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    Submitter

    BACKGROUND

    Paramount are currently assisting an international pharmaceutical organisation with the exciting developments within their data science and translational medicine group in the UK.

    This company are at the forefront of drug discovery, supporting both early and late development projects in therapeutic areas such as the central nervous system (CNS). The data science team themselves are highly skilled in the analysis and interpretation of omics and screening data, advanced data analytics and quantitative methods.

    RESPONSIBILITIES

    During your post as a Post Doc Bioinformatics with the company, you will support the team in understanding the requirements for advanced data analytics and deliver insights and novel methodologies to facilitate decision making in candidate selection. This person will be involved in some data wrangling, data management and running pipelines. You will be communicating regularly with scientists and therefore should have basic biology knowledge. This role will also be very creative in technology development for the data they are working with, which will include flow cytometry. In addition, you should have an analytical approach and some statistical knowledge.

    You will be part of a highly motivated, multi-disciplinary team all driven by a passion to improve decision making in Drug Discovery by leveraging advanced data science/quantitative methods. This group supports both early and late development projects and with a wide range of expertise such as the analysis/interpretation of -omics, imaging, and real-world evidence datasets

    REQUIREMENTS

    What we are looking for:
    • PhD level candidate in bioinformatics/computational biology
    • Flexibility, genuine intellectual curiosity, ideation and eagerness to contribute are key elements of the position
    • Strong interpersonal skills and communicating complex concepts to non-experts
    • The individual should have a passion for statistical concepts, data mining, and visualization of biological data types
    • Extensive experience of implementing and executing of pipelines for the interpretation of biological data, e.g. in R or Python
    • Experience in the analysis/interpretation of a variety of data types or other single cell technologies e.g. single cell RNA-seq

    TERMS

    12-month contract (scope for extension)

    LOCALE

    Office Based in Berkshire – Office based - Informatics Team – Pharmaceutical

    COMPENSATION

    There is a competitive hourly rate on offer for this role.

    HOW TO APPLY

    Please feel free to contact Jade on +44 121 616 3472 for more information or to discuss the role further. This is a great opportunity for a recent PhD graduate in the field to gain exposure in a pharmaceutical company, or for someone who already has 2 years of experience and would like to join a supportive team and exciting project.

    Keywords: Bioinformatics, Computational Biology, Screening, Informatics, Statistics, Flow Cytometry, Biological Data, Data Analytics, Berkshire, UK, Genomics, Human Genetics, Pharmaceutical

    BACKGROUND

    The University of Auckland is New Zealand's leading university, with a turnover of NZ$1.1bn, including research revenue of over $200m generated across eight diverse faculties and two research institutes. We employ more than 5,400 academic and professional staff to support over 41,000 students, making us one of NZ's largest employers.

    We are looking for an experienced and motivated Bioinformatician with skills in mass spectrometry data analysis/interpretation, computer coding for mass spectrometry data analysis, bioinformatics, education and communication.

    About us:
    The newly established Mass Spectrometry Hub (MaSH) exists to develop a virtual mass spectrometry data analysis, technical and research support platform to facilitate investigators from diverse fields to apply mass spectrometry techniques to their own research and generate meaningful interpretations of mass spectrometry data.

    REQUIREMENTS

    Who are we looking for?
    • The successful applicant will have a PhD degree in bioinformatics or computer science, with preferably a track record of peer-reviewed publications in this field.
    • They must be able to work with others in a collaborative environment and foster an enjoyable and focussed workplace.
    • They will have experience in the development of software tools and workflows for the analysis of a range of mass spectrometry data using coding languages (e.g. R, C, Python, MATLAB).
    • Ideally, they will have experience with analysis of data generated from global as well as targeted proteomics/metabolomics analysis using SWATH, GC-MS or LC-MS platforms, and biological pathway analysis.
    • They will also have excellent communication and people skills, and be able to work both independently and as part of a team.
    In addition to the roles above, the appointee will be expected to devote a proportion of their time to developing their own research programme, either independently or in collaboration with other researchers that are associated with the MaSH.

    TERMS

    This is a full-time position, available for a fixed-term of two and a half years. Candidates must be available for an immediate start, and will be expected to work relatively independently while under the supervision of the Coordinator of the MaSH.

    COMPENSATION

    Why us?
    The University is committed to providing an excellent working environment through flexible employment practices and a culture that encourages and supports staff to reach their full potential. We offer a competitive salary, five weeks' annual leave, and over 300 different career development courses.

