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    BACKGROUND

    We are recruiting a computational postdoc who wants to pursue groundbreaking research on digital medicine, combining a strong background in machine learning with cutting-edge technologies such as single-cell sequencing, wearable devices, ubiquitous sensors, and augmented reality, and a keen interest in biomedical applications.

    Our group is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, on the campus of one of the world's largest hospitals and medical schools. We combine a strong background in computational methods with the expertise, collaborations, and funding to pioneer the use of advanced digital technology in biotechnology and personalized medicine.

    The successful candidate will develop and apply advanced machine learning technology (e.g., deep neural networks, kernel methods, non-linear regression, and/or causal modeling) in order to discover fundamental mechanisms of biology and medicine and to advance personalized medicine. Potential applications may include (but are not limited to) single-cell sequencing of cancer, 3D reconstruction of tumors and epigenetic landscapes, mobile health technology for patients with brain cancer, and pattern discovery in heterogeneous biomedical datasets. Our location on one of the largest medical campuses in Europe ensures direct relevance to medicine, while our close collaboration with the Max Planck Institute for Informatics (Germany) provides first-hand access to a cutting-edge computer science environment.

    REQUIREMENTS

    We are looking for highly motivated and academically outstanding candidates who want to pursue a career in machine learning research and its applications in biology and medicine. Candidate should have a strong background in the quantitative sciences (computer science, bioinformatics, statistics, mathematics physics, engineering, etc.). We will also consider applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing computational projects with a major machine learning component.

    LOCALE

    Vienna, Austria

    HOW TO APPLY

    Please apply online (cemm.jobbase.io/job/2ikdvm1m) with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis.

    DEADLINE

    Any application received by 31 August 2017 will be considered. Start dates are very flexible.

    BACKGROUND

    Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us.

    Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you'll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

    REQUIREMENTS

    BioProcesss Development is seeking a highly motivated and experienced scientist in the Cell Line Development group to help develop and characterize early and late stage mammalian commercial cell lines to support innovative biological pipeline projects. The successful candidate should have an in-depth understanding of cell biology, molecular genetics and working experience with next generation sequencing data using common NGS tools and integrating complex 'omics data. Candidate must have experience in executing complex study designs requiring highly organized data collection and management. The selected candidate will be expected to work independently, including proactive planning, trouble shooting and successful execution of complex experimental protocols for cell line development and technology assessment. The selected candidate will be developed to serve as a technical lead and functional area representative on project teams.

    Qualifications:
    Education:
    • PhD in Molecular Biology, Genetics, Biochemistry, or related Biological Sciences with a minimum of 4 years of post-doctoral experience in industry and or academia or MS degree in Molecular Biology, Biochemistry, or related Biological Sciences with at least 8 years of cell culture related experience
    Required:
    • Experienced in Next Generation Sequencing and current NGS data analysis tools
    • Experienced in pathway analysis of transcriptome profile with common analysis tools
    • Experience in mammalian cell culture
    Preferred:
    • Experienced in chromosome spreading and FISH techniques
    • Deep knowledge of DNA vector design and construction
    • Experienced in genome editing with mammalian cells
    • Experience of database and statistical software (e.g. Excel, Access, JMP)
    • Familiar with method of cell count, cell viability measurement, ELISA and FACS staining
    • Demonstrated hands on expertise of automation and high throughput screening; analysis and interpretation data
    • Candidate has experience in handling large number of sample preparation and analysis and generating reports
    • Experience in equipment programming and maintenance including liquid handlers and small scale column chromatography, i.e. Tecan, FACS Aria and Waters UPLC
    • Excellent oral and written communication skills
    • Strong communication and interpersonal skills to work in team environment
    • Excellent project leadership skills in driving for results and innovation

    LOCALE

    Kenilworth, NJ

    COMPENSATION

    Our employees are the key to our company's success. We demonstrate our commitment to our employees by offering a competitive and valuable rewards program. Our Company's benefits are designed to support the wide range of goals, needs and lifestyles of our employees, and many of the people that matter the most in their lives. If you need an accommodation for the application process please email us at staffingaadar[at]merck.com.

