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    BACKGROUND

    The Wellcome Sanger Institute is seeking for an experienced Bioinformatician to provide computational analysis for the new international Cancer Dependency Map consortium, and to other projects engaged in the analysis of data from genome-editing and functional-genomics screens, in collaboration with Open Targets.

    You will join the Cancer Dependency Map Analytics team, actively interacting with the Cancer Dependency Map consortium, whose broad goal is to identify vulnerabilities and dependencies that could be exploited therapeutically in every cancer cell.

    RESPONSIBILITIES

    You will be able to implement and use new computational pipelines for pre-processing and quality control assessment of data from genome-editing screens and for individual project requirements. This will include extending existing software, writing, documenting and maintaining code packages on public/internal repositories. We encourage applications with the background in genomic data curation and familiarity with the management of data from large-scale in-vitro drug/functional-genomic screens.

    Finally, you will interact with Open Targets partners and collaborators, and with web development teams to coordinate data/results flows on the public domain.

    This is an exciting opportunity to work at one of the world's leading genomic centres at the forefront of genomic research. You will have access to Sanger's computational resources, including a 15000+ core computational cluster, the largest in life science research in Europe, and multiple petabytes of high-speed cluster file systems.

    We are part of a dynamic and collaborative environment at the Genome Campus and, although we seek someone who can work independently, you will have the opportunity to interact with researchers across many programmes at the Institute.

    REQUIREMENTS

    • PhD in a relevant subject area (Physics, Computer Science, Engineering, Statistics, Mathematics, Computational Biology, Bioinformatics)
    • Full working proficiency in a scripting language (e.g. R, Python, Perl)
    • Full working proficiency with software versioning systems (eg. Git, gitub, svn)
    • Previous experience in creating, documenting, and maintaining finished software
    • Previous experience with implementing omics-data analysis pipelines
    • Basic knowledge of statistics and combinatorics
    • Full working proficiency in UNIX/Linux
    • Excellent communication skills, ability to interact across multi-disciplinary team to develop and maintain good working relationship
    • Ability to devise novel quantitative models, use relevant mathematics-heavy literature
    • Experience in formulating the world in statistical models and applying them to real data
    • Demonstrated expertise in the management and analysis of very large data sets
    • Demonstrable good time management and project management skills

    PREFERENCES

    • Ability to devise novel quantitative models, use relevant mathematics-heavy literature
    • knowledge of genomics and molecular biology
    • Pevious experience with data from high throughput assays
    • Previous experience with data from genetic screens
    • Full working proficiency in a compiled language (e.g. C, C++, Java, Fortran)

    TERMS

    Fixed term for 3 years

    LOCALE

    Hinxton, Cambridge CB10 1RQ

    COMPENSATION

    Senior Bioinformatician: Salary £36,737 to £44,451(depending on experience) plus excellent benefits; Principal Bioinformatician: Salary £44,151 to £50,000 (dependant on experience) plus excellent benefits

    Our Benefits: Our employees have access to a comprehensive range of benefits and facilities including:
    • Defined Contribution Pension Scheme and Life Assurance
    • Group Income Protection
    • Private Health Insurance
    • 25 days annual leave, increasing by one day a year to a maximum of 30
    • Family friendly environment including options for flexible and part-time working, a childcare voucher scheme and Campus Nursery
    • Two days paid Employee Volunteering Leave a year
    • Employee Discount Scheme
    • Campus Gym, tennis courts, cricket pitch and sports hall plus a range of dining facilities
    • Active Campus Sports and Social Club
    • Free Campus Bus Service

    ABOUT US

    Open Targets is a pioneering public-private initiative between GlaxoSmithKline (GSK), Biogen, Takeda, Celgene, Sanofi, EMBL-EBI (European Bioinformatics Institute) and the WSI (Wellcome Sanger Institute), located on the Wellcome Genome Campus in Hinxton, near Cambridge, UK. Open Targets aims to generate evidence on the biological validity of therapeutic targets and provide an initial assessment of the likely effectiveness of pharmacological intervention on these targets, using genome-scale experiments and analysis.

    Open Targets aims to provide an R&D framework that applies to all aspects of human disease, to improve the success rate for discovering new medicines and share its data openly in the interests of accelerating drug discovery. Our Campus: Set over 125 acres, the stunning and dynamic Wellcome Genome Campus is the biggest aggregate concentration of people in the world working on the common theme of Genomes and BioData. It brings together a diverse and exceptional scientific community, committed to delivering life-changing science with the reach, scale and imagination to pursue some of humanity's greatest challenges.

    HOW TO APPLY

    Click on the follwing link: jobs.sanger.ac.uk/wd/p[...]84596

    Please include a covering letter and CV with your application. Contact francesco.iorio[at]sanger.ac.uk for informal enquiries

    DEADLINE

    Closing date: 12th May 2019

    POLICY

    Genome Research Limited hold an Athena SWAN Bronze Award and will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

    RESPONSIBILITIES

    • Responsible for conducting and supervising research in computational biology, bioinformatics, quantitative genomics or a related field under the supervision of a Research Faculty member. Assumes responsibility for a specific topic within the research program and supervises the postdoctoral fellows and support staff in the conduct of that research.
    • Directly accountable to the sponsoring Faculty member.