    In addition, the University offers discounted car parking, childcare and a number of other subsidies on internal and external services.

    If this sounds like the opportunity you're looking for, apply today!

    HOW TO APPLY

    For further information please contact Dr Angus Grey ac.grey[at]auckland.ac.nz

    For further information and to apply online please visit www.auckland.ac.nz/opportunities

    DEADLINE

    Applications close Sunday, 12 August 2018.

    POLICY

    The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive and equitable environment. For further information on services for Maori, Pacific, women, LGBTI, equity groups, parenting support and flexible work go to www.equity.auckland.ac.nz.

    Direct enquiries only please – no agencies.

    BACKGROUND

    Computercraft is seeking a forward-thinking product owner to work on site at the National Center for Biotechnology Information (NCBI) to drive the advancement of existing and new sequence analysis and display tools. The product owner will develop and actualize a user-focused vision for NCBI's displays and tools that are part of many well-known sequence resources (e.g., BLAST, RefSeq, Gene, Genome Data Viewer) relied upon daily for sequence alignment and analysis. This work will involve identifying and prioritizing customer needs, conceiving a vision for the advancement of these displays and tools, and developing a plan to guide implementation.

    To see the "big picture," the right candidate will have training in molecular biology, bioinformatics, or related field and bench research to understand the science; familiarity with graphical displays (genome browsers), aligners, and sequence analysis tools to understand currently available resources; knowledge of how these tools are used by those engaged in basic research, clinical work, and educational efforts to understand the needs of NCBI's users; and experience in the area of software development to understand the process for transforming ideas into public-facing online products. The product owner will work in a cross-functional capacity, communicating with both scientists and programmers as well as NCBI leadership.

    RESPONSIBILITIES

    • Determine community needs with respect to different areas of sequence analysis through attendance at research conferences, analysis of the literature, and the establishment of relationships with biologists and bioinformaticians
    • Evaluate competitor tools
    • Identify existing and new research areas that would benefit from tools and displays offering access to NCBI sequence data
    • Support program leadership in defining a product vision, a road map, and growth opportunities for sequence data analysis tools
    • Provide direction to Agile development teams to transform NCBI's value-added sequence data into resources serving researchers, educators and clinicians world wide
    • Define, evaluate, and apply key performance indicators in development of NCBI resources

    REQUIREMENTS

    Minimum Qualifications:
    • Ph.D. in molecular biology, bioinformatics, or related field
    • Extensive experience with a wide range of locally developed, public and/or commercial tools for sequence analysis and visualization of biological data (e.g., graphical displays/genome browsers, BLAST, alignment tools)
    • Experience with software development, including writing scripts
    • Ability to develop a creative, user-focused vision and communicate vision to developers
    • Proficiency in problem solving, planning, and time management
    • Excellent verbal and written communication, consensus-building, and interpersonal skills
    • Ability to guide and motivate a product team and collaborate with cross-functional groups of scientists and software developers

    PREFERENCES

    Preferred Qualifications:
    • Demonstrated engagement with communities developing or using sequence analysis tools
    • Postdoctoral training
    • Familiarity with Agile development methods
    • Certified Scrum Product Owner (CSPO)

    TERMS & LOCALE

    This is a full-time position working on site at NCBI, NIH, in Bethesda, Maryland.

    COMPENSATION

    Computercraft offers a competitive salary, an excellent benefits package, the opportunity for a positive work--life balance with a standard 40-hour work week, and the chance to work alongside a team of highly accomplished professionals.

    HOW TO APPLY

    To apply for this position or learn about other Computercraft job opportunities, please visit the Careers section of our website: www.computercraft-usa.com.

    POLICY

    Computercraft is an equal opportunity employer.

    Submitter

    BACKGROUND

    Genetics – Sequence Data – Rare Disease – Cancer – Omics Data – Machine Learning

    Excellent remuneration, 3 year contract, supportive culture, human genome project

    Paramount Recruitment have partnered with a world-renowned Centre in Oxford recognised for their contributions to genomic research and cutting-edge genomic technologies. This team of talented geneticists and bioinformaticians have an opening for a new senior-level Bioinformatician to join them on a 3-year contract with the potential to extend.

    We are looking for someone with experience in analysing human genome sequence data, and developing and applying bespoke bioinformatics pipelines for annotation and interpretation of rare disease and cancer genomes. Experience in the development of novel methods for analysis of copy number, structural and regulatory variants is preferred, along with skills applying novel machine learning approaches for interrogation & integration of large omics datasets.

