Position
We are currently seeking an experienced Informatics Engineer to contribute to the design, implementation, and development of our informatics processes and systems in support of all phases of our research pipelines. You will work closely with our scientists and engineers to capture and manage functional requirements, and you will be a core member of a team responsible for building scalable, AI-enabled solutions that fit into our information ecosystem and ensure the integrity of our data architecture.
About You
You are agile of mind and effectively communicate difficult concepts. You work well within a fast-paced, mission-driven, dynamic environment and possess a deep desire to pursue creative solutions with broad guidance and a high degree of independence. You are prepared to tackle a broad selection of challenges as the company grows. You can partner with R&D leadership and functional area scientists to proactively identify areas of need, design solutions, prioritize work, make "build versus buy" decisions, coordinate pilot studies, ensure appropriate system usage, and regularly report on system metrics and portfolio execution.
What You'll Do
- Actively participate in the administration, design, implementation, integration, development, and testing of informatics solutions, including LIMS/ELN software (e.g., Dotmatics, CDD Vault), Inventory Management systems (e.g. Mosaic), and AI/ML platforms (e.g., Databricks), to support R&D projects and scientific workflows.
- Design, build, and deploy AI agentic tools and LLM-powered workflows that automate scientific data processes and accelerate research decision-making
- Implement data warehouse / data lake systems and ETL pipelines to support advanced analytics and AI/ML strategy
- Design and build data automation pipelines and ETL processes that ingest, transform, and harmonize research data from multiple sources
- Collaborate with a cross-functional team to develop an end-to-end digital architecture roadmap
- Work with project stakeholders to analyze data management, data access, analytics, and visualization needs across R&D functions
- Gather user stories, design applications, implement and integrate systems, and guide the functionality of IT systems across the company
- Ensure that systems are fully documented with system requirements, architectural design, and operational plans
- Coordinate the training and support of end-users on system usage and best practices
- Participate in the design of enterprise-wide data platform architecture and ensure systems adhere to that architecture
- Stay up to date with emerging technologies and trends in LIMS engineering, AI/ML platforms, and agentic systems.
Qualifications
- BS plus 5 years of relevant experience or MS plus 3 years of relevant experience in computer science, life science, engineering, or a related field, or equivalent training, fellowship, and/or work experience
- Experience with ELN, LIMS, scientific data management, compound registration, sample inventory, instrument data capture, and assay results, such as Dotmatics and CDD Vault
- Experience with the administration, implementation, and integration of AI/ML and data lake platforms, such as Databricks
- Hands-on experience building AI agentic workflows or LLM-integrated applications, and applying them to real research or data problems
- Applicable experience in software development and/or systems integration, preferably within a scientific or laboratory environment, especially one related to drug development
- Experience with programming, scripting, and query languages and platforms such as Python, SQL, JavaScript (React) and Java
- Experience with different types of data storage implementations, relational and non-relational (e.g., key-value, document, SQL, graph databases), and optimizing data storage using a mix of approaches
- Familiarity with Docker, containerized applications, and AWS cloud computing services
- Experience documenting detailed software requirements, user stories, business processes, and/or software specifications for both custom and Commercial-Off-The-Shelf (COTS) systems
- Familiarity with laboratory operations and workflows, and experience designing, implementing, and maintaining computational workflows involving multiple modular steps
- Proven experience working closely with scientific stakeholders to understand their informatics needs, and subsequently defining complex system requirements, scope, objectives, and key results in the context of larger organizational goals
- Experience working in a life sciences or biopharmaceutical environment such as early-stage research, drug discovery, or another biological sciences discipline is preferred
- Excellent problem-solving and analytical skills in a fast-paced R&D environment where product requirements and internal software tools may change over time
- Demonstrated success working independently on initiatives of high complexity, uncertainty, and risk with minimal guidance and direction
- Able to present your work, both verbally and in writing, to diverse audiences including scientific stakeholders, technical teams, and research leadership
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 $134,000 to $161,700 depending on skills, competency, and the market demand for your expertise.