Machine Learning and Strategy Special Projects

0 - 3 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As an individual contributing to high-impact special projects at Ocugen, you will be responsible for applying data analytics across various domains such as research, clinical, and commercial. Your primary focus will involve collaborating with R&D and Corporate stakeholders to develop predictive AI/ML models using large-scale datasets. Additionally, you will play a key role in shaping the ophthalmology gene therapy strategy and implementation through impactful content creation. - Develop predictive AI/ML models using large-scale datasets in collaboration with R&D and Corporate stakeholders. - Shape the ophthalmology gene therapy strategy and implementation through impactful content creation. - Deploy machine learning tools for commercial activities such as commercial planning and launch timelines. - Ingest public data, perform data clean-up for model compatibility, integrate external and internal datasets, and optimize multi-model models. - Provide ad-hoc support to Commercial, Strategy, Business Development, and finance teams as needed. - BS, MS, Ph.D in computational biology, bioinformatics, machine learning, computer science, data analytics. - Proficiency in statistical analysis, specifically Markov Model. - Less than 1 year of industry experience. - Ability to work under tight deadlines. - Strong attention to detail and exceptional organizational skills. - Self-motivated with a focus on delivering high-quality, on-time results. - Excellent communication and collaboration skills with a team-oriented approach. - Proven ability to identify and resolve issues and effectively manage timelines. Please note that this role operates primarily in an office setting with limited remote work opportunities. Additionally, there may be occasions where availability outside standard hours is required to address priority business needs. This position is predominantly sedentary in nature.,

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