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Informatics Phd Jobs in Reading, MA (NOW HIRING)

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Informatics Phd information

See Reading, MA salary details

$44.8K

$103.8K

$175.7K

How much do informatics phd jobs pay per year?

As of Aug 10, 2026, the average yearly pay for informatics phd in Reading, MA is $103,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $129,300.00 per year, depending on experience, location, and employer.

What is the difference between Informatics Phd vs Data Scientist?

AspectInformatics PhdData Scientist
Required CredentialsPhD in Informatics or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic, research institutions, healthcare, or industry R&DCorporate, tech companies, finance, or consulting firms
Industry UsageResearch, academia, healthcare informatics, and policyData analysis, predictive modeling, business insights

Informatics Phds typically focus on research, theory, and developing new knowledge in informatics, often working in academia or research settings. Data Scientists usually apply data analysis techniques in industry to solve practical problems. While both roles require strong analytical skills, the Informatics Phd emphasizes research and advanced knowledge, whereas Data Scientists focus on data-driven decision-making in business environments.

What are the key skills and qualifications needed to thrive as an Informatics PhD?

To thrive as an Informatics PhD, you need advanced expertise in data analysis, algorithm development, and computational modeling, typically supported by a doctoral degree in informatics or a related field. Familiarity with programming languages (such as Python or R), data visualization tools, and research publication systems is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you stand out in academic and industry settings. These skills are crucial for driving innovative research, effectively collaborating with interdisciplinary teams, and advancing the field of informatics.

What can I do with a PhD in informatics?

A PhD in informatics prepares individuals for research, academia, and advanced roles in healthcare, technology, and data science. Graduates often work as data scientists, research scientists, informatics specialists, or in leadership positions that require expertise in data analysis, programming, and systems integration.

What are some common challenges faced by Informatics PhD students during their research, and how can they be managed?

Informatics PhD students often encounter challenges such as balancing independent research with coursework, managing large datasets, and staying updated with rapidly evolving technologies. Collaboration with interdisciplinary teams and regular meetings with advisors can help manage these challenges. Effective time management and leveraging resources like research seminars, workshops, and peer support groups are also crucial for success.

Is a PhD in health informatics worth it?

A PhD in health informatics prepares individuals for research, academic, and leadership roles in healthcare data management, analytics, and technology development. It can lead to higher-level positions and specialized expertise but requires significant time and investment; career advancement often depends on experience, skills, and industry demand.

What is an Informatics PhD?

An Informatics PhD is a doctoral degree focused on the study of information processing, computational systems, and the design and use of information technology in various domains. Students in this program conduct original research in areas such as data science, human-computer interaction, artificial intelligence, or biomedical informatics. The degree prepares graduates for advanced research, academic, or industry positions, where they contribute to the development and understanding of innovative information systems and technologies.

Is informatics still in demand?

Informatics PhDs are in demand across healthcare, technology, and research sectors due to their expertise in data management, analysis, and systems integration. The growing emphasis on health IT, data-driven decision making, and digital transformation continues to create opportunities for advanced informatics professionals with skills in programming, data modeling, and health informatics standards.
What job categories do people searching Informatics Phd jobs in Reading, MA look for? The top searched job categories for Informatics Phd jobs in Reading, MA are:
Infographic showing various Informatics Phd job openings in Reading, MA as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $103,840 per year, or $49.9 per hour.

Associate Director, Laboratory Informatics and Platform Automation

Valo Health

Lexington, MA

Full-time

Re-posted 11 days ago


Job description

 About the Role...

Valo Health is seeking an Associate Director to lead laboratory informatics and platform automation across its drug discovery organization. The role owns strategy, implementation, and operational performance across both domains, builds the scientific data infrastructure connecting bench data to Valo's Opal Computational Platform, and leads a technical team. The ideal candidate brings deep domain expertise and a proven track record of people leadership in a fast-paced R&D environment.

What You'll Do... 

Your primary areas of responsibility will be:

  • Own strategy, implementation, and operations across laboratory informatics systems (LIMS, ELN, SDMS, data analysis tools) and hardware automation platforms (HTS, compound management, instrument integration).
  • Define roadmap priorities with scientific and technical stakeholders; translate needs into actionable plans and deliver reliable solutions.
  • Partner with the Data Platform team to build data infrastructure, including ontologies, pipelines, and LIMS integrations; design workflow integrations that streamline operations and enable downstream AI/ML use.
  • Gather requirements from stakeholders to guide development across SDMS, ELN, and visualization tools; oversee user requirement specifications and UAT.
  • Implement data security and IP protection standards in partnership with Data Governance teams.
  • Oversee data ingestion pipelines and LIMS integrations, ensuring integrity, compliance, and harmonization of legacy and current experimental data.
  • Partner with scientific power users and facilities to manage vendor relationships, including contract renewals, installations, application support, and user training; oversee resource prioritization, cost monitoring, and lifecycle planning with contracts, finance, and IT.
  • Serve as the senior point of expertise for informatics and automation, building strong relationships across Biology, Chemistry, DMPK, and Data Sciences.
  • Monitor operational performance and resolve technical issues across informatics and automation platforms.
  • Lead automation platform operations including High-Res Cellario, Biosero Green Button Go, and compound management; evaluate and drive acquisition of new hardware to meet evolving scientific needs.
  • Lead and develop the technical team, including hiring, mentoring, and career development.
  • Stay current with emerging trends in informatics and automation and apply new approaches to strengthen platform capabilities.

What You Bring... 

  • PhD with 10+ years in laboratory informatics and/or automation in drug discovery, or BS/MS with 15+ years.
  • Life sciences background in Screening, Biology, Chemistry, DMPK, multi-omics, or NGS.
  • Demonstrated ability to lead technical teams and deliver high-impact informatics and automation programs in pharma or biotech R&D.
  • Experience developing roadmaps, translating scientific needs into technical plans, and managing competing priorities.
  • Experience across the full informatics software lifecycle: requirements gathering, design, implementation, UAT, and lifecycle management.
  • Deep knowledge of LIMS, ELN, SDMS, and automation systems; experience integrating HTS automation, mass spectrometry, and compound management with tools such as Dotmatics and Snowflake.
  • Strong communication skills and ability to influence decisions at all levels.
  • Proven track record managing complex software infrastructure and vendor interoperability.

You May Also Bring...

  • Experience with SaaS platforms, cloud services, and API integrations.
  • Hands-on experience with High-Res Cellario work cells and Biosero Green Button Go workflows.