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    BACKGROUND

    We are looking to hire a Bioinformatics scientist and a Post-doc fellow in Dr. Wang lab at the University of North Dakota. Dr. Wang has a strong publication record with more than 60 papers in high-impact journals, such as Nature Neuroscience, Nature communications, and Neurons. More information can be found on his Google Scholar (scholar.google.com/cita[...]hl=en) and the University website (und.edu/dire[...].wang).

    Potential research projects include the development of computational and bioinformatics methods and tools, or the analysis of large-scale omics data from complex diseases (e.g., Alzheimer's disease). The lab has generated a wealth of omics data, including whole-genome sequence data, transcriptomes (microarray and RNA-seq), epigenome, proteome, and metabolome from large human and mouse cohorts. The successful candidates will benefit from a wide collaboration with several domestic and international Consortia.

    RESPONSIBILITIES

    Relevant future research project areas for Fellows include the development of computational and bioinformatics methods and tools, integration of multi-OMICS data.

    The candidate shall work in Genetics, Bioinformatics, statistics, computer science, or a related field.

    REQUIREMENTS

    Prior expertise in omics technologies is not required. The candidate must demonstrate excellent experience in programming in languages such as R, Perl, or Python.

    COMPENSATION

    The successful candidate will be offered a competitive salary commensurate with experience and qualifications.

    HOW TO APPLY

    Please submit your CV to Dr. Xusheng Wang at xusheng.wang[at]und.edu.

    BACKGROUND

    The Department of Epidemiology Research at Statens Serum Institut in Copenhagen, Denmark, is looking for a highly motivated data scientist for data-heavy epidemiological research projects in an international and cross-disciplinary research environment encompassing medical doctors, statisticians, bioinformaticians, biologists and public health scientists. The position is initially for 4 years with the possibility for extension.

    About us:
    The Department of Epidemiology Research presently employs 45 people who carry out epidemiology research with a focus on heart diseases, cancer, infectious diseases, drugs, vaccines, nutrition as well as genetics. Our research is primarily based on data from Danish national registries and The Danish National Biobank. We work with large-scale high-dimensional data. Our goal is to produce research of the highest possible quality to guide and influence clinical medicine and public health.

    RESPONSIBILITIES

    The position:
    As our new data scientist colleague, you will become part of research teams working on epidemiological research projects of the highest international standards. This could be studies on who are at highest risk for severe COVID-19 disease, how effective the seasonal influenza vaccine is, or is it safe to use antidepressants during pregnancy. You will take on an essential role in helping us derive more information from our data sources in a timely manner. This will primarily involve supporting us with 1) data management, 2) streamlining our research workflows by developing software tools for data management and analysis, and 3) implementing machine learning models on health data.

    REQUIREMENTS

    Your education, experience and personal qualifications:
    You have an MSc in data science, computer science, statistics, bioinformatics or a related field and a keen interest in health research, programming and machine learning.

    We expect you to have:
    • A passion for all things data
    • Strong skills in Python and/or R
    • Experience with SQL
    • Experience with machine learning
    • Excellent writing and communication skills in Danish and/or English.
    In addition, we find it important that you enjoy working on several projects at a time and in a cross disciplinary setting with colleagues. The position is newly established in our department, and as such you will be involved in formulating the responsibilities, tasks and goals for the position. A PhD study focused on data science aspects of epidemiology research is a future possibility.

    TERMS

    The position is covered by the terms of the collective agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC-overenskomsten).

    The position is initially for 4 years with possibility for extension.

    HOW TO APPLY

    Click "apply" to send your job application. The application should include a cover letter describing why you are the ideal candidate for the position, your current CV and a copy of relevant diplomas. Please apply in English.

    Apply: candidate.hr-manager.net/Appl[...]aId=5

    Further information:
    Please contact Senior Scientist Anders Hviid at aii[at]ssi.dk, or Chief Statistician Jan Wohlfahrt at +45 3268 3952.

    Deadline
    TBD

    BACKGROUND

    Icahn School of Medicine at Mount Sinai Department of Genetics and Genomic Science and Columbia University in New York City invite applications for a senior research scientist position to perform computational biology/bioinformatics research on human healthy aging. This position is jointly sponsored by Drs. Tu (ISMMS) and Suh's groups (Columbia) to work on collaborative projects to use big-data and Artificial Intelligence approach to address unmet scientific questions in human healthy aging, longevity and age-related diseases. The two groups work closely on developing computational methods to best leverage the large-scale emerging biomedical data generated at Mount Sinai/Columbia and existed in the public domain and using state-of-the-art experimental approaches to validate and further investigate the mechanisms of the findings derived from computational inference. The ultimate goal is to better understand human aging and its link to age-related diseases and eventually find novel interventions to extend human healthspan. The position offers highly competitive compensation commensurate with experience and will also enable the candidate to continue to build his/her academic record for career development.