    HOW TO APPLY

    To be considered for this position, please visit our career site at merck.com/careers, search jobs, create a profile and submit your resume for requisition # PRE000571 to:

    merck.taleo.net/care[...]05:00

    POLICY

    Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of its manifestations.

    For more information about personal rights under Equal Employment Opportunity, visit:
    EEOC Poster (www1.eeoc.gov/empl[...]r.pdf)
    EEOC GINA Supplement (www1.eeoc.gov/empl[...]t.pdf)

    PI98656290

    BACKGROUND

    The Company:
    Intomics, located in Copenhagen, is a leading company in discovering biology and disease mechanisms from biomedical big data. Through innovative analyses and better use of data, Intomics helps clients in the pharmaceutical industry develop tomorrow's medicines better, faster, and cheaper. Intomics is growing rapidly and we are therefore expanding our team of project managers.

    RESPONSIBILITIES

    As senior bioinformatics project manager you will be responsible for ongoing bioinformatics projects, as well as developing customer relationships. You will be working closely with our Global Scientific Director, but will be personally responsible for the projects that you are handling.

    Your main responsibility will be to scope, manage and coordinate projects as well as to be the central point of contact between clients and our in-house team of bioinformatics experts. An important aspect is to facilitate clear communication between people with very different backgrounds (biologists, clinical researchers, bio-statisticians, R&D management etc.) and our highly specialized team of experts.

    You will be reporting to our Global Scientific Director, and there will be traveling activities (30-40 days annually), including support of our US activities.

    REQUIREMENTS

    You have a PhD in bioinformatics or similar, relevant scientific field and 5+ years of experience in managing bioinformatics projects. A solid understanding of the biological insights that bioinformatics and systems biology approaches can reveal is essential. Hands-on experience with bioinformatics, programming, and a deep knowledge of molecular biology will be a plus, but we don't expect you to cover all areas of expertise.

    PREFERENCES

    The preferred candidate possesses the following qualities:
    • Strong project management and communication skills
    • Solid understanding of bioinformatics and Systems Biology
    • Experience with managing projects in an industry setting
    • Positive, committed and energetic
    • Able to work efficiently in a busy, dynamic and global environment
    • Able to communicate in English at a high level, both orally and in writing

    TERMS & COMPENSATION

    The salary package will reflect the skill level and experience of the right candidate.

    HOW TO APPLY

    Please send your motivated application, CV and references (in pdf-format) to applications[at]intomics.com with "Application-4382 Senior bioinformatics project manager" in the subject field no later than August 14th, 2017. Applications will be considered on a continuous basis.

    DEADLINE

    August 14th, 2017. Applications will be considered on a continuous basis.

    POLICY

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

    Enquiries about the position can be made to Global Scientific Director, Rasmus Wernersson, or CEO, Thomas Skøt Jensen, tel: +45 88807979.

    Read more about intomics at www.intomics.com.

    BACKGROUND

    Company Information: Located within the Texas Medical Center in Houston, Texas, The University of Texas MD Anderson Cancer Center is one of the world's most respected centers devoted exclusively to cancer patient care, research, education and prevention. MD Anderson Cancer Center is the largest freestanding cancer center in the world, and features the latest equipment and facilities to support personalized outpatient and inpatient care, and cancer research, prevention and education.
    Researchers at MD Anderson Cancer Center have developed innovative procedures that have changed cancer care throughout the world in the areas of targeted therapy, immunologic therapy, combination therapy, chemotherapy, radiation therapy, and limb-sparing cancer surgery. Our cancer clinical trial program is the largest in the nation. The multidisciplinary approach to cancer research and treatment was pioneered at our institution. The quantitative experts in the Department of Bioinformatics and Computational Biology are an integral part of cancer research at MD Anderson and work on teams with cancer biologists, computational biologists, biostatisticians, software engineers, and other medical professionals.

    Together, we provide an extremely stimulating environment for high impact, creative research dedicated to scientific progress but also to the welfare of cancer patients and their families.

    Web Site: www.mdanderson.org/rese[...].html

    RESPONSIBILITIES

    Duties & Responsibilities: The Department of Bioinformatics and Computational Biology at The University of Texas MD Anderson Cancer Center has an open position for a Research Statistical Analyst to work in computational statistics and statistical modeling with applications in bioinformatics. The primary function will be performing statistical analyses of high throughput genomic and proteomics data.

