Innovative Data Scientist Role

Transform Your Career with a Data Scientist Role

About the Opportunity:

We are a pioneering organization at the forefront of leveraging next-generation AI to revolutionize scientific reasoning and chemistry. As a key player in the industry, we are uniquely positioned to drive groundbreaking molecule discovery and development, focusing initially on pharmaceuticals and expanding into materials science.

Our team comprises seasoned experts from both pharmaceutical and technology sectors, tackling significant technical challenges with substantial real-world impact potential. Our leadership has extensive experience in biopharma and technology industries, ensuring our innovative solutions address pressing client needs.

We are developing cutting-edge applied AI and scientific automation, entering an exciting growth phase. We seek talented individuals to join us who can thrive in a fast-paced startup environment, driving innovation towards a bold vision.

Job Summary:

This Data Scientist role is pivotal in building our AI product for clients, 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 optimize chemical formulations.

- Collaborate with software engineers to integrate advanced computational models into our AI platform.

● Data Analytics and Modeling

- Analyze large chemistry datasets and R&D experiment results to uncover patterns, trends, and optimization opportunities.

- Develop and validate statistical and machine learning models to improve prediction accuracy and reliability.

● Optimization and Scalability

- Enhance computational efficiency and scalability of existing models to handle diverse customer needs.

- Drive efficient use of computational resources, minimizing redundancy and 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 tailor our platform to address specific use cases.

- Deliver insights and solutions based on predicted outputs, ensuring alignment with customer sustainability and performance goals.

Qualifications:

● Education:

- Bachelor's or Master's in Computer Science, Data Science, Cheminformatics, or Computational Chemistry.

- Course Certificates in Data Science.

● Experience:

- 6+ years of total experience, 3+ 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.

● Technical Skills:

- Mandatory: Programming experience in Python, 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.

● 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 apply data science and machine learning to improve decision-making and workflows.

Contact us via job post for more information about this opportunity.