    RESPONSIBILITIES

    • Design and develop computational analytical pipelines to work on big genomic/genetic data to gain novel insights and derive testable hypothesis in the field of human aging, longevity and age-related diseases.
    • Drive and/or participate in the preparation of manuscripts, grants, and presentations.

    REQUIREMENTS

    • Ph.D. in computational biology, bioinformatics, computer science, math/statistics, or other related quantitative discipline
    • Ideal candidate should have 1-3 years postdoctoral training working on analyzing biological omics data.
    • Outstanding fresh Ph.D. will also be considered.
    • Team oriented with abilities to think creatively and work independently
    • Excellent written and verbal communication skills with good publication record
    • Fluent in at least one and be familiar with several programming/scripting languages such as R, Matlab, Python/Jupyter, Perl, Unix
    • Previous training in machine learning, statistical modeling, deep learning, and NGS genomic analysis is a big plus.
    • Some exposure to basic molecular biology and human genetics is a plus.

    PREFERENCES

    See requirements

    TERMS

    Permanent

    LOCALE

    New York City, NY

    COMPENSATION

    Highly competitive

    HOW TO APPLY

    Interested candidates should submit CV and names with contact information of three referees to Dr. Zhidong Tu (zhidong.tu@mssm dot edu).

    DEADLINE

    Open now till position filled

    POLICY

    Work remotely due to COVID-19 until further notice pending school policy. Need to be authorized to work in US.

    BACKGROUND

    We are looking for a highly-motivated scientist to join IDT's R&D group for a temporary internship position. In this position, the candidate will gain experience working with an Industry Bioinformatics Team, and they will support our NGS and CRISPR product development efforts. Bioinformatics projects span the areas of sophisticated data analysis, utility creation, and software application or pipeline development.

    RESPONSIBILITIES

    Essential Functions:
    • Analyzes and interprets scientific data
    • Communicates results with both the Bioinformatics and wet-bench scientific teams
    • Creates software utilities or tools using one or more programming languages
    • Attends meetings in person in Coralville, IA
    • Performs other duties as assigned

    REQUIREMENTS

    Education:
    • Associates degree in Biology, Chemistry, Computer Science, or related field required.
    • Bachelor's degree in Biology, Chemistry, Computer Science, or related field preferred.
    Professional Experience:
    • Prior job experience required
    Other Job Qualifications:
    • Strong background in biological systems, and/ or biochemistry
    • Ability to analyze data using publicly available and internally developed tools
    • Ability to run appropriate statistical analyses and report results
    • Bash, python, R, or related programming language
    • Write programmatic utilities to assist in data analysis
    • Ability to maintain both a high standard of courtesy and cooperation in dealing with co-workers
    • Ability to accept responsibility for the direction, control or planning of an activity
    • Adaptability to situations requiring the precise attainment of set limits, tolerances or standards
    Physical Requirements:
    • Exert up to 10 lbs. of force occasionally and/or up to a minimal amount frequently.

    TERMS

    Job Category: Intern
    Temporary, Part-Time (20 Hours/Week)
    July 2020 - December 2020
    Reports to: Sr. Staff Scientist
    Employment Status: Non-Exempt

    LOCALE

    Coralville, Iowa, United States of America

    HOW TO APPLY

    Apply Here: www.Click2apply.net/2yjsc8d3mgpzcntv

    Job ID: R1117527

    PI121082183

    BACKGROUND

    The Winter laboratory at CeMM, the Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, is recruiting a bioinformatician to develop novel strategies to target undruggable proteins for the treatment of cancer.

    RESPONSIBILITIES

    The Project: In this Project, we aim to determine the proteome-wide binding of hundreds of small-molecule fragments in an unbiased manner. Consequently, this strategy will enable us to approximate the "ligandable proteome" to guide the innovation of next-generation drugs that can re-program the cellular degradation machinery to eliminate disease-causing proteins. The successful applicant will work on this project as part of a multi-disciplinary research team consisting of biochemists, molecular biologists and synthetic chemists. This exciting collaboration is at the vibrant interface between academia and industry, allowing the candidate to achieve a measurable translational impact.

    REQUIREMENTS

    The Candidate: The successful candidate holds a PhD degree in (bio-) informatics or in life sciences. We are looking for a solution-oriented, persistent researcher with an independent, well-structured and goal-oriented working style. You should have a proven scientific track record (including at least one first author publication) in the fields of computational biology, ideally in (computational) proteomics. An analytical understanding, as well as a mechanistic understanding of workflows in affinity-chromatography are considered a plus. We expect the successful candidate to be proficient in statistics and standard proteomics software tools such as Proteome Discoverer or MaxQuant. Moreover, the successful candidate should be fluent in Python, R or a similar programming language.

    The working language at CeMM is English, and excellent written and oral communication skills as well as high accuracy, reliability and excellent interpersonal and organizational skills are a requirement.

