Search for a job.

Results:

6 Job(s) found.

Feinberg Lab: Epigenetic Mechanisms of Human Disease

Date Posted:
11/28/2018

Center for Epigenetics

MD

POSTDOCTORAL FELLOWSHIP IN EPIGENETIC MECHANISMS OF HUMAN DISEASE

Postdoctoral position is available at the Andrew Feinberg lab in the JHU Center for Epigenetics for study of the epigenetics of cancer, metabolism, and behavior, focused on disease mechanisms, model organisms, and the role of epigenetics in gene-environment interaction. All of the studies are interdisciplinary, involving collaborating faculty in experimental design and mentorship at the Johns Hopkins University School of Medicine, preparing fellows for team-based jobs grounded in outstanding scholarship. We are addressing the following scientific questions:

  • What are the epigenetic drivers of cancer progression? We are determining how mutations in epigenetic modifier genes alter the epigenetic landscape in normal development and cancer, and increase epigenetic plasticity and tumor cell survival. See Feinberg et al, Nature Rev Genet 2016, 17:284.
  • Can epigenetic alterations in cancer be reversed using novel approaches targeted to large blocks of heterochromatin and/or metabolism? See: McDonald et al, Nature Genet 2017, 49:367.
  • What are the epigenetic drivers of neuropsychiatric disease and how are they related to brain-region specific developmental epigenetic marks? See: Rizzardi et al, Nature Neurosci, in press.
  • What is the relationship between common DNA sequence variants and tissue-specific epigenetic marks in normal development and disease? See: eGTEx Project, Nature Genet 2017, 49:1664.
  • How do genome and environment interact to cause disease, and how is this mediated by the epigenome? We are addressing the mechanisms through which environment influences gene function, or “GxE”, focusing on important and contemporary exposures highly relevant to human health: diet, environmental toxicants and their relationship to metabolic disorders and cancer. See: Barrington et al, Genetics 2018, 208:399.
  • What is the mathematical foundation of epigenetic information? We are pursuing our novel idea that genetic variants that control phenotypic variance confer a selective advantage in evolution in an environment that changes, and that the same idea may explain phenotypic plasticity in cancer evolution, with the “hallmarks” of cancer being selected for at the expense of the host. We are developing new information theoretic tools to relate DNA methylation, chromatin structure, and gene sequence to stochastic modeling. See: Jenkinson et al, Nature Genet 2017, 49:719.

See our website for details: http://feinberglab.jhu.edu. Interested candidates must have received or expect to have received the PhD or MD/PhD in 2018 or 2019, have a strong graduate school record in genetics and/or biostatistics, and have published or have accepted one or more high-quality peer reviewed publications. To apply, please upload to this website a cover letter, C.V. including bibliography, unofficial graduate school transcript, and contact information for three references, but do not have them send letters at this time. Any questions about the position or application process can be directed to Michael Graziano at graziano@jhmi.edu, but only applications submitted through this website will be considered.


Read the full job description

Fishman Lab: Felix Project - Early Pancreatic Cancer and Deep Learning Algorithms

Date Posted:
11/28/2018

Radiology and Radiological Science

MD

Position Highlight:

Highly qualified individuals at the postdoctoral level will work on research in medical image analysis for pancreatic cancer. The successful candidate will directly collaborate with radiologists and be involved in developing new mathematical and algorithmic models (computer vision, machine learning, and medical image processing & analysis related) and protocols using high-performance machines to study the correlation to clinical outcomes from medical images. The candidate will be involved in a highly productive academic program and multidisciplinary program with excellent future opportunities.

Additional information about clinical collaborators is available at CTisUs (www.CTisUS.com, PI: Dr. Elliot K. Fishman).

 Required qualifications:

Ph.D. in computer science, electrical engineering, biomedical engineering, or related engineering majors that enable them to build mathematical and algorithmic models on medical images and implement them.

  • Mathematical and algorithmic modeling ability (not limited to a specific methodology but experience of machine learning or computer vision is preferred) is required.
  • Programming ability (C++, Python, Matlab, or R, etc.) is required.
  • Knowledge of basic (bio) statistics is required.
  • Basic background of medical images (especially CT) and analysis experience is preferred.

