http://tinyurl.com/o95h6x4
Quantitative modeling of cellular aging using probabilistic gene networks
Strong quantitative and computational skills, proficient in R
Potential topics include understanding lifespan extension effect on dietary restriction, understanding lifespan as a quantitative trait using gene networks.
NSF Career award.
Reference materials:
http://q-bio.org/wiki/Job_Opportunities
Position Type:
- Postdoctoral Position at the NIH
Position Title: Quantitative predictive modeling in biology
Position Description:
- Systems biology with a particular emphasis on elucidating
mechanisms in disease processes, integrating physiological and
genome-scale datasets.
- The Computational Medicine Section is part of the Laboratory of
Biological Modeling, a laboratory with a broad range of projects in
applying quantitative analysis to biomedical problems, ranging from
genome scale inference to diabetes and obesity.
- Strong computational skills and a good background in biology.
Please email a curriculum vitae, names and contact information of
at least three individuals familiar with your research, and a statement
of research interests and future goals to Vipul Periwal (vipulp@niddk.nih.gov) with subject heading: Computational Medicine Search.
Employer Name: National Institute of Diabetes and Digestive and Kidney Diseases
Position Location: Bethesda, MD
Application Deadline Date: Open until filled.
The NIH is dedicated to building a diverse community in its training and employment programs.
CURE postdoc positions
Spelman College is piloting a postdoctoral fellowship program that
combines a traditional principal-investigator directed postdoctoral
research experiences with mentored teaching experiences. Founded in
1881, Spelman College is a private four-year liberal arts college
located in Atlanta, GA. The oldest historically Black college for women
in the United States, Spelman is a member of the Atlanta University
Center Consortium and Atlanta Regional Consortium for Higher Education.
Eligibility:
(1) Graduate students that will complete their requirements for the Ph.D. prior to the Fellowship start date of June 1,
2015, or Ph.D. scholars who have completed their dissertation within the last three years (on or after August 1, 2012);
(2) Ph.D. must be in an eligible research-based field in STEM to
include: Biology, Biochemistry, Chemistry, Computer Science,
Mathematics,
Physics, or a related science discipline. Preference will be given to
candidates with interdisciplinary training.
Qualifications: Commitment to a career in teaching and research,
experience working with underrepresented groups and interest in the
scholarship of undergraduate teaching and learning are highly valued.
Responsibilities: Conduct research within a specific field guided
by a designated PI; publish scientific manuscripts under the direction
of
the PI; help develop investigative-based modules for existing
undergraduate science courses; and contribute to the training and
mentoring
undergraduate research students.
Term: Postdoctoral awards may be up to three years (36 consecutive months), given continued successful progress.
Review of applications will begin immediately with a material's received and closing deadline of March 13, 2015.
Competitive
salary and an excellent benefits program are available. To apply for
the position, please upload: a letter of interest,
including job code, which identifies the position sought; curriculum
vitae (with contact information); a one-page statement of teaching
philosophy; statement of scholarly, creative or research interests.
Applicants selected for further review will be required to
provide official undergraduate and graduate school transcripts, as well
as three
letters of recommendation sent directly from the referee or dossier.
Address all referee or dossier letters to: Spelman College, Provost
Faculty Human Resources Office, Attn: Ms. Karla H. Williams, Manager of
Faculty Human Resources, 350 Spelman Lane, SW, Box 1209, Atlanta, GA
30314
Job Description
Org Marketing Statement
All over the world, Pfizer colleagues are working together to
positively impact health for everyone, everywhere. Each position at
Pfizer touches and contributes to the success of our business and our
world. That's why, as one of the global leaders in the biopharmaceutical
industry, Pfizer is committed to seeking out inspired new talent who
share our core values and mission of making the world a healthier place.
Role Description
We seek a highly
motivated individual with Ph.D. in systems biology/pharmacology
modeling, biochemical engineering or other related field and a
demonstrated track record in scientific publication. The postdoctoral
fellow will be located in Cambridge (MA), a world-class center of
pharmaceutical and biotech research. The individual will build systems
pharmacology models of sickle cell disease initiation and progression.
