Bioinformatics.org
[NEU MS in Health Informatics]
Not logged in
  • Log in
  • Bioinformatics.org
    Membership (37691+) Group hosting [?]
  • Wiki
  • Franklin Award
  • Sponsorships
  • Careers
    About bioinformatics
    Bioinformatics training
    Bioinformatics jobs

    Research
    All information groups
    Online databases Online analysis tools Online education tools More tools

    Development
    All software groups
    FTP repository
    SVN & CVS repositories [?]
    Mailing lists

    Forums
    News & Commentary
  • Submit
  • Archives
  • Subscribe

  • Jobs Forum
    (Career Center)
  • Submit
  • Archives
  • Subscribe
  • Career Center - News

    Latest announcements
    Submit Archive Subscribe

    BACKGROUND

    CosmosID is a genomic big data company focused on rapid identification of microorganisms for infectious disease diagnostics, public health surveillance, food safety inspections, pharmaceutical discovery, and microbiome analysis for health and wellness.

    RESPONSIBILITIES

    CosmosID is recruiting an NGS Laboratory Research Associate to support their DNA/RNA sequencing laboratory and genomic and metagenomic data analysis. This position is for someone who is driven, embraces change, and is very willing to learn in a field that is constantly evolving.

    Responsibilities will include follow-up on sample-specific data on a laboratory information management system, ensuring that SOP's adhere to defined, quality control standards, developing and optimizing wet lab protocol, and interacting with the R&D group in the exchange of project-related information and technical data. The person will also participate in a diverse variety of activities related to genomics, bioinformatics, and next-generation sequencing with an enthusiastic interest in comparative metagenomics analysis and data visualization.

    REQUIREMENTS

    • Minimum Bachelor's degree in Biological Sciences or related field with 1+ years of laboratory experience
    • Knowledge of the theories, practices and procedures of common molecular biology methods including nucleic acid extraction, PCR and DNA sequencing
    • Familiarity with common bioinformatics tools and processes
    • Excellent oral and written communication, presentation, and interpersonal skills
    • Demonstrated skill with Microsoft Excel
    • Strong interest in developing bioinformatics skills such as analysis of NGS data and writing bioinformatics pipelines
    • Proven track record of teamwork and a good work ethic

    PREFERENCES

    • Experience with operation of any next-generation sequencing instruments and demonstrated knowledge of different genomic library prep techniques
    • Experience working in a CLIA/CAP-certified laboratory
    • Basic programming knowledge and Unix experience
    • Experience in manipulation and analysis of next-generation genomic and metagenomic DNA sequencing data in the Linux environment will be preferred.
    • Strong verbal and written communication skills

    TERMS

    Position Type: Full-Time

    LOCALE

    CosmosID, Inc. is located in Rockville, MD.

    COMPENSATION

    Compensation is market competitive, and based on the experience and the expertise of the selected candidates.

    HOW TO APPLY

    Interested candidates are invited to send their CV and cover letter to jobs[at]cosmosid.com.

    POLICY

    Candidates should have a US legal work permit.

    BACKGROUND

    CosmosID is a genomic big data company focused on rapid identification of microorganisms for infectious disease diagnostics, public health surveillance, food safety inspections, pharmaceutical discovery, and microbiome analysis for health and wellness.

    RESPONSIBILITIES

    The Bioinformatics Analyst will participate in NGS data analysis, genomic data management, and pipeline development. Responsibilities will include using common bioinformatics tools and writing new tools to drive projects in genomics, bioinformatics, and next-generation sequencing. Additionally the ideal candidate for this position will assist in reference data QC/QA and enthusiastically dive into comparative metagenomics analysis and data interpretation and visualization. This position is for someone who is driven, embraces change, and is very willing to learn in a field that is constantly evolving.

    REQUIREMENTS

    • B.S. in Bioinformatics, Computer Science, Biology or related field
    • Experience with NGS data analysis
    • Experience writing scripts or developing tools in programming languages such as Perl, Python, R, C++, or Java
    • Solid Unix/Linux foundation
    • Clear communication skills
    • Moderate scientific baseline knowledge
    • Familiarity with publicly available bioinformatics tools, algorithms and databases, such as NCBI
    • Ability to work well within a small group
    • Ability and initiative to learn and build new bioinformatics tools
    • Strong work ethic

    PREFERENCES

    • Bioinformatics experience in pipeline development, Next-Generation sequencing data management and analysis, or high-volume biological data management and analysis
    • Statistical data visualization and graphics
    • Experience using version control systems

    TERMS

    Position Type: Full-Time

    LOCALE

    CosmosID, Inc. is located in Rockville, MD.

    COMPENSATION

    Compensation is market competitive, and based on the experience and the expertise of the selected candidates.

    HOW TO APPLY

    Interested candidates are requested send their CV and cover letter to jobs[at]cosmosid.com.

    POLICY

    Candidates should have a legal work permit for the US.

    RESPONSIBILITIES

    The Stowers Institute has an opening for a Research Specialist/Bioinformatician to support the computational biology needs of the Zeitlinger lab. The lab uses high-throughput sequencing assays to decode genome information and understand the mechanisms by which this information is read by the cell.