    REQUIREMENTS

    Position Qualifications: We seek a highly motivated individual with a M.S. or Ph.D. in statistics/biostatistics/computer science or a related quantitative field. Candidates must have strong methodology training in statistics/biostatistics and strong programming skills, in particular R in addition to analysis experience. Experience and skills with large data sets, particularly in high dimensional "omics" data are desirable.

    LOCALE

    As the 4th largest city and often referred to as one of the most diverse cities in the United States, Houston offers numerous opportunities for cultural enrichment, entertainment, great dining, continuing higher education, and year-round recreation. Houston features great neighborhoods, a reasonable cost of living, and a variety of lifestyle choices.

    COMPENSATION

    Salary Range: Highly competitive and commensurate with experience

    Benefits: Highly competitive

    HOW TO APPLY

    Application Address:
    Send a letter of interest, resume or CV and 3 letters of reference (include contact information for references) to: dqs-stat-job[at]mdanderson.org

    If by postal mail, send to:
    Search Committee for Statistical Analysts and Bioanalysts
    Division of Quantitative Sciences - Unit 1409,
    The University of Texas MD Anderson Cancer Center,
    P. O. Box 301402, Houston TX 77230-1402

    Fax: 713-563-4243 (no phone calls please)
    Contact Email: dqs-stat-job[at]mdanderson.org

    DEADLINE

    Open until filled

    POLICY

    It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity/expression, disability, veteran status, genetic information or any other basis protected by MD Anderson policy or by federal, state or local laws, unless such distinction is required by law. All positions at MD Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. MD Anderson Cancer Center provides a smoke-free and drug-free environment.

    BACKGROUND

    The Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk), an Institute of The University of Manchester (www.manchester.ac.uk), is a world-leading centre for excellence in cancer research. The Institute is core funded by Cancer Research UK (www.cancerresearchuk.org), the largest independent cancer research organisation in the world. We are adjacent to The Christie NHS Foundation Trust (www.christie.nhs.uk), one of the largest cancer treatment centres in Europe. These factors combine to provide an exceptional environment in which to pursue basic, translational and clinical research programmes.

    Our aim is to understand the fundamental basis of cancer and apply that knowledge to developing new treatment strategies for cancer patients. Together with Queen's University Belfast, we have recently been awarded a Movember Centre of Excellence for prostate cancer research.

    RESPONSIBILITIES

    We are looking for a highly motivated computational biologist to join the Computational Biology Support Team. The successful candidate will work collaboratively with members of the Prostate Cancer UK Movember Centre of Excellence as well as research groups within Cancer Research UK Manchester Institute (CRUK MI) to address novel questions at the interface between state-of-the-art technology and cancer biology.

    The successful candidate will work with a range of high-throughput genomics, transcriptomics and proteomics data generated by our on-site facilities, including RNA-seq, smallRNA-seq, ChIP-seq, exome, targeted and whole-genome sequencing. The post holder is expected to be competent in the analysis of multi-dimensional genomics data from large-scale studies such as those from The Cancer Genome Atlas (TCGA). Experience in applying multivariate statistics for the identification of key drivers leading to cancer progression or drug resistance by integrating multi `omics" datasets is highly desirable.

    REQUIREMENTS

    The successful applicant should have a PhD in Computational Biology/Bioinformatics, Mathematics, Computer Science (or relevant discipline) or a relevant postgraduate degree in Computer Science or Physics and have significant expertise in the analysis of deep sequencing datasets. Excellent communication skills and the ability to work effectively within a highly collaborative environment are also critical.

    TERMS

    Duration of contract: Fixed term until 30th June 2019

    COMPENSATION

    Salary in the range of £30,100 - £49,100 dependent upon experience

    HOW TO APPLY

    For informal enquiries please contact Dr Hui Sun Leong, Head of the Computational Biology Support Team via email: HuiSun.Leong[at]cruk.manchester.ac.uk

    To apply for this position please visit our website: www.cruk.manchester.ac.uk

    For applicants who are unable to download this information from our website, please contact HR department on 0161 306 0840, email: jobs[at]cruk.manchester.ac.uk to have this information sent by post.

