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Dry Lab Jobs (NOW HIRING)

UCSF

Junior or Assistant Specialist

San Francisco, CA · On-site

This will include a mix of wet and dry lab work including but not limited to quantification method development and validation, study planning and coordination, clinical sample analysis, and ...

Atlanta Dental Center

Sterilization Technician

Atlanta, GA · On-site

$15.50 - $19.75/hr

Trays properly cleaned and dry * Lab kept clean and tidy * Sterilization area clean and organized * Monitoring & managing lab cases * A back up to seating and/or taking patients to check out * A ...

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How much do dry lab jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for dry lab in the United States is $22.53, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.28 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Dry Lab Technician, and why are they important?

To thrive as a Dry Lab Technician, you need a solid background in data analysis, computational modeling, and a relevant degree in fields such as bioinformatics, computer science, or engineering. Expertise in statistical software, programming languages (like Python or R), and familiarity with laboratory information management systems (LIMS) are typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for ensuring accurate data management, insightful analysis, and successful research outcomes in a laboratory setting.

What are some common challenges faced by professionals working in a dry lab environment, and how can they be addressed?

In a dry lab setting, professionals often work with computational models, simulations, and data analysis rather than wet lab experiments. A common challenge is ensuring the accuracy and reliability of simulation results, which requires strong attention to detail and robust validation against experimental or reference data. Additionally, effective collaboration with wet lab teams is essential to interpret findings and guide future research. Staying updated with the latest computational tools and best practices can help address these challenges and support successful project outcomes.

What are dry lab jobs?

Dry lab jobs involve computational and theoretical research, rather than traditional wet lab work with chemicals or biological samples. Professionals in dry labs use computer simulations, data analysis, and mathematical modeling to solve scientific problems in fields like physics, chemistry, or biology. These roles are essential for managing large datasets, predicting outcomes, and developing new hypotheses that can later be tested in wet labs. Common positions in a dry lab include bioinformaticians, computational chemists, and data scientists.

What is the highest-paying lab job?

In laboratory settings, senior roles such as Laboratory Director or Principal Scientist typically have the highest salaries, often exceeding six figures annually. These positions require advanced degrees, extensive experience, and leadership responsibilities, and may involve specialized skills or certifications in fields like biotechnology or pharmaceuticals.

What biology jobs pay over $100k?

In biology-related fields, roles such as biomedical directors, pharmacologists, and biotech research managers often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience in research, management, or regulatory compliance.

What is the difference between Dry Lab vs Wet Lab?

AspectDry LabWet Lab
Work EnvironmentComputer-based, simulation, data analysisPhysical experiments, chemical or biological testing
Required SkillsProgramming, data modeling, computational skillsLaboratory techniques, chemical/biological handling
Common CertificationsNone specific, often advanced degrees in science or engineeringLab safety, technical certifications
Industry UsageResearch, data analysis, computational modelingExperimental research, product development

Dry Lab roles focus on computational work, data analysis, and simulations, often requiring programming skills and advanced degrees. Wet Lab roles involve hands-on experiments and physical testing in laboratory settings. Both are essential in scientific research but differ significantly in environment and skill set.

What is the highest-paying career in a laboratory?

In laboratory settings, senior roles such as Laboratory Directors or Principal Investigators typically have the highest salaries, often exceeding six figures. These positions require advanced degrees, extensive experience, and strong management skills, and they oversee research projects, staff, and budgets.

What do you do in a dry lab?

A dry lab is a research environment where experiments do not involve live organisms or wet chemicals. In a dry lab, tasks often include data analysis, computer modeling, simulations, and software development, requiring skills in programming and familiarity with specialized tools. The role typically involves working with digital data and computational methods rather than physical samples.
More about Dry Lab jobs
What cities are hiring for Dry Lab jobs? Cities with the most Dry Lab job openings:
What states have the most Dry Lab jobs? States with the most job openings for Dry Lab jobs include:
What job categories do people searching Dry Lab jobs look for? The top searched job categories for Dry Lab jobs are:
Dry Lab jobs near you
Infographic showing various Dry Lab job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 87% Full Time, 9% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $46,864 per year, or $22.5 per hour.
Principal R&D Informatics and Scientific Systems Engineer

Principal R&D Informatics and Scientific Systems Engineer

Tessera Therapeutics

Somerville, MA

Other

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Job description

Your experience includes... 

  • Scientific background in biology, chemistry, or a related life sciences discipline, with a strong understanding of biotech, pharmaceutical, or life sciences R&D workflows.
  • Experience configuring or supporting an ELN, LIMS, registry, or scientific workflow platform (e.g., Benchling or comparable systems).
  • Familiarity with scientific platform APIs, data warehouses, and integration patterns into downstream databases and analytics (e.g., the Benchling REST API and Data Warehouse).
  • Data modeling skills, including designing and maintaining schemas and entity relationships and mapping them consistently across integrated scientific and engineering systems.
  • Hands-on fluency with scientific data structures, metadata, sample tracking, assay workflows, and data capture.
  • Experience using AI tools (or a demonstrated willingness and aptitude to learn them) and interest in applying AI to scientific and informatics workflows.
  • Familiarity with AWS cloud services (e.g., S3, EC2, Lambda, and RDS) and how they support scientific data storage, integration, and compute workflows.
  • Working proficiency in Python for scripting, data manipulation, and automating or integrating scientific systems and workflows.
  • Strong analytical and problem-solving ability, exceptional attention to detail, and the judgment to work through ambiguous, cross-functional problems independently.
  • Ability to work directly with scientists and translate experimental processes into system requirements.
  • Strong cross-functional collaboration across wet lab, dry lab, software engineering, and computational biology.
  • Strong documentation, communication, and prioritization skills.

