Postdoctoral Research Fellow in Computational Biology at SciLifeLab Sweden

KTH is the largest technical university in Sweden. Education and research cover a broad spectrum within natural sciences and engineering, as well as architecture, industrial engineering and management, urban planning, work science and environmental engineering. KTH has 15000 under-graduate students, 1600 students at doctoral level (third) level and 4300 employees.

The School of Biotechnology at the Royal Institute of Technology offers a curriculum that reflects the multidisciplinary nature of Biotechnology, integrating theoretical and applied science in undergraduate and graduate courses. The school has six departments with about 300 employees, located at AlbaNova University Center, Stockholm and Science for Life Laboratory, Solna. The biotechnology research within the school is internationally well recognized.

About Science for Life Laboratory

SciLifeLab is a national resource center dedicated to large scale bioscientific research with focus on biomedicine, including genome and proteome profiling, bioimaging and bioinformatics. SciLifeLab Stockholm has been formed jointly by the three Stockholm universities, Royal Institute of Technology (KTH), Karolinska Institutet (KI) and Stockholm University (SU), and thus combines the profiles and strengths of these three institutions. Academic research as well as the Swedish health care system and the Swedish Life Science industry will benefit through active collaboration, access to advanced tools and active programs for knowledge transfer. The goal is to achieve critical mass for large-scale life sciences and translational medicine.

Our vision is to make SciLifeLab into a center for large-scale life sciences with an advanced technological infrastructure. The focus is on performing multidisciplinary research involving high throughput DNA sequencing, analysis of gene expression, protein profiling, cellular profiling, advanced bioinformatics, biostatistics and systems biology. SciLifeLab is aimed at enabling researchers to carry out extensive and comprehensive analysis of genes, transcripts and proteins in humans and relevant microbes, such as viruses and bacteria, and to cast light on the complex interplay between different molecular components in living cells, tissues and organs related to human diseases.

Job description

A postdoctoral positions is available in the group of Statististical Biotechnology at Science for Life Laboratory (SciLifeLab) at the Royal Institute of Technology in Stockholm, Sweden. Our lab develops machine learning methods and statistical techniques for interpreting high-throughput experiments. We are looking for an enthusiastic and talented postdoctoral researcher to join our team. The postdoctoral position will involve interpretation of high-throughput biology data by machine learning and statistics. Depending on the interest of the applicant the position may be centered around either (1) Time-series analysis for meta-genomics data (2) Promoter analysis of DNA-methylation data from Type 2 Diabetes patients, or (3) Interpretation of mass spectrometry data.

The successful candidate will have a PhD in statistics, computer science, bioinformatics or related field with a strong quantitative component. Experience with machine learning techniques, GPU programming, and/or the handling large datasets is desirable.

Application

Application should be e-mailed to: rekr@biotech.kth.se

Deadline for application: 2013-11-01
Reference number: B-2013-0328

The application must include following documents:

a letter stating your research experience and interests,
a curriculum vitae including list of publications, and
name and contact information for yourself and two or three references.
Employment

Form of employment: Time-limited
Scope: Full-time
Salary: Salary is available as a one year scholarship with the possibility of renewal.
Start date: Negotiable
Announced positions: 1

Contact

Lukas Käll Associate professor
E-mail: Lukas.Kall@scilifelab.se

Union Representative

Lars Abrahamsson, SACO
Phone: +46 8-790 70 58
E-mail: lars.abrahamsson@ee.kth.se

http://www.kth.se/en/om/work-at-kth/vacancies/postdoctoral-research-fellow-in-computational-biology-at-scilifelab-stockholm-sweden-1.417129

Post-doctoral position in computational biology 2013, United States

A post-doctoral position is available in the group of Prof. Gaurav Pandey (http://www.mountsinai.org/profiles/gaurav-pandey) at the Mount Sinai School of Medicine in New York City. The group focuses on developing and applying machine learning methods to build network and predictive models of biological processes from large genomic data sets. Some of the specific areas my group is currently focusing on are the modeling of the immune response system, prediction of breast cancer phenotypes, and the discovery of novel therapeutics, especially synergistic drug pairs. These are important but quite difficult problems that need constant computational innovations, thus making the problems very interesting from a computer science perspective as well.