    REQUIREMENTS

    Competencies and Skills:
    • Demonstrates extensive knowledge base in computational biology, bioinformatics, quantitative genomics or related field
    • Demonstrates strong critical thinking skills
    • Demonstrated leadership and management skills
    • Demonstrates the ability to work in an independent manner and complete increasingly complex assignments
    • Demonstrates strong teamwork skills and the ability to work effectively in a group environment
    • Demonstrates exceptional organizational, planning, and analytical skills
    • Demonstrates competence in written, oral, and electronic communication skills (interpersonal/communication and technological effectiveness competencies)
    Education and Experience:
    • Ph.D. in computational biology, bioinformatics, quantitative genomics or related field or M.D./D.O. with appropriate bioinformatics background is preferred; exceptional individuals with other advanced degrees demonstrating superior skills and knowledge maybe considered.
    • Minimum of 3 years of relevant experience is preferred.
    • In addition, there is an expectation of a minimum of 5 peer reviewed publications in which the candidate made a significant contribution.
    Working Conditions/physical Demands:
    Work is typically performed in research environment.

    The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria considered necessary to successfully perform the job.

    TERMS

    Department: Research
    Work Schedule: Days
    Work Type: Full Time

    LOCALE

    Location: Danville, Pennsylvania, United States, 17821

    COMPENSATION

    We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.+++ Perhaps just as important, from senior management on down, we encourage an atmosphere of collaboration, cooperation and collegiality.

    ^^^ Does not qualify for J-1 waiver. We are an Affirmative Action, Equal Opportunity Employer Women and Minorities are Encouraged to Apply. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.

    +++ Domestic partner benefits not applicable at Geisinger Holy Spirit.

    ABOUT US

    Our Purpose & Values:
    Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.

    Henry Hood Center for Health Research (HHCHR):
    Located on Geisinger Medical Center's campus in Danville, Pa. was founded in 2003 and is a comprehensive enterprise that promotes traditional health services and clinical, epidemiologic and translational research.

    About Geisinger:
    One of the nation's most innovative health services organizations, Geisinger serves more than 1.5 million patients in Pennsylvania and New Jersey. The system includes 13 hospital campuses, a nearly 600,000-member health plan, two research centers and the Geisinger Commonwealth School of Medicine. Geisinger is known for its focus on caring and innovative programs including the ProvenCare® best-practice approach to maximize quality, safety and value; ProvenHealth Navigator® advanced medical home; Springboard Health® population health program to improve the health of an entire community; ProvenExperience™ to provide refunds to patients unhappy with their care experience; and Geisinger's MyCode® Community Health Initiative, the largest healthcare system-based precision health project in the world. With more than 215,000 volunteer participants enrolled, MyCode is conducting extensive research and returning medically actionable results to participants. A physician-led organization, with approximately 32,000 employees and more than 1,800 employed physicians, Geisinger leverages an estimated $12.7 billion positive annual impact on the Pennsylvania and New Jersey economies. Repeatedly recognized nationally for integration, quality and service, Geisinger has a long-standing commitment to patient care, medical education, research and community service. For more information, visit geisinger.org or connect with us on Facebook, Instagram, LinkedIn and Twitter.

    HOW TO APPLY

    Contact Us: bjhicks[at]geisinger.edu

    PI109214937

    DESCRIPTION

    Postdoctoral positions of Bioinformatics and Cancer Data Science are available in the laboratory of Peng Jiang at the National Cancer Institute (NCI), National Institutes of Health (NIH). The overarching goal of Jiang Lab is to under the process of cancer immune evasion and therapy resistance through computational and data-driven approaches. Candidate will develop statistical and machine learning solutions to advance our ability to treat cancer patients.

    The Jiang Lab is part of the NCI Cancer Data Science Laboratory, a new initiative dedicated to translational omics research and tightly integrated with massive national projects at NCI. As the principal investigator initiating a new team, Dr. Jiang will spend a significant amount of efforts on the candidates to make sure the success of postdoc training. Meanwhile, the NIH Bethesda campus, located at the suburb of Washington DC, is the world's largest medical research facility. Candidates will significantly benefit from the team mentorship of many world-class cancer biologists and clinicians, as well as the abundant data resource generated by many national scale projects at NCI, NIH. For more information about the scientific background of Dr. Jiang, please see the old website (scholar.harvard.edu/pengjiang). The new NCI website will be ready at a later time point.

    REQUIREMENTS

    Experience Required:
    Applicants should have a Ph.D. in computational sciences with high proficiency in bioinformatics, statistics, and machine learning. Candidates with a background in cancer genomics, immunology research, and imaging analysis will be preferentially considered.

    HOW TO APPLY

    Please send a cover letter with past research accomplishments and future research interests, a CV with a publication list, and the contact information of three references to: pengj[at]alumni.princeton.edu.

    Submitter

    BACKGROUND

    A fun and dynamic organization in Boston are working with us exclusively to fill a crucial position on their senior leadership team. This role is for a Head of Next Generation Sequencing, suitable for a Director-VP level candidate with extensive people and project management skills who understands genomics and NGS, from a wet-lab and computational perspective would be ideal.

    The Head of Next Generation Sequencing (NGS) will have oversight of a talented team of computational biologists, bioinformaticians and engineers of diverse qualities and capabilities. We are looking for someone with a proven background managing large, multi-disciplinary teams as this group plans to grow steadily over the next 1-2 years.

    The current team offers a diverse portfolio of sequencing applications including fully automated DNA sequencing, de novo genome assembly, RNA and microRNA sequencing on the Illumina, Oxford Nanopore, and 10X Genomics instruments. We want to speak to someone who enjoys pushing new ideas, using new technology, developing innovative approaches and who can make an impact in people development.