    Job Ref: MI/17/33

    DEADLINE

    Closing date: 8 August 2017

    Submitter

    BACKGROUND

    The Hon laboratory at UT Southwestern is actively seeking highly motivated postdoctoral scholars with a keen interest in gene regulation, and particularly in developing massively parallel single-cell and genome editing approaches to understand and engineer cellular circuits.

    REQUIREMENTS

    Candidates must hold a Ph.D. and/or M.D. degree. We are seeking new colleagues with diverse training experiences, and we are especially excited about individuals with experience in:
    1. Single-cell and regulatory genomics
    2. Statistical and machine learning
    3. Mammalian gene regulation

    PREFERENCES

    Ideals: We especially value creative, energetic, and fearless individuals. Crazy ideas are a plus. We firmly believe that the modern biologist must be adept at experimentation as well as computation, and we are committed to training these scientists to succeed as future independent investigators.

    HOW TO APPLY

    Interested individuals should send a CV, statement of interests, and a list of three references to: Gary.Hon[at]utsouthwestern.edu

    More information: honlab.org

    Submitter

    BACKGROUND

    The Center for Pediatric Cancer Systems Biology at the University of Texas Southwestern Medical School (UTSW) will use a systems biology approach to address fundamental questions on the metastatic cascade in Ewing sarcoma, as paradigm for pediatric cancer. This center brings together experts in the fields of pediatric oncology, pathology, genetic model organisms, single-cell genomics, quantitative live-cell imaging and systems biology to remove the technical barriers to understanding the metastatic cascade within pediatric cancers.

    REQUIREMENTS

    We are seeking applicants for an integrated and dynamic postdoctoral training program to develop new paradigms in single-cell cancer functional genomics. Specifically, we are seeking individuals with significant experience in genomics and bioinformatics, particularly statistical modeling and machine learning. We especially value motivated, creative, adventurous, and collaborative individuals. Also, we firmly believe that the modern biologist should be adept at experimentation as well as computation, and we are committed to training these scientists to succeed as future independent investigators.

    HOW TO APPLY

    To apply, please submit a CV, a brief statement of interests / accomplishments, and a list of references to Gary.Hon[at]utsouthwestern.edu and Yang.Xie[at]UTSouthwestern.edu.

    RESPONSIBILITIES

    Primary Purpose of Job:
    As a member of Data Science team in Roche pRED (Pharma Research and Early Development) Informatics, you will partner with research scientists and data experts at Roche Innovation Center Shanghai on drug discovery from the target identification phase all the way to the early development phases. You will employ a combination of analytical capabilities, bioinformatics skills, and disease biology knowledge (especially in the immunology therapeutic area) to provide timely data analysis to impact decision making in drug discovery.

    Key Responsibilities:
    • Work collaboratively with scientists from Inflammation and Immunology Discovery, Infectious Disease Discovery, Chemical Biology, Medicinal Chemistry, and other scientific functions on drug discovery activities including target identification, target validation, and biomarker discovery, etc.
    • Support drug project teams in understanding the roles of a given target in particular diseases.
    • Enhance understanding of autoimmune diseases of unmet medical needs and propose new targets.
    • Analyse the genetic variants associated with autoimmune diseases, especially those mutations in the non-coding regions.
    • Support drug project teams in identifying targets of phenotypic screening hits.
    • Support drug project teams in identifying target-specific biomarkers for patient stratification.
    • Have the opportunities to apply deep learning to data analysis.
    • Team up with bioinformaticians, cheminformaticians, and information scientists in Data Science to propose and deliver integrated informatics solutions to drug projects.
    • Collaborate extensively with data scientists and informaticians at other Roche sites to contribute to both local and global drug projects as well as informatics projects.
    • Play an important role in shaping the strategy of Data Science in the area of immunomics and supporting its implementation.