    LOCALE

    The Institute: CeMM is a biomedical flagship institute in the heart of Europe, Vienna. We are committed to highest scientific standards and provide an international environment representing approximately 45 nationalities. The working language is English. CeMM has been ranked by The Scientist as one of the Best Places to Work Academia worldwide (link: goo.gl/51VMO). In the past 3 years CeMM groups published numerous ground-breaking studies in prestigious journals such as Science, Cell, Nature, New England Journal of Medicine, Nature Immunology, Immunity etc. CeMM is located within the medical campus of Vienna and operates several technology platforms (chemical biological screening, proteomics, metabolomics, next-generation sequencing) as well as extensive bioinformatics infrastructure.

    HOW TO APPLY

    Your Application: Interested candidates are encouraged to upload their application documents (including a cover letter, a CV and names and contact details of at least 2 referees) online: cemm.jobbase.io/job/kuf1qaen.

    DEADLINE

    Application deadline: 15 July 2020.

    Envisioned starting date: 1 September 2020.

    Applications will be reviewed on a rolling basis until the position is filled.

    BACKGROUND

    We are a leader in liquid biopsy. Every day we transform the lives of cancer patients and their families through the power of liquid biopsy. Our tests unlock essential genomic information from a simple blood test and allow clinicians to make more informed treatment decisions for their patients.

    We are dynamic and innovative, focused on the development of new ground-breaking technologies in a fast-paced and international setting. Our exceptional team of talented and driven individuals work together to combine their energy and expertise in world-class research, product development and commercialisation to bring new tests to the patients that need them.

    If making a difference is in your DNA and you are ready to join the liquid biopsy revolution, then you could be just the person we are looking for to join our team based in Cambridge, UK!

    RESPONSIBILITIES

    The R&D Computational Biology group are looking to recruit a highly motivated bioinformatician to develop the next generation of analysis methods to detect and monitor ctDNA. This role will interact closely with the assay development team on design of new products and improvement of existing assays. This position offers the exciting opportunity to work at the frontier of cancer diagnostics while participating in the entire product development pipeline from concept, clinical validation, to commercial product launch.

    This role will involve the understanding and application of statistical methodologies to genomic data sets for the analysis of NGS cancer genomics data, biomarker development, innovative algorithm design and optimisation of Inivata's technology. We expect that applicants will have prior experience in the field of bioinformatics or statistical genomics, involving a good understanding of NGS analysis with an MSc or PhD degree in a relevant field and/or industry experience.

    There is flexibility for the exact profile and experience of the applicant, provided that they can demonstrate qualities in the general area of computational biology and motivation to join a rapidly growing company in the field of cancer genomics.

    Key Responsibilities:
    • Contribute to the development of novel methodologies and algorithms for the analysis of circulating tumor DNA.
    • Develop and implement statistical algorithms for the analysis of genomic data sets, such as variant calling, background model estimation or scoring methods.
    • Analyze, summarize and interpret NGS data sets using existing and customized approaches.
    • Device new analytical solution in the context of assay development and clinical data analysis.
    • Develop production ready, regulatory compliant code in partnership with the software development team.
    • Support the rollout, optimisation and improve scalability of Inivata's analysis pipelines.

    REQUIREMENTS

    Education/Qualifications:
    • PhD in the field of computational biology/bioinformatics, or significant experience in that space
    Requirements:
    • Significant working experience in statistics and applying statistical techniques to biological problems (Essential)
    • Experience with next generation sequence data analysis (Essential)
    • Experience in novel algorithm development or data mining (Essential) and machine learning (Desired)
    • Scientific programming experience (proficiency in one or more among R, Python, C etc.) (Essential)
    • Experience with Unix environment, high-performance computing and common bioinformatics tools and resources (Desired)
    • Experience with cancer genomics or other genomics data (Desired)
    • Excellent communication and presentation skills and ability to effectively communicate ideas and results in a multi-disciplinary environment (Essential)
    • Prior development experience in a regulatory environment, familiarity with software management (version control) and quality assurance, such as ISO 13485, EN 62304, ISO 15189 (Desired)

    LOCALE

    Inivata Limited is based in Cambridge, UK.

    DEADLINE

    The closing date for applications is the 26th June 2020.

    HOW TO APPLY

    To Apply: cezanneondemand.intervieweb.it/iniv[...]6/en/

    Our TRANSFORM Values guide all our activities:
    Team, Results, Ambitious, Nimble, Solutions, Focused, Openness, Recognize, Make a difference

    BACKGROUND

    We are a leader in liquid biopsy. Every day we transform the lives of cancer patients and their families through the power of liquid biopsy. Our tests unlock essential genomic information from a simple blood test and allow clinicians to make more informed treatment decisions for their patients.

    We are dynamic and innovative, focused on the development of new ground-breaking technologies in a fast-paced and international setting. Our exceptional team of talented and driven individuals work together to combine their energy and expertise in world-class research, product development and commercialisation to bring new tests to the patients that need them.

    If making a difference is in your DNA and you are ready to join the liquid biopsy revolution, then you could be just the person we are looking for to join our team based in Cambridge, UK!