    This is a brilliant opportunity for a motivated Bioinformatician to take on a leadership position supervising a small group of bioinformatics scientists while contributing to the highly successful translational programme of the research centre. You should be motivated to develop research interests in line with the institute and participate in additional education/training where appropriate.

    There are also excellent opportunities for your own independent genome research, and you will have access to datasets both in-house and through the UK's 100,000 Genomes programme. In this role you will also support public engagement activities on behalf of the Centre and liaise with other bioinformaticians at partner organisations as required.

    REQUIREMENTS

    Experience Required:
    • PhD in bioinformatics or statistical genetics
    • Strong post-doctoral experience in human genome sequence analysis
    • Excellent programming skills in languages such as Perl, C/C++, R, Python
    • Proven background developing novel bioinformatics tools and algorithms for analysis of genetic data
    • Experience implementing, improving and maintaining bioinformatics pipelines
    • Familiarity with a range of sequencing methods (Illumina, Oxford Nanopore)
    • Experience supervising other scientists and working as part of a team
    • Excellent communication skills is essential

    TERMS

    The position is fixed-term for three years in the first instance with the possibility of extension.

    COMPENSATION

    There are a generous range of benefits on offer including pension, 30 days holiday, discounted rates at a sports facility and childcare support services.

    HOW TO APPLY

    To discuss the full job description and register your interest, please apply to this advert and send along your CV/cover letter. You can also speak to Jade Page on +44 121 616 3472.

    We look forward to hearing from you.

    Keywords: Genetics, Bioinformatician, Sequence Data, Rare Disease, Cancer, Omics Data, Machine Learning, Statistics, Oxford, Research Centre, Clinical

    Submitter

    BACKGROUND

    Human Genome Sequencing – Variants – Bioinformatics Pipelines – Omics Data – Cancer

    A new opportunity has become available with an outstanding academic institute in Oxford. We are looking to speak to a Bioinformatician to join a talented team of around 7 people supporting the analysis of human genome sequence data and translating genomics into the clinic to inform diagnosis and treatment of patients. This role is currently offered until March 2020, with the possibility to extend.

    RESPONSIBILITIES

    In this role you will be involved in the development and application of bioinformatics pipelines for analysis of human genome sequencing data including alignment, calling, annotation and interpretation of single nucleotide, non-coding and structural variants. You will conduct analysis of data from rare disease and cancer patient's samples leading to the identification of disease-causing variants. The team are also keen on those with an interest in machine learning methods, as they start to explore these techniques for complex genomes sequencing datasets.

    In addition, you will also have the opportunity to work closely with the national 100,000 genomes programme, liaising with the team at Genomics England and providing bioinformatics expertise as required and appropriate.

    You will also conduct your own research projects in the development of novel bioinformatics tools and algorithms, and contribute to disease-specific research projects within the group.

    REQUIREMENTS

    Experience Required:
    • PhD in bioinformatics or statistical genetics
    • Strong post-doctoral experience in human genome sequence analysis
    • Excellent programming skills in languages such as Perl, C/C++, R, Python
    • Experience improving and maintaining bioinformatics pipelines
    • Good knowledge of genetic variant databases
    • Willingness to contribute to collaborative programmes such as GeL and DDD (Deciphering Developmental Disorders)
    • High level of self-motivation and initiative to work independently
    • Experience working with other omics analyses would be an asset
    • Excellent communication skills is essential

    TERMS

    The position is fixed until March 2020 in the first instance with the possibility of extension.

    COMPENSATION

    There is a generous range of benefits on offer including pension, 30 days holiday, discounted rates at a sports facility and childcare support services.

    HOW TO APPLY

    To discuss the full job description and register your interest, please apply to this advert and send along your CV/cover letter. You can also speak to Jade Page on +44 121 616 3472.

    We look forward to hearing from you.

    Keywords: Genetics, Bioinformatician, Sequence Data, Rare Disease, Cancer, Omics Data, Machine Learning, Statistics, Oxford, Research Centre, Clinical

    BACKGROUND

    We are recruiting a senior software developer to join our team and build Laboratory Information Management Systems (LIMS) for the UK's leading genetic research institute dedicated to improving human health. There will be exposure to all aspects of software development, from eliciting requirements from users, through development and testing, to deployment to production systems. The technologies used change over time, and you will be able influence the ones that are chosen.