    Primary duties include: Processing and managing high-throughput sequencing data (e.g. ChIP-seq, RNA-seq), creating customized computational scripts to transform, visualize, and analyze large biological data sets, and working as part of a research team to develop new experimental approaches, test biological hypotheses and bring the results to publication.

    REQUIREMENTS

    The ideal candidate is fluent in Unix and R, has a background in biology, and strong analytical and problem solving skills. Familiarity with statistical methods and machine learning is a bonus.

    The minimum requirements are a Master's or Ph.D. degree in molecular biology, computational sciences, or a related field, or an undergraduate degree in one of these fields with two years of working experience in a related field.

    HOW TO APPLY

    To apply, send resume, transcripts, and statement of interest to careers[at]stowers.org and jbz[at]stowers.org

    DESCRIPTION

    Colby College invites applications for an open rank tenure-track position in Computer Science to support our growing program in Computational Biology, to start on 1 September 2017. Applicants must hold, or be close to completing, a Ph.D. in computer science, computer engineering, or a related area and have a research focus in computational biology or bioinformatics. This position is part of a major multi-disciplinary initiative in Computational Biology that includes faculty positions in Biology, Computer Science, and Statistics, an expanded Computational Biology curriculum, investments in computing and network infrastructure, and partnerships with the Jackson Laboratory and the Bigelow Laboratory for Ocean Sciences. The position will require a balance of teaching and research.

    Review of applications will begin on 15 October 2016 and will continue until the position is filled. Full consideration will be given to candidates whose materials are received prior to the review date.

    Colby College is a highly selective, comprehensive liberal arts college in Waterville, Maine. The department offers a major and a minor in computer science and participates in majors in Computational Biology, Interdisciplinary Computing Environmental Sciences, IC Theater and Dance, and IC Music. Students pursuing these interdisciplinary majors take a mixture of CS courses and courses in their focus area.

    The Colby CS program is an outward-looking program designed to integrate with and take advantage of its liberal arts environment. In addition to providing the foundations of a CS education, our core courses focus on the applications of computer science across the humanities, social sciences, and natural sciences and mathematics. We are looking to strengthen this aspect of our program with this position; competitive candidates will address how they will support a Computational Biology program, situate themselves in a CS department at a small liberal arts college, and participate in the larger academic community.

    A full teaching load at Colby is five courses per year. The courses will typically include a mixture of core CS courses and upper level electives. The department is well-equipped with computing facilities including a large teaching lab, student project spaces, a research lab with linux workstations, and a centralized research compute cluster. In addition, we have a strong connection with the University of Maine through the Maine Research Network [MEREN] for access to high performance computing and storage facilities. For more information about the CS department, faculty, and courses, please see the department web site at cs.colby.edu.

    Computational Biology faculty at Colby benefit from our unique partnerships with the Jackson Laboratory and the Bigelow Laboratory for Ocean Sciences, both located in Maine. The College has strong research and educational partnerships with both institutions, and incoming faculty will be able to take advantage of that relationship in their teaching and research. Benefits potentially include access to data, research partnerships with scientists, access to computational resources, and opportunities for summer and sabbatical positions.

    HOW TO APPLY

    Application Instructions: Interested candidates should have three references submitted electronically from their referees to Interfolio and provide the following materials as PDFs: a cover letter highlighting their qualifications for the position, a CV, a statement outlining their teaching philosophy and experience, a list of courses they would like and are qualified to teach, a statement of research interests that includes how undergraduate students could participate in their research program and how it would support the Computational Biology program, and a representative sample of current scholarship (e.g. peer-reviewed publications). All materials must be submitted electronically to Interfolio: apply.interfolio.com/36942. Questions about the position should be directed to the chair of the search committee, Bruce Maxwell (computersciencesearch[at]colby.edu).

    POLICY

    Colby is a private, coeducational liberal arts college that admits students and makes employment decisions on the basis of the individual's qualifications to contribute to Colby's educational objectives and institutional needs. Colby College does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, disability, religion, ancestry or national origin, age, marital status, genetic information, or veteran's status in employment or in our educational programs. Colby is an Equal Opportunity employer, committed to excellence through diversity, and encourages applications from qualified persons of color, women, persons with disabilities, military veterans and members of other under-represented groups. Colby complies with Title IX, which prohibits discrimination on the basis of sex in an institution's education programs and activities. Questions regarding Title IX may be referred to Colby's Title IX coordinator or to the federal Office of Civil Rights. For more information about the College, please visit our website: www.colby.edu

    BACKGROUND

    There's quite a distance between wondering and knowing. And for patients waiting for answers to important health questions, it's a road they want to travel as quickly as possible.

    At Quest Diagnostics Incorporated, we understand urgency. But more than speed, we focus our energies on accuracy. Currently, we seek a Staff Bioinformatics Scientist in San Juan Capistrano.