Our group is a part of the newly formed Institute of Genomics and Multiscale Biology (http://multiscale.mssm.edu) at Mt Sinai. The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (for biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze very large genomic data sets to build accurate predictive models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer’s disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients’ bedside, thus placing the institute in a very unique position.

The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.

To apply
Candidates should have a recent PhD degree in a computationally-oriented field, and discipline and high motivation to pursue independent research in computational biology. Applicants are expected to have a solid background in programming and computational techniques, with a working knowledge of molecular biology and genetics. To apply, send a CV, a research statement and three reference letters to gaurav.pandey@mssm.edu. For More Info

Postdoctoral researcher position in Computational Systems Biology, Gemany

One postdoctoral researcher position (3+2 years) and one PhD student position (3 years) are available in theComputational Systems Biology group at Jacobs University Bremen for a project: 

Re-classification of chronic inflammatory diseases using network signatures derived from high-throughput data

Project Outline:
The evidence that network architecture determines aspects of biological function, both on the levels of gene regulation and metabolism, is incontrovertible. Furthermore, a wide range of abstract model studies has demonstrated that network architecture shapes dynamical processes.
Here we will analyze and interpret the diverse high-throughput data available for various aspects of chronic inflammatory disorders by contextualizing them within given biological networks.
Data will be provided by our collaborators on the clinical side (the Cluster of Excellence “Inflammation at Interfaces” in Kiel). 
The network methods established and applied here offer the possibility of identifying coherent patterns in transcriptome data and other high-throughput data sets. Put together with predictions of metabolic fluxes and with network- and flux-based microbiome modeling, these approaches will serve as a foundation for better classifying and interpreting patient subgroups, disease progressions and treatment responses.

For further information on the topic, see: 
Sonnenschein, N., Golib Dzib, J.F., Lesne, A., Boulkroun, S., Zennaro, M.-C., Benecke, A. and Hütt, M.-Th. (2012) A network perspective on metabolic inconsistency. BMC Systems Biology 6, 41.
Beber, M., Fretter, C., Jain, S., Sonnenschein, N., Müller-Hannemann, M. and Hütt, M.-Th. (2012) Artifacts in statistical analyses of network motifs: General framework and application to metabolic networks. Roy. Soc. Interface 7, 3426-3435.
Sonnenschein, N., Geertz, M., Muskhelishvili, G. and Hütt, M.-Th. (2011) Analog regulation of metabolic demand. BMC Systems Biology 5, 40.
Marr, C., Theis, F.J., Liebovitch, L.S. and Hütt, M.-Th. (2010) Patterns of subnet usage in the transcriptional regulatory network of Escherichia coli. PLoS Computational Biology 6, e1000836.


Candidates should have a background or strong interest in Computational Systems Biology, Bioinformatics or Statistical Physics of Complex Networks and solid programming skills (e.g., Matlab/Mathematica/C++/Python).


How to apply: 
Interested candidates are encouraged to submit a CV, contact details of two references and a short statement of research interest electronically to:

m.huett@jacobs-university.de


To be assured of full consideration, applications must arrive by August 18, 2013

Germany: Postdoctoral Scientist position in Bioinformatics/ Computational Biology/ Plant Genomics

The Max Planck Institute for Molecular Genetics is an international research institute with approximately
350 employees. A special focus lies on genome analysis of man and other organisms.

