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Life Science Informatics Jobs (NOW HIRING)

LabAnswer

Informatics Associate

Orlando, FL · On-site

... and life sciences research laboratories spanning research, development and manufacturing/QC ... The Informatics Associate position requires a willingness to learn and the desire to exceed ...

campus4tech

Lead Health Informatics Analyst

... life sciences. Qualifications: * Minimum 15 years of total experience in health IT or a related field, of which at least 6 years must be specialized in Health Informatics. Note: Six (6) additional ...

Prime Medicine

Informatics Engineer

Cambridge, MA · On-site

Experience in a life-science related industry involving scientific or regulated data, such as biotech, pharma, healthtech, clinical informatics, scientific instrumentation, or agricultural genomics.

Medpace

Clinical Informatics Manager

Cincinnati, OH · On-site

$90 - $120/hr

Bachelor's degree in informatics, computer science/engineering, biomedical engineering, health information, statistics, data science, life sciences, or a related field; advanced degree preferred;

Eikon Therapeutics

Senior Informatics Engineer

Millbrae, CA · On-site

$121K - $166K/yr

Position We are currently seeking an experienced Informatics Engineer to contribute to the design ... Experience working in a life sciences or biopharmaceutical environment such as early-stage research ...

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Life Science Informatics information

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$42.5K

$85.6K

$125K

How much do life science informatics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for life science informatics in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is life science informatics?

Life science informatics is an interdisciplinary field that combines biology, computer science, and information technology to manage, analyze, and interpret biological data. It plays a crucial role in areas like genomics, drug discovery, and personalized medicine by helping researchers make sense of large and complex datasets. Professionals in this field use computational tools and algorithms to support scientific discovery and innovation in the life sciences.

What skills and qualifications are needed to thrive as a life science informatics professional?

To thrive as a Life Science Informatics professional, you need a solid background in biology or biomedical sciences combined with expertise in data analysis, statistics, and informatics, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages (such as Python or R), bioinformatics databases, and data visualization tools, as well as experience with laboratory information management systems (LIMS), is typically required. Strong problem-solving, collaboration, and communication skills help bridge the gap between scientific and technical teams. These skills are vital for effectively managing complex biological data, facilitating research, and driving innovation in the life sciences sector.

How does a life science informatics professional typically collaborate with researchers and laboratory staff?

Life Science Informatics professionals work closely with researchers and laboratory teams by managing, analyzing, and interpreting complex biological data. They often help design experiments, build data pipelines, and ensure that information systems meet research needs. Regular meetings and clear communication are essential, as informatics experts translate technical data into actionable insights for scientists. This collaborative approach fosters innovation and ensures that both computational and experimental efforts are aligned toward shared research goals.

What is the difference between Life Science Informatics vs Bioinformatics Specialist?

AspectLife Science InformaticsBioinformatics Specialist
Required CredentialsBachelor's or Master's in Life Sciences, Bioinformatics, or related fieldsBachelor's or Master's in Bioinformatics, Computational Biology, or related fields
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsResearch institutions, biotech companies, academia
Employer & Industry UsageUsed across healthcare, pharma, biotech for data management and analysisPrimarily in genomics, drug discovery, and molecular research

Life Science Informatics focuses on managing and analyzing biological data across various life sciences sectors, often integrating IT solutions. Bioinformatics Specialists typically concentrate on computational analysis of biological data, especially genomics and molecular biology. While both roles require similar educational backgrounds and work environments, Life Science Informatics has a broader scope including data management and systems integration, whereas Bioinformatics Specialists focus more on specialized data analysis tasks.

What can I do with a life science informatics degree?

A degree in life science informatics prepares individuals for roles such as bioinformatics analyst, data scientist, or research scientist, focusing on managing and analyzing biological data using tools like SQL, R, or Python. Graduates often work in research institutions, pharmaceutical companies, or biotech firms, supporting drug discovery, genomics, and personalized medicine. Strong analytical skills and knowledge of biological systems are essential for success in this field.
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What job categories do people searching Life Science Informatics jobs look for?

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Life Science Informatics jobs near you
Infographic showing various Life Science Informatics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,609 per year, or $41.2 per hour.

Senior Director of Informatics (New York)

Manhattan, NY • On-site

Sci.bio Recruiting
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Sci.bio Recruitingexternal

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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