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    BACKGROUND

    GDIT is seeking a Biostatistician in support of the Department of Research Programs (DRP) at the Walter Reed National Military Medical Center (WRNMMC). The mission of the DRP is to provide world-class support for research and development, protocol review, and project oversight for military and civilian staff. The Biostatistician assists in the development of research protocols and study design to ensure scientific merit and statistical validity, conducts statistical analysis of clinical research data, and provides outreach and guidance to investigators.

    RESPONSIBILITIES

    The Biostatistician shall:
    • Ensure the scientific merit and statistical validity of research protocols.
    • Review protocols and grant applications to optimize study design, enhance competitiveness of submissions, and ensure validity of research results.
    • Provide statistical consultations to researchers.
    • Foster growth and expertise to improve the quality of research design the integrity of data collection, and the accuracy of the results in presentations and publications.
    • Support up to date institutional policies for research review and approval, research execution, and publications clearance to comply with local, federal and DoD regulations.
    • Solve technical problems arising within the mission scope, analyze data from audits and protocols; prepare reports; communicate results with suggested corrective actions to the research team; communicate findings to research review boards, department heads, and regulatory offices.
    • Recommend statistical methods based on a wide variety of possible approaches; research compliance issues; originate approaches, methods, and procedures to plan and carry out assignments, contribute to SOPs guiding investigators and review boards.

    REQUIREMENTS

    • BA/BS
    • Advanced degree preferred but not required
    • 2+ years of experience
    • Experience using R for biostatistical analysis required
    • Previous experience supporting protocol-driven clinical research (including experimental design and data analysis) required
    • Candidate should have a proven ability to understand medical literature/terminology.

    LOCALE

    Bethesda, MD, USA

    HOW TO APPLY

    Please visit careers-gdit.icims.com/jobs[...]=-240

    BACKGROUND

    GDIT is seeking a Bioinformatics Developer to support our NIH client. In this role you will be a change agent by developing tools for genomic data analysis and visualization, clinical trial management and encode complex biochemical models.

    RESPONSIBILITIES

    • Provide bioinformatics support, data quality assurance, and curation activities.
    • Solve complex problems in a broad range of research topics.
    • Computational analysis, integration, and modeling of diverse data sets.
    • Develop scientific software and computational infrastructure.
    • Write custom scripts and develop programs in shell, Perl, Python, PHP, R, Java, etc.

    REQUIREMENTS

    • PhD degree and eight years experience in bioinformatics, computer science, mathematics, engineering, or related fields
    • Minimum of three years research experience in bioinformatics, especially in the areas of NGS data analysis and visualization
    • Sound knowledge of statistics and quantitative modeling
    • Experience with computational and systems biology
    • Experience with clinical trial management
    • Experience with NextGen sequencing studies coordinated with clinical trials
    • Hands-on experience with NCI BRB (National Cancer Institute Biometric Research Branch) tools and GenMed
    • Solid computer programming skills with proficiency in Java, R, S-Plus or Matlab
    • JavaScript and at least one scripting language (Perl/Python/PHP)
    • Experience with SBML (Systems Biology Markup Language)

    PREFERENCES

    • Experience with Web development in Linux environment
    • Experience with relational databases like Postgres, MySQL, etc.
    • Deep understanding of and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation and visualization
    • Experience in data science, machine learning, and predictive analytics
    • Provide bioinformatics support, data quality assurance, and curation activities
    • Solve complex problems in a broad range of research topics
    • Computational analysis, integration, and modeling of diverse data sets
    • Develop scientific software and computational infrastructure
    • Write custom scripts and develop programs in shell, Perl, Python, PHP, R, Java, etc.

    LOCALE

    Rockville, MD

    HOW TO APPLY

    Please visit csra.wd5.myworkdayjobs.com/Exte[...]674-1

    DEADLINE

    Monday, October 21, 2019

    BACKGROUND

    The Department of Genetics, Cell Biology and Anatomy at the University of Nebraska Medical Center is seeking a POSTDOCTORAL RESEARCH ASSOCIATE to pursue exciting research in Bioinformatics and Computational Systems Biology.. For more information, see www.unmc.edu/genetics

    RESPONSIBILITIES

    The incumbent will develop novel computational tools and data analysis pipelines to analyze multi-omics data, write manuscripts and assist in grant writing. Related research projects in Dr. Babu Guda's computational biology laboratory include development of novel tools related to cancer genomics, metagenomics of human microbiomes, detection of fusion genes and single-cell transcriptome analysis. For more information, see www.unmc.edu/gudalab

    REQUIREMENTS

    Ph.D. in Bioinformatics, Computer Science or in a related field with strong and relevant publication record. Programming in Perl or Python, C/C++ or Java, and R; and bioinformatics data analysis experience using tools and databases related to DNA, RNA and Proteins, biological pathways, etc.