The Department “Vertebrate Genomics”, group “Comparative and Functional Genomics” (Head: Dr. Heinz Himmelbauer), invites applications for the following open position:

Postdoctoral Scientist (f/m)

Bioinformatics/Computational Biology/Plant Genomics

(TVöD E13)

Code: 13-12 L

Responsibilities:
The AnnoBeet project is funded by the German Ministry for Education and Research with the goal to analyse the genome sequence of the crop plant sugar beet (Beta vulgaris) with respect to structural variation and gene functions. The successful candidate will pursue projects related to genomic sequencing data. She/He will adapt existing tools or implement new software to assemble high-fidelity genome sequences from wild-derived and domesticated beets. Data are mainly from the Illumina sequencing platform but also from other technologies which enable the generation of long reads. Assembled genomes will be compared to related genomes to extract and interpret biologically relevant differences.

Qualifications:
We are looking for a scientist (PhD in bioinformatics or related field) with solid programming skills (ideally experience in developing sequence analysis tools), experience in handling (large) sequencing data sets, knowledge of molecular genetics and understanding of lab methods and also knowledge of genome sequencing concepts. Experience in analysis of Illumina sequencing data is an advantage.  

The group has successfully performed several projects using 454- and Illumina technologies. We recently completed a reference sequence for the sugar beet genome (http://bvseq.molgen.mpg.de). We are a multidisciplinary team and offer work in a lively and friendly atmosphere and state-of-the art computing infrastructure. We are looking forward to expanding our team by a dedicated and strongly motivated person with distinct interest in the challenges of modern sequencing technologies.

The position is initially available for one year. The working place will be at the Center for Genomic Regulation (http://www.crg.es) in Barcelona/Spain. It is located at the seafront close to the Olympic harbor and combines excellent science with an inspiring environment in the heart of Barcelona with its cultural attractions, beach and metropolitan flair. The employment contract will be concluded with the Max Planck Institute for Molecular Genetics in Berlin/Germany. The salary will be according to the German collective agreement for the public service (TVöD), depending on academic level and previous experience.

The  Max  Planck  Society  is  committed  to  employing  more  handicapped  individuals  and  especially encourages them to apply. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Send application to: 
For informal inquiries by e-mail, please contact Dr. Heinz Himmelbauer (himmelbauer@molgen.mpg.de). Applications including summary of Master's and PhD theses, publication list, and contact details for three references should be sent by August 16, 2013 via e-mail to:
 
job-1312@molgen.mpg.de

PostDoc Position in computational systems biology at Germany

We are looking for enthusiastic candidates for postdoctoral positions in reverse engineering as well as applying and developing methods for the analysis and integration of heterogeneous high-throughput data. These are required and to be applied to a portfolio of international research projects. The candidates will be involved in reverse engineering of regulatory networks of the corresponding target systems; and analysis and integration of large experimental datasets obtained from project collaborators using appropriate computational platform. These positions require extensive communication and collaboration with computational modelers, bioinformaticians, biologists, microbiologists, engineers, and clinicians.
 
Requirements
For these positions we request a solid background in computational biology and a good understanding of molecular biology. In addition, you are characterized by a high degree of independence and responsibility. Dedication, teamwork and persuasiveness complete your profile. Due to our international orientation, good knowledge of English is essential.
 
In particular:

• Knowledge in pattern recognition, machine learning, multivariate statistics and large-scale data mining;
• Experience in inference of the underlying regulatory networks of prokaryotes, yeast, algae, and/or mammalian cells using transcriptomics and proteomics data;
• Good programming skills (e.g. C, C++, Python, Perl, Matlab or equivalent) and experience with data integration platform development;
• Ability to collaborate independently with other project members to implement, develop, and refine relevant computational tools;
• Experience in doing research in a multi-disciplinary team;
• High interest in biological challenges and in combining different scientific disciplines to develop new insights and skills;
• Willingness to learn new skills to support other computational tasks when necessary;
• Willingness to travel to our European partners is prerequisite. Depending on your qualification a 2-4 week stay in the Netherlands may be required during the familiarization phase.  

 
Qualifications

• PhD degree in Computational Life Science, Bioinformatics, Physics or an equivalent discipline;
• Practical experience dealing with gene ontology, annotations notions, and public repositories of omics data;
• Extensive experience in C, C++, Python, Perl, or equivalent plus ability to work with other programming languages;
• Fluency in written and spoken English.