The individual will work in a highly stimulating and multi-disciplinary
environment including interactions with biologists, precision medicine
group, clinical pharmacologists, clinicians and systems pharmacology
modelers. In addition to building computational models, the individual
will also have an opportunity to guide experimental design towards data
generation.
Responsibilities
* Create multi-scale systems models for sickle cell disease based on literature data and in-house information
* Apply data mining tools to obtain information on intracellular pathways relevant to sickle cell disease
* Identify relevant data ( in-vitro, in-vivo preclinical and clinical trial data) for model optimization and validation
* Design critical experimental towards validation of model hypothesis and predictions
* Effectively communicate model results and outcomes to scientists in non-quantitative disciplines
* Write scientific publications and present at internal and external scientific meetings
Qualifications
* Ph.D. degree in mathematics, engineering or other disciplines related
to quantitative pharmacology or equivalent experience with a strong
emphasis on biopharmaceutical modeling and simulation.
* Previous
experience in building systems biology/pharmacology models, including
ordinary differential equation based models is required.
* Working knowledge of sickle cell disease pathogenesis is ideal
TECHNICAL SKILLS REQUIREMENTS
* Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation
*
In depth, hands-on knowledge of the state of the art modeling and
simulation software and applications in the area of PKPD and systems
modeling and simulation (MatLab, Simbiology toolbox, S-plus, R or
comparable applications)
* Capable of performing literature mining;
rapidly and efficiently implementing computational models of biological
systems. Knowledgeable in parameter estimation and optimization
techniques
* Capable of building ordinary differential equation
based model , familiarity with other types of modeling techniques, e.g.
partial differential equations, Bayesian modeling, population modeling
will be a plus
* Proven track record in scientific communication and writing manuscripts
* Familiarity with intracellular pathways and clinical data related to sickle cell disease will be advantageous
* Good understanding of in vivo animal models and drug discovery process is a plus
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of
employment for all employees and job applicants without regard to race,
color, religion, sex, sexual orientation, age, gender identity or
gender expression, national origin, disability or veteran status. Pfizer
also complies with all applicable national, state and local laws
governing nondiscrimination in employment as well as work authorization
and employment eligibility verification requirements of the Immigration
and Nationality Act and IRCA. Pfizer is an E-Verify employer.
Sunshine Act
Pfizer reports payments and other transfers of value to health care
providers as required by federal and state transparency laws and
implementing regulations. These laws and regulations require Pfizer to
provide government agencies with information such as a health care
provider's name, address and the type of payments or other value
received, generally for public disclosure. Subject to further legal
review and statutory or regulatory clarification, which Pfizer intends
to pursue, reimbursement of recruiting expenses for licensed physicians
may constitute a reportable transfer of value under the federal
transparency law commonly known as the Sunshine Act. Therefore, if you
are a licensed physician who incurs recruiting expenses as a result of
interviewing with Pfizer that we pay or reimburse, your name, address
and the amount of payments made currently will be reported to the
government. If you have questions regarding this matter, please do not
hesitate to contact your Talent Acquisition representative.
By applying to/saving a job using
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Terms of Use
for use of our website. To use our website, you must agree with the
Terms of Use and both meet and comply with their provisions.
Further information
A more complete PDF version of this job posting is available from the following URL:
http://epigenomics.cemm.oeaw.ac.at/files/Postdoc_Bioinformatics_Medical_Epigenomics.pdf
We are looking for enthusiastic bioinformatics postdocs who would like to build and advance their career in computational biology and biomedical research. Our lab is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna.
It combines advanced technologies (epigenomics, single-cell sequencing,
drug screening, mass spectrometry, etc.) with a deep interest in
computational modeling and relevant clinical collaborations. Our goal is
to advance cancer therapy through truly systems-level research focusing
on the cancer epigenome.
The Candidate
We are looking for highly motivated and academically outstanding
candidates who want to pursue a scientific career in the field of
computational and medical epigenomics. An ideal candidate would have a
background in the computational sciences (bioinformatics, statistics,
physics, engineering, etc.) and some prior experience with collaborative
research in high-throughput biology. We will also consider applicants
with a background in molecular biology (including functional genomics,
chemical biology, human genetics, molecular medicine, etc.) who have
strong quantitative skills and/or a research interest that would fit
well with a systems medicine environment.
