Element Biosciences
Staff Data Scientist - AI/ML | Element Biosciences
Element Biosciences, San Diego, California, United States, 92189
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
Staff Data Scientist
to join our dynamic team. The ideal candidate will have extensive experience in data science and machine learning, with a strong 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. This role will report to the VP, AI and will be a hybrid role .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 insightsDevelop and implement machine learning models to support various research projectsApply advanced image processing techniques to analyze biological imagesCollaborate with cross-functional teams to design and execute experimentsExplore and analyze large datasets to identify patterns and trendsCommunicate findings and insights to stakeholders through reports and presentationsStay updated with the latest advancements in data science, machine learning, and biotechnologyEducation 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 experienceExpertise in data science and machine learning techniquesProficiency in working with multiomic and single-cell data is a plusExperience with advanced image processing techniques is a plusStrong background in statistics is a plusProficiency in common data science tools and programming languages such as Python, PyTorch, Scikit-learn, Pandas and other relevant toolsExperience with cloud computing platforms (e.g., AWS)Familiarity with bioinformatics tools and databasesKnowledge of experimental design and statistical analysisExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsPhysical Requirements:Frequently moves boxes weighing up to 20 pounds.Location:San Diego/HybridTravel:Domestic travel up to 10%Job Type:Full-time/ExemptBase Compensation Pay Range:$145,000 - $190,000In 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.
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Staff Data Scientist
to join our dynamic team. The ideal candidate will have extensive experience in data science and machine learning, with a strong 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. This role will report to the VP, AI and will be a hybrid role .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 insightsDevelop and implement machine learning models to support various research projectsApply advanced image processing techniques to analyze biological imagesCollaborate with cross-functional teams to design and execute experimentsExplore and analyze large datasets to identify patterns and trendsCommunicate findings and insights to stakeholders through reports and presentationsStay updated with the latest advancements in data science, machine learning, and biotechnologyEducation 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 experienceExpertise in data science and machine learning techniquesProficiency in working with multiomic and single-cell data is a plusExperience with advanced image processing techniques is a plusStrong background in statistics is a plusProficiency in common data science tools and programming languages such as Python, PyTorch, Scikit-learn, Pandas and other relevant toolsExperience with cloud computing platforms (e.g., AWS)Familiarity with bioinformatics tools and databasesKnowledge of experimental design and statistical analysisExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsPhysical Requirements:Frequently moves boxes weighing up to 20 pounds.Location:San Diego/HybridTravel:Domestic travel up to 10%Job Type:Full-time/ExemptBase Compensation Pay Range:$145,000 - $190,000In 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.
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