Computer Vision / Deep Learning Scientist

| Chicago
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Here at Tempus we believe the greatest promise for the detection and treatment of cancer and other diseases lies in building a deep understanding of the interaction between molecular and imaging attributes and clinical treatment.

We're on a mission to redefine how genomic and imaging data are used in a clinical setting. We are looking for Computer Vision / Deep Learning Scientist who are passionate about the prospect of building the most advanced data platform in precision medicine.

What You'll Do

  • Research and development of novel imaging data based machine learning algorithms for the product platform
  • Apply statistical and machine learning methods to analyze large, complex data sets
  • Communicate highly technical results and methods clearly
  • Interact cross-functionally with a wide variety of people and teams

Qualifications

  • PhD degree in a quantitative discipline (e.g. statistics, statistical genetics, imaging science, computational biology, computer science, applied mathematics, applied physics or similar) or equivalent practical experience
  • Experience developing, training, and evaluating deep-learning models using public deep learning frameworks (e.g. PyTorch, TensorFlow, and Keras)
  • Experience developing, training, and evaluating classical machine/deep learning models, such as, SVMs, Random Forests, Gradient Boosting, CNN, FCN, ResNet, GAN, etc.
  • Familiar with CUDA and GPU computing
  • Knowledge of different medical imaging modalities, such as DICOM formats and pathology images
  • Self-driven and work well in an interdisciplinary team with minimal direction
  • Thrive in a fast-paced environment and willing to shift priorities seamlessly

Nice to Haves

  • Kaggle.com competitions and/or kernels track record
  • Experience with AWS architecture
  • Experience working with survival analysis, clinical and/or genomic data
  • Experience working with Docker containers and cloud-based compute environments.
  • Familiarity with neural network techniques (batch-norm, residual connections, inception modules, etc)
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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavascriptLanguages
    • PythonLanguages
    • SqlLanguages
    • AWSLanguages
    • ReactLibraries
    • ReduxLibraries
    • Node.jsFrameworks
    • Microsoft SQL ServerDatabases
    • MySQLDatabases
    • PostgreSQLDatabases
    • SQLiteDatabases
    • tableuAnalytics
    • JIRAManagement
    • SalesforceCRM

Location

600 WEST CHICAGO AVENUE, Chicago, IL 60654

An Insider's view of Tempus

What makes someone successful on your team?

We value creativity in ideation, autonomy in execution, and a healthy tendency to always question the status quo.

Ash

Lead Data Scientist

What are Tempus Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Eat lunch together
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Paid Volunteer Time
Paid Holidays
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Happy Hours
Relocation Assistance
Fitness Subsidies
Professional Development Benefits
Diversity Program
Lunch and learns
Promote from within
Time allotted for learning
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