    RESPONSIBILITIES

    Basic Function and Scope of the Position:
    Plans, prepares, conducts experimentation, prepares reports and analysis of results as related to product/process development improvement. Activities may be focused individual projects or assignments as a member of a project team which may include project leadership duties.

    Impact:
    Successful performance of job duties contributes to the success of projects in support of product development activities. Impacts the ability of the project team to meet assigned goals.

    Essential Job Duties:
    Evaluate, develop, validate, and implement new next-generation sequencing (NGS) data analysis technology and technology enhancements, including bioinformatics analysis pipelines, testing/validation scripts, and other tools related to genetic diagnostics. Consult on process and technology improvements within R&D, Operations, and IT departments. Participate in resolution of support requests where computational biology tools are used. Regularly report progress and prepare data analyses for internal review.

    Position Supervised:
    None.

    Supervision Received:
    Works under general supervision, receiving instructions on specific assignment objectives, complex features, and possible solutions. Assistance is furnished on unusual problems and work is reviewed for application of sound professional judgment

    REQUIREMENTS

    Must have a demonstrable proficiency with Perl, Python and/or shell scripting. Excellent verbal and written communication skills required. Knowledge of SQL database development strongly preferred. Advanced science, engineering, or computer science degree desired. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

    Education and/or Experience:
    Bachelor's degree required, MS or PhD preferred. Two or more years of relevant experience in IT, life sciences, computational biology/bioinformatics, engineering, or computer science required. Two or more years of software development and/or database development experience in a SQL, Linux, and/or HPC environment strongly preferred. Hands-on experience analyzing NGS data desired. Project management and support experience a plus.

    Language Skills:
    Ability to read and interpret documents such as professional journals, operating instructions, and procedure manuals. Ability to write complete reports and correspondence. Ability to speak effectively in one-on-one and small group situations.

    Mathematical Skills:
    Ability to apply mathematical concepts to problem-solving situations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance and correlation techniques. Biostatistics experience is a plus.

    Reasoning Ability:
    Ability to apply commonsense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several variables in a variety of situations.

    Other Knowledge, Skills and Abilities:
    Requires a thorough knowledge of related products and technologies gained through developmental experience in an academic or industrial setting.

    LOCALE

    San Juan Capistrano, CA

    HOW TO APPLY

    Please submit resumes to Jessica Hicks, Sr. TA Partner at jhicks[at]ameripath.com or Visit www.questdiagnostics.com and search for Job Opening ID 3766391.

    BACKGROUND

    The Wistar Institute is looking for an exceptional candidate to join their Cancer Center Bioinformatics Shared Resources Team. The position is highly collaborative and interdisciplinary with opportunities to work with a variety of investigators on basic mechanisms of gene regulation, identification of disease and cancer targets and functional and diagnostic genomics. The successful candidate will play a key role in an integrative team of bioinformatics analysts and biomedical researchers. We are looking for an individual who is enthusiastic about taking a hands-on collaborative approach to understanding these problems and in making significant contributions to our efforts.

    Successful candidates will work with wet-lab researchers to translate computational models into testable experiments and should have experience communicating in a biomedical environment with broad understanding of the field. The position requires familiarity with the analysis of high throughput data from various sources including NGS sequencing, microarrays and proteomics and the capability to integrate various types of high dimensional data with functional biological information and to explore novel data representation modes with emphasis on integrating diverse result types.

    RESPONSIBILITIES

    Characteristic Duties:
    • Pre-experimental project consultations
    • Develop data analysis strategies, write algorithms as needed, and identify and deploy computational tools for the exploration of high-throughput datasets
    • Conceive, implement and test statistical models
    • Prepare project reports and discuss results, problems and solutions with users

    REQUIREMENTS

    PhD degree in Bioinformatics, Computer Science, Engineering, Statistics, Physics, or any quantitative discipline. A minimum of 2 years of post-doctoral experience in computational analysis of high dimensional biomedical data ( next generation sequencing, microarrays, proteomics) is preferred. Candidates should have outstanding academic records; a demonstrated proficiency with statistical and programmatic tools needed for the exploration of high-dimensionality datasets and be an innovative and analytical thinker with strong communication skills who can work well in an inter-disciplinary team.

    Significant experience with at least some of the following is required:
    • Experience in Matlab or R statistical environments is required
    • Experience in programming languages (Python, Perl or C/C++) is required
    • Analysis of data using machine learning approaches
    • Developing tools for data visualization
    • Implementing algorithms for data search, retrieval and annotation
    • A background in Biology or demonstrated experience working and communicating with biologists is very helpful

    COMPENSATION

    We offer an excellent benefits package.

    ABOUT US

    The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. Research discoveries conducted at Wistar have led to the development of vaccines; the identification of genes associated with cancers; and the development of many other significant research technologies and tools.

    For more information about The Wistar Institute visit our website at www.wistar.org.

    HOW TO APPLY

    Curriculum Vitae and three references should be sent to: Dr. Louise Showe, The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104 or via email to lshowe[at]wistar.org. Applicants are also encouraged to apply online by visiting www.wistar.org/the-[...]yment.

