comprising a National Genomic Test Directory where 300,000 tests have been re-profiled and whole genome sequencing will be available for direct healthcare. Through 7 Genomic Laboratory Hubs this offers equitable access to the 55 million people in England to the latest genomic medicine and research. This will lead to faster diagnosis and personalised medicine.

    Genomics England has been asked to prepare a plan for up to 5 million genomic tests over the next 5 years. The Bioinformatics team develops and applies state of the art approaches to 100,000 whole genome sequences (WGS) in the areas of:
    • Analysis of WGS in cancer and rare diseases 

    • Sequence alignment and variant calling of up to 100 genomes per day 

    • Quality assurance and sample provenance monitoring
    This role contributes to the Genomic Interpretation Group's review and reporting of findings back to the NHS.

    RESPONSIBILITIES

    Key Accountabilities:
    • Contribute to our in-house pipeline to analyse WGS data of patients and aid in the interpretation of findings using clinical bioinformatics capabilities.
    • Perform quality assurance of the analysis and interpretation made by third parties and by our in-house pipeline for both Rare Disease and Cancer.
    • Review variant calls in a timely manner that can be used to inform clinical decisions and for research purposes within the NHS GMCs and academic communities.
    • Perform user acceptance testing of third party decision support tools for interpretation.
    • Handling, troubleshooting and prioritising GMC issues from interpretation/system.
    • Support with writing SOPs and documentation about the system.

    REQUIREMENTS

    Skills Required:
    • Degree level qualification, or equivalent, in a medical science or relevant discipline
    • Demonstrated commitment to quality
    • Demonstrate understanding of quality management systems and implementing process improvements and supporting staff with process development and documentation.
    • Familiarity with clinical research and the NHS
    • Experience of writing and following Standard Operating Procedures
    • Proven scripting skills (e.g. in one or more of Python, Bash, R, SQL) (essential)
    • Proven knowledge/understanding in genetics/genomics and variant calling (essential)
    • Knowledge of bioinformatics best practice guidelines (e.g. ACGS)
    • Experience of delivering training to a varied audience (desirable)
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands
    • Ability to communicate effectively within a multidisciplinary team and external stakeholders
    • Flexible and co-operative approach to colleagues

    COMPENSATION

    There are some great benefits on offer with this opportunity including a competitive salary, pension, generous holidays and more.

    HOW TO APPLY

    Please do not hesitate to contact Emilie Francis at efrancis[at]pararecruit.com or call (+44) 121 616 3477 to discuss this opportunity further.

    Keywords: Clinical, Bioinformatician, Genomics, Bioinformatics, WGS, Pipelines, Patient, Data, SOP, Python, SQL, Bash, NHS, Variant Calling, London

    Submitter

    BACKGROUND

    A leading multinational biopharmaceutical organisation has released a senior post in the Data Analytics function, to be focussing on drug discovery and development projects. This is a highly technical, hands-on Principal Scientist level position and it would be suited to experienced Data Scientists who loves the challenge of developing innovative data science based approaches to solving complex biological problems. This is an opportunity to work on cutting edge research projects that make a real and significant impact to patient health.

    RESPONSIBILITIES

    Responsibilities may include:
    • Developing innovative data science based solutions to support target and drug discovery across a wide portfolio of disease areas, such as CNS and Immunology
    • Contributing your expertise and communicating ideas effectively to informatics/non-informatics colleagues and stakeholders across other departments
    • Supporting junior members of the team

    REQUIREMENTS

    The ideal candidate will have:
    • A PhD in a relevant discipline, such as Bioinformatics, Statistics, Physics, Mathematics etc.
    • Experience working with a wide variety of complex biological data sets, including multi-omics data
    • A genuine passion for applying machine learning based approaches to solving biological questions, data mining and visualisation
    • Wide theoretical knowledge of data science based approaches, including gradient boosting, random forests, convolutional neural networks
    • Knowledge of Bayesian statistics and practical experience of deep learning frameworks (eg. Tensorflow)
    • Fantastic communication skills
    • Insatiable curiosity, innovation and imagination are key attributes for this role!

    HOW TO APPLY

    If you are an expert machine learning enthusiast and would love to contribute your skills to cutting edge developments in drug discovery, please send your application (including CV) through to Emilie at Paramount Recruitment at efrancis[at]pararecruit.com. For an informal discussion, call Emilie on 0121 616 3477.

    Key words: Machine learning, Data Science, Algorithm Development, Drug Discovery, Target Identification, Bioinformatics, Biostatistics, Immunology, CNS

    BACKGROUND

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

    A postdoctoral position in the laboratory of Dr. Gavin Ha and the Computational Biology Program is available immediately. We are seeking a highly motivated individual who is interested in studying cancer and understanding the genetic and epigenetic basis driving cancer progression. Candidates who are excited about large/complex 'omics' data analysis and methods development for cancer research are encouraged to apply. The position has a duration of at least one year with a competitive salary and great benefits.

    RESPONSIBILITIES

    The Ha lab is establishing a research program that uses new DNA sequencing technologies to study cancer genomes. The lab is also focused on research involving liquid biopsies, such as cell-free DNA, and developing new computational approaches to leverage these data for genome discovery and cancer burden monitoring. The research interests/projects in the Ha lab include:
    • Analysis of cancer genomes to understand tumor progression/evolution, metastatic disease, non-coding genome alterations, copy number alterations, genome rearrangements and 3D structure, mutational signatures
    • Development of novel computational algorithms for long-range (linked-reads or long-reads) whole genome sequencing of tumors
    • Analysis of linked-read whole genome sequencing data to uncover novel alterations driving metastatic prostate cancer
    • Analysis of cell-free DNA in plasma samples from patients under treatment
    • Development and analysis of sensitive approaches to detect tumor-derived DNA in cell-free DNA from patient blood plasma
    • The lab will work with collaborators to validate results using functional experiments
    • For examples of recent studies, see gavinhalab.github.io
    PMID:29909985 - www.ncbi.nlm.nih.gov/pubmed/29909985
    PMID:29109393 - www.ncbi.nlm.nih.gov/pubmed/29109393
    PMID:25060187 - www.ncbi.nlm.nih.gov/pubmed/25060187

    REQUIREMENTS

    Candidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply:
    • Cancer genomics, liquid biopsies, tumor evolution/heterogeneity
    • Application of statistical modeling, algorithm design, artificial intelligence to study cancer and genetics
    • Analysis of large, complex genome, epigenome, or transcriptome data
    Applicants must have a PhD in one of these disciplines: Computational biology, bioinformatics, computer science, data science, statistics, computer/electrical engineering, physics, or other related fields.

    Applicants should have some of the following skills and experience:
    • Work well in team environments; strong communication/organization skills; detail-oriented
    • Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research)
    • Experience with high performance computing environments and cloud computing environments is a plus.
    • Experience with analyzing sequencing data is considered a strong asset.
    • Applicants must have a demonstrated publication track record.
    • A background in cancer biology (esp. in prostate or breast cancer) is considered a strong asset.

    TERMS

    Regular, Full-Time

    LOCALE

    Seattle, WA, USA

    HOW TO APPLY

    To apply, please submit your application with the following:
    • A several paragraph statement of research interests
    • CV
    • Names and email addresses of three references
    Please apply via our careers page here: careers-fhcrc.icims.com/jobs[...]=-420

    DEADLINE

    6/30/2019

    POLICY

    Our Commitment to Diversity:
    We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail[at]fredhutch.org or by calling 206-667-4700.
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