Senior Data Scientist

4 weeks ago

San Diego, United States Qureator Full time

Job description

Qureator, Inc.

About Us

Headquartered in San Diego, California, we are an early-stage, well-funded Techbio company specializing in innovative drug discovery solutions. Our proprietary 3D organ-on-a-chip platform, Curiochips, offers significant advantages in accurately recapitulating both normal and disease states of the human body. This capability has been validated through multiple ongoing collaborations with hospitals, government institutions, and major pharmaceutical companies.

Our Mission

At Qureator Inc., we are committed to revolutionizing the drug discovery process. Our mission is driven by the Qureator platform's unparalleled ability to replicate complex disease phenotypes, surpassing the limitations of traditional preclinical models. By bridging the gap between laboratory research and real patient outcomes, we aim to accelerate the development of treatments for a wide range of conditions, from cancers to rare diseases.

Our Approach

We tackle diseases that lack clear in vitro models, setting new standards in preclinical research. Our comprehensive approach to phenotypic analysis includes detailed disease tissue phenotyping, which is essential for observing complex drug responses. This effort is crucial for advancing treatments informed by the complexities of human biology.


Position: Senior Data Scientist

We are looking for a highly innovative and motivated individual to join us as a Senior Data Scientist. You will play a crucial role in our mission to harness the power of data and machine learning to drive the understanding of the correlation between our state-of-the-art in vitro disease models and clinical response. The works will lead our exploration in developing novel data visualization and machine learning methods to define disease states in our tissue models. 

Working at the intersection of data science and drug discovery, you will collaborate with cross-functional teams of engineers, biologists, and data scientists to analyze complex biological and chemical data, develop predictive models, and uncover novel insights to guide therapeutic discovery efforts. The successful candidate will participate in the development of 3D-imaging profiling methods and lead the implementation of machine learning methods to visualize and categorize high dimensional data.


You will be able to:

  • Obtain full exposure to Qureator technology and disease models
  • Apply innovative ideas and novel methods into the data-analysis workflow
  • Participate in close discussion with engineers and biologists, receiving constant feedback
  • Learn and grow into leadership roles within the company


Responsibilities will include but are not limited to:

  • Develop image and biochemistry data analysis and feature extraction workflows for Qureator’s 3D cell culture platform
  • Investigate potential directions for understanding and comparing multi-cell-type tissue responses
  • Lead the exploration and implementation of machine learning methods to utilize high-dimensional data for treatment profiling
  • Introduce and establish core skills for the data-science team, fostering a culture of continuous learning and professional development
  • Develop and maintain software tools to support biological research
  • Collaborate in a fast-paced, multi-tasking environment with the biology and engineer teams to achieve group objectives


Preferred Qualification

  • PhD in in computer science, mathematics, computational biology or comparable areas with at least two years of project-leading experience
  • Master’s degree in similar fields with 3-5 years of industrial experience, including at least two years of project-leading experience
  • Deep understanding of the application, mathematical foundation, and model building of machine learning methods
  • Proven experience in developing AI/ML models for image analysis, preferably with 3D imaging data 
  • Publications in top-tier conferences or journals related to AI/ML
  • Understanding of biology or experience collaborating with biologists.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Strong written, oral communication, and interpersonal skills.


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