    POLICY

    It is the policy of The Wistar Institute to provide equal employment opportunities to all individuals regardless of race, color, creed, religion, national origin, ancestry, sex, age, veteran status, disability, sexual orientation, gender identity, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.

    RESPONSIBILITIES

    Manage all aspects of multiple on-going, multi-disciplinary projects including the coordination of study design and implementation, sample collection, documentation, reporting, and communication. Opportunities for publishing scientific papers and participating in grant proposals for development of techniques and analysis related.

    Percentage of time spent on each facet of the position:
    1. Development of project-specific bioinformatics (computational and database) tools in conjunction with Faculty, Students, and Academic Staff (10%)
    2. Training and technical support for bioinformatics software including potentially teaching seminars or workshops (10%)
    3. Analysis of genomic and sequence data generated by customers in the Center (60%)
    4. Oversight of computational and informatics resources including software and hardware. Liaise with staff at the UWM computing cluster facility (10%)
    5. Preparation of manuscripts, reports, web-based public databases, and funding proposals (10%)

    REQUIREMENTS

    • Minimum of bachelor's degree in bioinformatics, molecular biology or related field
    • At least two years' experience in analyzing genomic data including de novo assemblies, multiple sequence alignment (preferably with high-throughput sequencing data), management of large datasets, and experience with gene and protein prediction, neural network analysis, and analysis of microarray data
    • Experience in programming with Perl, BioPerl or other programming related to sequence analysis, statistical packages (such as R or MATLAB)
    • Familiarity with UNIX environments and computing clusters
    • Written and verbal communication skills
    • Demonstrated evidence of teamwork collaboration

    PREFERENCES

    • Masters degree in bioinformatics, molecular biology or related field
    • Prior experience developing scientific software and informatics tools
    • Experience with analysis of next-generation sequence data for large genomes as well as microbial community analysis

    TERMS

    This position is a 12-month, 100% fixed term, renewable academic staff appointment.

    COMPENSATION

    Salary will be within Academic Staff salary range and will be commensurate with experience.

    LOCALE

    Great Lakes Genomics Center, University of Wisconsin-Milwaukee, School of Freshwater Sciences
    www4.uwm.edu/freshwater/

    HOW TO APPLY

    Applicants must apply online by visiting jobs.uwm.edu/postings/25477. All applicants must submit a cover letter outlining qualifications and interests, along with a resume that includes names of three references that can speak to the applicant's abilities, and contact information for all three references.

    DEADLINE

    Review of applications will begin on August 22, 2016 and will continue until the position is filled.

    BACKGROUND

    A PhD position is available at the newly formed Department of Bio and Health Informatics (DTU Bioinformatics) at the Technical University of Denmark within the areas of:

    Health Informatics, Associate professor Ramneek Gupta, mail: ramneek[at]cbs.dtu.dk
    Biotechnology and Meta-Genomic Informatics, Professor Thomas Sicheritz-Pontén, mail: thomas[at]cbs.dtu.dk
    Artificial Intelligence in Life Science, Professor Morten Nielsen, mail: mniel[at]cbs.dtu.dk

    Please note that the applicant need to contact one of the theme leaders at the department in order to make a project proposal and in order to identify the relevant advisory team (note that the DTU PhD system requires that this information is contained in the application).

    DTU Bioinformatics:
    The research at DTU Bioinformatics is focused on benefitting from the wealth of new data and data types being generated within Life Science to improve human and animal health and develop solutions to problems of biotechnological and industrial interest. A cornerstone in achieving this is the dedicated effort within DTU Bioinformatics to develop artificial intelligence and machine learning solutions to the challenge of handling and interpreting large scale and heterogeneous data.

    Machine learning:
    Machine learning is a specialized field within artificial intelligence covering algorithms with the ability to learn (from data) without being explicitly programmed. In contrast to conventional top down hypothesis driven research, with machine learning techniques, biological mechanisms are identified directly from data most often without any prior hypotheses. Within biology this approach has proven very powerful. A focus of the department is thus to design and develop new algorithms and tools to meet the challenges of the amount and the complexity of big data within the health sector, and the upcoming data avalanche from the biotech industry.

    Health Informatics:
    Within the theme Health Informatics DTU Bioinformatics is engaged both in a) human genetics based health informatics, examples being the hologenetic view on childhood leukaemia and patient stratifications with traditional medicine approaches b) infectious diseases informatics, examples being the preparing for the next generation of global disease surveillance and building local outbreak predictors.

    Biotechnology and MetaGenomic Informatics:
    Within the theme Biotechnology and MetaGenomic Informatics DTU Bioinformatics has strong interaction with the Danish Biotech industry in the discovery and refining of industrially important processes, examples being using large scale omics together with machine learning concepts to improve food related processes like wine fermentation and milk production.

    REQUIREMENTS

    Candidates should have a scientifically relevant master's degree in engineering/natural sciences or a similar degree with an academic level equivalent to the master's degree. Strong communication skills and a strong academic record is an advantage. The applicant should strive towards developing scientific skills at the highest level, be ambitious and hard working. Only applicants with great talent and a possibility to be among the brightest in their field will be considered.

