About Dalton: Dalton is on a mission to make the world's drug design more efficient. We are building the AI ecosystem for drug design and solving real-world problems that transform the efficiency of the pharmaceutical industry. Our mission is to harness cutting-edge technology and turn it into impactful products for our clients. Join us on our journey to revolutionize drug discovery and make a difference in the lives of patients worldwide.
Why Join Dalton? Dalton offers an exciting and collaborative environment where you can contribute to improving the efficiency of the world's drug discovery. We value innovation, creativity, and commitment. Join us in our mission to change the world.
Role Overview: We are seeking a highly skilled and motivated ML Engineer to join our team dedicated to advancing drug discovery by translating the best AI Research intro drug discovery impact. The ideal candidate will have a strong background in ML engineering and a passion for leveraging data and AI to drive innovation in the pharmaceutical and biotechnology industries.
If you are a dedicated and detail-oriented ML Engineer with a passion for drug discovery, we would love to hear from you. Apply now to become a part of our dynamic team and contribute to groundbreaking advancements in the field of technology and drug discovery.
Requirements
Key Responsibilities:
- Collaborate with cross-functional teams to integrate machine learning models into impactful scientific products
- Analyze large-scale biological and chemical datasets to identify patterns and generate actionable insights
- Build a highly scalable machine learning platform that can be used to integrate cutting-edge ML models into a drug discovery process.
- Design, build and maintain scalable machine learning infrastructure to support high-throughput data processing.
- Continuously evaluate and improve model performance, ensuring high accuracy and reliability.
- Stay current with the latest advancements in machine learning for drug discovery and apply this knowledge to your work.
Capabilities:
- Master's or Ph.D. in Computer Science, Bioinformatics, Computational Biology, Cheminformatics or a related field.
- Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience in working in the Pharmaceutical, Biotech or similar scientific discovery industries
- Strong programming skills in Python
- Familiarity with big data technologies such as Spark, Kafka, and Iceberg.
- Knowledge of data modeling, database design, and data warehousing concepts.
- Proficiency in data visualization tools like Superset, Grafana, or Metabase.
- Strong problem-solving skills and ability to work independently and as part of a team.
- Excellent organizational and time-management skills.
- Passion for drug discovery and a desire to make a significant impact in the field.