    REQUIREMENTS

    Education/Qualifications:
    • Ph.D. in Computational Biology, Bioinformatics, or a related discipline
    Job Required Competencies:
    • Experience analyzing ChIP-Seq, RNA-seq, Hi-C, and GWAS data
    • Extensive experience in analyzing ENCODE and Roadmap Epigenomics data sets
    • Experience collaborating with biologists and/or project teams
    • Excellent communication skills in both English and Chinese
    • Strong analytical capabilities, demonstrated by the identification of key biological questions and the application or development of innovative computational solutions
    • Passion for utilizing analytical capabilities and biology knowledge for drug discovery
    • Self-motivated and proactive

    PREFERENCES

    Job Desired Additional Competencies:
    • In-depth understanding of the human innate and adaptive immune systems
    • 3+ years of recent experience in applying bioinformatics to studying immunological disorders, preferably autoimmune diseases

    LOCALE

    Roche Innovation Center Shanghai
    China, Shanghai, Shanghai

    HOW TO APPLY

    Please visit: www.roche.com/care[...]ogist

    BACKGROUND

    MULTIPLE POSTDOC POSITIONS are available immediately in the lab of Dr. Jeffrey Chang (changlab.uth.tmc.edu) at the University of Texas Health Science Center at Houston (UTHealth) in the field of cancer genomics. We are seeking postdoctoral researchers to work with a multi-disciplinary team in a creative and collaborative environment consisting of computational and lab biologists, as well as physicians, to develop computational approaches to understand the progression and metastasis of breast and ovarian cancers from unique clinical samples. The successful applicant will have experience in working with next generation sequencing data (e.g. somatic variants, gene expression, copy number) to dissect the molecular drivers of the disease.

    REQUIREMENTS

    To join our group, we are looking for highly motivated individuals that have demonstrated scientific productivity, excellent communication skills, and the capacity to conduct independent research. We are interested in applicants with a Ph.D. in Bioinformatics, Computer Science, Statistics, or comparable experience.

    PREFERENCES

    Experience with single cell analysis is a plus.

    LOCALE

    UTHealth is located at the heart of the Texas Medical Center in Houston, Texas. Houston is America's fourth largest and most diverse city, with a rich and vibrant culture and history, and an exploding culinary scene!

    COMPENSATION

    Salary will follow NIH and university guidelines.

    HOW TO APPLY

    Please send a CV, a brief statement of research interests, and contact information for three references to Dr. Jeffrey Chang (jeffrey.t.chang[at]uth.tmc.edu). IMPORTANT: please include the words "Cancer Genomics Postdoc" in the subject line of the email.

    POLICY

    UTHealth is an EEO/AA employer. UTHealth does not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or any other basis prohibited by law. EOE/M/D/F/V.

    BACKGROUND

    A POSTDOCTORAL FELLOW position is currently open in Dr. Claire Fraser's laboratory at the Institute for Genome Sciences (IGS). The IGS at the University of Maryland, School of Medicine (UMSOM) is an interdisciplinary, multi-departmental team of collaborative investigators with a broad research program related to the genomics of infectious disease agents, human microbial metagenomics, human genomics, and bioinformatics. The impact of the members of IGS on the field of genomics has been substantial, with more than 500 publications during the past 15 years that have been cited more than 30,000 times.

    RESPONSIBILITIES

    We are looking for a post-doctoral fellow to participate in a project to study the impact of e-cigarettes on the oral microbiota. The post-doctoral fellow on this project will characterize the longitudinal structure and function of the gut microbiota in e-cigarette users compared to control subjects and identify associations between clinical outcomes and changes in the microbiota. The post-doctoral fellow will also have the opportunity to be involved in other laboratory projects on the microbiota as time permits.

    The successful candidate will benefit from a community of interactive research labs, bioinformatics programmers, and a variety of sequencing, and computational resources available at the Institute for Genome Sciences as well as a wide range of basic and translational research within the University of Maryland, School of Medicine.

    REQUIREMENTS

    We are looking for highly motivated candidates with a PhD in the life sciences, demonstrated experience in genomics or bioinformatics, excellent communication skills, both oral and written, and enthusiasm for scientific collaborations.

    HOW TO APPLY

    To apply, please send a CV, detailing your list of publications, a cover letter describing your experience and statement of research interests (1-2 pages), and contact information for two references to IGS-jobs[at]som.umaryland.edu

    DEADLINE

    Consideration of candidates will begin upon receipt of applications and will be accepted through August 1, 2017. Anticipated start date for the position is in the fall of 2017.