    Approval and Enrolment:
    The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the PhD School of the department. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide. (www.dtu.dk/engl[...]guide)

    COMPENSATION & TERMS

    The salary and appointment terms are consistent with the current rules for PhD degree students. The period of employment is 3 years.

    ABOUT US

    We offer:
    We offer an interesting and challenging job in an international environment focusing on education, research, public-sector consultancy and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.

    Further information:
    Further information may be obtained from Head of PhD school Ole Lund, tel.: +45 4525 2425, mail: olund[at]dtu.dk.

    Please do not send applications to this e-mail address, instead apply online as described below.

    You can read more about the Department of Bio and Health Informatics on www.cbs.dtu.dk.

    DTU Bioinformatics is a new department at DTU formed by the bioinformatic part of the former Department of Systems Biology. DTU Bioinformatics is operating at the highest level of research, teaching, innovation, and consultancy services within the areas biotechnological informatics and health informatics. The department's activities in the fields of research, teaching, scientific advice, and innovation are centred on the following research areas: health and cancer, immunology, infectious diseases, proteins, molecular biology, and molecular mechanisms, plants and biotechnology and big data infrastructure.

    DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,300 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.

    HOW TO APPLY

    Please submit your online application no later than 19 September 2016. Apply www.career.dtu.dk

    Applications must be submitted as one pdf file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one pdf file. The file must include:
    • A letter motivating the application (cover letter)
    • Curriculum vitae
    • Grade transcripts and BSc/MSc diploma (an official translation into English)
    • Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here) (www.dtu.dk/engl[...]ce-1-)
    Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

    POLICY

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

    BACKGROUND

    To engage in a vigorous basic and applied genomics and computational research core facility focused on the use of next generation sequencing, high performance computing, and computational biology to advance research and educational priorities at Clemson University.

    RESPONSIBILITIES

    Job Duties:
    50% – Essential – Experiments:
    Plan, coordinate, execute experiments, analyze data, and prepare manuscripts.

    30% – Essential – Bioinformatics:
    Develop and maintain new analytical pipelines and computational/statistical approaches to analyze data.

    20% – Essential – Outreach:
    Develop and provide training and outreach material on bioinformatics and computational applications and tools in an HPC environment.

    Job Knowledge:
    • Firm Job Knowledge – Firm working knowledge of concepts, practices and procedures and ability to use in varied situations
    Supervisory Responsibilities:
    • Acts as Lead – Acts as a Lead by guiding the work of others who perform essentially the same work.
    Budget Responsibilities:
    • No Budget Responsibilities – No fiscal responsibility for the department's budget.
    Physical Requirements:
    • Sit (stationary position) for prolonged period
    • Communicate, converse, give direction, express oneself
    • Recognize or inspect visually

    REQUIREMENTS

    Education – Doctoral / Professional Degree – in Bioinformatics/Bio./Comp. Sc., Exp. in next gen. sequence data analysis, bioinformatics programming

    COMPENSATION

    Benefits Information:
    Employees who are in time limited positions will earn one and one-quarter days of Annual and Sick Leave per month for a total of thirty (30) days per year. Eligible part-timers will earn days on a pro rata basis.

    LOCALE

    Position is located on the Clemson University main campus, Biosystems Research Complex

    TERMS

    Full/Part Time: Full-Time
    Regular/Temporary: Temporary – Time Limited
    Work Schedule: Standard Hrs: 37.50 hours per week

    HOW TO APPLY

    Please visit www.clemson.edu/empl[...].html

    Apply Here: www.Click2Apply.net/r25s7xdcft

    DEADLINE

    Review of credentials will begin September 19, 2016 and position will remain open until filled.

    POLICY

    Jeanne Clery Act:
    The Jeanne Clery Disclosure Act requires institutions of higher education to disclose campus security information including crime statistics for the campus and surrounding areas. As a current or prospective Clemson University employee, you have a right to obtain a copy of this information for this institution. For more information regarding our Employment, Campus Safety and Benefits, please visit the Human Resources – Prospective Employees web page shown below:

    www.clemson.edu/empl[...]tive/

    Closing Statement:
    Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information. Clemson University is building a culturally diverse faculty and staff committed to working in a multicultural environment and encourages applications from minorities and women.

    DESCRIPTION

    Position Type:
    Other Academic

    Department:
    LSUAM Science - BioS - Computational Biology - Bio Networks (Michal Brylinski (00004691))

    Work Location:
    LSU - Baton Rouge

    Pay Grade:
    Other Academic

    Responsibilities:
    • 75% Pursue an independent research project investigating across-proteome interaction networks linking drug compounds with their macromolecular targets.
    • 15% Assist with training and supervision of graduate and undergraduate students.
    • 10% Assist with general lab maintenance (software packages, websites, webservers, publicly available datasets, etc.)
    Min. Quals:
    PhD in Computational Biology, Biophysics or related field; one year post-doctoral experience in a computational biology laboratory, in computational biology, bioinformatics, biophysics; three years experience in the development of scientific codes for computational biology, structure-based modeling of proteins and protein-ligand complexes

    Additional Position Information:
    Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

    Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

    Essential Position (Y/N):
    No

    HOW TO APPLY

    Link to Job Posting:
    lsu.wd1.myworkdayjobs.com/LSU/[...]04525

    Special Instructions:
    Please attach C.V. to include list of publications.

