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University of Rochester Analyst/Programmer - 232670 in Rochester, New York

Analyst/Programmer Job ID 232670

Location School of Medicine & Dentistry Full/Part Time Full-Time Favorite Job Regular/Temporary Regular Opening

Full Time 40 hours Grade 053 Ctr for Advanced Research Tech

Schedule

8 AM-5 PM

Responsibilities

POSITION SUMMARY:

Provides data analysis support to the Technical Director of the Center for Advanced Light Microscopy and Nanoscopy, Shared Resources Labs, involving performing essential image analysis consultations for imaging core users with data derived from multiphoton and other fluorescence imaging microscopy methodologies, establishing image pre-processing workflows at the imaging core, managing databases, developing customized data analytics tools, incorporating newly developed algorithms into commercial software, presenting algorithms/results, and providing input to investigators on statistical issues and experimental design. Work will also involve interacting and collaborating with other data scientists in different departments and core facilities to share and exchange code and methodologies.

SUPERVISIONJ AND DIRECTION EXERCISED:

Position is supervised by Kaye Thomas, PhD

,MACHINES AND EQUIPMENT USED:

MacIntosh and PC Computers, image analysis software (ImageJ, Imaris, Volocity), programming language (Matlab/Python/C/C++), statistical toolboxes (SAS/R/Minitab/Stata)

TYPICAL DUTIES:

Data Analysis (50%)

25% Develops novel methods, algorithms, and models to analyze 3D/4D light microscopy images by teaming with different experimentalists for particular studies; evaluates and analyzes existing methods, algorithms, and models. Modifies existing programs and recommends necessary action. Determines and reconciles the causes of computer or program malfunctions.

20% Develops, tests, maintains, and evaluates image pre-processing toolboxes and platform for imaging core users’ general use

5% Offers solutions and suggestions to provide optimum efficiency

Training and Consultation (35%)

20% Facilitates image analysis training for users and other researchers on campus through workshops, seminars, etc.

15% Consults with imaging core users and investigators to provide consultation support on image analysis methodologies and statistical issues

Data Management (10%)

10% Manages and organizes the image data and other digital files acquired and stored at the imaging core facility.

5% Interacts closely and collaborates with other data scientists at the shared resource laboratories and related departments. Keeps abreast of trends as they relate to the field by self-study, participating in job related seminars, courses or conferences which enhance personal development and strengthen the user service function.

Other projects and job duties as assigned.

QUALIFICATIONS:

  • Bachelor’s degree in appropriate discipline such as Computer Science, Mathematics, Statistics, or Engineering plus 3-4 years of related experience and advanced level of expertise and understanding with computational languages; or an equivalent combination of education and experience. Master’s degree in relevant field desirable.

  • Experience and demonstrated ability with working in different programming languages, such as Matlab, Python, R, SAS etc.; experience in integrating custom code into commercial image analysis software (ImageJ, Imaris, Volocity) is highly desirable.

  • Strong presentation, interpersonal, and communication skills, including written communication..

  • Strong ability to work both independently and collaborating with a team.

  • Experience in 3D and 4D image analysis, data segmentation, 3D reconstruction, data visualization, and big data management and storage.

  • Familiarity with machine learning, neural network, and artificial intelligence is strongly preferred.

  • Knowledge of supercomputer, and batch/cluster computing is highly desirable.

NOTE: This document describes typical duties and responsibilities and is not intended to limit management from assigning other work as required. Position will also be rated according to attendance record.

How To Apply

All applicants must apply online.

EOE Minorities/Females/Protected Veterans/Disabled

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