    RESPONSIBILITIES

    The R&D Computational Biology group are looking to recruit a highly motivated bioinformatician to develop the next generation of analysis methods to detect and monitor ctDNA. This role will interact closely with the assay development team on design of new products and improvement of existing assays. This position offers the exciting opportunity to work at the frontier of cancer diagnostics while participating in the entire product development pipeline from concept, clinical validation, to commercial product launch.

    This role will involve the analysis of NGS cancer genomics data, biomarker development, innovative algorithm design and optimisation of Inivata's technology. We expect that applicants will have prior experience in the field of bioinformatics and a good understanding of NGS analysis with an MSc or PhD degree in a relevant field and/or industry experience.

    There is flexibility for the exact profile and experience of the applicant, provided that they can demonstrate qualities in the general area of computational biology and motivation to join a rapidly growing company in the field of cancer genomics.

    Key Responsibilities:
    • Contribute to the development of novel methodologies and algorithms for the analysis of ctDNA.
    • Analyze, summarize and interpret NGS data sets using existing and customized approaches.
    • Device new analytical solution in the context of assay development and clinical data analysis.
    • Develop production ready, regulatory compliant code in partnership with the software development team.
    • Support the rollout, optimisation and improve scalability of Inivata's analysis pipelines.

    REQUIREMENTS

    Education/Qualifications:
    • PhD in the field of computational biology/bioinformatics, or significant experience in that space
    Requirements:
    • Experience with analytical development, pipeline creation and custom analysis for next generation sequencing data (Essential)
    • Scientific programming experience, using either R or Python (Essential)
    • Experience with Unix environment, high-performance computing and common bioinformatics tools and resources (Essential)
    • Experience in novel algorithm development or data mining (Essential)
    • Excellent communication and presentation skills and propensity to work in a multi-disciplinary environment (Essential)
    • Experience in designing and implementing tests (i.e. unit or system tests) and in testing frameworks (e.g., circleCI) for the development of production ready software (Desired)
    • Prior development experience in a regulatory environment, familiarity with software management (version control), design control procedures and quality assurance, such as ISO 13485, EN 62304, ISO 15189 or FDA/MolDX/CAP accreditation (Desired)
    • Experience with processing exome and/or whole genome datasets preferably within a cancer genomics context (Desired)
    • Demonstrated experience with the creation of software tools, software packages/modules or published Bioinformatics scripts/pipelines (Desired)

    LOCALE

    Inivata Limited is based in Cambridge, UK.

    HOW TO APPLY

    To Apply: cezanneondemand.intervieweb.it/iniv[...]8/en/

    DEADLINE

    The closing date for applications is: 26th June 2020.

    Our TRANSFORM Values guide all our activities:
    Team, Results, Ambitious, Nimble, Solutions, Focused, Openness, Recognize, Make a difference

    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. 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 will assist in the bioinformatic analysis of data from projects that form part of the Anglo-French Agreement Plan. This includes long read sequencing analysis, pipeline development, LIMS/sample tracking systems and other analyses as required.

    Key Accountabilities:
    • Supporting the activities of the Genomics England R&D team, with a particular focus on emerging long-read technologies
    • Pipeline/workflow development
    • Comparing tools and pipelines for long-read analysis
    • Operation of R&D workflows
    • LIMS/sample tracking system development
    • Performing computational analysis for a range of R&D projects

    REQUIREMENTS

    Key Requirements:
    • Experience of next generation or long-read sequencing data analysis
    • Strong coding skills (python preferred)
    • Experience implementing bioinformatic workflows
    • Experience with software development
    • Strong communication, organisation and teamworking skills
    • PhD in Bioinformatics, Computer Science or related discipline preferred (but not required if sufficient experience can be demonstrated).
    • Experience with long read sequencing
    • Experience with human genomics
    • Good statistical knowledge

    TERMS

    12-month Fixed Term

    COMPENSATION

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

    HOW TO APPLY

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

    Keywords: Bioinformatics, Genomics, Research, Long, Read, Nanopore, PacBio, NGS, Novel, Python, Analysis, Cancer, Disease, Pipelines, LIMS, Development, Cambridge

    BACKGROUND

    Can you help us build the data foundation for our cutting edge informatics platforms?

    If you are ready to kick start your career in the cross field of computer science and scientific research, we have just the right job for you. Based at DTU Biosustain in Lyngby, Copenhagen you will play a pivotal role building the data foundation needed for our development of state-of-the-art informatics platforms. By combining artificial intelligence, mechanistic modelling and knowledge graphs we are deriving deep insights from big data to address some of our world's greatest challenges. As such, you will contribute to future development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc. The job is a very good foundation for a future career with a development focus within e.g. AI or computational modeling.

    Generate, annotate, clean, and consolidate a variety of biotechnological data:
    As Bioinformatician your focus is to expand, clean, and annotate diverse data and information consolidated within various bioinformatics databases. By leveraging a multitude of software languages, tools, and platforms you will generate, annotate, clean, and consolidate a variety of biotechnological data. Accordingly, you develop metrics, reports, and dashboards that analytically describe the current state and growth of the consolidated data. You will create your results in collaboration with a highly skilled team of engineers, analysts, and scientists that cover a wide range of biological and IT domains.