 Responsibilities:

  • Learn research techniques that directly relate to the program's scientific projects and goals with appropriate direction and supervision.
  • Will participate in the coordination of study participants and developing strategies to recruit to the study
  • Plan, conduct and document experiments independently; evaluate and interpret data with guidance; write and publish papers.
  • Prepare reports and study finding to present to PI
  • Maintain research Files

Interested applicants should send a single PDF file that includes a current CV with recent publications, a personal statement of scientific interests and career goals (2-page maximum).  Please contact Elliot Fishman, M.D., FACR Director, Department of Radiology, JHOPC 601 N. Caroline St, Baltimore, Maryland 21287. E-mail at efishman@jhmi.edu or 410-955-5173 office.


Read the full job description

Kegan Lab: Vascular Biology and Immunology

Date Posted:
10/30/2018

Anesthesiology and Critical Care Medicine

MD

Postdoctoral fellowship positions located on the downtown East Baltimore Medical Campus are open in the areas of cardiopulmonary vascular biology and physiology.

 A successful candidate will use basic science approaches to address clinically relevant issues within a multidisciplinary team that includes clinician scientists and biomedical engineering groups.

 Candidates should have a recent PhD degree (or equivalent) with a background in physiology, cell and molecular biology, biomedical science, or pharmacology. A strong publication record is also recommended. Individuals with experience in vascular/macrophage biology, stem cell biology, immunology, or animal studies (specifically lung and/or cardiac physiology) will be given preference. We value self-motivated and collaborative team members. Salary follows the NIH standard and is commensurate with qualifications and experience.

 Interested individuals should submit a cover letter (1-2 pages) containing a summary of their prior work, research interests, and career goal along with a CV and information for 3 references as a single pdf to: Kazuyo Kegan, Ph.D. (kkegan1@jhmi.edu)


Read the full job description

Modeling Transmission of Infectious Diseases in Healthcare Postdoctoral Position

Date Posted:
10/23/2018

Emergency Medicine

MD

Applications are invited for full-time postdoctoral positions in Emergency Medicine at Johns Hopkins School of Medicine under the supervision of Drs. Scott Levin, Jeremiah Hinson, and Eili Klein.

Fellows will work at the intersection of engineering and emergency medicine to harness large-scale electronic health record (EHR) data to assess the potential avenues of transmission of infectious diseases within the hospital as well as examine potential interventions to contain transmission. Post-doctoral fellows with broad interests in data-science, network-analysis, and mathematical modeling are encouraged to apply.

Fellows will be supported by the Modeling Infectious Diseases in Healthcare Network (MInD - Healthcare) sponsored by the Centers for Disease Control and Prevention (CDC). The objective of this project is to assess the drivers of, and impact of interventions to control, transmission of Healthcare-Associated Infections (HAIs) and Antibiotic Resistant (AR) Infections within and between hospitals. The fellows’ primary responsibility will be to develop models of transmission within the hospital, assess network dynamics, and evaluate intervention impacts.  The overarching objective will be to develop cost-effective interventions that can be deployed at different levels of the healthcare system to reduce health and financial harms caused by HAIs and AR infections.

The fellows will work closely with multidisciplinary team of faculty and Ph.D. students from Johns Hopkins University. Women and Underrepresented Minorities are highly encouraged to apply. This is a year-long postdoc which can potentially be extended up to two years upon satisfactory performance and availability of funding.

Requirements:

  • PhD degree in applied or computational mathematics, computer science, engineering, or a closely related field.
  • Research experience in data science and modeling. Prior experience in medicine or healthcare is favorable.
  • Required experience with R and Python
  • Demonstrated ability to work independently as well as collaboratively with excellent written and oral communication skills; interdisciplinary research experience is preferred

 Anticipated start date is November 1, 2018. Review of applications will begin immediately and continue until the position is filled. Complete applications should include the following (in a single pdf file) to eklein@jhu.edu:

  • A cover letter
  • A full curriculum vitae
  • Up to two research publications and/or preprints
  • The names and contact information for three references

Read the full job description

Engineering in Healthcare Postdoctoral Position

Date Posted:
10/23/2018

Emergency Medicine, Computer Science, Civil Engineering

MD

Applications are invited for full-time postdoctoral positions joint between Emergency Medicine, Computer Science, and Civil Engineering at Johns Hopkins University under the supervision of Drs. Scott Levin and Jeremiah Hinson.