    PREFERENCES

    Working knowledge of Linux-based systems, scheduling jobs on compute clusters, and using relational databases is preferred. Prior post-doctoral training in life sciences would be preferred.

    TERMS

    Full-time

    LOCALE

    Omaha, Nebraska, USA

    COMPENSATION

    $47,680 - $50,000/year commensurate with experience

    HOW TO APPLY

    Please send your CV and a cover letter to Dr. Babu Guda (babu.guda[at]unmc.edu).

    DEADLINE

    Applications accepted until the position is filled.

    POLICY

    EEO/AA. Individuals from diverse backgrounds are encouraged to apply.

    BACKGROUND

    Developing innovative therapies is one of the most challenging, most essential and personally rewarding fields in science. This is the most exciting time to be a part of Astellas, a company with a uniquely collaborative and patient-focused culture.

    There's something special about working at Astellas. It's reflected in our focus on the people we serve, the way we treat each other and the results we achieve together as a company.

    Astellas is announcing an Sr. Scientist, Bioinformatics opportunity at our Astellas Research Institute of America site in San Diego, CA.

    Purpose:
    We are seeking a highly motivated and talented bioinformatician to join our R&D team and contribute to development of therapies for psychiatric and neurological disorders. The successful candidate will have a track record of success in a collaborative research environment with a strong scientific background in biology and analysis of human genetic variation and RNAseq data.

    RESPONSIBILITIES

    Essential:
    • Apply and lead computational algorithms, software tools and data mining techniques for bioinformatics analysis of NGS data.
    • Refine existing analysis pipelines/tools and implement new strategies/resources for analysis and visualizations to address changing project needs.
    • Provide guidance to non-computational R&D scientists seeking to independently use established bioinformatics resources.
    • Independently interpret results, prepare presentations and reports for technical and non-technical audiences.
    • Assist with infrastructure support for data collection, storage and analysis.
    • Experience in application of statistical methods to the analysis of large-scale genetic/genomics data
    • A firm grounding in statistical and computational methods relevant to the analysis of NGS data

    REQUIREMENTS

    • PhD or MS with degree in in bioinformatics, computational biology, computer science or other relevant discipline; MS with 8+ years; BS with 12+ years of applicable experience. Title commensurate with experience.
    • Strong scientific background in biology and NGS
    • Hands-on experience with NGS data analysis with expertise in differential expression, eQTL analysis and single cell processing
    • Proficiency with a variety of programming languages for statistical computing and generation of graphics
    • Fluency in at least one scripting language (e.g. Python)
    • Excellent communication and interpersonal skills and ability to effectively collaborate with other teams
    • Excellent work planning, organization and record keeping is essential.

    PREFERENCES

    • Experience with AWS or other cloud vendors
    • Conceptual understanding of nucleic acid/protein isolation, RT-PCR and other standard molecular biology techniques

    TERMS

    Type: Full-time
    Category: Research and Development

    LOCALE

    San Diego, CA, USA

    HOW TO APPLY

    Apply Here: www.candidatecare.com/srcc[...]=true

    #LI-JA1

    POLICY

    Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled

    BACKGROUND

    The UCSD Department of Cellular and Molecular Medicine (CMM) is one of two basic science units in the School of Medicine where world-class researchers study fundamental cellular processes and pathways using a variety of techniques from classical genetics and fluorescence microscopy to high-throughput genomics, systems biology, and crystallography.

    Our 36 faculty and over 200 postdoctoral scholars, graduate students, and research staff work on the cutting edge of biology, cutting across fields from basic biochemistry and genetics to genomics, systems biology and stem cell biology. The faculty also play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines and provide diversity to meet the interests of a broad spectrum of students and scholars.

    RESPONSIBILITIES

    The Senior Genomics Bioinformatics Programmer is responsible for the implementation and overall supervision of bioinformatics analyses pipelines necessary for interpretation of assays that are based on massively parallel sequencing technologies. In this capacity, the Senior Genomics Bioinformatics Programmer will interact with teams of experimental and computational scientists and trainees who work together to design, execute and analyze complex experiments investigating transcriptional mechanisms that control immune cell development and function. Current assays include RNA-seq, single cell RNA-seq, ChIP-Seq, ATAC-Seq, and three-dimensional chromatin conformation capture assays.