    RESPONSIBILITIES

    • Architect the strategic vision and road map of research and development internal to the NGS Team and across team interfaces
    • Oversee the development, scale-up, and refinement of high-throughput, automated sequencing workflows and services
    • Grow, maintain, and manage NGS services and coordinate special projects for internal collaborators
    • Coordinate multidisciplinary work across Foundry teams, including Software and Automation
    • Provide technical expertise toward the design and execution of experiments to support program team objectives
    • Onboard new genomics technologies and workflows to expand platform capabilities
    • Execute on special projects externally, as required

    REQUIREMENTS

    • PhD in biology, molecular biology, genetics, or related field
    • 5-10 years of experience in managing NGS teams, from a biotech or academia
    • Excellent people and product management skills
    • High-level expertise in project management
    • Ability to mentor technical team members and empower them to excel
    • Exposure to laboratory automation processes
    • Ability to remain poised and flexible while engaging in a fast-paced environment
    • Strong capability of addressing emergent needs, while maintaining focus on long-term strategic goals
    • High-level ability to adapt to change and prioritize multiple responsibilities

    ABOUT US

    This is an exceptional opportunity to join a well-established organization with multi-million dollar budgets to advance genetic engineering across every scientific discipline. They pride their dynamic, start-up environment, working together to maintain the same culture that developed more than 10 years ago. There is a clear, structured approach to career development here, and people are encouraged to develop themselves.

    HOW TO APPLY

    Please don't hesitate to contact Jade to arrange a discussion, you can apply to this advert or send your resume through to jpage[at]pararecruit.com.

    Keywords: Genetic Engineering, NGS, Next Generation Sequencing, Research & Development, Genomics, Synthetic Biology, Technology, Boston, Cambridge, United States

    Submitter

    BACKGROUND

    We are currently supporting the growth of an exciting R&D start-up biotech in Cambridge! This talented team are providing services to develop and optimize unique solutions for DNA and RNA preparation for challenging research, agricultural, clinical and other genomic and genetic applications.

    The company are testing and validating novel methods in DNA and RNA protocols and implementing DNA and RNA workflows for automation for both internal and external projects with collaborators.

    There most recent work has been in leading the development of new technology to advance target enrichment for next generation sequencing, which captures the strengths of both traditional hybridization- and PCR-based strategies. This has been incredibly successful and they have now developed an easily-automatable one-day target enrichment workflow which can scale from one gene to many with exceptional specificity and uniformity.

    We are looking for a Ph.D. level Senior Bioinformatics Scientist to join the team and contribute to upcoming projects.

    RESPONSIBILITIES

    • Working with bioinformaticians, CSO and Engineers to take on theoretical problems and create practical solutions
    • Developing novel computational solutions in support of the Product Development and Contract Services teams
    • Analyzing sequencing data to assess the quality of experimental data
    • Provide results to research and production teams, analyses and visualization for presentations, publications, and marketing materials
    • Using existing analysis pipelines and/or developing new pipelines to provide insight into new technology development
    • Developing and maintaining in-house software and computational tools
    • Contribute to drafting papers, publications, and patent applications
    • Managing project timelines and ensuring project deadlines are met

    REQUIREMENTS

    • Ph.D. in physics, mathematics, bioinformatics, computational science, or a related field
    • 2-3 years of post-doc experience from a biotechnology company or academia
    • Previous experience developing computational solutions to address challenging biological problems
    • Demonstrated ability with several programming languages such as: Java, Scala, C++, Python, R, Unix
    • Experience with cloud computing, preferably Amazon Web Services
    • Experience with AgBio desired

    HOW TO APPLY

    Please don't hesitate to contact Jade to arrange a discussion, you can apply to this advert or send your resume through to jpage[at]pararecruit.com. We are hoping to arrange interviews in the next 1-2 weeks.

    Keywords: Computer Science, Pipeline Development, Software Development, NGS, Sequencing Data, Bioinformatics Scientist, Bioinformatician, Target Enrichment, Boston, Cambridge, United States

    BACKGROUND

    The Wellcome Sanger Institute is a charitably funded research centre and committed to training the next generation of genome scientists. Focused on understanding the role of genetics in health and disease and a world leader in the genomic revolution, our mission is to use genome sequences to advance understanding of human and pathogen biology in order to improve human health. We aim to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. Our science is large-scale and organised into Programmes, led by our Faculty who conceive and deliver our science, and supported by our Scientific Operations teams responsible for all data production pipelines at the Institute.

    We have a statistical analysis and development opportunity within the Cancer, Ageing and Somatic Mutation Group (CASM). It will be embedded in a large multidisciplinary team and will be tasked with further developing our cancer analysis algorithms specifically for cancer predisposition and cancer evolution.

    RESPONSIBILITIES

    The role involves working closely with scientific/IT staff within CASM to develop novel analysis strategies and actively contribute to the statistical modelling and data analysis of this important study. In addition, the role will also involve improving existing algorithms and developing new software when required as well as analysing whole genome sequencing and single cell data.

    The position would suit a Bioinformatician/Statistician who enjoys developing algorithms and statistical modelling to analyse complex NGS biological data sets. We are looking for an individual who enjoys working in a multi-disciplinary team environment, to help solve complex IT issues, which will ultimately aid our analysis of cancer related datasets.