    RESPONSIBILITIES

    Your primary tasks will be to:
    • Seek out publications and their archived omics data for various biological research topics
    • Build bioinformatics software pipelines to process omics data, perform quality control operations, and store data abiding by the FAIR principles
    • Maintain and update databases with curated annotations to ensure accuracy and accessibility
    • Download public databases, clean data and load it into a centralized graph database
    • Define and analyze metrics that inform on database size, dimensionality, and growth-rate
    • Prepare and present visualizations and analytical reports to multiple stakeholders on a periodic basis
    • Partner with analysts and scientists to process and integrate datasets that are identified as impactful to their research
    Derived from the tasks above you will develop an understanding and report on the landscape of available data possible for growth of database and analytics efforts. Accordingly, you will bring a deep understanding of growth & optimization best practices to your colleagues in growth-focused engineering teams. As many of those work in different countries you must be ready to participate in remote meetings and calls outside normal office hours.

    REQUIREMENTS

    Knowledge across software development and microbiology:
    As you will handle multiple data from various sources you will need a good overview backed by a similar good sense of detail. You must be able to present your results in an easy understandable and accessible way – in English, written and spoken. You must be motivated by building new knowledge across bioinformatics, biotechnology and biomedical research and by working with cloud storage solutions. Additionally, your CV comprises:
    • A university degree in Bioinformatics or similar, or equivalent practical experience
    • General knowledge of microbiology and genetics
    • Software development experience in one or more general-purpose programming languages, e.g. Java and/or Python
    • Experience working in Unix/Linux environments
    • Experience working with databases languages, e.g. SQL, Cypher, and/or SPARQL
    • Experience working with bioinformatics software and pipelines, e.g. GATK toolkit, breseq, bowtie or samtools
    • Experience with quantitative analysis and analytics software packages, e.g. FastQC, pandas, Matplotlib, ggplot or scikit-learn
    About DTU Biosustain:
    The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) is an interdisciplinary research centre that develops new knowledge and technology to support the production of bio-chemicals using microbial production with 300 employees. The center is organised with a number of Scientific Sections and Research Groups. In the Sections, researchers do basic research to determine the spectrum of chemistry that can be produced biologically. Groups have an applied / translational approach focusing on shortening the strain design and development process. Learn more at www.biosustain.dtu.dk.

    TERMS

    Salary and terms of employment:
    The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

    HOW TO APPLY & DEADLINE

    Application procedure and contact:
    Please submit your online application no later than 25 June 2020. Apply at www.career.dtu.dk – Open the "Apply online" link, fill out the form and attach your motivated application/cover letter, CV, diploma and if relevant list of publications.

    If you have any questions, you are very welcome to contact Chief Information Officer, Evelyn Travnik, at etravnik[at]biosustain.dtu.dk.

    All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

    ABOUT US

    DTU Biosustain is an international research center of excellence developing next-generation cell factories and bioprocesses for sustainable production of high-value chemical compounds as well as protein-based products. The center uses advanced metabolic engineering techniques and computational biology ensuring efficient and cost-effective design and construction processes.

    The center's activities are a balanced mix of basic and translational research, complemented by an emphasis on business development to facilitate commercialization of new cell factories and associated technologies. DTU Biosustain offers state-of-the-art research facilities and assembles world leaders in the field thus offering a unique platform providing excellent talent development and career opportunities.

    Technology for people:
    DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.

    BACKGROUND

    Computercraft seeks an enthusiastic scientist with research experience in computational biology, bioinformatics, and/or genomics with exceptional communication, writing, and teaching skills. The successful candidate will play a central role in organizing, managing, and conducting code-a-thon events sponsored by the National Center for Biotechnology Information (NCBI), part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH).

    RESPONSIBILITIES

    Principal responsibilities include:
    • Develop and deliver awesome, innovative, and cutting-edge code-a-thons in collaboration with NCBI scientific product teams and the NIH Office of Data Science.
    • Create and manage the NCBI schedule of code-a-thon events on topics such as genomics, bioinformatics, and data science.
    • Screen code-a-thon project proposals and participant applications, identify project team leads, and populate project-based teams for each event.
    • Network with community leaders to develop and publicize code-a-thon events and form ongoing collaborations.
    • Summarize and communicate code-a-thon success stories and lessons learned to NCBI, NLM, and NIH management.
    • Participate in and/or serve as a consultant for code-a-thons or similar events hosted by other NIH institutes, universities, or organizations.
    • Collaborate with NCBI/NLM staff to develop and deliver workshops and webinars on bioinformatics, cloud computing, and other data science topics.

    REQUIREMENTS

    A Ph.D. in a biomedical science and teaching experience are required, along with familiarity with UNIX/Linux, GitHub, and common scripting languages such as Python. Experience with cloud computing (AWS, GCP) and bioinformatics software is strongly preferred.

