Senior Data Scientist, Biology

About the role

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.

Responsibilities

• 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.

Requirements

• 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.

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.

Skills

• 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.

Benefits

• 401(k) 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

Pay

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

Schedule

Not specified