    RESPONSIBILITIES

    You will work with a variety of technologies (including Vue.JS, Rails, Python, Java, REST, MySQL, RabbitMQ, Ansible, Git and OpenStack) to provide web-based LIMS to our internal customers. You will develop software that is used in the laboratories to track the work carried out and help the organisation work towards its mission to use genome sequences to increase understanding of human and pathogen biology to improve human health. The domain constantly evolves and challenges developers to construct inventive solutions.

    REQUIREMENTS

    • An upper second honours degree in Computing and IT or equivalent experience
    • An in-depth knowledge of at least two programming languages one of which will be Java, Python or Ruby
    • A years' of experience developing multi-user concurrent systems using MVC frameworks in a commercial setting
    • A years' years of experience with modern software development tools and practice including test driven development, distributed version control and continuous integration
    • Experience of at least one of the following:
      • Working with relational databases (design and interaction)
      • Working knowledge and experience of agile project methodologies
      • Human Computer Interaction (HCI) and/or a passion for user experience (UX)
    • Excellent written and verbal English communication skills are essential
    • An interest in ever-changing science that supports research at scale to deliver outstanding improvements in human an animal health

    PREFERENCES

    • You are relaxed about change, viewing it as an opportunity
    • You feel confident when working as a team to design the best solutions
    • You are eager to learn new skills
    • You are curious about processes and improving them

    LOCALE

    Hinxton, Cambridge, UK

    COMPENSATION

    Salary in the region of £41,000 plus excellent benefits

    HOW TO APPLY

    Please visit www.jobs.sanger.ac.uk

    DEADLINE

    22nd July 2018

    OVERVIEW

    Research Analytics is a global team of computational scientists, operating across six R&D sites. We pursue innovative computational research towards Celgene objectives, across domains ranging from bioinformatics, computational biology to machine learning, systems biology and mathematical modeling.

    Current areas of investigation include application and development of novel computational approaches to unravel the mechanism of action of Celgene's pipeline compounds and identify therapeutic targets, methods for integrative analysis of omics data, predictive approaches to patient stratification, and mathematical models of intra- and inter-cellular processes. In addition, we are involved in a range of academic collaborations aimed at understanding disease at molecular and systems level.

    To join our team at the Celgene Institute for Translational Research Europe (CITRE) in Seville, Spain, we are looking for a Research Scientist, Machine Learning & Predictive Science. The successful candidate will work closely with Celgene's global Research Analytics team to develop and apply robust predictive methodologies across drug development programs. Patterns identified from high-throughput molecular data will contribute to discovery research, clinical programs, and prediction of patient response across a variety of oncology and inflammatory diseases of unmet medical need. Also, we encourage our scientists to identify and explore innovative ways for computational research to impact projects and guide Celgene decision making.

    Prior biological or clinical expertise is not required – experience of applying machine learning to real-world problems and a strong interest in the interdisciplinary application of predictive methods to life sciences data are imperative.

    RESPONSIBILITIES

    Responsibilities include, but are not limited to:
    • Implementing and developing contemporary predictive algorithms, evaluating and assessing the most suitable feature space representation and algorithm type for a given problem
    • Translating biological hypotheses into robust and reproducible classification algorithms, suitable for clinical diagnostics
    • Apply advanced predictive models to biomedical data and questions (in-house/public high-throughput profiling, clinical data, integration of multiple data types, mechanistic inference)
    • Contribute machine learning expertise to in-house projects and external collaborations
    • Presentation and reporting of methods, results and conclusions to a publishable standard

    REQUIREMENTS

    • PhD in applied machine learning, computer science, computational biology / bioinformatics or related fields, from a recognized higher-education establishment
    • Prior experience (3+ years minimum) of inter-disciplinary applied machine learning in an academic or scientific research scenario
    • Expertise in algorithmic implementation using both existing software libraries and de novo code and scripting (e.g. R/Matlab, Python)
    • Experience with version control and high-performance computing, including cloud computing and/or big data analytics platforms
    • Collaborative spirit, proven ability to contribute beyond personal projects
    • Ability to understand and communicate the output of computational research to multi-disciplinary scientific teams
    • Verbal and written English language fluency. Proficiency in Spanish would be advantageous
    The position presents a unique opportunity to experience research in an industry setting and to contribute to helping patients with unmet medical need, while maintaining a link to academic research (publication is encouraged).

    TERMS & LOCALE

    The position advertised is fixed-term (24 months) and based in Seville, Spain, reporting to the Sr. Principal Scientist, Research Analytics at CITRE.

