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 Computational Biologist-Postdoc to join our dynamic team. The ideal candidate will have extensive experience in computational biology and developing machine learning and statistical models on biological data, with a strong background in working with multi-omic and single-cell data. This role involves creating, exploring, and analyzing models to drive our research and development efforts towards therapeutic applications and discovery. This role will report to the VP, AIand is a 1-year Post-Doc program with the possibility of conversion to a full-time employment at the end of the program.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• Expertise in developing computational models for target discovery and therapeutic applications• 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• Partner with molecular biology, chemistry and data-engineering teams to validate in vitro findingsEducation and Experience:• PhD degree in Data Science, Bioinformatics, Computational Biology, or a related field with 0-3 years of experience• Expertise in data science and machine learning techniques• Proficiency in working with multiomic and single-cell data 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)• Proficiency with bioinformatics and computational biology tools and databases• Experience with single-cell multi-omic data analysis in the fields of oncology and immunology• Knowledge of experimental design and statistical analysis• Excellent problem-solving skills and attention to detail• Strong communication and collaboration skillsPhysical Requirements:• Ability to lift up to 20 poundsLocation:• San Diego/HybridTravel:• Domestic travel up to 10%Job Type:• Full-time/Temporary – 1 year contract• Post-doc programBase Compensation Pay Range:• $79,000 - $96,000In addition to base compensation noted above, you will be eligible for 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.