    The incumbent will maintain and update 'best practice' computational methods and provide training and oversight to members of the laboratory in the application of assay-specific bioinformatics tools. The Senior Genomics Bioinformatics Programmer will interface with technical support at the San Diego Super Computer Center to maintain laboratory-specific computational infrastructure necessary for data storage and analysis. As necessary, will generate new software tools and/or provide direction to trainees to develop such tools for problems lacking appropriate analytical methods.

    Additionally, they will be involved in writing primary research publications and grant applications and will be encouraged to attend and contribute to scientific meetings on related topics.

    REQUIREMENTS

    Minimum Qualifications:
    • Bachelor's Degree in biological science, computational/programming, or related area and/or equivalent experience/training.
    • A minimum of five (5+) or more years of relevant experience.
    • Advance knowledge of bioinformatics methods, applications programming, web development and data structures. Experience with programming languages, including Python and R. Demonstrated experience using UNIX/Linux.
    • In-depth knowledge of bioinformatics programming design, modification and implementation. Experience in development of complex bioinformatic, knowledge-based application software.
    • Demonstrated ability to analyze scientific technical information.
    • In-depth knowledge of web, application and data security concepts and methods.
    • Advanced understanding of relational databases, web interfaces and operating systems. Ability to download high-throughput data sets, troubleshoot sequencing data, conduct standard statistical analysis and data visualization.
    • In-depth knowledge of modern biology and applicable field of research. Working knowledge of biological systems including transcription, genetics, and epigenetics.
    • Strong project management skills. Ability to organize, prioritize and manage multiple project activities effectively and deal with changing priorities.
    • Proven ability to receive input and integrate ideas from colleagues to develop computational solutions that meet the needs of the laboratory.
    • Ability to communicate technical information in a clear and concise manner. Strong ability to communicate and teach complex concepts to scientists from various fields. Excellent communication skills for oral presentations, written reports, and one-on-one training.
    • Advanced ability to interface with management on a regular basis. Proven ability to communicate and deal effectively and productively with people at all levels of responsibility in various functional areas.
    • Demonstrated ability to lead a team, meet deadlines and demonstrate advanced problem solving skills.
    • Ability to work independently, as well as part of a team, establishing and maintaining good working relationships with P.I., supervisor, postdoctoral scholars, and other members of the research group.
    Special Conditions:
    • Employment is subject to a criminal background check.
    • Occasional evenings and weekends may be required.

    PREFERENCES

    Preferred Qualifications:
    • Ph.D Degree or equivalent experience/training in bioinformatics, computer science or related field with programming and server experience; or related combination of education and experience.
    • Demonstrated experience with Perl, C#, C++, or Java.
    • Experience with bioinformatics and metagenomics software and resources for analyzing high-throughput sequencing datasets.

    COMPENSATION

    Salary Range: Commensurate with Experience

    ABOUT US

    UC San Diego Health is the only academic health system in the San Diego region, providing leading-edge care in patient care, biomedical research, education, and community service. Our facilities include two university hospitals, a National Cancer Institute-designated Comprehensive Cancer Center, Shiley Eye Institute, Sulpizio Cardiovascular Center, and several outpatient clinics. UC San Diego Medical Center in Hillcrest is a designated Level I Trauma Center and has the only Burn Center in the county. We invite you to join our dynamic team!

    HOW TO APPLY

    Apply online: 50.73.55.13/coun[...]71313

    Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.

    DEADLINE

    Open Until Filled

    POLICY

    UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: www-hr.ucsd.edu/saa/nondiscr.html

    DESCRIPTION

    The Department of Biochemistry and Molecular Biology at The Pennsylvania State University College of Medicine invites applications from outstanding scientists for a full-time tenure-track position. We seek candidates at the Assistant Professor level who have an active highly competitive independent research program or who show a strong potential to develop such a program, particularly in the area of bioinformatics and genomics. Qualifications include a PhD or equivalent degree in the area of bioinformatics, especially with respect to high-throughput data extraction, analysis and modeling, and computational biology, with expertise in development of tools and algorithms for interrogating and exploiting large datasets. For additional information, please visit the following websites: med.psu.edu/biochemistry and research.med.psu.edu/depa[...]cine/. Applicants should submit a curriculum vitae and a brief statement of research plans, and arrange for three letters of reference to be sent to Faculty Search Committee, biochem_apply[at]psu.edu or to Department of Biochemistry and Molecular Biology H171, The Pennsylvania State University College of Medicine, Hershey PA 17033.

