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    BACKGROUND

    We are looking to expand our team with a Bioinformatics Postdoctoral fellow who is up for the challenge of working at the interface of computational, experimental and clinical science. The Peters lab has a long-standing track record of developing and contributing to computational algorithms for T cell epitope identification that are now in broad use in the cancer community even though they were originally intended to be applied for infectious diseases. The candidate will join our recently started effort to develop cancer specific computational tools to aid in the identification of T cell epitopes specific to tumors, and work with data from our network of clinical and experimental collaborators to develop improved algorithms as well as aid in the design and interpretation of experiments.

    RESPONSIBILITIES

    • High-Throughput Sequencing data analysis (exome and transcriptome from bulk and single-cell sequencing)
    • TCR sequence analysis
    • Application and development of state-of-the-art analysis tools
    • Communicate with clinical collaborators and aid in translational study design

    REQUIREMENTS

    • PhD degree, ideally in Computational Biology or Bioinformatics (candidates with equivalent skills and interests in computer science, statistics, and biomedicine will be considered)
    • Experience with at least one programming language is required (e.g. Python, R, or Perl)
    • Experience with High-Throughput Sequencing data
    • Experience with TCR sequence analysis is a strong plus
    • Knowledge of or strong interest in cancer biology and immunology is a strong plus

    COMPENSATION

    Salary will be commensurate with experience.

    Full-time employment at LJI includes a competitive salary, medical/dental/vision benefits and contributions to a retirement plan (403B).

    ABOUT US

    In 2017, LJI was ranked as one of the best places to work in San Diego by the San Diego Business Journal. The Institute hosts 24 world-renowned faculty and over 100 postdoctoral researchers hailing from 21 different countries. LJI is located in the Science Research Park on the campus of UC San Diego, with easy access to the San Diego life sciences community and all that the area has to offer.

    HOW TO APPLY

    Interested applicants should submit their resume and cover letter (single attachment) through our online portal here to be considered: www.lji.org/careers/

    POLICY

    LJI provides Equal Employment Opportunity (EEO) to all employees and applicants regardless of race, national origin, religion, sex, marital status, age, mental or physical disability, medical condition, veteran status, sexual orientation, or pregnancy. This applies to all personnel practices, including recruitment, hiring, training, promotion, compensation, benefits, transfers, educational assistance, and social and recreational programs.

    BACKGROUND

    A bioinformatic position focused on the analysis of complex datasets including: DNA-sequencing, RNA-sequencing, metabolomics and drug sensitivity data. Specific emphasis will be placed on delineating the impact of specific pathways on disease progression and therapeutic response using data from clinically annotated tissue specimens and patient-derived models.

    Ideal candidates will have experience with bioinformatics, have a track record of leading projects to publication, and be creative in using computational methods to interrogate complex biological problems.

    Postdoctoral fellows will be expected to direct independent projects in a multi-disciplinary setting, assist in mentoring junior lab members, and apply for independent fellowship funding.

    A long-term goal of the project is to bring the research to clinical application and fellows will have the opportunity to directly contribute to clinical trial development and interactions with the multi-disciplinary teams in molecular oncology.

    REQUIREMENTS

    • MS or PhD with relevant experience in bio-informatics or computational biology
    • Record of research accomplishment
    • Self motivated with a positive attitude
    • Strong interpersonal skills

    HOW TO APPLY

    Interested individuals should send a CV, statement of interests, with a list of three references to:
    Erik Knudsen, PhD
    Professor of Cancer Biology
    eknudsen[at]email.arizona.edu
    Opportunity: Support Bioinformatician @ Genomics England -- London, UK
    Submitted by Eugene Mc Daid; posted on Tuesday, October 17, 2017

    BACKGROUND

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success Paramount are working in partnership with Genomics England to expand their team in order to with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants. Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

    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 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

    • Understanding our 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 and that they gain value from their interactions with our Research Environment. This includes face to face engagement to assess needs and execution
    • Supporting users with how to use our software and data
    • Carrying out custom analyses on demand
    • Managing data, QA releases, supporting data intake and extraction through airlocks and adding external data to our environment, helping with data extraction and generation of data extracts
    • Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions, co-ordinating with internal teams when necessary
    • Keeping track of customer relationships and being the internal authority on specific customer issues, needs, and future plans
    • Sharing knowledge within Genomics England about customer needs and experiences and contributing to the development of the Research Environment
    • Collaborating internally, particularly with others in the Chief Scientist's team, our Commercial team, Bioinformatics team and software and infrastructure engineers, to develop and deploy suitable solutions for customers
    • Working from time to time on the NHS Clinical Interpretation pipeline (creating a seamless bioinformatics team who understand the NHS and research pipelines)

