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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)


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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

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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

 


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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


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