Position:
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Associate Data Scientist
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Plays a critical role in the Platform Data team
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Focused on analytics, algorithm development, and software integration
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Supports drug discovery using cutting-edge tools and workflows
Company:
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Terray Therapeutics
Location:
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Monrovia, California, United States
Job type:
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Full-time
Job mode:
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On-site
Job requisition id:
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Not specified
Years of experience:
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Not explicitly mentioned; looks like an entry level role only as per the job description
Company Description:
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Terray Therapeutics is a next-generation biotechnology company built on the foundation of innovation and precision.
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The company is deeply integrated with modern technologies such as artificial intelligence, synthetic chemistry, nanotechnology, and automation to revolutionize drug discovery.
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Terray operates a closed-loop system that accelerates the identification of promising chemical compounds.
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Through the power of AI and massive datasets, the company can decode complex biochemical relationships.
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This powerful engine captures billions of chemical interactions daily and applies machine learning to sharpen each discovery cycle.
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Terray’s long-term vision is to transform the landscape of medicine by making drug discovery highly predictable and data-driven.
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Their approach addresses the unmet medical needs of today with a speed and precision that were previously impossible.
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Terray is backed by top-tier venture capital and helmed by industry veterans and visionaries.
Profile Overview:
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The Associate Data Scientist will join Terray’s Computational and Data Sciences (CDS) team, specifically the Platform Data unit.
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This team plays an instrumental role in managing and analyzing datasets from both wet-lab experiments and computational processes.
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The position is geared toward individuals who thrive in cross-disciplinary environments where data, computation, and biology converge.
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You'll be developing analytical methods and quality control tools for proprietary processes.
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Close collaboration with software engineers, lab scientists, and data scientists ensures continuous refinement of Terray’s unique platform.
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Responsibilities include designing data visualizations, integrating algorithms into internal tools, and helping interpret results for further research.
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Candidates are expected to bridge the gap between raw experimental data and actionable scientific insights.
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The role is hands-on, requiring active involvement in both exploratory data analysis and the deployment of data products.
Qualifications:
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A degree in Statistics, Data Science, Bioinformatics, or related quantitative disciplines is essential.
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Demonstrated experience in Python, especially with libraries such as pandas, numpy, matplotlib, seaborn, and altair.
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Proficiency in using Linux-based systems is expected.
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Familiarity with database query languages and version control systems such as Git.
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Exposure to or interest in wet-lab environments and data derived from them.
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Experience with statistical analysis applied to real-world, complex, and often unstructured datasets.
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Understanding of UI/UX design concepts, including the ability to receive and incorporate user feedback.
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Effective communication skills and the ability to translate scientific questions into computational tasks.
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The ability to function in a collaborative environment while owning your domain-specific responsibilities.
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A mindset of curiosity, problem-solving, and continual learning is key.
Core Responsibilities:
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Collaborate with lab scientists to explore and validate insights from experimental datasets.
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Interpret findings and identify opportunities to enhance drug discovery workflows.
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Build and maintain data quality metrics that ensure experimental reproducibility and integrity.
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Develop intuitive, user-friendly visualizations for interpreting large-scale datasets.
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Create robust algorithms and integrate them into user-facing internal software.
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Use your understanding of computational science to support lab operations and ensure alignment between software tools and biological workflows.
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Continuously refine analytical methods through iterations and collaborative feedback loops.
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Partner with various functional teams to ensure consistency and high performance across platforms.
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Help evolve Terray’s data infrastructure and tools for scalability and efficiency.
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Engage in discussions around project strategy, priorities, and technology trends relevant to data science in biotechnology.
Additional Info:
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The compensation range for this position is between $100,000 and $154,000 annually, depending on seniority.
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The package includes participation in the company’s equity option plan, ensuring long-term alignment with business growth.
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Terray provides a 3% retirement safe harbor contribution, supporting employees' financial security.
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The company covers 100% of medical, dental, vision, life, and disability insurance premiums.
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The work environment is designed to promote empowerment, creativity, and hands-on contribution.
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Terray emphasizes ownership, accountability, and shared success.
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The company encourages experimentation and rapid iteration, both in software and scientific processes.
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The culture fosters recognition, collaboration, and the pursuit of innovation.
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This is a high-impact role that provides visibility across the company’s drug discovery pipeline.
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Ideal for professionals who want to work at the frontier of AI-driven biotechnology.
Please click here to apply.
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