    REQUIREMENTS

    • Evidence of experience of bioinformatics research and analytics using large genomic datasets of next generation sequencing data alongside clinical data in a field relevant to Genomics England
    • Good customer-service orientation, disposition to help, and proven expertise in partnership working with customers, preferably in the scientific/pharma industry
    • Strong communication skills, both written and verbal and excellent facilitation, influencing and presentation skills
    • Proven ability to communicate with key customer and internal stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
    • Excellent team working skills and comfortable working as part of matrix teams and as part of external teams to ensure delivery
    • Experience of working in a knowledge sharing environment
    • Willingness to travel occasionally (< 15%) to meet customers or to attend events to gain market insight
    • Experience with cloud-scale data processing and high-performance computing
    • Educated to MSc level (or higher), in a relevant scientific discipline
    • Demonstrated knowledge and competence in relevant programming languages and applications (e.g. R, Python, Perl, SQL) and experience of using a suite of bioinformatics tools to problem solve and answer research questions
    • Adaptable to an ever-evolving working environment
    • Experience of technical writing
    • Experience of database development and design, ideally including both SQL and NoSQL (eg Hadoop)
    • Experience in "data wrangling" large and or complex data sets using tools such as those from R/tidyverse
    • 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 Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Support, Bioinformatician, London, Genomics England, Customer, QA/ QC, Clinical, Perl, Python, NGS, SQL, Clinical, Pipeline, HPC, Cloud.

    BACKGROUND

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success Paramount are working in partnership with Genomics England to expand their team in order to with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants. Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

    The post holder provides high calibre bioinformatics research support to external researchers and industrial partners by delivering custom analyses, facilitating access to datasets and ensuring optimal use of the Genomics England Research Data Centre. The post holder will ensure the scientific quality and integrity of the analyses that the team produces.

    The post holder leads a skilled team that supports our academic and industrial partners by analysing the program's data to answer our partner's questions. The post holder ensures the delivery of the team's objectives, staff management and development and provides hand on support as a senior genomics data analyst. There is cross-working with other bioinformatics team members running our interpretation pipeline for the National Health Service.

    RESPONSIBILITIES

    • Developing and executing the operational strategy, objectives and metrics and delivery plans for supporting users, knowledge sharing and continuous improvement.
    • Developing and managing a high performance team (around 5 people)
    • Sharing knowledge within Genomics England about customer needs and experiences and contributing to the development of the Research Environment.
    • Collaborating internally, particularly with others in the Chief Scientist's team, our Commercial team, Bioinformatics team and software and infrastructure engineers, to develop and deploy suitable solutions for customers.
    • Understanding the needs of customers (academic, NHS and industry); working with customers to ensure that their scientific projects are successful and that they gain value from their interactions with our Research Environment.
    • Understanding our research environment and being both a super user and advocate internally and externally.
    • Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions, co-ordinating with internal teams when necessary.
    • Carrying out complex custom analyses
    • Keeping track of customer relationships and being the internal authority on specific customer issues, needs, and future plans.
    • Being the key point of contact with customers collecting and updating requirements, communicating progress and feedback
    • Working from time to time on the NHS Clinical Interpretation pipeline (creating a seamless bioinformatics team who understand the NHS and research pipelines).

    REQUIREMENTS

    • A background in a strongly quantitative discipline such as Mathematics, Physics, or Computer Science with at least 3 years of postdoctoral work in fields related to statistical genetics or genomics, or a demonstrable equivalent background
    • Strong evidence of experience in genomics research and data analysis using large genomic datasets of next generation sequencing data alongside clinical data in a field relevant to Genomics England.
    • Team leadership expertise, with a focus on developing self-driven individuals
    • Excellent communication skills, both written and verbal and excellent facilitation, influencing and presentation skills.
    • Proven ability to communicate with key customer and internal stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
    • Strong customer-service orientation and proven experience in partnership 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.
    • Willingness to travel occasionally (< 15%) to meet customers or to attend events to gain market insight.
    • Experience with cloud-scale data processing and high-performance computing.
    • Demonstrated knowledge and competence in relevant programming languages and applications (e.g. R, Python, Scala) and experience of using a suite of bioinformatics tools to problem solve and answer research questions.
    • Ability to work independently with a high degree of motivation and focus, and to complete tasks according to company priorities with minimal supervision.
    • Adaptable to an ever-evolving working environment
    • Experience of technical writing.
    • Experience using of databases, including both SQL and NoSQL solutions
    • Strong publication record in a relevant field, and a proven ability to stay abreast of developments in that field.
    • Previous experience of delivering training resources and events.
    • 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 Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Head, Bioinformatics, Genomics, London, Genomics England, Leadership, Management, NGS, Pipeline, Delivery, Commercial, Customer, Big Data, Hadoop, Python, SQL, Scala.

    BACKGROUND

    Moderna is seeking a talented and motivated bioinformatician/computational biologist to work as part of a highly collaborative, multi-disciplinary team. The primary focus for this position will be the analysis, visualization, and interpretation of complex datasets, primarily NGS. The successful applicant will collaborate with individuals and groups across Research and the therapeutic areas to support the advancement of Moderna's mRNA technology platform and pipeline.

