Position 

We are seeking an accomplished and forward-thinking Senior Data Science, Biology to join our dynamic team. As a Senior Data Science, Biology, you will lead the analysis and interpretation of complex biological data, leveraging advanced computational techniques to drive critical insights for our biotech research and development initiatives. 

About You  

The ideal candidate is passionate about harnessing the latest advances in AI including large language models (LLMs), multi-agent systems, and retrieval-augmented generation (RAG) to unlock insights from biological data. They bring deep proficiency in Python and a track record of building agentic workflows that automate complex, multi-step analytical tasks. They have extensive experience with genomics, transcriptomics, proteomics, and multi-omics data, and are excited to apply modern AI paradigms to these domains. Their strong foundation in bioinformatics is complemented by hands-on experience with AI frameworks and tools, allowing them to bridge the gap between biological science and cutting-edge AI engineering.

What You’ll Do 

• Lead and collaborate with interdisciplinary teams to analyze and interpret diverse biological data sets, including genomics, proteomics, and multi-omics data.
• Apply cutting-edge AI and machine learning techniques including LLMs, deep learning, and foundation models to extract meaningful patterns and actionable insights from complex biological data.
• Design and implement agentic AI workflows that orchestrate multiple AI models and tools to autonomously analyze biological pathways, interactions, and phenomena.
• Contribute to experimental design, generating high-quality data for analysis, modeling, and hypothesis testing.
• Integrate and harmonize disparate data sources to provide comprehensive insights and support research projects.
• Develop and optimize agentic AI pipelines that automate multi-step biological data analysis tasks, enabling reproducible, high-throughput processing at scale.
• Communicate technical findings and insights effectively to both technical and non-technical stakeholders.
• Stay at the forefront of AI research including advances in LLMs, agentic systems, and multimodal models and rapidly translate these innovations into biological data analysis applications.

Qualifications 

• Bachelor’s degree with 5+ years of experience or a Master’s degree with 3+ years of experience in Bioinformatics, Computational Biology, Biostatistics, or a related field or a PhD without experience.
• Proficiency in programming languages such as Python, R, or similar languages commonly used in biological data analysis.
• Hands-on experience building and deploying AI systems, including LLMs, agentic workflows, and multi-agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar).
• Demonstrated expertise in analyzing and interpreting complex biological data sets, including genomics, transcriptomics, proteomics, and more.
• Strong familiarity with bioinformatics tools, databases, and resources for data integration and analysis.
• Excellent communication and collaboration skills, enabling effective teamwork and technical communication.
• Detail-oriented mindset with exceptional problem-solving skills in analyzing intricate biological data.
• Genuine enthusiasm for applying the latest AI breakthroughs agentic AI, LLMs, and autonomous pipelines to solve open problems in biological data science.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​

• 401k plan with company matching​
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​
• Mental health and wellness benefits​
• Weeklong summer and winter holiday shutdowns​
• Generous paid time off and holiday policies​
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies ​
• Enhanced parental leave benefit​
• Daily subsidized lunch program when on-site​

The expected salary range for this role is $178,000 to $194,750 depending on skills, competency, and the market demand for your expertise.