Data Scientist

Key Skills

AI technology, Computer Vision (CV), Effective communication skills, Keras software library, Knowledge graph, Machine learning techniques, Natural Language Processing (NLP), Natural Language Understanding-NLU, NoSQL, Object-Oriented programming (OO languages), Optimization, Python Programming, PyTorch, R Programming, Scala Programming, Scikit-learn, SQL, TensorFlow

Job Description

Accelerate drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps.

In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation rich, research powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build.

Key Responsibilities

Work with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Engineers, Web Developers, Cloud Engineers, and Solution Architects to create the next generation of innovative computational solutions for drug discovery and development.

• Scope, Define, and deliver AI-based data products covering data analysis, visualization, storytelling, and data technologies
• Build models, algorithms, simulations, and performance evaluation by writing highly optimized, deployable code and using state-of-the art machine learning technologies
• Apply NLP techniques for mining knowledge from public and enterprise-proprietary data (structured, unstructured, and semi-structured) to derive insights that will help downstream processes.
• Develop models and serve with PyTorch / Tensor Flow (TF) for deep learning research
• Translate business requirements into tangible solution specifications and high quality, on time deliverables
• Build solutions for data discovery, data acquisition, data processing & cleaning, data integration & storage & data interpretation
• Define and manage the process of productionizing machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification & validation, and monitoring of AI/ML models
• Work with stakeholders to analyze & solve business problems using Machine learning & Artificial Intelligence capabilities & support deployment on cloud platform
• Stay abreast of industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organization future ready

Desired Skills / Expertise

• Bachelor's / Master’s / PhD in Computer Science or related technical field
• Experience and mathematical understanding in one or more of Natural Language Understanding, Computer Vision, Machine Learning, Optimization
• Experience in effectively building and deploying ML systems using frameworks such as PyTorch, Tensorflow, Keras, sklearn, etc.
• Expertise in modular, typed, and object-oriented Python programming
• Expertise with the core data science languages (such as Python, R, Scala), and familiarity & flexibility with data systems (e.g., SQL, NoSQL, knowledge graphs)
• Excellent communication skills with a desire to work in multidisciplinary teams