    RESPONSIBILITIES

    • Analyze high throughput datasets, primarily Next Generation Sequencing (NGS)
    • Apply biological and statistical knowledge to draw rigorous, actionable conclusions form complex data sets
    • Leverage relevant public data resources to enable and enhance data analysis
    • Develop and apply bioinformatics tools to process, analyze, and interpret data relevant to developing mRNA therapeutics
    • Communicate findings internally and externally
    • Collaborate with groups across the company to support research projects

    REQUIREMENTS

    • B.S. with 6+ years of experience or M.S. with 1+ years of experience in Bioinformatics, Computational Biology, or related field
    • Experience with analysis of next generation sequencing (NGS) data using state of the art bioinformatics tools
    • Experience using publically-available biological databases of sequences and functional data, such as EMBL, GenBank, Entrez, UniProt, RefSeq, miRBase, ENCODE, TCCA, or Roadmap
    • Proficient in at least one programming or scripting language, such as Python, Perl, and/or R
    • Comfort working in a Linux-based High Performance Computing environment
    • Creative problem solver able to draw conclusions from complex datasets, and present them in a clear and understandable way
    • Strong written and oral communication skill

    HOW TO APPLY

    Please apply here: modernatx.wd1.myworkdayjobs.com/en-U[...]_R562

    POLICY

    Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. Moderna will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

    BACKGROUND

    The Sanger Mouse Pipelines Genome Engineering group(GE) generates custom mutations in mice by gene targeting in embryonic stem (ES) cells and directly in the mouse zygote by applying cutting edge gene targeting technology.GE creates mutant alleles of interest to Sanger Institute Faculty, many of which are used as models for human disease. Our efforts benefit from extensive targeting vector/ES cell modular resources generated previously as part of the KOMP, EUCOMM, and EUCOMMTOOLs high throughput gene targeting programs and associated expertise as well as the successful implementation of CRISPR/Cas9 methods.

    RESPONSIBILITIES

    We are seeking a highly motivated and flexible individual to join the GE team as an Research Assistant or Advanced Research Assistant. The post holder's main responsibilities will be execution of day-to-day workflows of projects for the generation of targeting vectors, CRISPR/Cas9 reagents and the generation and validation of quality assured targeted mouse ES cells. Key responsibilities include execution and timely delivery of these resources, accurate record keeping, project troubleshooting and an ability to work across multiple projects. In addition, the group also has a research and development (R&D) commitment to implement new approaches that facilitate the insertion of complex alleles directly into the mouse zygote.

    Previous experience of mammalian cell culture, especially mouse ES cell (mESC) culture is a prerequisite for this role. The candidate would also be expected to be able to genotype the mESC clones generated in order to provide quality assured reagents for microinjection. The candidate should have a broad knowledge of molecular biology techniques such as nucleic acid extraction, construct generation (via conventional cloning, Gibson assembly and/or recombineering), PCR, restriction enzyme analysis and sequencing. An understanding of conventional gene targeting and the more recent CRISPR/Cas9 genome engineering techniques would be advantageous. The successful candidate must be able to work as part of a team and also have the ability to independently handle complex workflows from project start to delivery. Good communication/record keeping skills are a key part of the role.

    Some weekend cell culture is anticipated in this role.

    REQUIREMENTS

    Research Assistant Essential Skills:
    • Practical experience in cell culture
    • An understanding and practical experience in molecular biology strategies and techniques, including molecular cloning, nucleic acid isolation and purification, and PCR.
    • Ability to test and implement new approaches and techniques including troubleshooting
    • Capable of performing/tracking a variety of challenging projects simultaneously
    • Ability to work as part of a team and also independently once appropriate training and guidance have been provided.
    • Good communication skills to allow accurate information to be exchanged
    • Science degree in biological sciences
    • Practical laboratory experience
    • Ability to schedule and deliver simultaneous projects within agreed deadlines
    Advanced Research Assistant Essential Skills:
    • Experienced in mammalian cell culture, especially routine mouse ES cells culturing.
    • An understanding and practical experience in molecular biology strategies and techniques, including some of the following: molecular cloning, construct generation (via conventional cloning, Gibson assembly and recombineering), PCR, restriction enzyme analysis and sequencing.
    • Isolation and purification of nucleic acid, particularly RNA based methodologies for the generation of CRISPR reagents.
    • Practical experience and theoretical understanding of genotyping techniques, including qPCR, long range PCR and sequencing and data interpretation there of.
    • Capable of performing/tracking a variety of challenging projects simultaneously
    • Ability to work as part of a team and also independently once appropriate training and guidance has been provided.
    • Good communication skills to allow accurate information to be exchanged
    • Science degree in biological sciences or extensive, proven practical experience
    • Ability to schedule and deliver simultaneous projects within agreed deadlines
    • Good computer skills

    PREFERENCES

    • Experience of transfection, nucleofection and electroporation technologies would be advantageous
    • Practical experience in understanding gene structures on standard genome browsers
    • Practical experience and theoretical understanding of gene targeting strategies
    • Ability to test, implement and troubleshoot new approaches and techniques

    TERMS

    Permanent

    LOCALE

    The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus.