    REQUIREMENTS

    Essential skills/experience:
    • Degree in Bioinformatics, Mathematics, Statistics or Computer Science with a scientific background.
    • Software development skills (using Perl and/or Python)
    • Experience of bioinformatics and familiarity with genome data
    • Evidence of proficiency in Perl programming or another modern computer language
    • Strong UNIX/LINUX skills
    • Experience of working with biological analysis pipelines on multi-node compute clusters
    • Proficient in statistical analysis of genome-wide datasets
    • Previous scientific publications
    • Enjoy working as part of a team

    TERMS

    5 years fixed term contract

    LOCALE

    Hinxton, Cambridgeshire, UK

    COMPENSATION

    Salary in the region of £36,737 - £44,451 (dependent on experience) plus excellent benefits

    Our Benefits: Our employees have access to a comprehensive range of benefits and facilities including:
    • Defined Contribution Pension Scheme and Life Assurance
    • Group Income Protection
    • Private Health Insurance
    • 25 days annual leave, increasing by one day a year to a maximum of 30
    • Family friendly environment including options for flexible and part-time working, a childcare voucher scheme, Campus Nursery and Summer holiday club
    • Two days paid Employee Volunteering Leave a year
    • Employee Discount Scheme
    • Campus Gym, tennis courts, cricket pitch and sports hall plus a range of dining facilities
    • Active Campus Sports and Social Club
    • Free Campus Bus Service

    HOW TO APPLY

    Please include a covering letter and CV with your application. Please visit jobs.sanger.ac.uk/wd/p[...]84154

    DEADLINE

    8th May 2019

    POLICY

    Genome Research Limited hold an Athena SWAN Bronze Award and will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

    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.

    RESPONSIBILITIES

    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.

    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 Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Support, Bioinformatics, Research, NGS, Matrix, HPC, Statistical, External, QA, Analysis, Cohort, Cloud, Human, Genetics, Cancer, Rare, Disease, London

    BACKGROUND

    The Frederick National Laboratory is dedicated to improving human health through discovery and innovation in the biomedical sciences, focusing on cancer, AIDS, and emerging infectious diseases.

    RESPONSIBILITIES

    Program Description:
    LHRI – The Laboratory of Human Retrovirology and Immunoinformatics (LHRI), Clinical Services Program, Applied/Developmental Directorate, has studied mechanism multiple drug resistance (MDR) of HIV and HIV pathogenesis by performing basic and clinical research. The mission of the LHRI is to support NIAID ongoing clinical therapy for HIV-infected patients by investigating the mechanism of immune and viral responses in infected individuals utilizing microbiological, biochemical, and immunological techniques, and bioinformatics analysis

    Key Roles/Responsibilities:
    We are seeking a highly motivated and experienced Bioinformatic Scientist to lead the bioinformatics section in LHRI. The section has provided services as needed for the labs at Frederick and Bethesda/NIAID or any other group NIAID deems appropriate as well as develop bioinformatics tools.

    The Scientist will supervise four employees: two (2) with PhDs, 1 with MS in computational scientists and 1 with MS in statistics and provide leadership to support the extensive NGS and other bioinformatic analytical efforts for the customers and LHRI researchers.

    Duties include:
    • Supervise the group by overseeing each ongoing project and facilitate teamwork on internal and external projects including an internal computing cloud platform in order to facilitate high-throughput analysis of microarray and NGS data and maintenance of bioinformatics database and tool development (david.niaid.nih.gov).
    • Report data analysis of Exon, SNP, including GWAS and gene expression to the customers.
    • Develop novel analytical algorithm research.
    • Manage commercial and open-source software applications and computer systems in support of laboratory instruments and data analysis.
    • Working closely with the Lab head of LHRI in support of scientific manuscript development, submission, revision activities with significant coauthorship and potentially lead authorship opportunities and present data in scientific conferences

    REQUIREMENTS

    Basic Qualifications:
    • Possession of a Doctoral degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a related field (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency.
    • In addition to educational requirements, a minimum of five (5) years of progressively responsible scientific and/or complex system management/bioinformatics experience including development of bioinformatics analysis tools
    • Strong knowledge required of virology, cellular biology, immunology, genome-wide association analysis and interpretation, and applied computational research on large multivariate datasets
    • Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g., Matlab, Python, Perl, Shell, Python, R, Java and C/C++. and a wide range of contemporary, open-source bioinformatics tools and database structures (e.g. PLINK, SNPTEST, GLU, IMPUTE2, BEAGLE, UCSC Genome Browser, etc.)
    • Experience of Phylogenomic, Sequence alignments, Phylogeny reconstruction, analysis of recombination, whole genome sequence, transcriptomics, RNA-Seq microRNA, LincRNA, exome, Data quality assessment, differential expression, heatmap visualizations, pathway and network analyses, protein and nucleic acid interaction, statistical analysis, modeling and simulations, protein structure and interactions predictions
    • Team oriented with excellent written and verbal communication skills, with demonstrated ability to self-educate in current bioinformatics techniques and resources
    • Must be able to obtain and maintain a security clearance.
    Preferred Qualifications:
    • Experience of managing large datasets and computational tasks
    • Experience of Phylogenomic, Sequence alignments, Phylogeny reconstruction
    • Experience of analysis of recombination, whole genome sequence, Transcriptomics/RNA-Seq, microRNA, LincRNA, exome seq and Data quality assessment
    • Experience in the field of molecular and genetics with a strong publication record

    TERMS

    Full Time

    LOCALE

    Facility: Frederick: Ft Detrick
    Location: PO Box B, Frederick, MD 21702 USA

    HOW TO APPLY

    Please visit leidosbiomed.csod.com/ats/[...]d=383

    POLICY

    Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

    BACKGROUND

    A position as postdoc is open in the research group of Professor Anders Børglum, which is a part of the iPSYCH consortium, and located at Department of Biomedicine, Aarhus University.