    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: computercraft-usa.com/careers/.

    DEADLINE

    None

    POLICY

    Computercraft is an equal opportunity employer.

    BACKGROUND

    The National Institute of Environmental Health Sciences (NIEHS) announces an exciting opportunity to shape the use of information technology for scientific exploration, discovery, and translation. We are seeking an outstanding leader who will fully harness advances in scientific computing and scientific information technology to support and strengthen our research programs.

    RESPONSIBILITIES

    The Division of Intramural Research is seeking an accomplished scientist in information technology to take on a leadership position as the NIEHS Scientific Information Officer (SIO). This individual will head the Office of Scientific Computing (OSC) and will lead a team that is directly focused on scientific information technology. Responsibilities include strategic planning and management, scientific and high-performance computing, training, and functioning as a liaison with other parts of the NIH, other federal agencies, and with other organizations. The successful candidate will work with scientific and technology leaders within NIEHS to establish and maintain an information technology infrastructure that supports a vast variety of biomedical computing priorities ensuring NIEHS remains a leader in applying technology for scientific collaboration and discovery.

    REQUIREMENTS

    The ideal candidate will have an advanced degree (Ph.D., M.D., or equivalent) with a record of accomplishment in information technology support to a scientific enterprise as well as application to basic and clinical research. The position, due to its cross-cutting nature, requires an individual who is highly collaborative, comfortable tackling information technology interests in a scientifically diverse environment, has strong oral and written communication skills, can build and manage a team, and who keeps abreast of the most current technological advances in support of both scientific and enterprise information technology strategy. Knowledge of the following areas is highly desired: academic and federal scientific culture, information technology solution development in the research and research administration space, government information technology security principles, clinical and basic research data management strategies, high-performance computing systems, scientific- and data-driven computational approaches, and content management systems. A suitable candidate may receive supporting resources and allocate up to 20% of their effort toward leading independent research. Salary is commensurate with experience and accomplishments. More detailed information about the NIEHS Division of Intramural Research may be found at www.niehs.nih.gov/rese[...]dir.

    LOCALE

    Research Triangle Park, NC

    HOW TO APPLY

    Applications for this position will be accepted from June 3, 2020 through July 2, 2020. Interested applicants should submit the following: cover letter highlighting key qualifications; current curriculum vitae with complete bibliography; names and addresses of three references; and a one-page summary stating the applicant's philosophy for supporting the information technology needs of a scientifically diverse community and accomplishments in supporting information technology and scientific computing in a dynamic research setting as ONE (1) combined PDF to Ms. Bonnie Earnhardt at int-appls[at]niehs.nih.gov. Please reference vacancy number AC1395 and your name in the subject line of your email submission. Please include in your CV a description of your mentoring and outreach activities, especially those involving women and racial/ethnic or other groups that are underrepresented in biomedical research. The selection committee will begin evaluating applications on July 6, 2020. Incomplete applications or paper applications will not be accepted. DO NOT INCLUDE YOUR BIRTH DATE, SOCIAL SECURITY NUMBER (SSN), OR PERSONAL PHOTOGRAPH ON APPLICATION MATERIALS.

    DEADLINE

    July 2, 2020

    POLICY

    Commitment to Diversity and Equal Employment Opportunity:
    The NIH NIEHS encourages the application and nomination of qualified women, minorities, and individuals with disabilities. The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. The NIEHS will provide reasonable accommodations to applicants with disabilities as appropriate. If you require reasonable accommodation during any part of the application and hiring process, please notify us.

    DO NOT INCLUDE YOUR BIRTH DATE, SOCIAL SECURITY NUMBER (SSN), OR PERSONAL PHOTOGRAPH ON APPLICATION MATERIALS.

    DHHS AND NIH ARE EQUAL OPPORTUNITY EMPLOYERS
    Opportunity: Postdoctoral scholar @ UCSF -- San Francisco, CA (US)
    Submitted by Aaron Diaz; posted on Tuesday, June 02, 2020

    DESCRIPTION

    A Postdoc position is available in the Diaz lab at UCSF (diazlab.ucsf.edu), funded by grants from the NIH and private foundations. As a member of the UCSF Brain Tumor Center (braintumorcenter.ucsf.edu) our mission is the development of therapeutics for brain cancer. Our core competencies include bioinformatics and systems biology.

    We have ongoing research efforts to study local immune-suppression in brain tumors by profiling clinical specimens using single-cell technologies. We are in the process of generating several hundred-thousand single-cell mRNA and ATAC libraries from several hundred human adult and pediatric brain tumors. Additionally, we are performing DNA sequencing, digital spatial profiling, and other emerging 'omics approaches. We are looking for both bioinformatics and wet-lab personnel. Applications from candidates with expertise in both domains are welcome.