 
We offer 2 post-doc positions with an average working time of 40 hours per week for each position for a period of 2 years with possibility of extension. The payment will correspond to the fare of the public service depending on your qualification.

Please apply electronically with your CV, cover letter, and supporting information in a single document (max. 3MB). The application deadline is July10th, 2013.

info@lifeglimmer.com

Postdoctoral position in computational biology Korea

The Design Principles of Cellular Networks group at APCTP seeks for one postdoc who has strong interest in computational biology, particularly in cell-to-cell communication for biological functions. Details on our research can be found at https://www.apctp.org/jrg/blogindex.php?JrgId=13. The postdoctoral position is initially for two years with possible extensions.

Applicants should send (1) a curriculum vitae, (2) description of research interests, and (3) list of two references to Dr. Junghyo Jo (jojunghyo(at)apctp.org) by email. If you have any questions about the group or the position, please feel free to contact us.

https://www.apctp.org/jrg/blogindex.php?JrgId=13

Postdoc Position in Bioinformatics and Computational Biology 2013 USA

The Menden-Deuer and Rynearson labs at the University of Rhode Island invite applications for a Postdoctoral Research Associate in bioinformatics and computational biology. Candidates will be selected based on overallexcellence, including academic qualifications, letters of recommendation, and prior skills.

Project Overview:

This project aims to examine, quantify and understand gene expression in marine plankton. Plankton are single-celled eukaryotes that form the base of marine food webs and are therefore critical to the health and well-being of the world’s oceans. This project represents an opportunity for a talented and creative postdoctoral researcher to work with sequencing data from ecologically important organisms. There will be opportunities to develop new or utilize the most recent algorithms for transcriptome assembly and mapping, particularly because most plankton genomes have not yet been sequenced.

Datasets include Illumina sequencing of plankton transcriptomes from multiple species and experiments under different conditions. The successful candidate will lead the project on the de novo analysis of transcriptomic data, which includes setting up and/or using available computational pipelines for transcriptomic data processing, identifying novel ‘high-responder’ genes and statistical comparison of multiple single-cell transcriptomes. The first dataset is ready for analysis.

Responsibilities and Duties:

The postdoctoral associate will be primarily responsible for analysis of the high-throughput sequencing component of the project (transcriptome sequence data). Responsibilities also include dissemination of results in publications and presentations and a willingness to assist with proposal preparation. The individual will be required to contribute to the functioning of the lab, assist with graduate and undergraduate student mentoring and help to develop future research projects.

Appointment:

The position is for 12-months initially, commencing August or September 2013 and renewable depending on performance. The successful candidate will receive training in research collaboration, presentation and publication of results, and outreach and mentoring. There will be opportunities for development of additional research projects and proposals.

Qualifications:

Candidates are required to have a Ph.D. degree by August of 2013 in Computer Sciences, Statistics, Biology or a related field. Excellent command of the English language (written and verbal) and quantitative analytical skills are essential. Candidates should possess demonstrable experience with the analysis of high throughput sequencing data including strong programming skills. We prefer candidates who have an excellent background in statistics and data mining.

To Apply:

Applications must include (1) a maximum 3-page statement of experience, career goals, research vision and interests; (2) curriculum vitae, (3) reprints of relevant publications and (4) names and addresses of three referees willing to write confidential letters of recommendation.

All materials should be emailed as a single pdf document to:rynearson@mail.uri.edu with ‘PostDoc Application’ in the subject line.

Candidates will be selected based on overall excellence, including academic qualifications, letters of recommendation, and prior skills, experience, and research goals that are compatible with the goals of the funded research. The position is compensated through a competitive salary and excellent benefits package. Please email rynearson@mail.uri.edu with additional questions about the position.

Research will take place on the shores of Narragansett Bay, RI at the URI Graduate School of Oceanography. The labs are conveniently located along the eastern seaboard with easy access to Amtrak and major airports. The candidate will benefit from existing collaborations with researchers in computational biology both nationally and internationally.