    COMPENSATION

    Salary in the region of £19,000 to £30,000 per annum depending on role and experience

    HOW TO APPLY

    For further information, job description and to apply; jobs.sanger.ac.uk/wd/p[...]28434

    DEADLINE

    31st October 2017

    POLICY

    Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

    BACKGROUND

    Position Summary:
    The Regeneron Genetics Center (RGC) is a wholly-owned subsidiary of the Company, whose goals are to apply large scale human genetics to identify new drug targets and to guide the development of therapeutics programs and precision medicine. Building upon Regeneron's strengths in mouse genetics and genetics-driven drug discovery and development, the RGC specializes in ultra-high-throughput exome sequencing, large scale informatics and data analysis encompassing genomics and electronic health records, and translating genetic discoveries into new biology and drug discovery opportunities. The RGC leverages multiple approaches including large population based studies, Mendelian genetics and family based studies, founder population genetics, and large-scale disease focused projects and has developed a network of over 50 collaborations with research organizations around the world. Including some of the largest sequencing studies in the world, such as the DiscovEHR study in collaboration with Geisinger Health System, and an initiative to sequence 500,000 participants with the UK Biobank, the RGC has built one of the largest human genetics databases, including sequence data from over several hundred thousand participants and rapidly growing. Our interests encompass a breadth of different areas across all therapeutic areas and the RGC is highly integrated into all facets of research and development at Regeneron. Program goals include target discovery, indication discovery, and patient-disease stratification. Objectives include advancing basic science around the world through public sharing of discoveries, providing clinically-valuable insights to physicians and providers of collaborating health-care systems, improving patient outcomes, and identifying novel targets for drug development.

    Summary:
    The postdoctoral fellow position is for early career scientist trainees to receive a rigorous scientific training at the Regeneron Genetics Center under the auspices of a scientist mentor during a 4-year training period. Fellows will be expected to conduct creative exploratory research that results in publishable data within their fellowship period.

    The program will consist of:
    • Four years of formal postdoctoral training in a program directed by an award-winning educator
    • Exposure to the biotechnology industry's most successful and innovative scientists
    • Opportunities to pursue cutting-edge, creative biomedical research in a prestigious, well- resourced, and highly driven industry environment
    • Weekly postdoctoral scientist meetings to foster scientific rigor, creative thinking, critical reasoning, and career advancement
    • Encouragement of scholarly productivity such as publications and conference presentations

    RESPONSIBILITIES

    As part of your Postdoctoral Training Program, you will:
    • Conduct forward-looking, innovative, and creative research to address a novel scientific question of your choice under the auspices of a scientist mentor
    • Publish and disseminate data via external conferences and peer-reviewed publications
    • Assist with mentoring and teaching intern and other more junior trainees
    • Participate in postdoctoral program activities such as weekly meetings and the annual research conference
    • Present data internally, including at lab meetings, trainee meetings, and company wide seminars
    • Provide ongoing reports of research progress to supervisors and program staff

    REQUIREMENTS

    • Doctoral degree in a relevant discipline
    • Scientists looking for their first or second postdoctoral training
    • Superior scientific skills including critical and analytical thinking
    • Demonstrated publication success as evidenced by peer-reviewed publications
    • Good written and oral communication skills
    • Ability to interact dynamically and constructively with scientific peers
    • Note: occasional travel

    HOW TO APPLY

    Applications Accepted: October 1, 2017 - December 1, 2017

    Letters of recommendation are required.

    Please find additional details in online application: careers.regeneron.com/job/[...]nings

    Applications received after December 1, 2017 may not be considered.

    Following the close date, please allow 3-4 months for review and interviews.

    Targeted Start Date: July 2018

    If you have an issue submitting or any questions, please email: postdoctoral[at]regeneron.com.

    BACKGROUND

    Position Summary:
    Known for its scientific and operational excellence, Regeneron is a leading science-based biopharmaceutical company that discovers, invents, develops, manufactures, and commercializes medicines for the treatment of serious medical conditions. Regeneron commercializes medicines for eye diseases, high LDL-cholesterol, atopic dermatitis and a rare inflammatory condition and has product candidates in development in other areas of high unmet medical need, including rheumatoid arthritis, asthma, pain, cancer and infectious diseases.

    Summary:
    The postdoctoral fellow position is for early career scientist trainees to receive a rigorous scientific training at Regeneron under the auspices of a scientist mentor during a 4-year training period. Fellows will be expected to conduct creative exploratory research that results in publishable data within their fellowship period.