    POLICY

    AA/EOE/ADA

    BACKGROUND

    This position will provide bioanalytic, biostatistics, and bioinformatics support to ongoing molecular research and development projects. Guidance will be received from Principal Investigators on data analysis according to scientific merit, collect the raw data from technical staff, process and manipulate the data into a form amenable to analysis, perform limited interpretation, and furnish the tasking Principal Investigator with the raw data and analytical product.

    RESPONSIBILITIES

    • Collect, organize, curate, and store large amounts of raw data to facilitate completion of other tasks and provide other staff with open access to non-manipulated data.
    • Perform biostatistical analyses on datasets using Frequentist, Bayesian, and machine learning approaches appropriate for both the data and scientific question.
    • Develop and implement bioinformatics pipelines and analysis methodologies.
    • Write and implement computer algorithms, scripts, functions, and/or classes for analysis automation using Perl, Python, Java, MATLAB, or similar computer programming language.
    • Maintain and operate one or more Linux computer workstations to allow for development and use of first-, second-, and third-party-sourced software for both completion of related tasks and open access to other staff.
    • Train other staff members to operate pre-existing and newly-developed analysis methods as required for project completion.
    • Provide experimental design support and consultation from an analytics perspective on capabilities and potential outcomes before, during, and after an experiment conducted.
    • Assist Principal Investigators in preparation of standard operating procedures, technical reports, and manuscripts for publication.

    REQUIREMENTS

    1. BS degree with a minimum of eight years of experience or an MS degree with a minimum of four years of experience
    2. Must have experience analyzing large amounts of data from molecular research and development projects
    3. Must have experience biostatistical analyses
    4. Must have experience in bioinformatics
    5. Must have experience in writing and implementing computer algorithms, scripts, and functions
    6. Must be a US Citizen

    LOCALE

    Frederick, MD

    HOW TO APPLY

    Please visit recruiting.ultipro.com/CLI1[...]6ca07

    DESCRIPTION

    The Center for Systems Biology Dresden (www.csbdresden.de) calls for applications for ELBE postdoctoral fellowships in the fields of Bioinformatics and Computational Biology.

    ELBE fellows are fully funded for a duration of 1-3 years. The ELBE postdoc program fosters cross-disciplinary projects and provides an ideal springboard to an independent research career. Candidates should have a background in computer science, bioinformatics, or (applied) mathematics and a strong interest to work in a multi-disciplinary environment on Biological Sequence Analysis, Bioimage Informatics, Computer Simulation of biological systems, Comparative and Evolutionary Genomics, High-Performance Computing, or Network Biology.

    What we provide:
    The CSBD provides 1-3 year postdoc positions in an international and cross disciplinary research environment. ELBE fellows benefit from close collaborations with scientists at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), the Max Planck Institute for the Physics of Complex Systems (MPI-PKS), and the Technische Universität Dresden (TU Dresden) and from full access to state-of-the-art research facilities and infrastructure. ELBE fellows have the freedom to develop their own research questions. They obtain mentoring and support in their hosting groups. ELBE fellows may choose the research groups to be affiliated with. To foster collaboration, ELBE fellows are usually affiliated with two hosting groups working in different disciplines

    What we seek:
    We seek outstanding young researchers with a doctoral degree in computer science, mathematics, or bioinformatics and a strong commitment to work in a cross-disciplinary environment with biologists, computer scientists, and physicists.

    HOW TO APPLY

    For details about the application procedure, please visit our website www.csbdresden.de/educ[...]jobs/ Selection of ELBE Fellows is highly competitive with two application cycles per year. Short-listed candidates are invited to on-site interviews with travel costs covered by the CSBD. Deadline for applications is September 1, 2017.

    POLICY

    The Max Planck Society is an equal opportunity employer: handicapped individuals are strongly encouraged to apply. The Center for Systems Biology, the MPI-CBG and the MPI-PKS aim to increase the number of women in scientific positions. Female candidates are therefore particularly welcome.

    BACKGROUND

    DuPont has a rich history of scientific discovery that has enabled countless innovations and today, we're looking for more people, in more places, to collaborate with us to make life the best that it can be.