Closing date: For full consideration, applications should be received by July 1, 2013.

 For More Information

Postdoc Position in Bioinformatics and Computational Biology USA 2013

We have an opening for a bioinformatics scientist to support development, regulatory, and discovery needs for infectious disease therapeutics. These include deep sequencing of viral and bacterial pathogen DNA from clinical trials to discover and analyze resistance mutations, analysis of host-pathogen interactions in clinical samples and preclinical models, and genomic analysis of both individual bacterial species and bacterial communities. Contribution to regulatory filings will be expected. Close interactions with bioinformatics and infectious disease scientists will be required to achieve these goals.

The successful candidate will become an important member of teams developing breakthrough and life-saving therapies. High levels of drive, innovation, attention to detail, independence, and accountability will be required for success, along with flexibility to work with diverse teams that encompass all aspect of drug development. There will be opportunity and expectation to develop new computational methods, discover fundamental new understand and actively publish research results.

Genentech has one of the largest and most innovative bioinformatics departments in industry, and an unsurpassed ability to develop science into life-saving therapies. This is a great opportunity to do science at the highest level in the service of saving human lives.

Qualifications:

• PhD in biological or computational sciences with a minimum of 2 years post-PhD experience.
• Experience in Microbiology or Immunology.
• Strong demonstrated ability to deliver impeccable work on strict deadlines, with diligent attention to detail
• Expertise in statistics
• Bioinformatics programming ability including scripting of analysis workflows, experience in R and bioconductor a major plus.
• Experience in analysis of next-generation sequence data
• Demonstrated ability to work in cross-functional teams and to learn quickly outside of your core expertise area
• Familiarity with drug development and the clinical regulatory landscape will be considered a plus.

Desired Attributes:

• Experience in regulatory environment, FDA filings
• Experience in drug development
• Working with validated systems

For More Information 

Postdoc position in computational biology 2013 Germany

We are currently seeking highly qualified and motivated post-doctoral researchers with experience in computational biology, The institute has access to a wide variety of biological material from extant and extinct primates. Current projects cover a wide range of genomic analysis designed to detect and describe human uniqueness. These projects include genome sequencing of the Neandertal and bonobo and comparative expression studies in great apes.

Competitive applicants will have relevant quantitative biology experience and technical knowledge including programming experience. Demonstrated scientific creativity and familiarity with high-troughput sequencing data is a plus.

Interested applicants should send a cover letter, CV, and names of references to:

Svante Pääbo
Max Planck Institute for Evolutionary Anthropology
Deutscher Platz 6
D-04103 Leipzig

The language of the institute is English. 
For information on the department, visit www.eva.mpg.de/genetics or contact Svante Pääbo:

paabo@eva.mpg.de
Phone: +49 (0) 341 3550 - 0
Fax: +49 (0) 341 3550 - 119

http://www.eva.mpg.de/genetics/positions-available.html

Postdoctoral Positions in Computational Biology 2013 - Italy

2 PostDoc positions available for three years projects in the lab of Diego di Bernardo for these two EU funded projects:
(1) 7th Framework European Project MODHEP: Modelling HepatoCellular Carcinoma
The general objective of MODHEP is to produce and disseminate the results of a holistic, systems biology-based approach providing an integrated understanding of the multi-layered molecular alterations that drive a complex disease such as cancer. This will pave the way for the development of innovative therapies.

(2) 7th Framework European Project NANOSOL: Systematic investigations of engineered nanomaterial interactions with living systems and/or the environment

The main objective of this research proposal is to identify and elaborate those characteristics of Engineered NanoMaterials (ENM) that determine their biological hazard potential. This potential includes the ability ofENM to induce damage at the cellular, tissue, or organism levels by altering key cellular functions.

