Sr Engineer II, Machine Learning

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness. We are seeking a highly skilled and motivated Senior Engineer II, Machine Learning to join our dynamic team. The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision. This role involves creating, exploring, and analyzing models, as well as applying advanced image processing techniques to drive our research and development efforts and contribute to critical programs. This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego. If you possess the following and want to make a meaningful impact, we invite you to explore this role. Essential Functions and Responsibilities: Analyze and interpret multiomic and single-cell data to derive meaningful insights Develop and implement machine learning models to support various research projects Apply advanced image processing techniques to analyze biological images Collaborate with cross-functional teams to design and execute experiments Explore and analyze large datasets to identify patterns and trends Communicate findings and insights to stakeholders through reports and presentations Stay updated with the latest advancements in data science, machine learning, and biotechnology Education and Experience: Master's degree in Data Science, Bioinformatics, Computational Biology, or a related field with 5-7 years of relevant experience, or PhD with 0-3 years of experience Expertise in data science and machine learning techniques is a plus Proficiency in working with multiomic and single-cell data is a plus Experience with advanced image processing techniques is a plus Strong background in statistics is a plus Proficiency in common data science tools and programming languages such as Python, PyTorch, Scikit-learn, Pandas and other relevant tools Experience with cloud computing platforms (e.g., AWS) Familiarity with bioinformatics tools and databases Knowledge of experimental design and statistical analysis Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Physical Requirements: Frequently moves boxes weighing up to 20 pounds Location: San Diego – on-site Travel: Domestic travel up to 10% Job Type: Full-time/Exempt Base Compensation Pay Range: $139,500 - $183,500 In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.