The Lab (
http://www.medical-epigenomics.org/)
The Medical Epigenomics Lab at CeMM combines large-scale epigenome
analysis with stem cell biology and computational modeling, in order to
better understand and treat cancer and other diseases. We collaborate
with biologists and clinicians at the Medical University of Vienna and
internationally, aiming to advance precision medicine through
technological innovation. Specific research interests include:
- Epigenomics. We perform large-scale epigenome mapping in
order to dissect the dynamics of cancer development and emerging drug
resistance. This work is part of the European BLUEPRINT project and the
International Human Epigenome Consortium.
- Technology. Exciting biomedical research is often driven
by new technologies. Our lab is therefore heavily invested into
technology development, including single-cell protocols, nanopore
sequencing, CRISPR, and epigenome editing.
- Bioinformatics. New algorithms and advanced computational
methods allow us to accurately infer epigenetic cell states from
large-scale datasets, in order to reconstruct the epigenetic landscape
that controls cellular differentiation and reprogramming.
- Diagnostics. Using large-scale DNA methylation mapping,
bioinformatic prioritization, and functional characterization, we strive
to develop clinically relevant biomarkers for informing personalized
cancer therapy.
The Project
The lab is driven by the ideas of all its members. If you already
have a project in mind, we would like to hear from you. If not, here are
a few topics for inspiration: (i) Why is leukemia a disease of the
elderly? Can we identify an “epigenetic clock” that counts down toward
leukemia? What is wrong with this clock in those rare cases of childhood
leukemia? (ii) Can we construct a blood cancer from scratch, by
inducing only epigenetic defects? Which combination of pathways provides
the minimum core of an epigenetic leukemia? (iii) How can we make
epigenome data useful for personalized medicine? Every physician uses
Google – can we build a “Google for the epigenome”?
The Principal Investigator (
https://scholar.google.com/citations?user=9qSsTcIAAAAJ)
Christoph Bock is a bioinformatician and epigenomics researcher. He
is a principal investigator and head of the Medical Epigenomics
Laboratory at the CeMM Research Center for Molecular Medicine of the
Austrian Academy of Sciences. He is also guest professor at the Medical
University of Vienna’s Department for Laboratory Medicine, scientific
coordinator of the Biomedical Sequencing Facility at CeMM, and adjunct
group leader at the Max Planck Institute for Informatics. Christoph
graduated
summa cum laude at the Max Planck Institute for
Informatics and Saarland University with a PhD thesis on computational
epigenetics. Subsequently, he was a postdoctoral research fellow at the
Broad Institute of MIT and Harvard before joining CeMM in 2012.
Christoph Bock is a 2009 recipient of the Otto Hahn Medal by the Max
Planck Society and a 2014 recipient of the New Frontier Group award of
the Austrian Academy of Sciences. He leads Genom Austria, which is the
Austrian contribution to the International Network of Personal Genome
Projects. He is also a member of the European BLUEPRINT project and
contributes to the work of the International Human Epigenome Consortium
to map 1,000 reference epigenomes.
The Institute (
http://www.cemm.at/)
The CeMM Research Center for Molecular Medicine is an international
and interdisciplinary research institute of the Austrian Academy of
Sciences. Driven by medical needs, CeMM integrates basic research and
medical expertise to pursue innovative diagnostic and therapeutic
approaches focused on cancer, inflammation, and immune disorders. CeMM
is located in a new building at the center of one of the largest medical
campuses in Europe, within walking distance of Vienna’s historical city
center. According to a study by “The Scientist”,
CeMM is among the top-5 best places to work in academia world-wide (
http://the-scientist.com/2012/08/01/best-places-to-work-academia-2012).
Vienna is frequently ranked the world’s best city to live. It is a
United Nations city with a large English-speaking community. The
official language at CeMM is English, and more than 30 different
nationalities are represented at the institute.
Please submit cover letter, curriculum vitae, academic transcripts and contact details of three referees to application@cemm.at.