    HOW TO APPLY

    Those interested in the position described should submit full CV and cover letter addressed to Virginia Garcia (vgarcia[at]celgene.com).

    DESCRIPTION

    A postdoctoral position in Physical Bioinformatics, funded by the National Science Foundation, is available in Ed O'Brien's lab, located at Penn State, University Park. This researcher's efforts will be focused on studying translational control of gene expression through development of bioinformatic analysis tools rooted in the physical sciences to extract translation rates from NGS data, and computational predictions that will be experimentally tested by our collaborators. The O'Brien Lab is a multi-disciplinary team of researchers from the fields of chemistry, physics and bioinformatics who address questions at the cutting-edge of molecular and cellular biology through the development and application of computational and theoretical techniques. These tools include mathematical modeling, simulations and bioinformatic methods. A major effort in the lab is to understand influence of translation kinetics on downstream in vivo protein behavior. Additional information concerning the O'Brien Lab can be found at chem.psu.edu/directory/epo2 and obrien.vmhost.psu.edu.

    REQUIREMENTS

    A Postdoctoral Scholar hired into this position will have strong computational skills, including experience scripting and performing data analyses of next generation sequencing (NGS) data, as well as experience designing computational analyses for answering biological research questions. An education or training in physics or chemistry is strongly preferred.

    The start date for this position is flexible – any time between August and November 2018 is possible. This position requires a Ph.D. by the time of employment.

    LOCALE

    Pennsylvania State University, University Park, PA

    HOW TO APPLY

    Applications must be submitted electronically at psu.jobs/job/80210.

    The application should include a cover letter and curriculum vitae, including an explanation of prior training, qualifications for this position, and a list of publications. Review of applications will begin immediately and continue until the position is filled.

    DESCRIPTION

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.

    At BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world's leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation.

    We provide a challenging and rewarding work environment with a strong emphasis on process safety, as well as the safety of our employees and the communities we operate in, and are always working to form the best team – especially from within, through an emphasis on lifelong learning and development.

    And we are constantly striving to become an even better place to work. BASF has been recognized by Forbes Magazine as one of America's Best Employers in 2017. Come join us on our journey to create solutions for a sustainable future!

    Bioinformatics, Senior Team Lead (1803118) – San Diego, CA

    Where the Chemistry Happens

    BASF is seeking a Senior Team Lead like you to provide technical and strategic leadership for a team of bioinformaticians focused on the analysis of raw data generated through the sequencing of DNA, RNA, and proteins; including the processing, analysis, integration, and visualization of data, as well as functional annotations. Leading a team of cross-functional professionals, you will create an inclusive environment which embraces and derives value from diversity, provide direction and guidance to meet performance goals within their area of responsibilities while fostering their professional growth and development.

    Qualifications – BASF recognizes institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent

    Formula for Success:
    • Leveraging your bioinformatics and research expertise you will support our project partners in molecular biology, enzymology, and biochemistry, deliver hands-on scientific support for projects by analyzing genome, proteome, transcriptome, and various other datasets for in-depth mining and interpretation.
    • Your ability to consistently display your strategic thinking and influencing skills will be a valued asset as you actively build relationships and network with internal and external research groups, work collaboratively, conduct strategic planning, and support our functional vision focused on continuously improving bioinformatics expertise, algorithms, and methods.
    • As a trusted advisor supporting our Global Digitalization in R&D division you will identify opportunities, develop and execute action plans, designed to ensure workflow automation, and pathway analysis including data visualization networks.
    • Successfully engaging across the business, will manage diverse projects as part of our local, regional, and global initiatives to ensure continuous improvement.
    • You will be relied on to develop, apply, and evaluate new software solutions and web applications to manage workflow automation, pathway analyses, and data visualization.
    • Applicants with a Ph.D. in Bioinformatics and experience in industrial enzyme design or strain development are highly desired.
    Leadership Expectations...
    As a leader at BASF, you will play a key role in creating value for the company through people. Our top candidate will be expected to enable greater personal success among our employees through quality people development, coaching, and performance management. Leaders at BASF are role models to help employees develop the competencies needed to implement BASF's strategy. Our expectation is that leaders will coach and develop team members to reach their full potential, and support relevant development assignments, opportunities and moves while motivating and challenging employees to drive high performance. Our leaders must be committed to "hiring the best" internally and externally at the same time they are creating an inclusive environment which embraces and derives value from diversity. Finally, a leader at BASF must establish and support our safety culture in which all accidents are preventable.