Requirements:

For both positions we are looking with candidates with a strong engineering, physics or computer science background with a strong interest in molecular biology and drug discovery. All candidates must have a Ph.D. in a relevant research area. Preference will be given to candidates with previous expertise in Computational Biology, although this is not required.

For More Information:

Postdoctoral Position in Computational Biology 2013 Germany

A postdoctoral position in computational biology/chemistry is available in the Stein Lab at the Max-Planck Institute for Dynamics of Complex Technical Systems in Magdeburg(Germany). Our group develops methods and tools to investigate the formation and interaction of biological systems (small molecule-protein and protein-protein complexes).In collaboration with partners these methods will be employed to simulate the adsorption of proteins on electrode surfaces.

Requirements:

We are looking for an experienced and highly motivated co-worker to extend our current research projects in the following fields

kinetics and rates of protein adsorption

development and implementation of algorithms to calculates rates of electron transfer between redox active proteins and electron acceptor partners

application to realistic biological systems in the field of regenerative fuels.The candidate should hold a doctoral degree and have a strong background in at least one of the following fields: computational chemistry, computational biology, computer science, bioinformatics.

The Max-Planck Institute offers excellent research facilities and a stimulating environment. The position is available immediately, initially for one year. Extensions are possible.

How to Apply:

To apply, combine the following documents into one PDF file: cover letter, CV, certificates, short description of scientific achievements (~one page), list of publications, contact information of two references. Send this PDF file as soon as possible by email to matthias.stein@mpi-magdeburg.mpg.de.

For More Information

Postdoctoral positions Computational Systems Biology 2013 USA

Postdoctoral applicants are sought in Computational Systems Biology to work with Professor Jeffrey Skolnick. Specific areas include the development and application of novel algorithms for the:

• Prediction of protein-protein, protein-DNA and protein-RNA interactions
• Development of the tertiary structure of multidomain proteins
• Development of network models for the prediction of subcellular dynamics and biological function
• Development of multiscale modeling approaches for the simulation of virtual cells

Highly creative and outstanding individuals are sought with the following qualifications:

• Extensive experience in developing computer code in languages such as Fortran, C, C++, Perl.
• Previous experience doing international quality research in structural modeling, virtual ligand screening, large scale biological simulations, Brownian or Stokesian Dynamics, bioinformatics, or computational genomics would be major advantages.
• A track record of publication in high quality, international journals.
• Ability to work in a team, yet think independently.

To apply, please email your CV to : skolnick@gatech.edu

For More Information

Postdoctoral Position in Genomics 2013 USA

Postdoctoral positions are available with Jeffrey Kidd in the Department of Human Genetics and Department of Computational Medicine and Bioinformatics at the University of Michigan Medical School. These positions are focused on population genomic analysis to learn about the demographic history of populations and species and how demography interacts with selection to create observed patterns of variation. Multiple projects are available in a number of systems, including human populations (particularly African populations), dogs, and other species.

Requirements:

The applicant should have a Ph.D. in genetics, ecology and evolution, anthropology, molecular biology, bioinformatics, computational biology or a related field and have experience in the analysis of genome-wide data. Excellent written and oral communication skills are required.

Successful applicants will be part of a cutting-edge research program in genomics with ample opportunities for collaboration with researchers at theUniversityofMichiganand around the world.

How to Apply:

To apply, send a CV, cover letter describing your research experiences and ongoing research interests, and contact information for up to three references to Jeffrey Kidd at jmkidd@umich.edu

Post-doctoral positions in Computational Biology 2013 USA

Join our team to identify the functions and pathways of disease genes! Several computational biology post-doc positions are available in the newly established Functional Genomics group in the Department of Computational Medicine and Bioinformatics at the University of Michigan.

The successful candidates will work on exciting projects developing novel function, pathway and network prediction methods in collaboration with several experimental labs in the Department of Internal Medicine and the Department of Human Genetics at UofM. The ideal candidates would have a computational background with a Ph.D. in Computer Science, Statistics, Math, Physics or Bioinformatics. Substantial experience programming in R, Matlab, Perl, Java or C++ is required. Previous experience in data mining or machine learning is a plus.