Applications will be reviewed on a rolling basis, and any application
received by 10 July 2015 will be considered. Start dates are very
flexible. Please feel free to contact Christoph Bock directly in case
you have specific questions e.g. about scientific topics and project
ideas.
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
University of Pittsburgh
United States-PA-Pittsburgh
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Postdoctoral Associate Position in Machine Learning and Computational Biology
Dr. Madhavi Ganapathiraju’s group at Department of Biomedical
Informatics (DBMI), University of Pittsburgh is seeking candidates with
exceptional qualifications for an NIH funded postdoctoral position in
computational biology and machine learning. Candidates may apply by
emailing Cover letter & CV to madhavi+isb@pitt.edu
Ideal candidates would have exceptional research experience and a strong
publication record. The research is funded till 2016 through the BRAINS
award from NIH. One postdoctoral position is available effective
immediately.
Research focus: Research work in our group is on development of
algorithms for protein-protein interaction prediction and network
mining. The candidate would contribute to developing algorithms to
discover novel protein-protein interactions using machine learning and
information integration methods and to analyze the interactome network
to draw biologically relevant insights. He/she would work in a richly
collaborative environment where algorithms developed by our group find
direct translation to biomedical science through collaborations of the
principal investigator (MG).
http://tonks.dbmi.pitt.edu/
Postdoctoral researchers are provided tremendous guidance, mentoring and
resources to establish themselves in independent positions by the PI,
the department and the university.
This position is available at this time. Applications are being reviewed currently, and will go on until the position is filled.
Company Description
The University of Pittsburgh, commonly referred to as Pitt, is a
state-related research university located in Pittsburgh, Pennsylvania,
United States. Pitt is highly regarded in academic fields ranging from
philosophy to medicine, and has consistently ranked among the top 10 in
terms of $ funding from NIH in various fields under School of Medicine.
The University of Pittsburgh is an affirmative action, equal
opportunity employer.
The Department of Biomedical Informatics (DBMI) brings together a
diverse group of faculty who are committed to improving biomedical
research and clinical care through the application of innovative
technologies. Currently funded projects explore areas such as systems
biology, machine learning, genomic and proteomic data mining, natural
language processing, and biosurveillance. In addition, DBMI is home to
one of the National Library of Medicine’s university-based Research
Training Programs in Biomedical Informatics, which includes postdoctoral
training.
The City of Pittsburgh has been identified as "The Best Place to Live in US" in a recent study!! http://www.dailymail.co.uk/news/article-1359195/Pittsburgh-best-place-live-says-Economist-Intelligence-Unit.html
Madhavi Ganapathiraju, Ph.D.,
Assistant Professor
Department of Biomedical Informatics
& Intelligent Systems Program
University of Pittsburgh
Faculty of Language Technologies Institute (Carnegie Mellon University)
and Joint CMU-Pitt PhD Program in Computational Biology
http://www.linkedin.com/in/madhavicmu |
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Required Skills & Experience
We are seeking candidates with exceptionally strong qualifications.
Suitable candidate would have Ph.D. in:
- computational biology with experience in high-throughput data analysis
Or
- Machine learning / network analysis
Strong skills in computer science (programming and machine learning)
Strong publication record
Non-computational disciplines such as biology/biotechnology or
disciplines like computational chemistry are not suitable for this post.
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Post-doc in population genomics
We are currently accepting applications for a post-doc position
combining genomic medicine and population genetics. The opportunity is
to drive genomic discovery of medically relevant variants within a
multi-disiplinary clinical care environment. Specifically, the candidate
may develop/apply statistical methods for genomic variant discovery in
large diverse population-based cohorts and biobanks, and work within a
team of physicians and researchers to enable functional and
translational follow up. Candidates should have a Ph.D. in biology,
genetics, computer science, statistics, anthropology, bioinformatics,
computational biology, or a related field. Knowledge of theoretical
population genetics, complex trait mapping, medical genetics and/or
next-gen sequencing is a plus.
Interested candidates should send a CV, a short description of
research interests, and contact information for 3 references to me at
eimear.kenny@mssm.edu
