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 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
● Evaluate the performance of AI/ML/Computer Vision models/algorithms using relevant
metrics, ensuring they meet industry-specific requirements.
● Participate in the full lifecycle of AI projects, from ideation and model development to
implementation, validation, and deployment.
● Create informative and visually appealing data visualizations and reports.
● Identify opportunities for innovation and improvement in analytics and data-driven decision-making.
● Communicate complex computer vision concepts, and project outcomes to a diverse
audience, including technical and non-technical stakeholders.
● Provide mentorship and guidance to junior AI scientists and data scientists
Qualifications and Skills:
● Seeking candidates with a Ph.D. in computer vision, machine learning, computer science,
clinical machine learning, or a related field, or equivalent practical experience (e.g., a
Master's degree plus 6 years of relevant industry experience)
● Proven 6 years of professional experience as a Data Scientist with a significant focus on
healthcare data analysis and modeling.
● Proven expertise in developing models for diverse computer vision tasks, including
segmentation, recognition, classification, and domain adaptation.
● Exceptional programming skills in Python, with the ability to process TB-scale image
datasets using Linux/Bash.
● Proficiency in utilizing modern deep learning frameworks such as PyTorch, JAX, Keras, etc.
● Extensive hands-on experience in working with biomedical imaging modalities.
● Strong familiarity with modern representation learning approaches like self-supervised
learning, transfer learning, multi-modal modeling, few-shot learning, and more.
● Excellent communication skills, with the ability to communicate technical concepts to
non-technical healthcare stakeholders.
● Passion for creating a positive impact on the world.
Other details:
● Job location : Powai, Mumbai.
● Work Experience : 6-8 years
● WFO Role
Other Benefits:
● Group Medical Coverage (GMC) Policy
● Group Personal Accident (GPA) Policy