Fellows will work at the intersection of engineering and emergency medicine to harness large-scale electronic health record (EHR) data to give care teams real-time and predictive insights for safer, smoother, and more affordable care.  Post-doctoral fellows with broad interests in data-science, human-computer interaction, and decision sciences are encouraged to apply.

Fellows will be supported by the Connected Emergency Care (CEC) Patient Safety Learning Lab sponsored by the Agency for Healthcare Research in Quality (AHRQ). The objective of this lab is to reduce health and financial harm for patients receiving emergency department (ED) care with an initial focus on lower respiratory tract infections. The fellows’ primary responsibility will be to develop and test learning and optimization models that advance data-science and are deployed at the point of care for key diagnostic, treatment, and disposition decision-points.  The overarching objective will be to deploy decision support that creates a connected (closed-loop) emergency care system toward reducing health and financial harms caused by suboptimal diagnosis and treatment in the ED.

The fellows will work closely with multidisciplinary team of faculty and Ph.D. students from Johns Hopkins University and the MICA Center for Social Design. Women and Underrepresented Minorities are highly encouraged to apply. This is a year-long postdoc which can potentially be extended up to three years upon satisfactory performance and availability of funding.

Requirements:

  • PhD degree in applied or computational mathematics, computer science, engineering, or a closely related field.
  • Research experience in data science. Prior experience in medicine or healthcare is favorable.
  • Required experience with Python and SQL.
  • Prefer some experience with R, C#, C/C++, AWS, Azure
  • Demonstrated ability to work independently as well as collaboratively with excellent written and oral communication skills; interdisciplinary research experience is preferred

 Anticipated start date is December 1, 2018. Review of applications will begin immediately and continue until the position is filled. Complete applications should include the following (in a single pdf file) to slevin33@jhmi.edu:

  • A cover letter
  • A full curriculum vitae
  • Up to two research publications and/or preprints
  • The names and contact information for three references

 


Read the full job description

Arroyo Lab: Developing Biology-Inspired Electrochemical Sensors

Date Posted:
10/3/2018

Pharmacology and Molecular Sciences

MD

Exciting postdoctoral opportunity developing biology-inspired electrochemical sensors at Johns Hopkins School of Medicine

The Netz Lab is seeking a Postdoctoral Scholar to lead the development of top-notch electrochemical sensors for the real-time monitoring of pharmaceutical agents in vivo. For more information please visit: https://www.netzarroyo.org

This position is ideal for a highly independent researcher and primarily involves the design, fabrication, in vitro calibration and in vivo deployment of micro- and nano-fabricated biosensors. The main two goals of the fabrication aspect of the research are: 1) the exploration of creative designs that minimize the detrimental effects of foreign-body response on the performance of sensors; and 2) the improvement of signal-to-noise ratios in vivo. The biosensing goal is multifold, including, but not limited to, optimizing biomolecular receptors for selective detection of analytes, studying electrochemical signal transduction mechanisms, understanding biologically-induced fouling and applying this knowledge to the measurement of drug pharmacokinetics in live animals. Specifically, the ideal candidate should have:

Essential:

  • A Ph.D. in chemistry, physics, material sciences, engineering or related fields
  • proficiency in micro- and nano-fabrication

Preferred:

  • a good understanding of fundamental electrochemistry and electroanalytical methods
  • experience working with RNA, DNA, proteins and/or other biomolecules
  • programming skills (Python, Matlab or other)

 Expected start date: June 2019 or earlier

 Starting salary: NIH-set stipends, commensurate with experience + benefits

 Application process:

Applicants should submit an application package that includes a cover letter, CV (including contact information for three references) and three relevant publications, all contained within a single PDF file, to Netz Arroyo through the link: http://www.netzarroyo.org/contact/

Please include in the contact form your preferred name and your current email. The subject line should read: “Last name, First name – Postdoctoral Application”. In the message box, please describe your previous appointments and education in the following format:

Previous professional appointments:

None or Postdoc with Prof. X at University of X

Education:

Ph. D. in X discipline from University of X – Advisor: Prof. X

B.S. in X discipline from University of X

 Application review will begin immediately and continue until the expiration of this ad.

 Netz Arroyo. PhD

Assistant Professor of Pharmacology and Molecular Sciences

Johns Hopkins School of Medicine


Read the full job description