Difference between revisions of "Jobs"

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==Research and Programming Specialist==
 
==Research and Programming Specialist==
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The Computational Memory Lab at the University of Pennsylvania seeks to recruit a Research and Programming Specialist to assist with a multi-center project aimed at identifying patterns of brain activity that predict when memory will succeed or fail, and using these patterns to guide closed-loop stimulation protocols aimed at boosting memory in patients with brain injury or neurological disease. The successful candidate will join a multi-disciplinary team of researchers, clinicians, data scientists, and engineers to carry out research under several federally funded grants. The ideal candidate will possess exceptional organizational and interpersonal skills, a solid foundation of technical skills, and a strong desire to further build those skills during their tenure in the lab, as well as a passion for research aimed at understanding the neural basis of human memory.  This position provides an excellent opportunity to work with clinical researchers, neurologists, and neurosurgeons at top medical research centers across the country.  The position requires familiarity with Python, C#, or similar programming languages, and comfort working in a Linux or Unix environment.  Exceptional candidates will have experience in data analysis and programming and a strong record of academic achievement.  A 2-year commitment is expected.  Position is contingent on continued funding. Please see http://memory.psych.upenn.edu for more information about the lab and its projects.
 
The Computational Memory Lab at the University of Pennsylvania seeks to recruit a Research and Programming Specialist to assist with a multi-center project aimed at identifying patterns of brain activity that predict when memory will succeed or fail, and using these patterns to guide closed-loop stimulation protocols aimed at boosting memory in patients with brain injury or neurological disease. The successful candidate will join a multi-disciplinary team of researchers, clinicians, data scientists, and engineers to carry out research under several federally funded grants. The ideal candidate will possess exceptional organizational and interpersonal skills, a solid foundation of technical skills, and a strong desire to further build those skills during their tenure in the lab, as well as a passion for research aimed at understanding the neural basis of human memory.  This position provides an excellent opportunity to work with clinical researchers, neurologists, and neurosurgeons at top medical research centers across the country.  The position requires familiarity with Python, C#, or similar programming languages, and comfort working in a Linux or Unix environment.  Exceptional candidates will have experience in data analysis and programming and a strong record of academic achievement.  A 2-year commitment is expected.  Position is contingent on continued funding. Please see http://memory.psych.upenn.edu for more information about the lab and its projects.
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Required Qualifications:
 
Required Qualifications:
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*Ability to travel up to 20% of the time and work flexible hours as needed.
 
*Ability to travel up to 20% of the time and work flexible hours as needed.
 
*A two-year commitment is desired.
 
*A two-year commitment is desired.
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To apply, click [https://wd1.myworkdaysite.com/recruiting/upenn/careers-at-penn/job/Stephen-A-Levin-Building---2nd-Floor/Research-and-Programming-Specialist--Computational-Memory-Lab_JR00045600| here]
 
To apply, click [https://wd1.myworkdaysite.com/recruiting/upenn/careers-at-penn/job/Stephen-A-Levin-Building---2nd-Floor/Research-and-Programming-Specialist--Computational-Memory-Lab_JR00045600| here]

Revision as of 20:27, 14 February 2022


The Computational Memory Lab is currently seeking applications for the following positions:

Director of Clinical Research

The Computational Memory Lab at the University of Pennsylvania seeks to hire a Director of Clinical Research to help lead a multi-center study of brain stimulation aimed at improving human memory and understanding its neural basis.

Our research, funded by multiple federal grants under The BRAIN Initiative, uses intracranial brain recordings in neurosurgical patients to uncover the neural mechanisms of human memory and to develop algorithms that use electrical stimulation to restore memory function in patients with brain injury or neurological disease. Prior published work from our team has demonstrated meaningful improvements in memory using machine-learning-based closed-loop brain stimulation. These projects are funded by multiple grants and involve multi-site collaborations across the U.S. and in Germany. We seek an experienced candidate who can effectively direct large research projects, has the ability to interface effectively with neurosurgeons, neurologists and engineers, and has the technical skills to work with sophisticated data acquisition and brain stimulation systems. The selected applicant will directly oversee a team of research specialists and coordinate the data collection and analysis efforts of researchers at multiple sites. Additional duties will include ensuring the longevity of the work by helping to prepare grant applications and reports, and contributing to the selection of future research agendas. The position is contingent upon funding.


Required Qualifications:

  • An advanced degree, PhD or DSc, in neuroscience, biomedical engineering, biophysics, or related field.
  • 3-5 years of research experience, preferably in the space of cognition, brain and behavior.
  • Strong technical skills working with electronics, hardware, and software.
  • Experience with coordinating team-based research.
  • Experience with scientific/statistical computing techniques and languages (Python/SciPy, MATLAB, R, or similar).
  • Strong oral and written communication skills.
  • Willingness to travel to clinical sites for research coordination.


Preferred:

  • Experience with grant progress report preparation and proposal writing.
  • Experience with regulatory affairs: IRB protocol submission and continuing reviews.
  • Experience with clinical and/or research electrophysiology systems.
  • Neuroscience/neuroanatomy background knowledge.
  • Experience with neuroimaging techniques (MRI, CT).
  • Experience using UNIX/Linux systems, including high performance computing.


To apply, click here



Research and Programming Specialist

The Computational Memory Lab at the University of Pennsylvania seeks to recruit a Research and Programming Specialist to assist with a multi-center project aimed at identifying patterns of brain activity that predict when memory will succeed or fail, and using these patterns to guide closed-loop stimulation protocols aimed at boosting memory in patients with brain injury or neurological disease. The successful candidate will join a multi-disciplinary team of researchers, clinicians, data scientists, and engineers to carry out research under several federally funded grants. The ideal candidate will possess exceptional organizational and interpersonal skills, a solid foundation of technical skills, and a strong desire to further build those skills during their tenure in the lab, as well as a passion for research aimed at understanding the neural basis of human memory. This position provides an excellent opportunity to work with clinical researchers, neurologists, and neurosurgeons at top medical research centers across the country. The position requires familiarity with Python, C#, or similar programming languages, and comfort working in a Linux or Unix environment. Exceptional candidates will have experience in data analysis and programming and a strong record of academic achievement. A 2-year commitment is expected. Position is contingent on continued funding. Please see http://memory.psych.upenn.edu for more information about the lab and its projects.


Required Qualifications:

  • Bachelor's degree and 0 to 1 year of experience.
  • Excellent organizational and interpersonal skills.
  • Experience with Python, C#, or other languages, and familiarity with Linux environments.
  • Ability to travel up to 20% of the time and work flexible hours as needed.
  • A two-year commitment is desired.


To apply, click here


For more information on our research, please click here. For more information on Penn's salary structure, click here.