It's a bonus if you have...

  • Hands-on experience with AI tools such as LLM-based assistants, AI coding tools, or AI-enabled scientific software.
  • Familiarity with software engineering practices: version control (git), testing, release management, change control.
  • Experience with genomics, sequencing, molecular biology, gene editing, or screening domains.
  • Familiarity with BI tools and data visualization.

You are interested in... 

  • Owning hands-on configuration, support, and continuous improvement of our scientific software environment, including our ELN/registry platform (currently Benchling): registry, entities, requests, assays, results schemas, and metadata structures.
  • Owning scientific data models and schemas, and ensuring they map consistently across the ELN and integrated scientific and engineering systems. Partnering with Software Engineering to integrate scientific data into downstream databases and analytics.
  • Partnering with wet lab and dry lab teams to understand experimental processes, sample tracking, assay data capture, and sequencing workflows, and translating them into platform configuration.
  • Supporting and enabling scientific AI tooling, helping scientists adopt AI capabilities within our scientific systems, providing training and guidance, and collecting feedback.
  • Defining and enforcing scientific data capture standards, metadata consistency, workflow consistency, and change management for scientific systems.
  • Providing user support, training, documentation, troubleshooting, and adoption support.
  • Troubleshooting and solving problems directly, working through ambiguous issues across systems, data, and scientific workflows with rigor and attention to detail.
  • Identifying opportunities to simplify workflows, reduce manual effort, and improve data quality.

What success looks like...

  • Scientists have reliable, well-supported systems that reflect how R&D work is performed.
  • Scientific systems are maintained, documented, and improved through clear, repeatable processes.
  • Scientific data is captured consistently and is cleanly consumable by engineering and computational teams.
  • AI tools are thoughtfully adopted and integrated into scientific workflows where they add real value.
  • Scientific systems become less dependent on individual knowledge and more sustainable as team-owned platforms.

Growth opportunity...

This role is positioned to grow with the organization. As our R&D footprint, data infrastructure, and use of AI expand, there is clear opportunity to take on broader scope, deeper technical ownership, and increased leadership responsibility.

About you:

You are a scientifically minded systems expert who enjoys working at the intersection of research, technology, and innovation. You have experience supporting scientific software platforms and understand how R&D teams generate, manage, and use data throughout the research lifecycle. You are comfortable partnering directly with scientists, computational biologists, and software engineers to translate scientific workflows into effective system solutions.

As a hands-on member of the Research organization, you will own and continuously improve our scientific systems ecosystem, including electronic lab notebooks, sample and data management platforms, workflow enablement tools, and emerging AI-powered solutions. You are a strong problem solver who enjoys configuring systems, improving processes, and learning new technologies that help accelerate scientific discovery.

Meet your Manager:

All inquiries regarding the posted position should be directed to the Talent Partner (see below). Interested individuals must apply directly to be considered for the opening. 

David Tefft - Senior Director of Software Engineering and Lab Automation

David Tefft is a senior engineering leader with more than 20 years of experience building software for biotech and clinical and manufacturing labs, specializing in LIMS, data platforms, and integrations for regulated environments. As Senior Director of Software Engineering and Lab Automation at Tessera Therapeutics, he leads the delivery of lab-facing software while partnering closely with wet-lab and automation teams. Across earlier roles at Gritstone Oncology, N-of-One, and Good Start Genetics, he built and led engineering, QA, and support teams of up to 20 people. He is known for aligning stakeholders across Lab Ops, Automation, Quality, and IT, and for translating complex scientific workflows into reliable products. David holds a B.S. in Biochemistry and Molecular Biology from the University of Massachusetts Amherst.

Meet your Talent Partner:

Ben Hoogheem - Senior Director, Head of Talent Management

As Head of Talent Management at Tessera Therapeutics, Ben leads Tessera's talent strategy across talent acquisition, performance management, and talent mobility.

Ben began his career as an in vivo Pharmacologist, which gave him a lasting appreciation for the rigor, creativity, and collaboration that drive scientific discovery. That foundation continues to shape how he helps build organizations designed to enable science thrive.

Ben is focused on aligning exceptional people with bold science - creating the structure, clarity, and culture that empower teams to scale effectively and achieve meaningful impact.

Compensation:

The stated base salary range represents Tessera's good-faith estimate for this role. Actual compensation will be determined based on a number of factors, including but not limited to individual qualifications, years of relevant experience, internal compensation alignment, and external market data.

Tessera offers a competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness, and financial security of our employees and their families. Benefits currently include group medical, vision, and dental coverage; group life and disability insurance; a 401(k) plan with company contribution; tuition reimbursement; and more.

This position is also eligible for an annual incentive bonus and equity grants as part of Tessera's total rewards program.

Per Year Salary Range: $167,000 - $200,000

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