    The program will consist of:
    • Four years of formal postdoctoral training in a program directed by an award-winning educator
    • Exposure to the biotechnology industry's most successful and innovative scientists
    • Opportunities to pursue cutting-edge, creative biomedical research in a prestigious, well- resourced, and highly driven industry environment
    • Weekly postdoctoral scientist meetings to foster scientific rigor, creative thinking, critical reasoning, and career advancement
    • Encouragement of scholarly productivity such as publications and conference presentations

    RESPONSIBILITIES

    As part of your Postdoctoral Training Program, you will:
    • Conduct forward-looking, innovative, and creative research to address a novel scientific question of your choice under the auspices of a scientist mentor
    • Publish and disseminate data via external conferences and peer-reviewed publications
    • Assist with mentoring and teaching intern and other more junior trainees
    • Participate in postdoctoral program activities such as weekly meetings and the annual research conference
    • Present data internally, including at lab meetings, trainee meetings, and company wide seminars
    • Provide ongoing reports of research progress to supervisors and program staff

    REQUIREMENTS

    • Doctoral degree in a relevant discipline
    • Scientists looking for their first or second postdoctoral training
    • Superior scientific skills including critical and analytical thinking
    • Demonstrated publication success as evidenced by peer-reviewed publications
    • Good written and oral communication skills
    • Ability to interact dynamically and constructively with scientific peers
    • Note: occasional travel

    HOW TO APPLY

    Applications accepted: October 1, 2017 - December 1, 2017

    Letters of recommendation are required. Please find additional details in online application: careers.regeneron.com/job/[...]nings

    Applications received after December 1, 2017 may not be considered.

    Following the close date, please allow 3-4 months for review and interviews.

    Targeted Start Date: July 2018

    If you have an issue submitting or any questions, please email: postdoctoral[at]regeneron.com.

    RESPONSIBILITIES

    The Bioinformatics Scientist III will develop and maintain bioinformatics pipelines for novel qPCR and NGS applications, perform NGS data analysis and provide computational support for research and product development. This individual will work closely with other scientists and be a key contributor to the product development team.

    Duties:
    • Develops and maintains pipelines for NGS and qPCR applications
    • Provides data analysis support for product development and external collaborations
    • Works closely with R&D scientists to support their daily research activities
    • Participates in brainstorming sessions and contributes ideas in technology, algorithms and products
    • Works independently and also collaborates with other team members to meet project deadlines
    • Prepares and delivers presentations based on scientific and technical progress and achievements
    • Demonstrates and upholds behavior consistent with the Integrated DNA Technologies Core Values and delivers the Integrated DNA Technologies experience to customers and other business associates.
    • Performs other duties as assigned

    REQUIREMENTS

    Education:
    • Bachelor's degree (in Biology, Computer Science, Mathematics, Statistics or a related field) with six or more years relevant work experience required
    • Master's degree (in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics or a related field) with four or more years relevant work experience preferred
    • PhD degree (in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics or a related field) preferred
    Professional Experience:
    • Previous experience in NGS required
    • Knowledge and understanding of computational and biological issues required
    • Previous experience working in a multidisciplinary, fast-paced and results-oriented environment preferred
    • Publications in peer-reviewed journals preferred
    Other Job Qualifications:
    • Familiarity with Python or other scripting languages
    • Programming and data analysis experience in a distributed Unix environment
    • Familiarity with public bioinformatics resources and tools
    • Knowledge of best-practice data presentation methods for internal and external audiences
    • Ability to easily integrate into and collaborate with a multidisciplinary team
    • Excellent oral and written communication skills
    • Adaptability to performing a variety of duties, often changing from one task to another without loss of efficiency or composure.
    • Ability to maintain both a high standard of courtesy and cooperation in dealing with co-workers.
    • Adaptability to accepting responsibility for the direction, control or planning of an activity.
    Physical Requirements:
    • Exert up to 10 lbs. of force occasionally and/or up to a minimal amount frequently

    TERMS

    Shift/Schedule: M-F 40 Hour Week (United States of America)

    LOCALE

    Job Locations: US-IA-Coralville

    HOW TO APPLY

    Apply Here: www.Click2apply.net/h22d9ptvkk2fgdcp

    ID: 2017-3518
    Category: Research & Development
    # of Openings: 1
    Posted Date: 8 hours ago

    PI99779690

    DEADLINE

    11/11/2017

    POLICY

    Integrated DNA Technologies is an equal employment and affirmative action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply.

    BACKGROUND

    We are seeking a motivated and enthusiastic computational biologist to join the research group of Dr Adam Mead. Funded by the Medical Research Council (MRC) and John Fell Fund, the position is initially available fixed-term for 2 years. You will be involved with developing new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets and will lead a project focused on single-cell analysis of haematopoietic stem and progenitor cells. Working within the MRC WIMM Centre for Computational Biology you will interact closely with Dr David Sims who leads CGAT. The Mead laboratory is located in the excellent environment of the MRC Weatherall Institute of Molecular Medicine, which has a world-renowned scientific environment and outstanding core facilities and equipment, including a dedicated single-cell genomics facility. Our research programme is focused on using single-cell approaches to understand how the normal cellular and molecular pathways in haematopoiesis are perturbed in myeloid leukaemias and in pre-leukaemic conditions e.g. Giustacchini et al Nature Medicine, 2017. For further information on Dr Mead's research group and the Institute please see: www.imm.ox.ac.uk/home.