    TERMS

    Job Type: Standard

    LOCALE

    San Diego, CA, US

    COMPENSATION

    Create Your Own Chemistry: What We Offer You...
    Adding value to our customers begins with adding value to you. You@BASF is the suite of benefits, perks, programs and unique opportunities we offer to support you---the whole you---in all stages of your life and career. With you@BASF, you create your own chemistry.

    The total rewards that you receive as a BASF employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you'll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.

    BASF provides interesting and challenging learning and development opportunities to help you make the most of your talents and your job.

    HOW TO APPLY

    Apply Online at: basf.jobs/nort[...]11101

    Job Field: REDE – Research & Development
    Company: BASF Corporation
    Job ID: EN_US_1803118

    BACKGROUND

    NIEHS is seeking a dynamic, highly motivated Senior Scientist to serve as Director of the Office of Data Science (ODS). ODS provides guidance and strategies in the acquisition, development, and deployment of scientific data and knowledge management solutions at NIEHS through the informationist, and data science programs. The mission of ODS is to accelerate scientific discovery, foster collaborative research, and ultimately improve public health through the application of scientific data and knowledge management in the environmental health sciences. ODS: (1) Implements and translates new data science methods to enhance environmental health sciences research; (2) develops and implements data science training opportunities; (3) enhances researcher's ability to find, access, interoperate, and reuse data; (4) develops and supports policies and standards for data integration and harmonization; (5) facilitates transformation of data and information into user-friendly knowledge-based platforms; and (6) represents NIEHS in trans-NIH and interagency data science and knowledge management activities.

    RESPONSIBILITIES

    In collaboration with the Computer Technology Branch and the Scientific Information Office, ODS works to implement FAIR (findable, accessible, interoperable, and reusable) data concepts within the NIEHS. The ODS is envisioned to comprise 5 on site staff with a data curator and data science architect to be hired, and access to a significant support contract with annual resources totaling ~ $2.7-3 M.

    We are seeking a highly qualified individual with detailed scientific knowledge of informatics and software engineering with a focus on the life sciences. The incumbent will be experienced in directing research in the development of new technologies in the area of data management, and will have supervisory experience.

    REQUIREMENTS

    The ideal candidate for this position will have a professional research-based doctoral degree (Ph.D.) in computer science or a related field, plus experience in the life sciences, evidence of national recognition, publications in appropriate scholarly journals, and demonstrated success in the development of production--level software, hardware, or integrated data management applications.

    Finally, the candidate must possess the communication and people skills to work across the NIEHS intramural and extramural research divisions to champion the implementation of best data management practices and procedures, as well as devise a data management infrastructure that meets the needs of the institute and is in synchrony with data management tools and approaches across the 27 NIH institutes and centers.

    LOCALE

    Research Triangle Park, NC

    ABOUT US

    The NIH is the premier biomedical research center for the world. Its 27 institutes and centers employ more than 18,000 employees doing a vast array of jobs, all supporting efforts for a healthy nation. For information about the NIH mission, goals and institutes and centers, visit www.nih.gov/about.

    HOW TO APPLY

    Interested candidates should submit their full curriculum vitae, including bibliography, and a 3- to 4-page statement which highlights past research and key qualifications, and the applicant's philosophy for supporting the mission of the ODS, as ONE (1) combined PDF to Ms. Bonnie Earnhardt at int-appls[at]niehs.nih.gov. Please reference vacancy number DIR-AC1320 and your name in the subject line of your email submission. Please include in your CV a description of mentoring and outreach activities, especially those involving women, or persons from other groups which are underrepresented in biomedical research. In addition, applicants must arrange to have three (3) letters of recommendation sent to int-appls[at]niehs.nih.gov. Please be sure referees include your name and Vacancy Number DIR-AC1320 in the subject line of their email. Incomplete applications will not be evaluated or considered.

    DEADLINE

    Applications for this position will be accepted 07/23/2018 through 08/01/2018 only.

    POLICY

    DHHS, NIH, NIEHS are an equal opportunity employer. Applications from women, minorities and persons with disabilities are strongly encouraged.

    Submitter

    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.

    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 senior level analyst role is part of a highly motivated Bioinformatics team, working as part of a small team responsible for cancer analysis.

    RESPONSIBILITIES

    Your responsibilities will include:
    • 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

    You will need to meet the following 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.

