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Discovery Informatics Jobs (NOW HIRING)

koch

Clinical Informatics Analyst

Suwanee, GA · On-site

Title: Informatics Analyst Reports To: Manager of Informatics Class: Full-Time Type: Salaried ... Consultative discovery meetings * Analysis of current state operations and desired outcomes

koch

Clinical Informatics Analyst - Continuous Improvement Services (Level 1)Reports To: Clinical ... Facilitate discovery meetings with customers to identify pain points, assess user needs, and ...

Texas Health Institute

$130 - $170/hr

We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork ... At the interface of this partnership and the UT Southwestern Clinical Informatics Center is the ...

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How much do discovery informatics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for discovery informatics in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What is discovery informatics?

Discovery informatics is a multidisciplinary field that uses data analysis, computational methods, and informatics tools to uncover patterns, insights, and knowledge from large and complex datasets, often in scientific or biomedical research. Professionals in this field help accelerate the process of discovery by integrating information technology with domain expertise, enabling faster and more accurate decision-making. Discovery informatics plays a critical role in areas like drug discovery, genomics, and healthcare by transforming raw data into actionable knowledge.

What are the key skills and qualifications needed to thrive as a discovery informatics professional?

To thrive in Discovery Informatics, you need a solid background in data science, bioinformatics, and life sciences, usually supported by an advanced degree in fields like biology, computer science, or bioinformatics. Familiarity with programming languages (such as Python or R), data mining tools, and laboratory information management systems (LIMS) is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this field. These skills are crucial for extracting meaningful insights from complex biological data, accelerating scientific discoveries, and fostering collaboration between multidisciplinary teams.

What are some common challenges faced by professionals in discovery informatics, and how can they be addressed?

Professionals in Discovery Informatics often face challenges such as managing and integrating large, diverse datasets from various scientific sources, ensuring data quality, and translating complex data into actionable insights for research teams. Effective collaboration with scientists, IT specialists, and data analysts is essential to address these challenges. Utilizing robust data management tools, staying current with emerging informatics technologies, and developing strong communication skills are key strategies for overcoming obstacles and driving successful discovery projects.

What is the difference between Discovery Informatics vs Bioinformatics?

AspectDiscovery InformaticsBioinformatics
Required CredentialsBachelor's or Master's in Informatics, Computer Science, or related fieldBachelor's or Master's in Bioinformatics, Biology, or related field
Work EnvironmentResearch labs, healthcare, pharmaceutical companiesResearch labs, healthcare, biotech firms
Industry UsageData analysis for drug discovery, clinical researchGenomic data analysis, biological data interpretation

Discovery Informatics focuses on managing and analyzing data related to drug discovery and clinical research, often emphasizing informatics tools and data systems. Bioinformatics centers on biological data, especially genomic and proteomic information, with a strong biological science component. While both roles involve data analysis and share similar work environments, Discovery Informatics leans more toward informatics systems, whereas Bioinformatics emphasizes biological data interpretation.

More about Discovery Informatics jobs

What job categories do people searching Discovery Informatics jobs look for?

The top searched job categories for Discovery Informatics jobs are:

Discovery Informatics jobs near you
Infographic showing various Discovery Informatics job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $98,409 per year, or $47.3 per hour.

Senior Director of Informatics (New York)

Sci.bio Recruiting

Manhattan, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Sr. Director, Research Informatics & Software Engineering

Location: Greater New York City Area (Onsite)

We are partnering with an innovative biotechnology company to identify a Sr. Director of Research Informatics & Software Engineering. This leader will own the strategy, architecture, and execution of the organization's research informatics ecosystem, enabling scientists, software engineers, and AI/ML teams to leverage high-quality scientific data across the drug discovery process.

This is a highly visible leadership role responsible for building AI-ready data infrastructure, overseeing research informatics platforms, and driving the integration of laboratory systems, software engineering, and machine learning initiatives.

Key Responsibilities
  • Lead the Research Informatics & Software Engineering organization.
  • Oversee scientific data platforms, LIMS, ELNs, laboratory software, and system integrations.
  • Develop and execute an enterprise strategy for AI-ready scientific data, governance, and data architecture.
  • Partner with Biology, Chemistry, Automation, Data Science, and AI/ML teams to ensure scientific data is structured, accessible, and optimized for machine learning workflows.
  • Drive software development and informatics initiatives supporting laboratory operations and research.
  • Build, mentor, and scale a high-performing informatics and software engineering team.
  • Evaluate and implement new technologies that improve research productivity and scientific data management.
Qualifications
  • 10+ years of experience leading Research Informatics, Scientific Informatics, Cheminformatics, or Scientific Software Engineering within biotechnology or pharmaceutical organizations.
  • Experience managing LIMS, ELNs, scientific data platforms, and laboratory software ecosystems.
  • Strong understanding of AI-ready data strategies, data governance, and AI/ML workflows.
  • Familiarity with AI/ML Ops and the role of scientific data in enabling machine learning applications.
  • Experience partnering across scientific, engineering, and data science organizations.
  • Excellent leadership, communication, and stakeholder management skills.
Preferred Experience
  • Drug discovery or life sciences R&D.
  • Cloud-based data platforms and modern software architecture.
  • Laboratory automation and scientific instrument integrations.
  • Experience leading multidisciplinary technical teams through organizational growth and technology transformation.
Technology Environment

Candidates should have experience with many of the following technologies and platforms:

  • Scientific Informatics Platforms (CDD Vault, Virscidian, Benchling or similar)
  • LIMS, ELNs, Registration & Inventory Management Systems
  • Scientific Data Platforms and AI-Ready Data Infrastructure
  • Laboratory Automation & Orchestration Platforms
  • Python, SQL, and REST APIs
  • Scientific Data Engineering, Data Pipelines, and Metadata Management
  • AI/ML Ops and Machine Learning Data Workflows
  • Data Visualization & Workflow Tools (KNIME, Spotfire, Pipeline Pilot)
  • Cheminformatics Tools (RDKit, OpenEye, ChemAxon, ChemFP or similar)
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