Scientific Innovation Leader

We are seeking a highly skilled and innovative Data Scientist to spearhead the development of our cutting-edge AI platform. As a member of our team, you will be instrumental in driving the application of next-generation AI to chemistry and scientific reasoning.

About Our Team:

We are comprised of seasoned experts from both the pharmaceutical and technology sectors, tackling significant technical challenges with the potential for substantial real-world impact. Our team's expertise spans across interdisciplinary fields, including chemistry, physics, and computer science.

We are developing the forefront of applied AI and scientific automation, and we're at an exciting phase of growth. We're looking for individuals who can thrive in a fast-paced, agile startup environment, working towards a bold vision of innovation.

Job Summary:

As a Data Scientist, you will be responsible for building client-facing AI products, driving innovation, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams to achieve organizational goals in pharmaceutical development.

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

• 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.

Requirements:

To succeed in this role, you will need:

• Bachelor's or Master's in Computer Science, Data Science, or related field.
• Course certificates in Data Science.
• 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
• Proficiency in statistical and machine learning techniques.
• Background or project work in materials physics/chemistry or a related field is an added advantage.

Skills:

To excel in this position, you should possess:

• 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 cheminformatics 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.

Skills:

We're looking for team players with a collaborative mindset, strong problem-solving and critical-thinking abilities, excellent communication skills to convey complex ideas to varied audiences, and an efficient and flexible disposition, able to rapidly learn new fields and use data science and machine learning to improve decision-making and workflows.