Clarapath-Sr Data Scientist

Job Description

Sr. Data Scientist

About Clarapath Inc.

Founded in 2014, Clarapath's mission is to transform the laboratory space and advance how hospitals provide laboratory care. Healthcare costs continue to sky-rocket and a foundational element to providing high-quality, low-cost, convenient care to patients requires constant innovation. Our company is strategically backed by one of the largest hospitals in the country, as well as visionary pharmaceutical and academic leaders. In collaboration with our partners, we hope to provide the next generation of patients with better care, as well as enable life-saving drugs for future generations. From our fully-automated, precision sectioning technology to world-class imaging and analysis expertise, our team represents the future of digital pathology. To continue our track record of growth we are looking for the best talent, those who take the initiative, are self-directed learners, are team players, have a passion for solving complex problems and those who want to make a societal impact. We offer challenging opportunities to join a uniquely innovative company that straddles the worlds of medical devices, industrial

automation and technology.

Clarapath has achieved a significant milestone with successfully acquiring Crosscope, a prominent California-based digital pathology company. Crosscope is renowned for its comprehensive imaging solution, which encompasses top-tier workflow tools, slide management capabilities, and cutting-edge artificial intelligence (AI) and machine learning (ML) technologies. This acquisition strategically bolsters Clarapath's offerings, empowering pathologists with enhanced decision-making capabilities through accelerated and improved processes

To learn more about us, please visit us at http : / / www.clarapath.com.

Key Responsibilities :

It will be an individual contributor role)

• Design and develop predictive models, ML algorithms, statistical analyses and feature

engineering to solve complex problems for hardware feedback, ease of use for customers,

retrospective data analysis and expanding product capabilities

metrics, ensuring they meet industry-specific requirements.

implementation, validation, and deployment.

audience, including technical and non-technical stakeholders.

Qualifications and Skills :

clinical machine learning, or a related field, or equivalent practical experience (e.g., a

Master's degree plus 6 years of relevant industry experience)

healthcare data analysis and modeling.

segmentation, recognition, classification, and domain adaptation.

datasets using Linux / Bash.

learning, transfer learning, multi-modal modeling, few-shot learning, and more.

non-technical healthcare stakeholders.

Other details :

Other Benefits :