    REQUIREMENTS

    You will hold a PhD or MSc in statistics, computational biology or a similar scientific subject, with post-qualification research experience. Experience in the analysis of high dimensional datasets and demonstrable skills/track record in statistics are essential. You will also have experience of working in a UNIX/LINUX environment and programming in Perl or Python.

    LOCALE

    Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford

    COMPENSATION

    Grade 8: £39,992 - £47,722 p.a. Consideration will be given to applicants who do not fulfill all of the criteria for a Grade 8 appointment. A reduction in duties and criteria for a Grade 7 appointment (£31,604 - £38,833 p.a.) are detailed in the job description.

    HOW TO APPLY

    Applications for this vacancy are to be made online at www.recruit.ox.ac.uk (Vacancy ID 131303). You will be required to upload a CV and supporting statement as part of your online application.

    DEADLINE

    The closing date for this position is 12.00 noon on 27 October 2017.
    Opportunity: Senior Cancer Analyst @ Genomics England -- London, UK
    Submitted by Eugene Mc Daid; posted on Tuesday, October 10, 2017

    BACKGROUND

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants. Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

    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 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

    RESPONSIBILITIES

    This senior level analyst role is part of a highly motivated Bioinformatics team, working as part of a small team responsible for cancer analysis.
    Accountabilities:
    • Monitoring quality of WGS data
    • Benchmarking tools for cancer WGS analysis
    • Performing computational analyses for a range of projects
    • Developing and implementing new features for cancer sequencing data analysis
    • Establishing general bioinformatics resources for day-to-day use by colleagues

    REQUIREMENTS

    • MSc or PhD (or equivalent experience) in Bioinformatics or Cancer Molecular Biology or equivalent work experience
    • Good knowledge of cancer genomics
    • Solid skillset in Bioinformatics and experience of working as a computational biologist
    • Practical knowledge of NGS algorithms and available resources for cancer bioinformatics
    • Experience with full cycle of analysing NGS data from sequencing QC to annotation and prioritization of variants
    • Experience with handling large data sets and setting pipelines
    • Strong programming skills (Python, R); ability to develop codes as a part of team
    • Practical knowledge and understanding of statistics
    • 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 Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Bioinformatics, Genomics, London, WGS, WES, Cancer, NGS, Molecular, Biology, Computational, QA, QC, Analyst, Python, R, Statistics, Pipeline

    BACKGROUND

    A highly motivated Senior Staff Scientist is needed to work within a world leading Malaria genomics team that uses cutting edge technology to study the comparative and functional genomics of malaria parasites. Our group studies the genome biology and function genomics of parasites.

    RESPONSIBILITIES

    We seek an enthusiastic and innovative individual primarily to provide wide-ranging support and strategic direction to the bioinformatics needs of the Malaria projects with our team. The candidate will get the opportunity to develop projects and collaborations that use comparative genomics, RNA-seq and single cell transcriptomic approaches to explore the evolution and function of genes in malaria parasites. The successful candidate will work closely with other computational and wet lab scientists within the team, as well as the extended Malaria Programme.

    The post holder will be able to advise and instruct others in bioinformatics analyses and may supervise students, junior staff and visiting workers.

    REQUIREMENTS

    • Ph.D. in a relevant subject (e.g biological science, computational biology)
    • Extensive experience in bioinformatics
    • Extensive programming experience
    • Good understanding of sequencing, assembly and analysis technologies
    • Good understanding of sequencing-based functional genomics approaches
    • Demonstrable leadership within an analysis group
    • Ability to communicate work effectively to diverse audiences and to represent group at Scientific meetings
    • Ability to work on large number of projects simultaneously
    • Ability to interact productively with other members of a team
    • Supervision experience

    PREFERENCES

    • Broad and relevant parasitology knowledge
    • Good understanding of Malaria biology

    COMPENSATION

    Salary range £43,000 to £49,000 pa plus excellent benefits.

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

    ABOUT US

    The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre. The Campus is also home to Wellcome Genome Campus Connecting Science. Connecting Science inspires new thinking, sparks conversation and supports learning by drawing on the ground-breaking research taking place on the Campus. Its mission is to enable everyone to explore genomic science and its impact on research, health and society.

    HOW TO APPLY

    Click on the following link: jobs.sanger.ac.uk/wd/p[...]28081

    DEADLINE

    9th November 2017

    POLICY

    Wellcome Trust Sanger Institute welcomes applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.

    BACKGROUND

    A number of PhD positions are available in the Translational Disease Systems Biology group at The Novo Nordisk Foundation Center for Protein Research (CPR – www.cpr.ku.dk). The Center was established at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance. The Center comprises a wide range of expertise and resources including proteomics, protein production, bioinformatics and general characterization of disease mechanisms. The Programme for Disease Systems Biology (DSB) consists of two research groups covering many systems level aspects of biology and medicine, including the integration of molecular-level data and healthcare data, for example laboratory test data and biomedical texts.