    HOW TO APPLY

    Apply online at apptrkr.com/1628871

    POLICY

    Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

    Campus security crime statistics: For more about safety at Penn State, and to review the Annual Security Report which contains information about crime statistics and other safety and security matters, please go to www.police.psu.edu/clery/, which will also provide you with detail on how to request a hard copy of the Annual Security Report.

    Copyright ©2017 Jobelephant.com Inc. All rights reserved.

    www.jobelephant.com

    jeid-fd30fbd4dd754e44a530b9833ae0eb2c

    BACKGROUND

    The Jess and Mildred Fisher College of Science and Mathematics invites applications for a tenure-track, 10-month Assistant Professor position in bioinformatics or biostatistics in the Department of Biological Sciences beginning Fall 2020.

    RESPONSIBILITIES

    Teaching load is usually 9 contact hours per semester which typically consists of 1-2 classes per semester. Teaching responsibilities may include courses in bioinformatics, quantitative analysis, and a graduate-level course in the area of specialty. The candidate is expected to work in a collaborative environment with other faculty to complement existing research in the department while also developing a research program that involves undergraduate and graduate students.

    REQUIREMENTS

    A Ph.D. in a relevant field of Biology is required and postdoctoral experience is preferred. Candidates should have a strong foundation in statistical analysis.

    TERMS

    10-month, tenure track

    LOCALE

    Towson University, Baltimore, MD 21252

    HOW TO APPLY

    Please visit www.towson.edu/prov[...].html

    DEADLINE

    Application submission will be continuous until the position has been filled.

    BACKGROUND

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

    Summary:
    The postdoctoral fellow position is for early career scientist trainees to receive a rigorous scientific training at Regeneron under the auspices of a scientist mentor for up to four years. Fellows will be expected to conduct creative exploratory research that results in publications.

    The program will consist of:
    • Up to four years of formal postdoctoral training in a program co-Directed by award-winning and published educators, both of whom are working scientists at Regeneron devoted to training postdoctoral fellows
    • Exposure to the biotechnology industry's most successful and innovative scientists
    • Opportunities to pursue cutting-edge, creative biomedical research in a prestigious, well- resourced, and highly driven industry environment
    • Weekly postdoctoral scientist meetings to foster scientific rigor, creative thinking, critical reasoning, and career advancement
    • Encouragement of scholarly productivity such as publications and conference presentations

    RESPONSIBILITIES

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

    REQUIREMENTS

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

    HOW TO APPLY

    Apply online at careers.regeneron.com, search req# 17886BR.

    Applications Accepted: October 1, 2019 – December 1, 2019

    Letters of recommendation are required. (Please find additional details in online application)
    • You are required to submit at least two letters of recommendation to Postdoctoral[at]regeneron.com, no later than December 1, 2019.
    Applications received after December 1, 2019 may not be considered.

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

    Targeted Start Date: Summer 2020

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

    This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron's unwavering commitment to combining good science & good business.

    Submitter

    BACKGROUND

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

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

    The post holder is an experienced Python developer 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.

    RESPONSIBILITIES

    Key Accountabilities:
    • Develops services, databases and web applications for:
      • Interpreting genomes
      • Tracking and distributing interpretation requests
      • Generating knowledge bases from the interpretation outcomes
    • 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

    Key Requirements:
    • Experience in designing and developing APIs and overall developing systems in a Service Oriented Architecture (essential)
    • Work experience with Django framework (essential)
    • Degree in computer science or software engineering (or equivalent experience)
    • Proficiency in collaborative development tools such as GitHub, Confluence and JIRA
    • Proficiency in JavaScript, Python and ideally Java
    • Comfortable using high performance computing clusters (desirable)
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands
    • Ability to communicate effectively within a multidisciplinary team
    • Flexible and co-operative approach to colleagues
    • Excellent 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)
    • Experience in cloud computing (desirable)

    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: Python, Developer, Engineer, API, Restful, Java, JavaScript, HPC, Github, Jira, Confluence, Django, SOA, NGS, Bioinformatics, Genomics, HPC, Clusters, Web, London

    Submitter

    BACKGROUND

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

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

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

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

    RESPONSIBILITIES

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

    REQUIREMENTS

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

    COMPENSATION

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

    HOW TO APPLY

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

    Keywords: Rare, Disease, Analyst, Cancer, WGS, WES, Genomics, Bioinformatics, Pipelines, Statistics, Testing, Writing, Variants, Alignment, Statistical, Genetics, NGS, London
    Opportunity: Automation Engineer @ AbSci -- Vancouver, WA (US)
    Submitted by Sandie Peters; posted on Tuesday, October 01, 2019

    BACKGROUND

    AbSci is a venture-backed biotechnology company located in a new, state-of-the art laboratory in downtown Vancouver, WA, just across the river from Portland, OR. AbSci is a global leader in recombinant protein expression, with a synthetic biology technology platform enabling dramatic reductions in manufacturing costs in the biopharmaceutical industry. AbSci's technology supports production of both classical and novel biologics, acceleration of drug discovery timelines, and increased efficiency and flexibility throughout the manufacturing process.