    Department of Biomedicine:
    We offer a vibrant international research environment where English is the preferred language in the laboratory, at meetings and at seminars. The Department employs some 450 people and covers a range of research areas within Biomedicine. We contribute to the Bachelor's degree programs in medicine, molecular medicine, odontology and the Master's degree programs in biomedical engineering and medical chemistry. Our infrastructure is well developed with modern laboratories, core and animal facilities. You will work either in the brand new 'Skou Building' or similar as we are in the process of modernizing our old facilities. You can read more about the department here (biomed.au.dk/en/) and about the faculty here. (health.au.dk/en/)

    iPsych:
    iPSYCH (Lundbeck Foundation Initiative for Integrative Psychiatric Research) was launched in 2012 as the largest research initiative ever in Danish psychiatry with the overarching aim to identify causes and disease mechanisms in major mental disorders, including large-scale genetic studies to identify genetic risk factors for the disorders.
    Genetic data on around 130,000 individuals is currently analysed in iPSYCH. Additionally, the position will include work related to ongoing activities in the iSEQ center and Center for Genomics and Personalized Medicine, which is a joint data center between the Faculties of Health, Science and Technology, and Central Denmark Region, serving both research activities and personalized medicine activities. The centers aim at integrating multi-layered biological sequencing data with comprehensive phenotypic and environmental data to increase the understanding of the complex molecular systems governing biological function and human disease.

    RESPONSIBILITIES

    Tasks:
    The main focus of the work, in the advertised position, is to identify genetic risk factors and biological mechanisms underlying major psychiatric disorders such as ADHD, autism, depression and schizophrenia. The position entails analyses of large genetic data from thousands of individuals including sequencing data (mainly whole-exome sequencing) and SNP-array data for genome-wide association studies, as well as extended secondary analyses including integration with functional genomics data from external sources.

    The analyses will primarily be conducted at the national high-performance computer cluster GenomeDK at Center for Genomics and Personalized Medicine. Substantial experience in handling and analysing large genetic data is required, in order to succeed in the position.

    Further information:
    The projects are typically part of international collaborations with the Broad Institute (Boston) and the Psychiatric Genomics Consortium as key partners, and the Børglum group comprises researchers from several nationalities, underscoring the need for the candidate to document good communicative skills (verbal and writing).

    TERMS

    The position is for up to three years and may be extended further, potentially entering a tenure track.

    Start: as soon as possible

    Please note: shortlisting will be used

    TERMS

    Terms of employment:
    • Appointment as a postdoc requires academic qualifications at PhD level.
    • Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities. (www.medarbejdere.au.dk/appo[...]ities)
    • The appointment is in accordance with the Danish Confederation of Professional Associations (Akademikerne). (www.ac.dk/english.aspx)
    • Remuneration is in accordance with the above, and the Salary agreement catalogue for staff at Health. (health.au.dk/file[...]k.pdf)
    • Further information on qualification requirements and job description can be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. (www.medarbejdere.au.dk/job_[...]_2013)

    ABOUT US

    Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 39,000 students (FTEs) and 8,000 employees, and has an annual revenues of EUR 884 million. Learn more at www.au.dk/en

    HOW TO APPLY

    Please visit au.emply.net/recr[...]a0c46

    Your application must include the following:
    • Motivated application
    • Curriculum Vitae
    • Diploma
    • A list of publications
    • A teaching portfolio. We refer to Guideline on the use of teaching portfolios (medarbejdere.au.dk/en/a[...]lios/)
    • A maximum of five of the publications of greatest relevance to the job may be submitted
    • References/recommendations can be uploaded separately in the e-recruitment system
    • Template for applicant – postdoc must be completed and uploaded under 'Extra documents' (health.au.dk/en/a[...]stdoc)
    We refer to the faculty's Guidelines for applicants. (health.au.dk/en/a[...]tions)

    The assessment committee may decide to include non-submitted material in its statement. In such cases, you will be informed and obliged to submit material, unless your application is withdrawn.

    Applications submitted through channels other than the online application form or applications which are not received by the application deadline will not be considered.

    All interested candidates are encouraged to apply, regardless of their personal background.

    International applicant?
    Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information about entering and working in Denmark here (international.au.dk/life[...]toau/). Aarhus University also has a Junior Researcher Development Programme. You can read more about it here. (talent.au.dk/juni[...]amme/)

    For more information please contact Project Coordinators Annette Bang Rasmussen (abr[at]biomed.au.dk), Anne Hedemand (anne[at]biomed.au.dk), or Professor, Director Anders Børglum (anders[at]biomed.au.dk).

    DEADLINE

    10 May 2019

    BACKGROUND

    Do you have a degree in bioinformatics, statistics, computer science, or similar background? Are you inquisitive and analytically minded? Are you quick at learning new things and applying them? Do you thrive in an interdisciplinary setting surrounded by people with diverse scientific backgrounds? Then this may be the job for you.

    The Børglum Lab at the iPSYCH centre, Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of statistical genetics starting soon as possible. The position is a full-time position for up to three years.

    Department of Biomedicine:
    We offer a vibrant international research environment where English is the preferred language in the laboratory, at meetings and at seminars. The Department employs some 450 people and covers a range of research areas within Biomedicine. We contribute to the Bachelor's degree programs in medicine, molecular medicine, odontology and the Master's degree programs in biomedical engineering and medical chemistry. Our infrastructure is well developed with modern laboratories, core and animal facilities. You will work either in the brand new 'Skou Building' or similar as we are in the process of modernizing our old facilities. You can read more about the department here (biomed.au.dk/en/) and about the faculty here (health.au.dk/en/).

