Data Scientist - Machine Learning

October 20

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Catalytic Data Science

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SaaS Enterprise Solution • Integrated Digital Workspace • Better R&D, Faster • Big Data Aggregator • Digital Research Platform

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Description

• Design and implement ML methods on proprietary and open access datasets; • Utlizie 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.