    Job Summary:
    The automation engineer will lead systems automation of lab instrumentation at AbSci, and reports to the Director of Scientific Computing and Bioinformatics. The candidate will work closely with scientific staff to identify needs and establish metrics for operational quality. The role will also be responsible for integrating instrument data with the LIMS and other in-house systems. This position reports to the Director of Scientific Computing and Bioinformatics. The work is highly interdisciplinary and will involve working closely with the internal bioinformatics team, instrument vendors, and staff scientists. The successful candidate will have professional automation experience in a biotech/life science industry.

    RESPONSIBILITIES

    • Identify, design, and implement automation strategy and infrastructure to support high throughput workflows.
    • Develop automated workflows for DNA and strain construction, fermentation, protein purification, and analytical chemistry applications.
    • Develop software to drive operation of lab instrumentation and robotic systems.
    • Provide technical leadership and drive best practices for software development, code review, testing, and deployment.

    REQUIREMENTS

    • BS or MS in biology or engineering
    • 2+ years experience with lab automation and scientific workflows
    • Experience developing and optimizing automated laboratory workflows to operate high-throughput protocols using liquid-handling robots.
    • Professional software development experience with Java/C#, Python, and JavaScript preferred
    • Experience with Django 2.0, Angular2+, REST, Docker, PostgresSQL, AWS, Linux/Unix systems and bash scripting preferred
    • Excellent interpersonal, verbal and written communication skills
    • Passion for building a creative company culture that is collaborative, multidisciplinary, and determined to make a transformative impact to our industry

    COMPENSATION

    AbSci offers highly competitive salaries and benefits, including medical and dental insurance, paid time off, and 401(k) with a generous company match.

    HOW TO APPLY

    To apply for this job please use the link provided below.

    absci.bamboohr.com/jobs
    Opportunity: Bioinformatics Developer @ AbSci -- Vancouver, WA (US)
    Submitted by Sandie Peters; posted on Tuesday, October 01, 2019

    BACKGROUND

    AbSci is a venture-backed biotechnology company located in a new, state-of-the art laboratory in downtown Vancouver, WA, just across the river from Portland, OR. AbSci is a global leader in recombinant protein expression, with a synthetic biology technology platform enabling dramatic reductions in manufacturing costs in the biopharmaceutical industry. AbSci's technology supports production of both classical and novel biologics, acceleration of drug discovery timelines, and increased efficiency and flexibility throughout the manufacturing process.

    Job Summary:
    The bioinformatics developer will work closely with research scientists to deliver bioinformatic solutions in support of critical business needs, and reports to the Director of Scientific Computing and Bioinformatics. The candidate will be developing professional quality software to support high-throughput screening efforts that integrate with a LIMS, designing bioinformatic tools and algorithms to identify metagenomic biomanufacturing solutions, mining curated data sets to inform strain engineering strategies, and building NGS data analysis pipelines. The successful candidate will have professional software experience in a biotech/life science industry.

    RESPONSIBILITIES

    • Work collaboratively with bench scientists to translate their needs into bioinformatic tools and solutions.
    • Develop and implement bioinformatics analyses, applications, and workflows to expand AbSci's bioinformatics and analysis platform.
    • Provide data analysis and visualizations to support scientific research.
    • Develop machine learning techniques to mine complex cellular network data.

    REQUIREMENTS

    • 5+ years' experience developing bioinformatic solutions and familiarity with NGS sequence analysis, assembly algorithms, and phylogenetic tools
    • Masters or PhD degree in Genetics, Bioinformatics, Computer Science or a related discipline
    • Experience with genome sequence assembly, use of structural and functional annotation of genomes, and metagenomics
    • Professional software development experience using Python, Java, Perl, and JavaScript
    • Experience with Django 2.0, Angular2+, REST, Docker, Postgres, Galaxy, AWS, Linux/Unix systems and bash scripting
    • Excellent interpersonal, verbal and written communication skills
    • Passion for building a creative company culture that is collaborative, multidisciplinary, and determined to make a transformative impact to our industry

    COMPENSATION

    AbSci offers highly competitive salaries and benefits, including medical and dental insurance, paid time off, and 401(k) with a generous company match.