    About the iPSYCH project:
    iPSYCH (Lundbeck Foundation Inititiative for Integrative Psychiatric Research) was launched in 2012 as the largest research initiative ever in Danish psychiatry with the overarching aim to identify causes and disease mechanisms in major mental disorders, including psychiatric genetics as a key theme. Genetic data on more than 130,000 individuals from a nationwide Danish cohort is currently analysed in iPSYCH (including GWAS and whole exome sequencing data).

    The projects are typically part of international collaborations with the Broad Institute (Boston) and the Psychiatric Genomics Consortium as key partners, and the Børglum Lab comprises researchers from a number of countries.

    RESPONSIBILITIES

    Your job responsibilities:
    As a Postdoc in statistical genetics analysis your position is primarily research-based. You will contribute to the development of the project through research of high international quality. In your daily work, you will work closely with colleagues on your projects.

    In collaboration with the team, you will undertake analysis of large sequencing data sets as the main activity, in particular analysis of whole exome sequencing data from tens of thousands of study subjects of whom the majority suffers from disorders such as schizophrenia, autism and ADHD as well as GWAS of over a hundred thousand individuals.

    Your main tasks will consist of supporting these efforts either directly by conducting the analyses or by developing the software necessary to handle the large amounts of data and carry out the analyses. The analyses are conducted primarily at the national high-performance computer cluster GenomeDK at Center for Genomics and Personalized Medicine.

    You will report to Professor Anders Børglum as your nearest leader.

    REQUIREMENTS

    Your competences:
    You have academic qualifications at PhD level, preferably within statistical genetics, bioinformatics, statistics, computer science, or similar areas. Substantial experience in handling and analysing large sequensing data is an advantage. Strong coding skills and experience with high performance computing as well as relevant experience with at least two of the programming languages Python, bash, perl and R is required.

    As a person, you are inquisitive, analytical and possess good interpersonal skills with an international mindset. We expect you to have a good grasp of English both verbally and in writing.

    In order to be assessed as qualified for a Postdoc position, you must meet these academic criteria. (health.au.dk/en/a[...]docs/)

    Please note: shortlisting will be used.

    LOCALE

    Your place of work will be the Department of Biomedicine, Aarhus University Campus, DK-8000 Aarhus C, Denmark.

    TERMS

    Terms of employment:
    • Appointment as a postdoc requires academic qualifications at PhD level.
    • Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities. (www.medarbejdere.au.dk/appo[...]ities)
    • The appointment is in accordance with the Danish Confederation of Professional Associations (Akademikerne). (www.ac.dk/english.aspx)
    • Remuneration is in accordance with the above, and the Salary agreement catalogue for staff at Health. (health.au.dk/file[...]k.pdf)
    • Further information on qualification requirements and job description can be found in the Memorandum on Job Structure for Academic Staff at Danish Universities. (www.medarbejdere.au.dk/job_[...]_2013)
    The position may be extended further, potentially entering a tenure track.

    If you wish to apply for a position as research assistant within the field of statistical genetics, please follow this link.

    ABOUT US

    Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 39,000 students (FTEs) and 8,000 employees, and has an annual revenues of EUR 884 million. Learn more at www.au.dk/en

    HOW TO APPLY

    Please visit au.emply.net/recr[...]d613b

    Your application must include the following:
    • Motivated application
    • Curriculum Vitae
    • Diploma
    • A list of publications
    • A teaching portfolio. We refer to Guideline on the use of teaching portfolios (medarbejdere.au.dk/en/a[...]lios/)
    • A maximum of five of the publications of greatest relevance to the job may be submitted
    • References/recommendations can be uploaded separately in the e-recruitment system
    • Template for applicant – postdoc must be completed and uploaded under 'Extra documents' (health.au.dk/en/a[...]stdoc)
    We refer to the faculty's Guidelines for applicants. (health.au.dk/en/a[...]tions)

    The assessment committee may decide to include non-submitted material in its statement. In such cases, you will be informed and obliged to submit material, unless your application is withdrawn.

    Applications submitted through channels other than the online application form or applications which are not received by the application deadline will not be considered.

    All interested candidates are encouraged to apply, regardless of their personal background.

    International applicant?
    Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information about entering and working in Denmark here (international.au.dk/life[...]toau/). Aarhus University also has a Junior Researcher Development Programme. You can read more about it here (talent.au.dk/juni[...]amme/).

    Questions about the position:
    If you have any questions about the position, please contact contact Project Coordinators Annette Bang Rasmussen (abr[at]biomed.au.dk), Anne Hedemand (anne[at]biomed.au.dk), or Professor, Director Anders Børglum (anders[at]biomed.au.dk).

    DEADLINE

    10 May 2019

    BACKGROUND

    Do you have a degree in bioinformatics, statistics, computer science, or similar background? Are you inquisitive and analytically minded? Are you quick at learning new things and applying them? Do you thrive in an interdisciplinary setting surrounded by people with diverse scientific backgrounds? Then this may be the job for you.

    The Børglum Lab at the iPSYCH centre, Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as a research assistant in the field of statistical genetics starting soon as possible. The position is a full-time position for up to three years.

    Department of Biomedicine:
    We offer a vibrant international research environment where English is the preferred language in the laboratory, at meetings and at seminars. The Department employs some 450 people and covers a range of research areas within Biomedicine. We contribute to the Bachelor's degree programs in medicine, molecular medicine, odontology and the Master's degree programs in biomedical engineering and medical chemistry. Our infrastructure is well developed with modern laboratories, core and animal facilities. You will work either in the brand new 'Skou Building' or similar as we are in the process of modernizing our old facilities. You can read more about the department here (biomed.au.dk/en/) and about the faculty here (health.au.dk/en/).