    DuPont Pioneer is seeking a Research Scientist-Bioinformatics in the Data Science and Informatics group. This position will drive research that connects multiple levels of data across genomics, epigenetics, chromatin structure, and gene expression. The successful candidate will work closely with scientists and software developers from across research departments to conduct novel experiments and develop business processes, particularly for Pioneer's industry leading genome editing pipeline (crisprcas.pioneer.com).

    The successful candidate will have an extensive background and track record in computational and applied genomic analyses, and proven record for completing complex and in-depth analytics. Individuals who have a deep understanding and passion for genomic investigation are encouraged to apply: we are looking for those creative, smart, driven individuals who enjoy tackling tough analytics problems.

    RESPONSIBILITIES

    • Conducts computational biology analyses around genome associated data, including, but not limited to, genomic assembly, comparative genomics, DNA structural assessment, and associated genomic phenotypes
    • Drive research to identify patterns pertaining to regulatory networks and dissecting the dark matter of Pioneer's crop genomes.
    • Work collaboratively across all of R&D to produce bioinformatic processes to advance genome science. Communication and team work are key elements of this role.
    • Assist in the development and evaluation of novel computational biology and bioinformatics techniques targeted towards improved regulatory network determination.
    • Interact with teams of researchers to digest and summarize large amounts of data, interpret scientific results, and communicate scientific findings in a clear and concise manner.
    • Make scientific evaluations, recommendations, and routine communications to scientists regarding the performance and utility of advanced computational techniques that integrate biological, physiological, environment, phenotypic and genomic data.
    • Identify, design, develop and help implement data analysis tools to meet project goals and timelines, communicate key issues and discoveries appropriately.

    REQUIREMENTS

    • Minimum: PhD in computational biology, bioinformatics, computer science, statistics or a related field, and more than 4 years of postgraduate experience (Postdoctoral years may count)
    • Expertise in next-generation sequence analysis
    • Competency in programming Python scripts, statistical languages such as R, and Linux high-performance computing is required; proficiency in scientific programming languages such as C is a plus.
    • Good understanding of genomics technologies, as evidenced by strong publication record
    • Demonstrated ability to work in dynamic scientific teams, and demonstrated ability to contribute to complex research projects performed under tight deadlines
    • Demonstrated ability to quantitatively evaluate and analyze complex scientific problems, interpret scientific results, and work easily with large volumes of data

    LOCALE

    Johnston, IA

    HOW TO APPLY

    Apply online at: careers.dupont.com/jobs[...]4078/

    DEADLINE

    September 3, 2017

    RESPONSIBILITIES

    The Software Engineer III conducts and/or supports development of software tools for both internal and/ or external (e.g., customer) use. The software development will directly support basic science of nucleic acids and nucleic acid biochemistry and will assists with development and characterization of new IDT products. This position develops solutions and supports fellow Bioinformatics staff developing software for new products at IDT.
    • Designs and manages the computing infrastructure, tools and methodology used by the Bioinformatics team
    • Coordinates with IDT Enterprise I.S. staff regarding computing infrastructure planning, purchases and configuration
    • Provides recommendations to Bioinformatics staff regarding architectural and development tool decisions
    • Troubleshoots issues related to open-source Linux services
    • Develops software tools required for execution of assigned work, with minimal oversight
    • Analyzes experimental data, report results and plan the next steps
    • Organizes and manages moderately complex projects
    • Utilizes and integrates existing software packages into IDT's suite of bioinformatics solutions
    • Maintains clean, documented code supported with appropriate unit and integration tests
    • Executes plans for coordinating the integration of software from multiple projects into a production-level suite of software tools
    • Interacts with and assists other members of the R&D team as needed to meet research objectives
    • Oversees activities and assists with training of more junior research personnel as directed
    • Presents experimental results, data analysis or software summaries at group meetings as directed
    • Demonstrates behavior consistent with the Integrated DNA Technologies Core Values
    • Performs other duties as assigned

