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.
- Postdoctoral Position at the NIH
- 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.
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.
(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 DescriptionOrg 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.
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.
* 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
* 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.
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.
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.
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 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 email@example.com. 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
| 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 firstname.lastname@example.org
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).
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.
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.,
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
| 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
- 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.
Post-doc in population genomicsWe 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 email@example.com