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Experimental Design Jobs (NOW HIRING)

Ametek

Mechanical Design & Validation Engineer

Wilmington, MA · On-site

$83K - $112K/yr

This role combines mechanical design with hands-on experimentation, prototype development, and environmental validation, ensuring products perform reliably under extreme conditions. The engineer will ...

Apple

Product Design Engineer - Audio Fit

Cupertino, CA · On-site

$159K - $191K/yr

Detailed design, drafting, and statistical experiments *You will work with research, design, and engineering teams to create architectures that meet product goals while delivering exceptional user ...

Owens Corning

Program Leader

Granville, OH · On-site

PURPOSE OF THE JOB The Experimental Design and Product Testing Leader provides strategic technical and people leadership for the Experimental Design and Product Testing team within Insulation R&D.

Owens Corning

Program Leader

Granville, OH

PURPOSE OF THE JOB The Experimental Design and Product Testing Leader provides strategic technical and people leadership for the Experimental Design and Product Testing team within Insulation R&D.

Archer Daniels Midland

Independently design, execute, and lead pilot-scale extrusion trials and experiments * Manage R&D projects from concept through commercialization, ensuring timelines and technical deliverables are ...

MIT Human Resources

Project Engineer

Cambridge, MA

PROJECT ENGINEER , The Nuclear Reactor Laboratory , will be responsible for a wide range of experimental design, operation, and data-taking activities supporting the primary research mission of the ...

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How much do experimental design jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for experimental design in the United States is $26.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $30.05 per hour, depending on experience, location, and employer.

What jobs are for people who like doing science experiments?

Experimental design is a key aspect of careers such as research scientist, laboratory technician, or research associate, where designing and conducting experiments is central. These roles often require knowledge of scientific methods, data analysis, and laboratory tools, and may involve working in academic, government, or industry settings.

What is the most futuristic job?

A futuristic job related to experimental design could involve working with emerging technologies such as artificial intelligence, virtual reality, or nanotechnology. These roles often require advanced skills in innovation, research, and development, and may be found in industries focused on cutting-edge scientific advancements. Such positions are expected to grow as technology continues to evolve rapidly.

What is an Experimental Design job?

An Experimental Design job involves planning, structuring, and analyzing experiments to ensure reliable and valid results. Professionals in this role use statistical methods to test hypotheses, optimize processes, and improve decision-making in fields such as science, engineering, and business. They design experiments to minimize bias, control variables, and maximize the accuracy of conclusions. This role is crucial in research and development, product testing, and process optimization across various industries.

What are the key skills and qualifications needed to thrive in the Experimental Design position, and why are they important?

To excel in Experimental Design, a professional needs a strong background in statistics, scientific methodology, and data analysis, typically supported by an advanced degree in a related field. Familiarity with statistical software (such as R, SPSS, or SAS), laboratory equipment, and protocol management systems is often required. Strong attention to detail, critical thinking, and effective communication are crucial soft skills in this position. These capabilities are vital for ensuring research integrity, reproducibility, and clear reporting of experimental outcomes.

What do you do in experimental design?

In experimental design, a professional plans and structures experiments to test hypotheses, ensuring variables are controlled and data collection methods are appropriate. This involves selecting suitable sample sizes, randomization, and statistical analysis to produce valid and reliable results.

What are some common challenges faced by professionals in Experimental Design roles?

One common challenge in Experimental Design roles is ensuring that experiments are both scientifically rigorous and feasible given constraints like budget, time, or available resources. Additionally, dealing with unexpected variables or data inconsistencies can require creative problem-solving and the ability to adapt research protocols. Team collaboration is also key, as experimental designers often work closely with scientists, engineers, and statisticians to develop and refine testing procedures. By anticipating potential obstacles and communicating clearly with stakeholders, professionals in this role contribute to successful and reliable research outcomes.

What are 20 careers in design?

Careers in design include roles such as graphic designer, industrial designer, user experience (UX) designer, interior designer, fashion designer, web designer, product designer, landscape architect, motion graphics designer, game designer, architectural designer, visual designer, packaging designer, exhibit designer, textile designer, furniture designer, branding designer, multimedia artist, set designer, and illustration artist. These roles often require proficiency with design software, creativity, and an understanding of user needs or aesthetic principles. Many positions also benefit from specialized education or certifications in design fields.
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Experimental Design jobs near you
Infographic showing various Experimental Design job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $54,595 per year, or $26.2 per hour.

Data Generation for ML-based molecule design

Inceptive

Palo Alto, CA • On-site

$135K - $240K/yr

Part-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team.
We advance the state of the art in molecular design by training large-scale foundation models that enable cutting-edge generative approaches. Those models depend on rich, high-quality experimental data that captures biological function. Progress requires not only building better models, but also designing better experiments, understanding measurement systems, and generating datasets that faithfully represent underlying biology.
You will collaborate closely with biologists and machine learning researchers to design, analyze, and improve the experiments that power our models. You will help determine what data should be generated, how experiments should be structured, how measurement artifacts can be identified, and how biological insights can be translated into scalable data generation strategies.
Your Mission, should you choose to accept it
  • Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
  • Develop statistical and computational approaches to characterize assay quality, reproducibility, and sources of experimental variation
  • Identify and investigate sources of bias and measurement artifacts in biological datasets
  • Design and analyze large-scale biological experiments that generate training and evaluation data for machine learning models
  • Partner with experimental scientists to improve assay design, controls, and data collection strategies
  • Collaborate with machine learning researchers to understand how experimental design decisions impact model training and evaluation
  • Analyze, visualize, and communicate findings to support decision-making across scientific and engineering teams

Qualifications
  • PhD in computational biology, systems biology, genomics, bioengineering, biostatistics, biophysics, or a related quantitative discipline, or equivalent practical experience
  • Demonstrated track record of analyzing complex biological datasets and translating computational insights into experimental validation or new data collection
  • Strong foundation in experimental design, statistical analysis, and quantitative reasoning
  • Deep understanding of sources of experimental variability, batch effects, and assay artifacts in biological data
  • Capable programmer in Python and common scientific computing libraries
  • Excellent written and verbal communication skills, including the ability to communicate effectively across computational and experimental disciplines
  • Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
  • Readiness to travel several times a year for company retreats and business events
  • We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations

Preferred technical skills
  • 3+ years of post-PhD experience in computational biology, biostatistics, or a related field
  • Experience connecting experimental outcomes to machine learning model development and evaluation

Compensation
$135K - $240K + Bonus + Equity
What we offer
  • A competitive compensation package
  • 30 days paid vacation per year
  • Comprehensive health insurance for US based Beginners
  • 401K with company match for US based Beginners and Direktversicherung for German Beginners
  • Quarterly company-wide retreats
  • Monthly wellness benefit
  • Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
  • Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone
  • A buddy to help you get settled

*Varies by country and does not apply to internships
At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.
We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.
It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment.
Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

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