Data and Machine Learning Scientist

Catalytic Data Science - Westport, CT

Full-time - Mid Level

Remote - Westport, CT

About the position

The Data and Machine Learning Scientist position at Catalytic Data Science (CDS) involves leveraging machine learning techniques to analyze large-scale biological data, contributing to advancements in human health and pharmaceutical research. The role requires a self-motivated individual who can work independently and collaboratively within a multidisciplinary team, reporting directly to the Chief Science Officer. The successful candidate will play a crucial role in designing and implementing machine learning methods, fostering collaborations, and providing technical guidance to customers.

Responsibilities

• Design and implement ML methods on proprietary and open access datasets
• Utilize large-scale datasets to generate statistically motivated research hypotheses
• Apply statistical methods to rigorously test and evaluate research hypotheses
• Develop and foster external collaborations
• Provide expert technical guidance and support customers in the design and analysis of experiments
• Work both independently and as part of a collaborative team to develop data analysis and machine learning solutions
• Implement, evaluate, and improve NLP algorithms on large scale datasets.

Requirements

• Ph.D. degree with 3+ years (or MS degree with 5+ years) of working experience in industry in the field of systems biology, bioinformatics, computational biology, data science, ML, or equivalent
• Extensive experience applying ML techniques to large scale datasets
• Proficient in either R or Python
• Experience with ML frameworks such as Torch, PyTorch, TensorFlow, Scikit-learn, etc.
• Familiarity with Atlassian JIRA
• Familiarity with Large Language Models
• Excellent personal and communication skills, including solid presentation and writing skills
• Must be self-motivated, a quick learner, dedicated to achieving excellence, and love to take on new challenges.

Benefits

• Remote work