    Please provide three professional references including name, title, phone number and e-mail address.

    A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required prior to hire.

    Posting Date:
    August 19, 2016

    HCM Contact Information:
    Questions or concerns can be directed to the LSU Human Resources Management Office at 225-578-8200 or emailed HR[at]lsu.edu

    DEADLINE

    Closing Date: Open Until Filled

    POLICY

    EEO Statement:
    LSU is committed to diversity and is an equal opportunity / equal access employer.

    BACKGROUND

    One postdoctoral position in bioinformatics is immediately available in the Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte. The appointee will support and complement ongoing projects in big data biomedical research, particularly in developing computational approaches to integrate large-scale omics and interaction data sets for scientific discovery and validation.

    RESPONSIBILITIES

    Candidate will be expected to conduct research on bioinformatics and computational biology with members of the research laboratory, as well as collaborative efforts with colleagues from other institutions. Candidate will also be required to attend selected scholarly activities presented in the College of Computing and Informatics as well as write original articles in international peer-reviewed journals on your research discoveries. As a team player working closely with cross-institutional scientists with broad areas of expertise, strong interpersonal and communication skills are essential.

    REQUIREMENTS

    Candidate must have a Ph.D. in quantitative fields (including but not limited to Bioinformatics, Computational Biology, Computer Science, Genetics, (Bio)Statistics, Mathematics, and Physics) at the time of appointment, and have demonstrated a high level of research productivity through publication in peer-reviewed venues. Required skills include programming in scripting languages (e.g. Python, Perl) and statistical/mathematical tools (e.g. R, SAS, Matlab).

    PREFERENCES

    Proficiency with programming languages including C/C++/Java is highly desirable. Knowledge of machine/statistical learning and mathematical modeling techniques is preferable.

    TERMS

    The position will initially be funded for one year, and is renewable on a yearly basis, pending satisfactory progress and the availability of appropriate funds.

    LOCALE

    Charlotte, NC, USA

    COMPENSATION

    We offer a collegial environment, excellent facilities, and a competitive salary commensurate with experience (typically starting with ~50k/year plus benefits).

    HOW TO APPLY

    Please send your application to Xinghua (Mindy) Shi via email x.shi[at]uncc.edu, including a CV with publications, contact information for 3 references, letter of interest, and brief research statement.

    For additional information, please visit our websites at bioinformatics.uncc.edu and shilab.uncc.edu.

    DEADLINE

    November 15, 2016

    POLICY

    The University of North Carolina at Charlotte is an EOE/AA employer and an NSF ADVANCE Institution.

    Submitter

    BACKGROUND

    We are seeking an innovative, dedicated, and highly-motivated High Performance Computing (HPC) Engineer to solve challenging problems for our client, a large scientific and medical research agency. If working with a 2000+ core HPC cluster, implementing and supporting bioinformatics applications for a large research community, and creating scalable and optimal solutions sounds interesting to you, then please apply.

    The High Performance Computing Engineer will be responsible for the architecture design, life-cycle upgrades, and feature enhancements for a 2000+ core high performance compute cluster designed to support genomics, molecular dynamics, proteomics, phylogenetics, and deep learning research. In this role as a Sr. HPC Engineer, you will develop and implement innovative and complex solutions, ensuring that upgrades and changes comply with established guidelines and processes. You will monitor and report on cluster performance, install and configure complex bioinformatics applications, and assist with the resolution of the most difficult system problems. The Sr. HPC Engineer will help further develop and execute high performance computing solutions using cluster/grid technologies. You will be a leading expert on high performance computing and mentor colleagues.

    RESPONSIBILITIES

    • Apply in-depth HPC and Linux expertise to collaborate with stakeholders across IT and domain disciplines to expand HPC use in support of world class, cutting-edge scientific research.
    • Collaborate with NIAID researchers to understand their scientific pipelines and then implement efficient, technical solutions to meet their needs.
    • Develop functional and technical IT system requirements and specifications, conduct needs analysis, planning and scheduling the installation of a wide variety of new or modified hardware/software.
    • Advise on HPC technology directions and investments and make technical presentations to other technical personnel and department leadership.
    • Utilize scripting and automation tools like Puppet to install software on the cluster.
    • Support parallel file systems such as IBM Spectrum Scale.
    • Support high performance clusters with schedulers like Grid Engine.