Interested applicants should send a CV with the names of at least three references to Yuanfang Guan (gyuanfan@umich.edu). Please specify when you are able to start.

Postdoctoral position in computational biology 2013 - USA

A postdoctoral position in computational biology is available in the lab of Christine Mayr at Memorial Sloan-Kettering Cancer Center in New York City.Our lab is interested in the regulation of gene expression with a focus on alternative polyadenylation (ApA). ApA leads to expression of mRNA isoforms that differ in the length of their 3’UTRs and therefore show differences in post-transcriptional regulation. ApA can also change the C-terminal end of a protein and thus modulate its activity. We use molecular biology methods and computational biology to learn about the regulation and functional consequences of expression of alternative mRNA isoforms generated by ApA in normal and cancer cells. We generate large-scale data sets and integrate transcriptomic and genomic data analyses. We study ApA during aging, cancer pathogenesis and during differentiation of embryonic stem cells.

Requirements:

We are looking for a creative, highly talented and motivated researcher with a PhD in bioinformatics, computer science, machine learning, statistics or molecular biology with exceptional computational skills who is interested in gene regulation. The successful candidate will be an integral part of the lab. The researcher will be involved in developing new ways for analysis of transcriptomic data. Moreover he/she will bring together different large-scale data sets to learn about new ways of gene regulation.

The successful candidate has profound experience in the quantitative analysis of large-scale data sets using R or matlab. The applicant is expected to provide bioinformatics input to experimental design, have quantitative and analytical skills and the ability to work in a team. A strong background in software engineering is a plus. Scientific competence should be demonstrated by publications in high-profile journals.

How to Apply:

Please submit your application including a CV, list of publications, brief research statement and contact information for three references to Christine Mayr (mayrc@mskcc.org).

Postdoctoral Position in Computational Genomics 2013 - USA

Postdoctoral positions are available immediately for computer scientists and computational biologists to study the Genomic Bases of Neural Functions & Memory as well as Evolution of Brain. Work will be multifaceted and include assembly and annotation of RNA-seq and ChiP-seq data from a diversity of neural circuits, as well as single-cell and real-time genomics. The work will identify novel gene regulatory pathways and mechanisms underlying neural circuit organization, learning and memory, age-related memory loss and neurodegeneration. Previous experience in genome assemblies, annotation and analysis of next generation sequencing (NGS) data (e.g. genome-/exome- sequencing and whole genome association studies (WGAS), DNA methylation/methylome, chromatin, or system biology) are preferable.

Requirements:

Ideal candidates should have 1) a Ph.D. in Bioinformatics/Genome or MS/PhD Computer Science or related field. 2) Experience in genome and/or transcriptome assembly software and/or mathematical modeling. 3) Strong skills in at least one programming language (Python, JAVA or C/C++, MATLAB, R, PERL) and/or large-scale data modeling and databases (MySQL or PostgreSQL).

About us: 

The McKnight Brain Institute is the hub of the neuroscience community at theUniversityofFlorida. Thus, these are ideal positions for motivated, self-driven scientists who would like to be integrated into interdisciplinary programs, and interact with both fundamental and clinical researchers. TheHighPerformanceComputerCenter(with 16,000 cores), and growing Genomic programs also provide supreme opportunities for professional growth.

Contact:

Prof. Leonid L. Moroz (moroz@whitney.ufl.edu). Please provide your CV, names of three references and evidence of your experience in the field of bioinformatics and/or computational biology and/or computer sciences. A proficiency in database development and maintenance, together with an ability to write custom scripts and/or algorithm development for informatics/visualization is a plus. It would be particularly helpful to demonstrate administration experience within a Linux environment and/or experience in developing multi-threaded program or programming for a cluster environment as well as knowledge of HTMT, CSS, and JavaScript.