    HOW TO APPLY

    To apply for this job please use the link provided below.

    absci.bamboohr.com/jobs

    Submitter

    BACKGROUND

    I'm working with a clinical-stage BioPharma based in Cambridge who are developing a novel class of medicines for diseases that are underserved by existing therapeutics. They are a rapidly growing organisation with a solid pipeline of clinical projects, with UK and US offices.

    This particular role is ideal for a highly skilled informatician and data manager with experience in Electronic Laboratory Notebook Systems (ideally Dotmatics) who wants to work in an environment supporting both UK and US teams, interacting with an established and expanding drug discovery team working across a variety of disease areas.

    The successful candidate will enjoy a varied and rewarding role overseeing and optimizing data capture, processing and management of both biological and chemical data via ELN's and other systems. The successful candidate will also be expected to help develop and optimise the organisation's other informatics systems as well as integrating automation and optimising work and data flow.

    This is an ideal role for a highly motivated, self-starting and ambitious candidate with a good working knowledge of informatics and data management. The role involves a high degree of hands on database customisation and the candidate must be able to perform consistently at the highest level. Recent practical experience in and detailed technical knowledge of ELNs, or Dotmatics in particular, is essential as well as a demonstrable working knowledge of drug discovery and related disciplines e.g. chemistry and biology.

    RESPONSIBILITIES

    Key Responsibilities:
    • Lead the optimisation of Dotmatics ELN to ensure efficient data entry, analysis and archiving.
    • Liaise with phage, assay and chemistry team to understand needs and bottleneck
    • and implement solutions
    • Liaise with Dotmatics to ensure smooth and efficient system capability upgrades
    • Work with Laboratory teams to ensure effective data capture and entry
    • Work with phage team to optimise BioMatters interface
    • Lead integration of additional databases and systems to ensure effective storage and recovery of company data
    • Work with laboratory teams to effectively integrate automation
    • Provide user training, support, advice and feedback
    • Test and modify systems to ensure that that they operate reliably
    • Managing secure network access for all users
    • Keep up-to-date with new technology and propose & implement technology upgrades
    • Recommends informatic strategies, policies, and procedures; identifying problems; evaluating trends; anticipating requirements
    • Present data to internal and external project teams
    • Accurate record keeping via electronic lab note-book system
    • Plan and lead work of line reports

    REQUIREMENTS

    Essential Requirements:
    • Significant applied skills and experience in informatics and data management as well as coding – Dotmatics and SQL
    • Experience working in a pharmaceutical/biotech setting
    • Significant demonstrable knowledge of drug discovery and development
    • Excellent interpersonal skills; effective communication with multidisciplinary teams both
    • locally and remotely
    • Strong influencing skills, including the ability to influence without direct authority
    • Proactive approach to problem solving and strong self-motivation to learn and self-improve
    • Excellent organisational skills and close attention to detail
    • Diligence in documenting work and understanding of the importance of data integrity

    PREFERENCES

    Desirable Requirements:
    • A PhD or equivalent in a biological subject
    • Experience with discovery and development phases of drug discovery projects and a robust understanding of the wider drug discovery process
    • Experience in databases and data transfer portals

    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: Informatics, Data, Manager, Electronic, Lab, Notebook, Systems, Dotmatics, SQL, Scripting, Analysis, Chemistry, Biology, Life, Sciences, Drug, Discovery, Cambridge

    BACKGROUND

    A PhD fellowship in CRISPR bioinformatics in the Gorodkin lab is available from November 1, 2019 or as soon as possible hereafter. We are in search of a team player who is driven by curiosity and excitement and willing to put the necessary effort into the project and thereby play a key role in obtaining successful results.

    Our group and research:
    The Gorodkin lab (ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology and Health (RTH), (rth.dk) at Department of Veterinary and Animal Sciences (ivh.ku.dk/english), work broadly with biological sequence data ranging from bacterial to animal and human genomes where we develop algorithms, constructing tools and analyze data. A key theme is non-coding and structured RNAs which is also relevant for the current phd position.