    The Translational Disease Systems Biology group (www.cpr.ku.dk/rese[...]unak/) part of DSB and led by Søren Brunak, focuses on establishing early competitive advantages in disease-relevant computational analyses across the general areas of bioinformatics, chemoinformatics, systems biology and medical informatics.

    RESPONSIBILITIES

    The PhDs will work in a multidisciplinary project team. One candidate will work in the EU-ToxRisk consortium, a H2020-funded pan-European research consortium, aiming at delivering strategies to enable reliable animal-free hazard and risk assessment of chemicals. One goal of the EU-ToxRisk consortium is to integrate advancements in system biology and computational modeling to define the complex chains of events that link chemical exposure to toxic outcome. Another candidate will work on data-driven models of temporal disease development using a combination of molecular data and data from the healthcare sector, where the latter has the form of clinical, registry data or complete electronic patient records. These models will in part be descriptive and show how different diseases and diagnosis follow each other over long periods and in part predictive in the sense that longitudinal patterns of illnesses, medication and procedures will indicate future events. The models may be augmented by molecular level biomarker data from genomics or proteomics further increasing the predictive power. Prior knowledge of disease classification schemes and standard vocabularies is an advantage.

    The candidates will focus on data analysis using computational systems biology methods. The candidates will utilize data integration, statistical genetics and pathway-based methods to identify novel biomarkers associated to toxicology.

    REQUIREMENTS

    The candidates hold a master degree or equivalent in biology, genetics, statistics, computational biology, bioinformatics or a related discipline of biomedical research. Preferably, the candidates have experience in statistical genetics, genomics, computational chemistry and knowledge of R. Programming experience is an advantage as is having worked with big data. Research experience in chemical toxicology is a plus. Furthermore, the successful candidates have experience within some of the following areas:
    • Bioinformatics and systems biology at the molecular level
    • Experience with toxicology
    • Medicine, pharmacology or genomics
    • Project management of interdisciplinary research projects within translational bioinformatics
    • Experience with data structures, databases, and data architectures
    • Knowledge of biomedical resources and infrastructures
    • Competences within statistics and/or machine learning techniques
    • Broad understanding of Healthcare data from national registries and electronic patient records from hospitals
    • Prior research experience with healthcare terminologies, schemes and ontologies, e.g. ICD9, ICD10, ATC, and SNOMED CT
    • Experience with CDISC
    The translational disease systems biology group is highly multidisciplinary and collaborates with many other research groups nationally and internationally. Strong networking and team player skills are therefore preferred.

    TERMS

    The duration of the positions is three years. It is conditioned upon the candidates' successful enrollment in the PhD programme. This requires submission and acceptance of an application for the specific project formulated by the candidate. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the University's rules on achieving the degree.

    LOCALE

    The employment is at CPR (www.cpr.ku.dk), University of Copenhagen, located in central Copenhagen. The research environment at CPR is ambitious and international, with approx. 30 different nationalities currently represented. The Center comprises modern laboratories, supercomputer resources and state-of-the-art facilities within protein science. The Center organizes seminars with high-profile international speakers and regular internal research seminars. The selected candidate should expect some travel activity.
    For more information on working and living in Denmark, visit www.ism.ku.dk (International staff mobility) and www.workingconditions.ku.dk.

    COMPENSATION

    Salary, pension and terms of employment are in accordance with the agree­ment between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 26,000 DKK (ca. 3.450 EUR) plus 17% pension.

    The Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC) have agreed on a protocol that makes it possible for all international researchers employed by the University to achieve a pension exemption, where the pension will be paid as salary. For more information about the different pension schemes: ism.ku.dk/onarrival/pension/

    ABOUT US

    Part of the International Alliance of Research Universities (IARU), and among Europe's top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

    HOW TO APPLY

    Application procedure:
    Your application must be submitted electronically by clicking 'Apply now' below or via employment.ku.dk/faculty/

    Your application should include the following documents:
    • Motivated letter of application
    • Curriculum vitae, incl. education and experience, publications (if any), language skills and other skills relevant for the position
    • A certified/signed copy of Master of Science certificate. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor will do
    • Names and contact details for two referees
    APPLY NOW: employment.ku.dk/phd/?show=145955

    DEADLINE

    Deadline for application: October 31th 2017

    After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

    Assessment: The selected applications will be assessed according to the Ministry Order on the Appointment of Academic Staff at Universities 2012 and the University of Copenhagen's guidelines 2013. The Assessment Committee makes a non-prioritized assessment of the academic qualifications and experience with respect to the above mentioned area of research, techniques, skills and other requirements listed in the advertisement.

    You can read about the recruitment process at www.employment.ku.dk.

    Further information:
    For further information, please contact Nanna Birch, nanna.birch[at]cpr.ku.dk.

    POLICY

    CPR and the University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.

