Grizmo Labs
Location
Bangalore | India
Job description
Responsibilities : You will get to work on data science projects that contribute to addressing meaningful problems in healthcare.- Using ai to solve core scientific and business problems in healthcare for pharmaceutical companies and patient care providers is only now taking off, thanks to the adoption and proliferation of large-scale biomedical data sets in the public and proprietary domains.- You will get to draw on applying ml, dl, and statistical computing models and techniques on various kinds of text, image, and molecular data sets from diverse sources to address problems that pertain to the entire drug development pipeline, from early-stage discovery to real-world analysis.- You will often work on more than one project and also interact closely or be part of teams building applications used by customers.- You will also have an opportunity to learn from and interact with an incredibly bright set of engineers as well as domain experts including biologists and clinical physicians at our cambridge (us) and bengaluru facilities.- Being a relatively early-stage company, you will also have tremendous opportunities to make key contributions and innovations (including filing international patents) and impact product offerings in a transparent and flat organization.- Join our data science and engineering team to undertake cutting-edge r and d projects in the above-mentioned areas.- Interact with team members, including domain experts, to build and engineer optimal solutions for customer problems and platform features.- Adapt and innovate on the latest data science and computer science techniques to develop solutions for real-world, large-scale problems in healthcare.- Be responsible for deploying, debugging, and ensuring high performance of developed solutions.Requirements : - Bachelor's/master's/phd in computer science or related technical field.- Experience and mathematical understanding in one or more natural language.- Understanding, computer vision, machine learning, optimisation.- Experience in effectively building and deploying ml systems using frameworks such as pytorch, tensorflow, keras, sklearn, etc.- Fluency in basics of computer science and engineering.- Proven relevant work experience.- Proven strong record of building and deploying data science models.- Demonstrated ability to design and execute on r& d agenda.- Experiencing in building large-scale high-performance systems.- Demonstrated ability in computer science and engineering. (ref:hirist.tech)
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