    The duties of bioinformatics postdocs include bioinformatics analyses of single-cell and bulk 'omics data. The duties of wet-lab postdocs include cell and nuclei extraction from fresh and frozen tissues, preparation sequencing libraries, and various standard molecular assays. The minimum requirements for the position are: 1) a PhD in the biomedical sciences, bioinformatics or a related discipline; 2) for bioinformatics postdocs: experience with 'omics data analysis and strong programming skills in a relevant language (e.g. R, Python); for wet-lab postdocs: experience in standard cellular and molecular techniques; 3) multiple first-author papers in respectable journals; 4) fluency in English, and the interpersonal skills to negotiate professional interactions in a diverse environment; and 5) the willingness to work hard in the pursuit of shared goals.

    HOW TO APPLY

    Interested candidates should send an email to aaron.diaz[at]ucsf.edu, with the following:
    • CV
    • Cover letter, please indicate your preferred start date
    • Names and contacts of three references

    BACKGROUND

    Deep Genomics is a Toronto-based startup company that is building an AI-powered discovery and development platform to significantly expand the universe of medicines available for genetically-defined diseases. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry, and biology. Together we are on a mission to rapidly discover and develop oligonucleotide drugs for the treatment of patients with severe disorders of the liver, central nervous system, and eye.

    RESPONSIBILITIES

    We are seeking a highly motivated bioinformatician with solid programming and scripting skills. The successful candidate will take on tasks spanning variant annotation, genomics data processing, data visualization and experimental design. The ideal candidate has a good understanding of molecular biology, human genetics, and basic statistics.

    REQUIREMENTS

    • BSc in Computer Science, Bioinformatics or related fields
    • Understanding of basic concepts in molecular biology and human genetics
    • Solid knowledge of Python and Unix shell, some knowledge of R desirable.

    PREFERENCES

    • MSc or PhD in Computer Science, Bioinformatics or related fields
    • Experience with human genomics data (including next generation sequencing)
    • Familiarity with genetic variant annotation resources (e.g. RefSeq, Annovar, dbSNP, SIFT, UCSC genome browser and tables)

    TERMS

    What we offer:
    • A highly competitive salary and meaningful equity compensation
    • Exceptional opportunities for learning and growth
    • Leading role in developing the future of genomic analysis and therapy
    • A bright, collegial, highly-motivated team working at the intersection of the most exciting areas of science and technology

    LOCALE

    Toronto, Ontario

    HOW TO APPLY

    Please visit this link to apply: jobs.lever.co/deep[...]atics

    BACKGROUND

    The Bozdag Lab in the Department of Computer Science at Marquette University has an opening for a postdoctoral fellow to work on NIH-funded research in bioinformatics. Our lab is dedicated to developing integrative computational tools that leverage multi-omics biological and clinical datasets to infer disease-associated genes, regulatory interactions and patient-specific drug response. The successful candidate will join a multidisciplinary team to work on cutting-edge research projects to apply data mining/machine learning approaches on high dimensional biological and clinical datasets.

    RESPONSIBILITIES

    • Conduct all aspects of research projects under the mentorship of the Principal Investigator (e.g., data collection, preprocessing, analysis, software development, testing, evaluation, benchmarking, etc.).
    • Write manuscripts for publication.
    • Contribute to the drafting of grant proposals.
    • Present research progress at lab meetings and the individual meetings with the PI.
    • Attend conference for oral and poster presentations of research projects.
    • Contribute to mentoring and training of graduate and undergraduate students in the lab.

    REQUIREMENTS

    • Ph.D. in Computer Science, Bioinformatics, Biostatistics, or related field with a strong research background in machine learning, statistics, genomics, or a closely related field

    PREFERENCES

    • Strong first-author publication track-record in bioinformatics
    • Experience analyzing high dimensional biological datasets, particularly next-generation sequencing data
    • Demonstrated experience with the application of supervised and unsupervised machine learning methods to biological datasets
    • Proficiency in software development skills, including programming skills in R and/or Python, expertise with documentation, version control, and code releases
    • Expertise in Linux and high-performance computing environments
    • Strong communication and scientific writing skills
    • Ability to learn quickly and apply new analytic techniques

    TERMS

    The initial appointment is one year with the possibility of renewal based on performance.

    HOW TO APPLY

    Apply at employment.marquette.edu/postings/12852. Provide a CV, a cover letter highlighting research interests and expertise, and the names and contact information for three references.

    DEADLINE

    Review of Applications will begin immediately and continue until the position is filled.

    BACKGROUND

    The George A. Smathers Libraries at the University of Florida (UF) seeks a creative and service-oriented Bioinformationist to enhance the Health Science Center Library's (HSCL) existing bioinformatics and data support program, and to provide consultations, instruction, and outreach for selected basic sciences departments and graduate programs in the Health Science Center (HSC). In this year-round (12 month) tenure-track faculty position, the Bioinformationist develops and teaches courses and workshops and provides individual and group consultations related to bioinformatics, data science, and reproducible research methods. As a member of the Health Science Center Library team, the Bioinformationist provides information services in a variety of modes (in person, email, house calls), performs course-integrated instruction, and participates in the department's teaching program. The position is responsible for special projects as assigned, including new service development and current service evaluation. The Bioinformationist is also a member of the Academic Research Consulting & Services team (ARCS), an interdisciplinary, cross-libraries partnership. The Bioinformationist works collaboratively with members of HSCL, ARCS, and clients, and will be responsive to campus bioinformatics support needs that arise.