    BACKGROUND

    100,000 Genomes Project, competitive salary, WGS, NGS

    A fantastic new opportunity has become available for a Cancer Bioinformatician to join a Genomics company in Central London. Working on the 100,000 Genomes Project you will be part of a highly motivated Bioinformatics team that uses state-of-the-art approaches to whole genome sequences in the areas of cancer, rare diseases, sequence alignment and variant calling.

    Paramount Recruitment are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants. Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. The aim for this project is to create a new genomic medicine service for the NHS – transforming the way people are cared for. Patients may be offered a diagnosis where there wasn't one before. In time, there is the potential of new and more effective treatments.

    RESPONSIBILITIES

    Your main responsibilities as a Cancer Analyst will be:
    • Monitoring quality of WGS data
    • Benchmarking tools for WGS analysis
    • Performing computational analyses for various projects
    • Developing and implementing new features for cancer sequencing data analysis
    • Establishing general bioinformatics resources

    REQUIREMENTS

    The ideal Cancer Bioinformatician should meet the following requirements:
    • Educated at MSc or PhD level (or equivalent experience) in Bioinformatics or Cancer Molecular Biology
    • Good knowledge of and experience working in Cancer Genomics
    • Solid skillset in Bioinformatics and Computational Biology
    • Experience with full cycle NGS data analysis, handling large data sets and setting pipelines
    • Strong programming skills (Python, R)
    • Practical knowledge of NGS algorithms

    COMPENSATION

    In return you will receive competitive salary and have the opportunity to work within a successful company in a fantastic location in Central London.

    HOW TO APPLY

    If you'd like to know more and are interested in applying, please contact Anna on alauterjung[at]pararecruit.com or +44 (0) 121 616 3469 with an up-to-date CV. Look forward to hearing from you!

    Keywords: Cancer Analyst, Cancer Bioinformatician, NGS, WGS, Whole genome sequenc*, Bioinformatic*, Cancer, Python, R, Computational Biolog*, Cancer Genomics, Cancer Molecular Biolog*, PhD, MSc, variant calling, pipelines, UK, London

    BACKGROUND

    LifeArc is the new name for MRC Technology, a medical research charity with a 25 year legacy of helping scientists and organisations turn their research into treatments and diagnostics for patients.

    LifeArc is pioneering new ways to turn great science into greater patient impact. It brings together a network of partners to tackle specific diseases and directly funds academic and early stage research.

    Our Centre for Therapeutics Discovery (CTD) in Stevenage operates at the interface between academic research and the drug discovery industry. We take novel academic targets and generate lead stage small molecules and therapeutic antibodies for indications with unmet medical need.

    We are looking for a highly motivated individual who will support a multidisciplinary team of chemists, biologists and antibody engineers by maintaining and developing our scientific data platforms, and to develop the bioinformatics capability of LifeArc.

    RESPONSIBILITIES

    • You will be supporting our corporate databases (Activity Base, Oracle, Genedata and Dotmatics Bioregister) where our internal biological data on small molecules, proteins and antibodies is stored.
    • You will also help shape our bioinformatics capability by annotating our compound libraries and protein sequences with data from reliable external data sources such as CHEMBL, UniChem and PDB.
    • You will be responsible for maintaining and developing our Dotmatics Browser interface enables our scientists to visualise the data in an efficient manner is a key function of the role.

    REQUIREMENTS

    The successful candidate will:
    • Have a BSc in chemistry or biology and an MSc or PhD in bioinformatics
    • Have experience of a range of programming interfaces such as Python/PERL, JavaScript, Java, web-services, Pipeline Pilot or KNIME are essential requirements of the job
    • Be competent in script-writing in PERL or Python to provide tools for handling chemical and biological data and have an understanding of R statistical packages
    • Have knowledge of pathway analysis and bioinformatics resources, such as Ensembl, UniProt, Pfam, PDB, ModBase, Human Protein Atlas and KEGG would be an advantage
    You will also have excellent communication skills, with the ability to work collaboratively with our scientists and IT department.

    COMPENSATION

    Your salary will be determined by qualifications and experience. In addition, LifeArc offers a defined contribution pension scheme, private health insurance, a flexible benefits scheme and 31 days paid holiday per year.

    HOW TO APPLY

    To apply please email your CV and covering letter explaining why you want to work for LifeArc to: recruitment[at]lifearc.org or by post to Recruitment, LifeArc, Accelerator Building, Open Innovation Campus, Stevenage, SG1 2FX (electronic applications preferred).

    DEADLINE

    Closing date: 8 October 2017

    POLICY

    LifeArc is committed to the principles and practices of equal opportunities and to encouraging the establishment of a diverse workforce. It is our policy to employ individuals on the basis of their suitability for the work to be performed and their potential for development, regardless of age, sex, race, colour, nationality, ethnic or national origin, disability, marital status, pregnancy or maternity, sexual orientation, gender reassignment, religion or belief. This includes creating a culture that fully reflects our commitment to equal opportunities for all.
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