Offer summary

Qualifications:

Ph.D. or Master's in Cheminformatics or Computational Chemistry., 10+ years of experience in drug discovery and data modeling., Proficiency in Python and AI/ML tools like TensorFlow or PyTorch., Strong problem-solving skills and excellent communication abilities..

Key responsibilities:

Develop and enhance AI-powered prediction models for chemical formulations.

Collaborate with software engineers to integrate computational models into the AI platform.

Analyze large datasets to uncover patterns and improve prediction accuracy.

Engage with customers to tailor solutions for their R&D challenges.

Job description

Skills:
Data and computational scientist, Phd in cheminformatics, Drug industries, Pharma data scientist, Data and computational scientist - Pharma background, Data and computational scientist - drug industry,

Data and Computational Scientist

As a Data and Computation Scientist, you will be an instrumental part in building Novoterras AI product. The role is pivotal in driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams to achieve organizational goals in pharmaceutical development.

Key Responsibilities

Platform Development
Develop and enhance AI-powered prediction models to predict and optimize chemical formulations.
Collaborate with software engineers to integrate advanced computational models into the AI platform.
Data Analytics and Modeling
Categorize the chemistry reaction data based on thermodynamic, kinetic and other properties.
Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities.
Develop and validate statistical and machine learning models to improve prediction accuracy and reliability.
Optimization and Scalability
Improve the computational efficiency and scalability of existing models to handle diverse customer needs.
Drive efficient use of computational and cloud resources, minimizing redundancy and controlling operational expenses.
Ensure all computational tools and methodologies comply with industry standards and best practices.
Cross-Functional Collaboration
Work closely with domain experts, software engineers, and project managers to ensure seamless integration of scientific methods into practical applications.
Communicate findings and recommendations effectively to technical and non-technical stakeholders.
Customer Engagement
Collaborate with customers to understand their R&D challenges and aid in tailoring the platform to address specific use cases.
Deliver insights and solutions based on predicted outputs, ensuring alignment with customer sustainability and performance goals.

Qualifications

Education
Masters or Ph.D. in Cheminformatics, Computational Chemistry
Course Certificates in Data Science
Experience
10+ years of total experience, relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
4+ years of experience in data modeling, computational analysis, or similar roles, preferably in manufacturing, R&D, or chemical industries.
Proficiency in statistical and machine learning techniques.
Background or project work in materials physics/chemistry or a related field is an added advantage not mandatory
Technical Skills
Mandatory: Programming experience in Python (preferred), R, or similar languages.
Mandatory: Hands-on experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn.
Mandatory: Expertise in cheminformatic data analysis and large-scale data handling.
Desired: Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations.
Experience with databases (SQL/NoSQL) and data visualization tools.
Soft Skills
Strong problem-solving and critical-thinking abilities.
Excellent communication skills to convey complex ideas to varied audiences.
Team player with a collaborative mindset.
Efficient and flexible disposition, able to rapidly learn new fields and use data science and machine learning to improve decision making and workflows.