    Project description:
    The CRISPR technology has become a key cutting tool for genome editing with all the applications that follows. However, unintended cuts elsewhere in the genome, off-targets, can have detrimental effects, result in additional and irrelevant gene activity not related to intended target and for the data analysis it can impossible to filter these effects out. Interestingly, off-targets seem most often ignored in various applications of CRISPR. In this project off-targets will systematically be addressed by developing a computational framework, with outset in an energy model recently published by the lab combined with machine and deep learning, and data generated within the project. This phd project will employ off-target and DNA accessibility data generated within the project. It is visoned that the final model is a hybrid model of the mechanistic energy based characteristics and machine learning for the more implicit features. The CRISPR enzymes will focus on Cas9 and Cas12a. This PhD project is a part of the project "CRISPRcomp: Computational modeling and assessment of CRISPR off-targets" granted by the Independent Research Fund Denmark, Technology and Procuction.

    Principal supervisor is Professor, Jan Gorodkin, Department of Veterinary and Animal Sciences, E-mail: gorodkin[at]sund.ku.dk.

    RESPONSIBILITIES

    Your key tasks as a PhD student at SUND are:
    • Carry through an independent research project under supervision. This include (but not limited to):
      • Extend an existing energy model for the CRISPR-Cas9 system and implement in conjuction of existing code.
      • Integrate methylation data into the off-target mapping algorithm and implement the pipeline.
      • Implement a hybrid energy model and machine or deep learning framework for predicting off-target.
    • Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points.
    • Participate in active research environments including a stay at another research team. This will involve an approximate 6 mo visit to project partner Professor, Ivo L Hofacker, University of Vienna.
    • Obtain experience with teaching or other types of dissemination related to your PhD project.
    • Teach and disseminate your knowledge.
    • Write a PhD thesis on the grounds of your project.

    REQUIREMENTS

    Key criteria for the assessment of applicants:
    • Applicants must have qualifications corresponding to a master's degree related to the subject area of the project such as Bioinformatics, Computer Science or similar areas. Most importantly that you meet the technical requirements in bullet #2 below.
    Other important criteria are:
    • The grade point average achieved
    • Professional qualifications relevant to the PhD project. This include (but not limited to): For the following criteria the level has to be at level where you are able to work independently:
      • Strong knowledge of RNA folding and RNA-RNA interaction algorithms.
      • Strong knowledge of algorithms using suffix-arrays / suffix-trees for mapping (complementary) sequences to genomes
      • Machine learning
      • All of C++ or C, Perl or Python, shell scripting and Unix or Linux operating system
    Critically importantly: your cover letter must address item by item how well you match these criteria.
    • Previous publications
    • Relevant work experience
    • Other professional activities
    • Language skills

    ABOUT US

    Place of employment:
    The place of employment is at the Gorodkin lab, Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen. The work environment in the lab is highly dynamic with good synergy among the different research projects, it is very international (currently 7 nationalities), and we just moved to a new building which will further support the dynamics. The group has access to all the necessary computational infrastructure and high performance computing needed for the project.

    TERMS

    Terms of employment:
    The employment as PhD fellow is full time and for 3 years.

    Start: November 1st, 2019 or as soon as possible thereafter.
    Duration: 3 years as a PhD student + 3 months as research assistant before enrolment, if relevant.

    It is conditioned upon the applicant's success­ful enrolment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant possibly during an initial three-month employment as a research assistant.

    The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty's rules on achieving the degree.

    COMPENSATION

    Salary, pension and terms of employment are in accordance with the agree­ment between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 26.755 DKK /approx. 3.567 EUR (April 2018-level) plus pension.

    ABOUT US

    The Faculty of Health and Medical Sciences comprises approximately 7500 students, 1500 PhD students and 3200 employees. The Faculty advances the field of health sciences through its core activities: research, teaching, knowledge sharing and communication. With basic research fields ranging from molecular studies to studies of society, the Faculty contributes to a healthy future through its graduates, research findings and inventions benefitting patients and the community. The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position

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

    HOW TO APPLY

    Your application must be submitted electronically by clicking 'Apply Now' below. The application must include the following documents in PDF format:
    1. Cover letter spanning your motivation for the position, while addressing point by point the criteria in bullet #2 under the general criteria listed above.
    2. CV incl. education, experience, language skills and other skills relevant for the position
    3. Master of Science diploma and transcript of records. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor will do
    4. Publication list (if possible)

    Apply Now: candidate.hr-manager.net/Appl[...]=4638

    The further process:
    After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor.

    The assessor makes a non-prioritized assessment of the academic qualifications and experience with respect to the above-mentioned area of research, techniques, skills and other requirements listed in the advertisement.

    Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

    You can read about the recruitment process at employment.ku.dk/facu[...]cess/.