    REQUIREMENTS

    • Bachelors degree and 6+ years experience, or equivalent combination of education and experience.
    • 5+ years of experience with Linux/Unix variants, especially RedHat/RHEL and its derivatives
    • 5+ years of experience supporting high performance clusters with schedulers like Grid Engine (in any variant) or others such as PBS, Moab, or SLURM.
    • Hands-on experience supporting parallel file systems such as IBM Spectrum Scale (formerly GPFS), or Luster, PNFS, etc.
    • Demonstrated working knowledge of popular Bioinformatics applications and ability to compile, package, install, and upgrade software as well as assist researchers with configuring job submission scripts and troubleshooting application issues
    • Scripting experience (Perl, Python, Ruby, R, or bash, etc.)
    • Automation/configuration management experience (Chef, Puppet, Ansible, Salt, etc.)
    Competencies:
    • Able to clearly present ideas to both technical and non-technical users in formal and informal settings
    • Demonstrated decision-making skills and leadership ability to assist with management of project portfolio and daily operations for team

    PREFERENCES

    • SAN/NAS hardware experience
    • Experience architecting and supporting Infiniband networks
    • Experience running parallel jobs with OpenMP or MPI
    • Knowledge of GPU computation and CUDA
    • Experience configuring and running BrightCluster Management Software

    TERMS

    Position is for full time employment with CSRA.

    LOCALE

    Rockville, MD

    COMPENSATION

    Negotiable

    HOW TO APPLY

    Please apply directly online via our careers site www.csra.com to #9621 or via this link: jobs.csra.com/sear[...]459/1

    DEADLINE

    ASAP

    POLICY

    EEOC

    BACKGROUND

    A postdoctoral position is available in Computational Genomics at the Wellcome Trust Sanger Institute under the leadership of Dr Daniel Gaffney. The long-term goal of the lab is to understand how genetic changes influence gene regulation, using a combination of statistical and experimental approaches. One current theme of our group is in the area of gene-environment interactions. We are currently generating RNA-seq and ATAC-seq profiles in immune cells across large numbers of stimulated states, and in hundreds of individuals, to discover regulatory variants whose function is normally "hidden" in naïve cell states.

    The applicant will have the opportunity to develop novel methods for the analysis of gene-environment interactions, and apply these methods to a novel data set generated in our own group. The successful applicant will also have the opportunity to directly test computational results experimentally using CRISPR/Cas9 genome editing, working with the experimental members of the group. The successful applicant will be expected to develop his or her own interests as the project progresses.

    Candidates in Biology with a strong background in quantitative analysis and population genetics are strongly encouraged to apply. We also welcome candidates with a background in Physics, Statistics or Computer Science with strong interests in computational biology. Excellent programming skills, experience with very large data sets and an ability to work as part of a team are essential. The post-holder will work as part of the Gaffney group at WTSI, for more information on the group's research see: www.sanger.ac.uk/scie[...]group

    REQUIREMENTS

    Essential Skills:
    • PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Computer Science, Physics)
    • Strong publishing record
    • Strong statistical and quantitative skills and familiarity with statistical modeling and software
    • Excellent programming skills (C, C++, Perl, Python, Java) and extensive experience of UNIX/Linux and cluster computing
    • Ability to communicate ideas and results effectively
    • Ability to work well with other team members
    • Ability to work to tight deadlines
    Ideal Skills:
    • Previous experience in population genetic analysis
    • Experience with analysis of -omics data sets
    • Some familiarity with the stem cell biology

    COMPENSATION

    Salary range: £30655 to £38428 dependent on experience

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

    TERMS

    Fixed-term, 3 years

    ABOUT US

    Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. Campus Life The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre.

    The Campus is also home to the Wellcome Genome Campus Courses, Conferences and Public Engagement (CCPE) programme. The CCPE programme delivers training and engagement focussed around genomics, its applications, and implications. Its vision is to inspire a range of audiences both on the Campus and beyond it, and make the world of genomics open and accessible to all. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. In addition the Campus is home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre.

    HOW TO APPLY

    Please include a covering letter and CV with your application.

    Application Link: jobs.sanger.ac.uk/wd/p[...]74793

    DEADLINE

    Closing date for applications: 11th September 2016, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.

    POLICY

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

    BACKGROUND

    The Wellcome Trust Sanger Institute, a world leader in genetic research, is looking for an exceptional Computational Biologist (Staff Scientist) to work on host-pathogen interactions. The successful candidate will join an interdisciplinary team of laboratory scientists, computational biologists and bioinformatics to develop innovative analysis tools and to lead on the biological analysis of large datasets. The role will be based within the Institute's Malaria Programme (Dr. Oliver Billker), but we are looking for a talented individual who can provide an effective interface with our other Programmes in Cellular Genetics and Computational Biology, in particular the Single Cell Initiative (Dr. Sarah Teichmann and others). Ongoing large-scale projects range from screening libraries of in vitro differentiated stem cells for interactions with a panel of pathogens, to single cell transcriptomics of malaria parasite development and immunity. For informal inquiries you may contact Dr. Oliver Billker (ob4[at]sanger.ac.uk).

