Data Scientist

Baylor College of Medicine

Houston, TX

Job posting number: #7255165 (Ref:19704-en_US)

Posted: June 14, 2024

Job Description


The St-Pierre Lab develops and applies new tools for perturbing and imaging the brain. We develop fluorescent indicators of neural activity (e.g., voltage indicators), light-gated proteins to control neural activity (e.g., optogenetic silencers), photostable fluorescent proteins (e.g., mGold YFP), and genetic circuits to control protein expression (e.g., Equalizers). See our recent publication in Cell that describes an exciting new voltage indicator for recording electrical dynamics in awake behaving mice ( We want to hire a Data Scientist to design advanced microscopy and image analysis software for the life science community. The Data Scientist will create exciting new features to and improve its analysis chops. The Data Scientist will work closely with two other lab members focusing on computational approaches (including machine learning) and with multiple experimentalists. Will have the opportunity to utilize your skills to develop cutting-edge technologies of value to human health while being part of an enjoyable workplace.

Position is hybrid.

Job Duties

  • Maintain and develop in-house scientific software
    • Develop or modify code for controlling microscope-based image acquisition
    • Develop or modify code for image analysis for fluorescence microscopy
    • Exemplar tasks include:
      • Create new workflow for a process
      • Adapt existing algorithm to a workflow
      • Modify a workflow for bug fixing, adding or generalizing features
      • Refactor code for simplicity and speed
      • Translate code from one language to another
      • Develop graphical user interface
      • Code review and collaborative editing
      • Benchmark a workflow for speed and anticipate run-time errors
      • Write test cases for a module
      • Write documentation and perform other technical communication
      • Work with team members on programming needs
  • Maintain database
  • Maintain and develop in-house server for data storage and higher performance computation
  • Maintain lab IT infrastructure
  • Assist lab members on relevant tasks
  • Perform other duties as assigned

Minimum Qualifications

  • Master’s degree in statistics, science, mathematics or related field.
  • Five years of relevant experience.

Preferred Qualifications

  • Master’s degree, Computer Science, Electrical Engineering, Computer Engineering, Math, Physics, Biology or a related field (STEM and quantitative fields in general).
  • Experience with MATLAB and/or Python programming (or other object-oriented programming languages such as C++)
  • Experience in image processing and image analysis
  • Experience in collaborative coding and version control

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.

Apply Now

Please mention to the employer that you saw this ad on

More Info

Job posting number:#7255165 (Ref:19704-en_US)
Application Deadline:Open Until Filled
Employer Location:Baylor College of Medicine
United States
More jobs from this employer
Institution Website