    About the iPSYCH project:
    iPSYCH (Lundbeck Foundation Inititiative for Integrative Psychiatric Research) was launched in 2012 as the largest research initiative ever in Danish psychiatry with the overarching aim to identify causes and disease mechanisms in major mental disorders, including psychiatric genetics as a key theme. Genetic data on more than 130,000 individuals from a nationwide Danish cohort is currently analysed in iPSYCH (including GWAS and whole exome sequencing data).

    The projects are typically part of international collaborations with the Broad Institute (Boston) and the Psychiatric Genomics Consortium as key partners, and the Børglum Lab comprises researchers from a number of countries.

    RESPONSIBILITIES

    Your job responsibilities:
    As a research assistant within statistical genetics your position is primarily research-based. You will contribute to the development of the project through research of high international quality. In your daily work, you will work closely with colleagues on your projects.

    In collaboration with the team, you will undertake analysis of large sequencing data sets as the main activity, in particular analysis of whole exome sequencing data from tens of thousands of study subjects of whom the majority suffers from disorders such as schizophrenia, autism and ADHD as well as GWAS of over a hundred thousand individuals.

    Your main tasks will consist of supporting these efforts either directly by conducting the analyses or by developing the software necessary to handle the large amounts of data and carry out the analyses. The analyses are conducted primarily at the national high-performance computer cluster GenomeDK at Center for Genomics and Personalized Medicine.

    You will report to Professor Anders Børglum as your nearest leader.

    REQUIREMENTS

    Your competences:
    You have a degree within statistical genetics, bioinformatics, statistics, computer science, or similar areas. Substantial experience in handling and analysing large sequensing data is an advantage. Strong coding skills and experience with high performance computing as well as relevant experience with at least two of the programming languages Python, bash, perl and R is required.

    As a person, you are inquisitive, analytical and possess good interpersonal skills with an international mindset. We expect you to have a good grasp of English both verbally and in writing.

    Please note: shortlisting will be used.

    TERMS

    Terms of employment:
    • Appointment as a research assistant requires academic qualifications at Master's degree level.
    • Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities. (www.medarbejdere.au.dk/appo[...]ities)
    • The appointment is in accordance with the Danish Confederation of Professional Associations (Akademikerne). (www.ac.dk/english.aspx)
    • Remuneration is in accordance with the above, and the Salary agreement atalogue for staff at Health. (health.au.dk/file[...]k.pdf)
    • Further information on qualification requirements and job description can be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.(www.medarbejdere.au.dk/job_[...]_2013)
    The position may be extended further, potentially entering a postdoc. position.

    If you wish to apply for a position as a postdoc. within the field of statistical genetics, please follow this link: international.au.dk/abou[...]sych/.

    LOCALE

    Your place of work will be the Department of Biomedicine, Aarhus University Campus, DK-8000 Aarhus C, Denmark.

    ABOUT US

    Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 39,000 students (FTEs) and 8,000 employees, and has an annual revenues of EUR 884 million. Learn more at www.au.dk/en.

    HOW TO APPLY

    Please visit: au.emply.net/recr[...]adb15

    Your application must include the following:
    • Motivated application
    • Curriculum Vitae
    • Diploma
    • A list of publications can be uploaded if relevant for the position
    • A teaching portfolio can be uploaded if relevant for the position. We refer to Guideline on the use of teaching portfolios (medarbejdere.au.dk/en/a[...]lios/)
    • References/recommendations can be uploaded separately in the recruitment system
    • Template for applicant – other scientific positions must be completed and uploaded under 'Extra documents' (health.au.dk/en/a[...]tions)
    We refer to the faculty's Guidelines for applicants. (health.au.dk/en/a[...]tions)

    The assessment committee may decide to include non-submitted material in its statement. In such cases, you will be informed and obliged to submit material, unless your application is withdrawn.

    Applications submitted through channels other than the online application form or applications which are not received by the application deadline will not be considered.

    All interested candidates are encouraged to apply, regardless of their personal background.

    Questions about the position:
    If you have any questions about the position, please contact contact Project Coordinators Annette Bang Rasmussen (abr[at]biomed.au.dk), Anne Hedemand (anne[at]biomed.au.dk), or Professor, Director Anders Børglum (anders[at]biomed.au.dk).

    DEADLINE

    10 May 2019

    Submitter

    BACKGROUND

    Paramount are working in partnership with Genomics England to expand their team. To build on the success of the recently completed 100,000 Genomes Project the Government tasked NHS England with support from Genomics England to launch a new NHS Genomic Medicine Service. Through 7 Genomic Laboratory Hubs this offers equitable access to the 55 million people in England to the latest genomic medicine and research which will lead to faster diagnosis and personalised medicine.

    Currently their Clinical Bioinformatics team are looking for a Clinical Bioinformatician to join them on a permanent basis. This role would be ideal for someone with a Bioinformatics background working on clinical data, with some programming experience as well.

    RESPONSIBILITIES

    As a Clinical Bioinformatician you'll be contributing to the Genomic Interpretation Group's review and reporting of findings back to the NHS by applying state-of-the-art approaches to WGS for processing, analysis, quality assurance and annotation which includes integrating phenotypic and other clinical data with WGS to create a world-leading, high-fidelity data repository for the NHS and third party users.

