Data Science & Machine Learning Engineer

Job Overview

Life Science Data Systems is seeking a skilled and innovative Data Science & Machine Learning Engineer to develop advanced analytical models and data-driven solutions for life sciences and healthcare-related datasets. This role is ideal for someone passionate about AI, biomedical data, and applying machine learning to improve scientific and healthcare outcomes.

Key Responsibilities

• Develop and deploy machine learning models for healthcare and life science data
• Analyze complex biomedical and clinical datasets to generate actionable insights
• Build scalable data pipelines for research and production environments
• Collaborate with scientists, researchers, and engineering teams on data projects
• Clean, process, and transform large datasets for modeling and analysis
• Evaluate and optimize ML models for accuracy, reliability, and performance
• Create dashboards and visualizations to support research findings
• Stay updated with advancements in AI, bioinformatics, and data science

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, Statistics, or related field
• Strong proficiency in Python, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
• Experience with statistical modeling and data analysis techniques
• Familiarity with healthcare or life science datasets is a plus
• Knowledge of cloud platforms and data engineering tools preferred
• Strong analytical thinking and problem-solving skills
• Ability to work independently and collaboratively in research-driven environments

Benefits

• Competitive compensation package
• Opportunity to work in healthcare and life sciences innovation
• Exposure to cutting-edge AI and biomedical research projects
• Career growth in data science and machine learning
• Collaborative and research-focused environment

Job Type

• Full-time

Location

San Francisco, California

Pay: $21.00 - $28.00 per hour

Work Location: In person