    REQUIREMENTS

    Education:
    • Bachelor's degree (in Engineering or other related field) with six or more years previous experience in bioinformatics, software engineering, or Linux administration required
    • Master's degree (in Bioinformatics, Computer Science or a related life sciences field) with 4 or more years previous experience in bioinformatics, software engineering, molecular biology, genetics or other scientific discipline preferred
    • Doctorate degree (in Bioinformatics, Computer Science or a related life sciences field) preferred
    Professional Experience:
    • Proficiency in a variety of PC software programs with strong working knowledge of Microsoft Office required
    • Proficiency in at least one listed language (Python, C++, JVM hosted languages) required
    • Proficiency in test-driven development techniques and other components essential to professional software development required
    • Proficiency in Linux systems for scientific/engineering disciplines preferred
    • Previous experience with HPC schedulers and distributed filesystems preferred
    • Broad knowledge of IDT products and product lines preferred
    • Proven track-record in automating IT processes via CI/CD jobs required
    • Experience with previous and current generation HPC tools required
    • Experience with cloud computing, in particular AWS required
    • Familiarity with best practices in software engineering workflows for small to medium size teams required
    Required Skills:
    • Proficiency in configuration management/ orchestration tools required
    • Proficiency with distributed version control tools required
    • Proficiency with containerized app preferred
    • Proficiency with Linux required
    Other Knowledge, Skills, and Abilities:
    • Ability to train others in basic software techniques and equipment operation
    • Strong organizational skills and attention to detail
    • Ability to multitask and maintain several projects at one time
    • Good verbal and written communication skills
    • Ability to communicate with peers and all levels of management
    • Ability to perform a variety of duties, often changing from one task to another without loss of efficiency or composure
    • Ability to maintain both a high standard of courtesy and cooperation in dealing with co-workers
    • Ability to accept responsibility for the direction, control or planning of an activity
    • Adaptability to situations requiring the precise attainment of set limits, tolerances or standards
    • Ability to perform repetitive work or to perform continuously the same work, according to set procedures sequence or pace
    Travel Requirements:
    • Seldom travel (Up to 5% of time) required

    TERMS

    Shift/Schedule: M-F 40 Hour Week (United States of America)

    LOCALE

    Job Locations US - IA - Coralville

    HOW TO APPLY

    Apply Here: www.Click2apply.net/6bnzbwc63yypb6pw

    ID: 2017-3236
    Category: Research & Development
    Number of Openings: 1
    Posted Date: 4/7/2017

    PI98505011

    POLICY

    Integrated DNA Technologies is an equal employment and affirmative action employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply.

    BACKGROUND

    We are seeking a motivated and enthusiastic computational biologist to join the research group of Dr Adam Mead. Funded by the Medical Research Council (MRC) and John Fell Fund, the position is initially available fixed-term for 2 years. You will be involved with developing new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets and will lead a project focused on single-cell analysis of haematopoietic stem and progenitor cells. Working within the MRC WIMM Computational Centre for Biology you will interact closely with Dr David Sims who leads CGAT.

    The Mead laboratory is located in the excellent environment of the MRC Weatherall Institute of Molecular Medicine, which has a world-renowned scientific environment and outstanding core facilities and equipment, including a dedicated single-cell genomics facility. Our research programme is focused on using single-cell approaches to understand how the normal cellular and molecular pathways in haematopoiesis are perturbed in myeloid leukaemias and in pre-leukaemic conditions e.g. Giustacchini et al Nature Medicine, 2017. For further information on Dr Mead's research group and the Institute please see: www.imm.ox.ac.uk/home.

    RESPONSIBILITIES

    A full job description is available from www.recruit.ox.ac.uk/pls/[...]29779

    REQUIREMENTS

    You will hold a PhD or MSc in statistics, computational biology or a similar scientific subject, with post-qualification research experience. Experience in the analysis of high dimensional datasets and demonstrable skills/track record in statistics are essential. You will also have experience of working in a UNIX/LINUX environment and programming in Perl or Python.

    LOCALE

    Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford, United Kingdom

    COMPENSATION

    Grade 8: £39,324 - £46,924 p.a.

    HOW TO APPLY

    Applications for this vacancy are to be made online (www.recruit.ox.ac.uk/pls/[...]29779). You will be required to upload a CV and supporting statement as part of your online application.

    DEADLINE

    The closing date for this position is 12.00 noon on 2 August 2017. Interviews will be carried out on Monday 21 August 2017.
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