    Your main responsibilities as a Clinical Bioinformatician will be:
    • Contributing to their in-house pipeline to analyse WGS data of patients and aid in the interpretation of findings using clinical bioinformatics capabilities
    • Performing quality assurance of the analysis and interpretation made by third parties and by in-house pipeline for Rare Disease and Cancer
    • Review variant calls in a timely manner, 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

    The ideal Clinical Bioinformatician will fulfil the following criteria:
    • Degree level (Bioinformatics, Medical Science, relevant discipline)
    • Proven scripting skills (Python, Perl) and Bash, R or SQL essential
    • Proven knowledge/understanding in genetics/genomics and variant calling essential
    • Knowledge of bioinformatics best practice guidelines (e.g. ACGS)
    • 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

    COMPENSATION

    In return you will receive a competitive salary and the opportunity to make a real difference and contribute to the project at its most exciting phase.

    ABOUT US

    Genomics England works with key partners to collect, transport, store, quality check and sequence the samples from participants. They are working with the NHS to launch the world's first Genomic Medicine Service. Patients will have access to personalised treatment when there was no option for them before.

    HOW TO APPLY

    If you'd like to know more about the position and apply, please feel free to contact Anna with an up-to-date CV (alauterjung[at]pararecruit.com or +44 (0) 121 616 3469).

    Keywords: Bioinformatician, clinical research, clinical data, patient data, Clinical Bioinformatician, NHS, Cancer, Rare Disease, pipeline, Python, R, bash, SQL, GMC, WGS, Whole Genome Sequencing, quality assurance, ACGS, SOP, Medical Science, Genomics, London, UK

    Submitter

    BACKGROUND

    This is a great opportunity for a strong bioinformatician/ analyst to join a world-renowned institute who are pioneering new approaches for noninvasive molecular diagnostics and analysis of cancer genomes and evolution. The ideal candidate will have a strong NGS background, with particular experience in ctDNA.

    The organisation work with large collections of patient material from different clinical studies, which are analysed by both genome-wide methods and targeted methods for sensitive mutation detection, with the aim to develop novel tools for cancer diagnostics by developing improved methods and demonstrating clinical utility. Furthermore, they explore the biophysical properties of ctDNA with the aim of identifying its origins and interactions.

    RESPONSIBILITIES

    The successful candidate will work closely with the other bioinformaticians in the group to develop and maintain databases and streamline analysis pipelines to ensure timely delivery of results. They will also support non-computational members of the group in devising and implementing project specific analyses.

    REQUIREMENTS

    Skills Required:
    • A good biological background and excellent computing skills
    • Experience in the analysis of sequencing data using software such as GATK is essential.
    • Experience in variant calling from DNA sequencing data
    • Experience in linux based operating environments
    • Experience in use of high-performance computing
    • Very good general data analysis and programming skills
    • Background in cancer research (or relevant topic)
    • Previous experience in the use of statistical software such as R
    • General knowledge of machine learning, classification, and statistics methods, including algorithms and software packages
    • Demonstrated experience in reproducible practices such as the use of git
    Experience Required:
    • Database design and management
    • Good programming and scripting skills, algorithm/software design
    • Analysis of next-generation sequencing data, genomics/evolution or relevant
    • Computational analysis of high-throughput molecular biology experiments
    • Experience in consulting with non-computational research scientists on experimental design and bioinformatics analysis
    • Experience with computational systems and data storage platforms

    TERMS

    3-year Fixed-Term

    COMPENSATION

    There are some great benefits available with this position including a competitive salary and the chance to work with some of the brightest minds in the industry, looking to revolutionise the way healthcare is carried out in the UK.

    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, Analyst, Genomics, NGS, ctDNA, WGS, GATK, Variant, Calling, Linux, HPC, Analysis, Computational, Cancer, Algorithm, Git, Platforms, Cambridge

    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

    • 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

    • 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 Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

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

    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.

    To provide high quality project and relationships management of projects and contracts in Bioinformatics, with particular attention to those that involve third party suppliers, such as Decision Support Suppliers, Annotation Providers, Pipeline/Genomic Analysis Services, Interpretation Services. Ensuring the co-ordination, day-to-day running and on time execution of contract deliverables.

    RESPONSIBILITIES

    • Effectively manage bioinformatics and genomic analysis projects, from end to end.
    • Taking a product ownership role for the contract deliverables, representing stakeholders and aligning requirements and delivery
    • Assist with the collaborative development of bioinformatics and clinical interpretation platforms, to ensure that key milestones are met for their development, highlighting risks to the projects and ensuring that resources are appropriately assigned.
    • Interface with stakeholders such as NHS genomic medicine centres, scientists, clinicians, bioinformaticians and Genomics England working groups as needed to ensure the successful roll-out of software products, and to ensure that customer requirements are met.
    • Support and organise project meetings, including organising and producing agenda, papers, actions and notes.
    • Analyse, interpret and present data to highlight issues or risks and support decision making.
    • Ensure all partners are aware of each other's priorities and activities.

    REQUIREMENTS

    • Experience of managing diverse projects and large initiatives
    • Strong record of leadership and successful delivery of projects across multiple stakeholder groups while under tight timelines
    • Commercial contract and partnership experience desirable and good with senior stakeholders
    • Experience of overseeing software product development is desirable.
    • Data management, operational and scientific problem-solving skills
    • Project management and report writing, analytical and reporting skills
    • Independent, highly organised and possess thorough documentation practices
    • Must have demonstrated excellent ability to interface with customers and internal teams ideally in both clinical and software settings.
    • Be able to work cross-functionally through many teams to execute goals and set and meet milestones.
    • Basic understanding of genetics, sequencing and bioinformatics is essential.
    • Familiar with the challenges of clinical interpretation of genetic test results would be an advantage.

    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, Partnerships, Manager, Genomics, Software, Clinical, Leadership, NHS, Clinical, Scientists, Operational, Data, London.
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