    REQUIREMENTS

    Essential Skills:
    • PhD degree or equivalent experience in a computational or biological science.
    • Extensive experience or formal training in computational biology or bioinformatics and familiarity with genome and transcriptome data
    • Demonstrated proficiency with several of the following technologies: R, Unix, Perl, Python, Java, Matlab, C, C++
    • Evidence of ability to work as part of a team
    • Highly developed problem solving skills
    • Excellent communication skills as evidenced by publications and presentations
    • Ability to prioritise tasks to ensure the right things are done at the right time

    PREFERENCES

    Ideal Skills:
    • Evidence of ability to work effectively in an interdisciplinary environment
    • Good knowledge of genomics, cell biology and immunology
    • Experience with large biological datasets

    COMPENSATION

    Salary range from: £31033 to £39142pa dependent on experience

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

    ABOUT US

    Campus Life The Sanger Institute is a charitably funded research centre focused on understanding the role of genetics in health and disease. We use state of the art large-scale genomic approaches to drive world-leading projects to uncover the basis of genetic and infectious disease. Our goal is to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. The Institute is located near Cambridge, UK on the stunning Wellcome Genome Campus. This growing and dynamic site is the British hub of genomic science. It hosts the European Bioinformatics Institute (EBI), Open Targets, a Biodata Innovation Centre and will soon host Genomics England Limited's 100,000 Genomes Sequencing Centre.

    The Campus is also home to the Wellcome Genome Campus Courses, Conferences and Public Engagement (CCPE) programme. The CCPE programme delivers training and engagement focussed around genomics, its applications, and implications. Its vision is to inspire a range of audiences both on the Campus and beyond it, and make the world of genomics open and accessible to all. To help researchers to develop their skills and networks, the Institute hosts a range of scientific seminars with internal and invited speakers, scientific group meetings and skills development workshops. In addition the Campus is home to the Wellcome Trust Advanced Course and Scientific Conferences programme and the Wellcome Trust Conference Centre.

    HOW TO APPLY

    Please include a covering letter and CV with your application.

    Application Link: jobs.sanger.ac.uk/wd/p[...]74382

    DEADLINE

    Closing date for applications: 5th September 2016

    POLICY

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

    BACKGROUND

    Medical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.

    MSC is currently searching for a Computational Biologist to support the National Institutes of Health (NIH). This opportunity is full-time, and it is on site in Bethesda, MD.

    RESPONSIBILITIES

    The Computational Biologist will provide assistance to one or more senior investigators by analyzing genomic – transcriptomic data and by performing laboratory experiments in support of biomedical research programs and projects.

    Duties and Responsibilities:
    • Responsible for all phases of ongoing genomic – transcriptomic research projects including, but not limited to: discussions with senior investigators as to the concepts, methodologies, and overall goals, conducts searches to locate the most relevant literature pertinent to the project to identify the most applicable methods. Keeps abreast of pertinent literature, extracts relevant details, and incorporates appropriate concepts and techniques into research activities and experiments. Maintains state-of-the-art knowledge of the research throughout the life of the project, reviewing available literature on new methods and techniques for potential application within the laboratory.
    • Assumes responsibility for the planning, development, implementation, and management of research project. Makes decisions as to the time and resources required to perform experiments and establishes plans and schedules and periodically evaluates progress of experiments to ensure that they are proceeding as planned.
    • Critically analyzes results of experiments to determine whether data generated is accurate and valid. Compares results with those obtained from previous related studies to verify the validity of data. Identifies unusual or unexpected results and their probable causes and recommends re-running experiments or modifying them as necessary.
    • Maintains complete, detailed and clear records of all experiments performed. Records each experiment describing methods and procedures used and including summaries of data obtained and descriptions of any problems or unusual situations encountered in carrying out the experiment.
    • Carries out a variety of sophisticated methods for analyses of genomic – transcriptomic data, including, but not limited to: genomic, exomic and transcriptomic analyses; microarray expression; candidate gene analysis. Interprets findings and summarizes conclusions. Assists the investigator in interpretation of data and in the preparation of data in final form for publication in scientific journals.
    • Serves as a key member of the research team and ultimately as author on manuscripts reporting the results of these projects. May also present results of work at national and international conferences and meetings. Attends conferences, meetings, and lectures on subjects relevant to the research program.
    • Coordinates the training of new members of the research team when appropriate in the execution of genetic research studies. Oversees the work of students or other less experienced research team members, providing training and guidance in a range of analytical methods.
    • Maintains an up-to-date knowledge of current research and new methodological developments in the broadly defined area of research. Reviews scientific journals, abstracts, and industry reports relating to the field. Reviews available literature on new methods and techniques for potential application in the section, incorporating appropriate concepts and techniques into the research program.

    REQUIREMENTS

    • Master's degree in Bioinformatics – Computational Biologist or other related scientific discipline
    • Minimum of two (2) years of experience in the generation and analysis of genomic and transcriptomic data
    • Exemplary technical and analytical skills and foundation of biological concepts, theories, principles and practices
    • Advanced computer knowledge and experience
    • Ability to maintain accurate records of experimental results and write preliminary drafts of reports

    HOW TO APPLY

    Please send cover letter and resume to elisa[at]mscweb.com

    POLICY

    Medical Science & Computing 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, or protected Veteran status.
    Submit Archive Subscribe

     

    Copyright © 2016 · Scilico, LLC