    ABOUT US

    Genomics England works at the cutting edge of science, technology and healthcare. Our mission is to deliver the ground-breaking 100,000 Genomes Project -− the biggest national genome sequencing project of its kind anywhere in the world. As it moves beyond the 100,000 Genomes Project, Genomics England will work with NHSE to launch the world's first Genomic Medicine Service within a national healthcare system. In partnership with government, the NHS, academia, industry and the public, Genomics England aims to realise the potential of genomic medicine: to embed state-of-the-art care in the NHS; bring health benefits to UK citizens; and consolidate the UK's position as the 'go to' destination for international genomic research and investment.

    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

    Submitter

    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.

    The team are looking for an experienced bioinformatician with software development experience to work as part of the team responsible for pipeline delivery.

    RESPONSIBILITIES

    Your main responsibilities will be to:
    • Produces high quality code
    • Liaises with internal and external parties to determine platform requirements
    • Maintains in-house capability to analyse WGS data of patients with cancer or rare diseases and conducts interpretation of findings
    • Performs computational analyses for a range of projects
    • Implements programs for high-throughput sequencing data analysis
    • Establishes general bioinformatics resources for day-to-day use by colleagues
    • Contributes to the team's continuous improvement efforts

    REQUIREMENTS

    You must meet the following requirements:
    • MSc or PhD (or equivalent experience) in Biology or related discipline. Preferably with a Post doctorate and several years' experience of working in this field
    • Experience of working as a computational biologist, delivering bioinformatics database solutions
    • Good Python coding skillset
    • Solid skillset in Bioinformatics
    • Good exposure to Linux, Git, Postgres (or similar)
    • Solid expertise of developing algorithms and software to analyse large data sets
    • 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.
    • Excellent technical writing skills

    COMPENSATION

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

    ABOUT US

    Genomics England works at the cutting edge of science, technology and healthcare. Our mission is to deliver the ground-breaking 100,000 Genomes Project −- the biggest national genome sequencing project of its kind anywhere in the world. As it moves beyond the 100,000 Genomes Project, Genomics England will work with NHSE to launch the world's first Genomic Medicine Service within a national healthcare system. In partnership with government, the NHS, academia, industry and the public, Genomics England aims to realise the potential of genomic medicine: to embed state-of-the-art care in the NHS; bring health benefits to UK citizens; and consolidate the UK's position as the 'go to' destination for international genomic research and investment.

    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: Senior, Bioinformatics, Genomics, London, WGS, Rare Disease, Cancer, Python, Linux, PostgreSQL, Algorithm, Database, Analysis.

    Submitter

    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.

    RESPONSIBILITIES

    The team are looking for an experienced software developer who will be responsible for creating web applications and utilising programming skills for the interpretation of genetic data from large databases.

    The post holder is responsible for developing and operating computational pipelines, working on complex projects and custom tasks that span a wide variety of analysis problems and developing and maintaining a knowledge base of variants and annotations.

    Your main responsibilities will include:
    • Develops and applies state of the art approaches to 100,000 whole genome sequences (WGS) in the areas of:
      • Quality assurance and sample provenance monitoring
      • Analysis of WGS in cancer and rare diseases
      • Sequence alignment and variant calling
    • Assists with the deployment, maintenance and troubleshooting of computational pipelines for WGS processing and analysis
    • Liaises with internal colleagues as needed to ensure the provision and smooth running of the computational pipelines for data processing and analysis.

    REQUIREMENTS

    You will need to meet the following requirements:
    • Degree in computer science or software engineering
    • Proficiency in Bash and Java are required and Python is desirable.
    • Experience in assigning APIs
    • Proficiency with MongoDB, a UNIX/ Linux environment and TDD practices
    • Proficiency in collaborative development tools such as Github, Confluence and JIRA
    • Comfortable using of high performance computing clusters
    • 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
    • Flexible and co-operative approach to colleagues
    • Good attention to detail
    • Post-graduate degree or equivalent work experience in bioinformatics (desirable)
    • Experience in the development of NGS analysis pipelines for large numbers of samples (desirable)

    ABOUT US

    Genomics England works at the cutting edge of science, technology and healthcare. Our mission is to deliver the ground-breaking 100,000 Genomes Project −- the biggest national genome sequencing project of its kind anywhere in the world. As it moves beyond the 100,000 Genomes Project, Genomics England will work with NHSE to launch the world's first Genomic Medicine Service within a national healthcare system. In partnership with government, the NHS, academia, industry and the public, Genomics England aims to realise the potential of genomic medicine: to embed state-of-the-art care in the NHS; bring health benefits to UK citizens; and consolidate the UK's position as the `go to' destination for international genomic research and investment.

