Position Overview: We’re seeking a talented Machine Learning Engineer to join a forward-thinking team that's at the forefront of revolutionizing drug discovery. In this role, you'll leverage machine learning to accelerate scientific breakthroughs, working alongside cross-functional experts to drive innovation in the pharmaceutical industry. This is a unique opportunity to contribute to high-impact projects that directly affect the future of healthcare.
About the Team: Join a dynamic and interdisciplinary group focused on advancing computational science and engineering. The team is dedicated to building an advanced data ecosystem that drives scientific discoveries and decision-making. Through close collaboration with informatics and research communities, the team is creating scalable and integrated solutions that maximize the value of every data point.
Your Role: As a Machine Learning Engineer, you’ll play a pivotal role in deploying machine learning models that streamline the drug discovery process. You’ll collaborate with leading data scientists, biologists, and engineers to tackle complex problems and build tools that allow for the efficient analysis of diverse datasets. Your work will help shape the future of medical research and development.
Key Responsibilities:
- Design, develop, and deploy ML models in production, ensuring scalability and reliability.
- Tackle core challenges in ML algorithm design and implementation, with a focus on efficiency.
- Collaborate with scientists and data engineers to create innovative solutions for large-scale biomedical data analysis.
- Build interactive tools that enable stakeholders to explore and analyze multimodal data sets.
- Contribute to a culture of innovation, driving continuous improvement across the team.
Who We’re Looking For: We’re looking for someone with a passion for solving complex problems using machine learning, who can think critically and work collaboratively. You’ll need a proven track record of deploying ML models in real-world environments and experience working with diverse data, especially in the biomedical or pharmaceutical space.
Qualifications:
- Education: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field (advanced degrees preferred).
- Experience: 4+ years of hands-on experience developing and implementing ML models in an industry setting.
- Technical Skills:
- Proficiency in Python and ML frameworks such as JAX, PyTorch, TensorFlow.
- Familiarity with MLOps practices and tools like Weights and Biases.
- Experience working with large-scale, diverse datasets, including genetics, genomics, imaging, or clinical data.
- Understanding of statistical modeling and data analysis.
- Soft Skills:
- Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- A team player with experience collaborating with research scientists, engineers, and external partners.
- Strong problem-solving abilities and a commitment to continuous learning.
Why This Role?
- Be part of a high-impact, high-visibility team that’s reshaping the way therapeutics are discovered and developed.
- Work in an innovative, fast-paced environment with access to cutting-edge technologies.
- Opportunities for growth, with the potential to convert to a full-time position after 3-6 months based on performance.
Work Environment:
- This position offers a hybrid work schedule, with an expectation to work on-site at least three days a week.
This is your chance to apply your machine learning expertise to transform the future of drug discovery. If you're driven by the challenge of solving complex problems and want to make a real impact, we want to hear from you!