For More Information

Postdoctoral Position in Computational Systems Biology 2013 - USA

A Postdoctoral Position in Computational Systems Biology is available in the laboratory of Prof. Igoshin in the Dept of Bioengineering at Rice University. We are looking for a motivated postdoctoral fellow to work on NIH-funded project on the modeling stress-response networks in bacteria and formulating their evolutionary design principles. A key property of living cells is their ability to react to internal or external stimuli with specific biochemical responses. Bacteria have evolved to sense and rapidly adapt to environmental stimuli by changes in gene expression.

Many molecular details of stress response networks regulating these responses have been uncovered for many model bacteria. However, we still lack network-level knowledge of these responses across species, which is necessary to obtain a deeper understanding of cellular functions and to best apply results obtained with model bacteria to bacterial species that are poorly characterized or cannot be cultured in a laboratory. In this project we are focusing on two of the common basic building blocks of bacterial stress-response network to explore how network organization affects the physiologically relevant dynamical properties.

Requirements:

PhD in science or engineering is required for this position. The postdoctoral fellow will work on constructing mathematical models of biochemical and gene-regulatory networks in several model bacteria. Candidates with publications in the field of mathematical/computational biology related to systems biology modeling are strongly preferred. Previous experience in bioinformatics and/or modeling bacterial networks is a plus. Strong interest in interdisciplinary collaboration and English proficiency are also expected. Some of the research will be conducted in tight collaboration with experimental colleagues and the main results are at least partially expected to be published in biological journals. 

About us:

Rice is consistently ranked as one of the nation’s best teaching and research universities.
It is a member institution of the world largest Medical Center (TMC). The Department of
Bioengineering is consistently ranked among the nation’s top 10 bioengineering graduate programs. Rice is situated in the Museum district of Houston, TX – the fourth largest city in the US.

Contact:
Applicants should submit their resume and letter stating their research interests to igoshin@rice.edu

For More Information

Postdoctoral fellow position in computational biology lab - 2013 United States

Seeking a postdoctoral fellow to join our computational biology lab. Candidate must know biostatistics, be an experienced programmer, have good communication skills and be a team player. If you meet these criteria, please send a C.V. to Dr. Jessica Mar.

For more information, please visit: https://sites.google.com/site/marlabeinstein/.
The Albert Einstein College of Medicine is an equal opportunity employer. We welcome applications from all interested and qualified scientists.

To apply

Please send a C.V. to jessica.mar AT einstein.yu.edu.


For More Information

NIH-funded cancer genomics post-doctoral research position

An NIH-funded cancer genomics post-doctoral research position focusing on integrative analysis of next generation sequencing (NGS) data is available within the Maher lab (www.maherlab.com). To fully translate genome-based discoveries into the clinic our group is associated with the Department of Medicine and The Genome Institute (TGI) at Washington University. The successful applicant will focus on applying and developing computational and statistical tools to analyze whole genome and transcriptome sequencing data from cancer patients.

Applicants should have a graduate degree in biology, bioinformatics, computational biology, or related field with a solid background in programming and statistics. Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and familiar with statistical analysis packages (SAS, R, or Bioconductor). Also expected to be familiar with bioinformatics tools and genomics databases. Previous experience in cancer genomics would be an advantage but is not essential.

The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. The ability to analyze and interpret results to communicate with others and produce scientific publications is required.

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

To apply

Please send a CV, including a list of three references, to Dr. Christopher Maher (cmaher at dom dot wustl dot edu).

Postdoctoral Fellow position for Computational Biologist 2013 - USA

The focus of the postdoctoral fellow is to develop new methods for the structure determination and refinement of protein structures using the PHENIX software system. This position works under the direction of the Principal Investigator for this project. Primary duties and responsibilities will include development and implementation of numerical methods, and mechanisms for user interaction.


To apply

 For full consideration, follow the link below to job posting and apply directly to Berkeley Lab.  As part of the online application process, please complete a profile, including uploading attachments relevant to the opportunity.
 https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75785

Berkeley Lab is an affirmative action/equal opportunity employer committed to the development of a diverse workforce.