    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: Software, Developer, Java, API, Python, Bioinformatics, Genomics, NGS, WGS, Git, Confluence, Jira, Bash, HPC, MongoDB, TDD, Unix, Linux, London

    DESCRIPTION

    Benaroya Research Institute at Virginia Mason is committed to winning the fight against autoimmune diseases such as type 1 diabetes, rheumatoid arthritis, inflammatory bowel disease and multiple sclerosis, and immune system diseases such as allergies and asthma. BRI is an internationally recognized medical research institute that accelerates discovery by tackling questions from every angle, translating immunology breakthroughs into clinical therapies and healthier patients. Our research is dedicated to predicting, preventing, halting, treating and ultimately eliminating these lifelong, chronic diseases.

    The Benaroya Research Institute currently has an opening for a Bioinformatician III position in the Systems Immunology Division. As a bioinformatician, you will have the chance to collaborate with other bioinformaticians and wet lab investigators to further autoimmune disease research through the analysis of RNA-seq, ATAC-seq, cytometry, clinical, and other data types. Members of our group work to extract biological signals from these data to answer fundamental questions related to immunology and immune-mediated diseases.

    A successful candidate will have a strong background in statistics and biology, and excellent communications skills. You will present your findings to investigators and other research staff, with the opportunity to co-author papers on novel findings. You will also participate in experimental design, statistical power analyses, and analysis plans for publications and grant proposals throughout the institute.

    Qualifications:
    Bioinformatician I
    • B.S. or M.S. and 0-3 years of related work experience or equivalent combination of education and/or experience in bioinformatics, statistics, or other science. A strong understanding of the principals of bioinformatics preferred.
    Bioinformatician II
    • M.S. or PhD in bioinformatics, statistics, or other science with a strong understanding of the principles of bioinformatics and 3 or more years of related experience. Or equivalent combination of education and/or experience in the above listed fields.
    Bioinformatician III
    • M.S. or PhD in bioinformatics, statistics, or other science with a strong understanding of the principles of bioinformatics and 6 or more years of related work experience.
    Requirements:
    • Experience in the application of statistics to biological data. Some experience with RNA-seq or cytometry data is preferred.
    • Understanding of the basic principles of molecular biology and genetics
    • Experience in working with a variety of data types
    • Comfort in collaborating with a team of technical and non-technical investigators
    • Proficiency in R or Python programming for statistical analysis
    • Ability to communicate results verbally and in writing to a non-technical audience

    HOW TO APPLY

    To apply for this position please visit www.benaroyaresearch.org/resources/careers.

    More information on BRI here: www.benaroyaresearch.org.

    More information on BRI bioinformatics here: www.benaroyaresearch.org/our-[...]tment

    POLICY

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.

    DESCRIPTION

    Postdoc and postgrad positions open in the Division of Human Genetics at Yale Department of Psychiatry. The primary research focus will be to investigate the predisposition to psychiatric disorders and behavioral traits using genome-wide data. Postdoc applicants must have, or be about to be awarded, a Ph.D. and/or M.D degree, ideally with less than 2 years of postdoctoral experience. Expertise in one of the following areas is required: genetic epidemiology, bioinformatics, statistics, or related fields. Postgrad candidates should have a BA or BSc with a major in biological sciences and some experience with computational biology or statistics.

    The successful candidate will work with Dr. Renato Polimanti, Assistant Professor at the Yale University School of Medicine, on projects funded by the Brain & Behavior Research Foundation, the American Foundation for Suicide Prevention, and the Simons Foundation Autism Research Initiative. Further studies of substance use disorders will be carried out in collaboration with the group of Dr. Joel Gelernter via genome-wide investigations of a deeply-phenotyped cohort including more than 14,000 subjects. Additionally, there will be the possibility to be involved in collaborative studies on data from large GWAS consortia, including the Psychiatric Genomics Consortium, the Army Study to Assess Risk and Resilience in Servicemembers, and the Million Veteran Project.

    LOCALE

    Division of Human Genetics
    Department of Psychiatry
    Yale University School of Medicine
    West Haven, CT
    United States

    HOW TO APPLY

    Please email your application including a cover letter, a detailed CV, and contact details of 3 referees to renato.polimanti[at]yale.edu.

    POLICY

    Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, race, color, religion, age, disability, status as a protected veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans.
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