    The Smathers Libraries encourage staff participation in reaching management decisions and consequently the Bioinformationist will serve on various committees and teams. To support all students, faculty, and staff and foster excellence in a diverse and collaborative society, the Libraries are actively seeking candidates who bring culturally-rich lived experiences to work with individuals of diverse backgrounds, experiences, races, ethnicities, genders, gender identities, sexual orientation, and perspectives. The Smathers Libraries recently created a new strategic direction focused on ensuring that the Libraries are a safe, supportive and welcoming learning environment for all users and on focusing engagement efforts to diverse populations within the University and local community. The Bioinformationist will pursue professional development opportunities, including research, publication, and professional service activities in order to meet library-wide criteria for tenure and promotion.

    RESPONSIBILITIES

    • Develops the bioinformatics support program based on an understanding of client need and with the commitment to develop this program into a national leader in library-based bioinformatics support services.
    • Develops and provides bioinformatics resource instruction and training, consultation, and other bioinformatics-related services and is responsive to campus bioinformatics support needs that arise.
    • Provides expertise on a range of bioinformatics databases and tools such as those offered by the National Center for Biotechnology Information (NCBI).
    • Provides liaison services to the faculty, post-docs, students, and staff in assigned basic biomedical sciences departments and academic programs in the HSC. Liaison services include instruction, consultation, collection development, and other client-centered services as identified.
    • Participates as an active member of library-based teams and programs such as Academic Research Consulting & Services (ARCS) (arcs.uflib.ufl.edu), which includes specialists in data management, informatics, and reproducible research.
    • Applies for grants in support of bioinformatics initiatives and provides support to grant writers in assigned academic units and programs.
    • Connects with related units across campus to provide services and resources.
    • Builds a bioinformatics seminar series through collaborative efforts.
    • Participates in planning, policy formation, and departmental decision-making related to services, resources, and new technologies.
    • Performs scholarly research and provides service at the institutional and professional levels as related to assignment and in accordance with tenure and promotion criteria.

    REQUIREMENTS

    • Masters degree or above in relevant biomedical or data sciences field (for example, bioinformatics, biology, genetics, molecular biology, biochemistry)
    • For appointment at the Associate University Librarian rank, eight years of relevant experience
    • Experience using bioinformatics resources, such as those available from the National Center for Biotechnology Information (NCBI) or commercial vendors
    • Knowledge of research design and scientific statistical methodologies
    • Record of creating and maintaining strong collaborations within a culturally diverse user community of faculty, students, staff, administrators, or the general public.
    • Knowledge and experience in adult learning through teaching, training, and/or instruction
    • Excellent communication skills including effective presentation skills
    • Strong analytical and organizational skills
    • Commitment to including individuals of diverse backgrounds, experiences, races, ethnicities, gender identities, sexual orientation, and perspectives in research, teaching, service and other work
    • Strong potential for meeting the requirements of tenure and promotion (outlined at www.uflib.ufl.edu/pers/cdh)

    PREFERENCES

    • Experience and strong interest in grant writing
    • Experience working in a library with preference for health or biological science client population
    • Experience performing laboratory research
    • PhD in a relevant biomedical science or data science field
    • Knowledge of or proficiency in computer languages and tools used in data analysis (e.g., R, Python, C++, Unix)
    • Experience using research-related literature databases such as PubMed

    LOCALE

    University of Florida Libraries
    Gainesville, Florida

    COMPENSATION

    Minimum Salary as Assistant University Librarian: $55,657
    Minimum Salary as Associate University Librarian: $64,374

    Actual salary will reflect selected professional's experience and credentials.

    HOW TO APPLY

    Submit:
    • A cover letter detailing your interest in and qualifications for this position
    • A written statement discussing the rationale for providing bioinformatics support in the library, and your first steps in developing a library-based bioinformatics support service (250 words)
    • Your current resume or CV
    • A list of three references including their contact information (telephone number and email address)
    Apply by June 15, 2020 (applications will be reviewed as received). Submit all application materials through the Jobs at UF online application system at Requisition 51809 (apply.interfolio.com/67588). Failure to submit the required documents may result in the application not being considered. If you have any questions or concerns about this process please contact Bonnie Smith, George A. Smathers Libraries Human Resources Office, at bonniesmith[at]ufl.edu.

    DEADLINE

    June 15, 2020 – applications will be reviewed as received

    POLICY

    The University of Florida is an Affirmative Action, Equal Opportunity Employer and encourages applications from women and minority group members. We are dedicated to the goal of building a culturally diverse and pluralistic environment; we strongly encourage applications from women, members of underrepresented groups, individuals with disabilities, and veterans.
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