    The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

    Interviews are expected to be held in week 42+43.

    Questions:
    For specific information about the PhD fellowship, please contact the principal supervisor.

    General information about PhD study at the Faculty of Health and Medical Sciences is available at the Graduate School's website: healthsciences.ku.dk/phd/guidelines/.

    DEADLINE

    Application deadline: 13 November 2019, 23.59 pm CET

    We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the above-mentioned requirements.

    BACKGROUND

    The Comparative and Rare Oncology Lab focuses on studying the landscapes of naturally occurring canine cancer to inform on treatments for use in the dog and in human disease. In addition the lab has a significant program studying a rare pediatric ovarian cancer centered on novel therapies and discoveries.

    RESPONSIBILITIES

    A mid- to advanced-level bioinformatic professional will work on multiple cancer related projects analyzing biomedical data by developing/applying software and computational biology/statistical methods covering a wide-variety of bioinformatic areas. To provide quality control measures and feedback towards scientific research data and novel computational/software methods, lead/provide large-scale bioinformatics analysis with minimal supervision and actively follow latest trends in biomedical data analysis/methods to provide effective bioinformatics expertise leading towards data analysis, mining, interpretation, research planning, and scientific discoveries.

    Implementation, application, customization of available/known informatics resources and scientific software/data sources in common programming languages/platforms for research support. Visualization/compilation of results, facilitating generally defined routine data processing/migration/organization/management tasks, and building project specific workflows implementing automated analysis steps.

    Following scientific literature/manuscripts, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to cancer informatics, providing feedback towards scientific findings and contributing towards manuscripts/grants/research proposals and research planning. Attending/contributing to/presenting at internal/external scientific meetings/conferences.

    Managing multiple bioinformatics collaborations/projects, mentoring junior staff. Strategic planning, organization, management, organization, utilization, optimization of existing and future bioinformatics resources, skills, and needs.

    REQUIREMENTS

    • Either Bachelor's degree and 7+ years job related experience or Master's degree and 5+ years job related experience
    • Bachelor's/Masters/PhD in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field

    PREFERENCES

    • Proven experience in academic/industrial applied research environment in biomedical data analysis
    • Experience in software development in multiple programming languages, such as Perl/C++/C/Python/Java, and derivatives and applying software and database resources for custom analysis and building workflows
    • Experience with Linux/UNIX/Mac OS X based systems, developing shell scripts/command-line interface, demonstrable experience in large-scale data analysis and utilization of high-performance computing systems, parallel programming
    • Formal training/experience in analyzing gene expression, genotyping, sequencing, CGH, phylogeny, proteomics, or in specific field needed by the duties, and various biomedical databases
    • Experience with scientific computing and data visualization tools, such as MATLAB, R, etc., and understanding of intermediate level of statistics
    • Excellent communication skills and strong drive to interact with researchers carrying out cutting-edge biomedical research
    • Experience in software engineering, such as version control (CVS/SVN), backup, documentation, testing, validation
    • Ability to follow/understand/investigate scientific literature and relevant bioinformatics technologies
    • Proven experience in understanding/implementing computational algorithms, statistical methods, custom biomedical data analysis Keen attention to detail, proven analytical and problem-solving abilities, working both independently and in a team-oriented, collaborative environment interacting with multiple researchers on multiple projects

    ABOUT US

    Translational Genomics Research Institute (TGen) is a Phoenix, Arizona-based non-profit organization dedicated to conducting groundbreaking research with life changing results. TGen is focused on helping patients with neurological disorders, cancer, diabetes, and infectious diseases, through cutting edge translational research (the process of rapidly moving research towards patient benefit). TGen physicians and scientists work to unravel the genetic components of both common and rare complex diseases in adults and children. Working with collaborators in the scientific and medical communities literally worldwide, TGen makes a substantial contribution to help our patients through efficiency and effectiveness of the translational process. TGen is affiliated with City of Hope, a world-renowned independent research and cancer and diabetes treatment center: www.cityofhope.org. This precision medicine affiliation enables both institutes to complement each other in research and patient care, with City of Hope providing a significant clinical setting to advance scientific discoveries made by TGen. For more information, visit: www.tgen.org.

    HOW TO APPLY

    If you are interested in seeing the most up to date job listings or to apply for this position, please go to www.tgen.org/careers-tgen/ and submit your resume. Please take a moment to read about our employee benefits and learn more about TGen. If you have any questions about the company or how to apply for a position, please contact hr[at]tgen.org.

    Only resumes submitted through the TGen career website will be considered.

    POLICY

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