Positions Available

Post-Doctoral Scientist/Biomedical Engineer Position in Microphysiology Systems

D. Lansing Taylor, Ph.D.

Director, University of Pittsburgh Drug Discovery Institute

Allegheny Foundation Professor of Computational and Systems Biology

Email: dltaylor@pitt.edu

 


Funding from NCATS Microphysiology Systems Program, the EPA, NIH and State of PA

 

Start Date: Fall 2016

 

Experience and Training

 

• Ph.D in biology, biophysics, biomedical engineering, or related field

• Experience in microfluidic organ models (Microphysiology Systems)

• Experience in cell and molecular biology

• Experience in high content imaging or confocal microscopy of 3D cellular systems

• Experience with iPSCs a plus.

 

Position Responsibilities

 

• Extend the development of a human, microphysiology liver model using an all plastic microfluidic device and oxygen sensing techniques to construct a vascularized, zonated liver acinus.

• Characterize the structure and functions over a month of a liver disease model (options include hepatocarcinoma, metastatic breast cancer, non-alcoholic fatty liver disease and childhood liver mitochondrial diseases) using a variety of readouts including imaging fluorescence-based biosensors, biochemistry and mass spectrometry

• Plan and execute experiments, analyze and present results in presentations and publications

• Collaborate with the liver microphysiology systems team and clinician-scientists at Pitt

 

Job Description

 

UPDDI is searching for a Postdoctoral Microphysiology Scientist/Engineer for the development and analysis of human, 3D cellular models of organs and disease. Expertise in the theory and experimental use of fluorescence microscopy of cellular systems is required. Experience with 3D biological models preferred. This is an excellent opportunity to get involved in a series of high profile collaborations in engineering microfluidic organ models for disease models and toxicology testing.

 

Send CV and a list of 3 references to:

D. Lansing Taylor, Ph.D.

dltaylor@pitt.edu

 

Data Analyst/Modeler

 

Description:

The University of Pittsburgh Drug Discovery Institute (UPDDI) is establishing a microphysiological systems database center as part of a collaboration with the Tissue Chip Consortium funded by NCATS to develop and validate microphysiological platforms.  Tissue Chip Testing Centers (TCTC) will be generating data for platforms of various organ systems which will be used to validate the reproducibility and clinical relevance of these platforms for predicting drug safety in humans.  We are seeking a data analyst/modeler for the development of computational models to evaluate clinical relevance of the microphysiological platforms and predict safety in humans. Specifically we seek someone to 1) develop and integrate data analysis routines; 2) integrate additional reference data sources; and 3) implement data modeling functions in the microphysiological systems database.

This full time position offers competitive salary and benefits commensurate with experience.

Required Qualifications:

  • BS in Computational Biology, Computer Science, Medical Informatics, Machine Learning or a related field, or demonstrated experience in web application design and development with modern programming languages (e.g., Python, Javascript),
  • Knowledge and experience in Statistical analysis
  • Familiarity with popular APIs, frameworks, and technologies (e.g. jQuery, Django, AJAX).
  • Familiarity with Linux environment and version control (e.g. Git)
  • Strong communication and interpersonal skills
  • Ability to take initiative and work independently and as part of an interdisciplinary and national team

Desired Qualifications

  • Analytical, machine learning, and computational modeling experience
  • Experieince with medical informatics, analysis of clinical trials or toxicology data
  • Experience or knowledge of drug discovery, systems biology, pharmacology, or toxicology.

 

POSITION AVAILABLE: Start date ideally by October 2016.

Qualified candidates should email a CV to:  Christine Grabowski at cmg72@pitt.edu

 

Database Project Manager

 

Description:

The University of Pittsburgh Drug Discovery Institute (UPDDI) is establishing a microphysiological systems database center as part of a collaboration with the Tissue Chip Consortium funded by NCATS to develop and validate microphysiological platforms.  Tissue Chip Testing Centers (TCTC) will be generating data for platforms of various organ systems which will be used to validate the reproducibility and clinical relevance of these platforms for predicting drug safety in humans.  We are seeking a project manager who will be principally responsible for the design and extension of the current Microphysiology Database, and centrally involved in coordinating the collaboration between the UPDDI, TCTC, and NCATS.  Specifically we seek someone for managing: 1) extension of the database to support collection, management and validation of data from diverse organ models; 2) communications between multiple collaborating institutes; 3) integration of public data sources to obtain reference data for diverse organ models in development; and 4) development of statistical models to validate performance of the organ models and computational models to predict human toxicity from microphysiology data.

This full time position offers competitive salary and benefits commensurate with experience.

Required Qualifications:

  • BS in Computational Biology, Computer Science, Medical Informatics or a related field, or demonstrated experience in web application design and development with modern programming languages (e.g., Python, Javascript),
  • Experience in database design and development
  • Experience managing software development projects
  • Familiarity with popular APIs, frameworks, and technologies (e.g. jQuery, Django, AJAX).
  • Familiarity with Linux environment and version control (Git)
  • Strong communication and interpersonal skills
  • Ability to take initiative and work independently and as part of an interdisciplinary and national team

Desired Qualifications

  • Project Management Professional certification
  • Analytical, machine learning, and computational modeling skills.
  • Experience or knowledge of drug discovery, medical informatics, systems biology, pharmacology, or toxicology.

 

POSITION AVAILABLE: Start date ideally by October 2016.

Qualified candidates should email a CV to:  Christine Grabowski at cmg72@pitt.edu