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Biotech R&D Jobs (NOW HIRING)

Benchling

Implementation Manager

San Francisco, CA · On-site

$116K - $157K/yr

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

Benchling

Global Program Manager

Boston, MA · On-site

$151K - $241K/yr

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

Benchling

Enterprise Account Executive

Boston, MA · On-site

$140K - $200K/yr

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

Benchling

Strategic Account Executive

Boston, MA · On-site

$100K - $170K/yr

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

GenScript Biotech

Senior Java Engineer

Redmond, WA · On-site

$140K - $170K/yr

Guided by its mission to Make People and Nature Healthier Through Biotechnology, and its role as a ... Self-driven in ambiguous, R&D-paced environments. Benefit: * Medical Insurance/ Vision Insurance ...

Benchling

Full Stack Engineer, Insights

San Francisco, CA · On-site

$148K - $200K/yr

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

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Biotech R D information

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How much do biotech r&d jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for biotech r&d in the United States is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $30.77 per hour, depending on experience, location, and employer.

What does a typical day look like for someone working in Biotech R&D?

A typical day in Biotech R&D involves designing and conducting laboratory experiments, analyzing data, and documenting results in line with industry regulations. You’ll often meet with interdisciplinary teams to discuss experimental progress, troubleshoot challenges, and plan next steps. Collaboration with colleagues in areas such as bioinformatics, engineering, and quality assurance is common, as projects often cross scientific disciplines. Time management and adaptability are important, as priorities can shift quickly based on new research findings or project needs.

What is the highest paying job in biotech?

In biotech R&D, senior executive roles such as Chief Scientific Officer (CSO) or Vice President of R&D tend to be the highest paying positions, often earning six-figure salaries or more. These roles require extensive experience, advanced degrees, and leadership skills, and they oversee research strategies and company direction.

What biology jobs pay over $100k?

Biotech R&D roles such as senior scientists, research directors, and principal investigators often have salaries exceeding $100,000, especially with advanced degrees and extensive experience. Positions involving leadership, specialized skills in molecular biology or bioinformatics, and industry experience tend to offer higher compensation, often complemented by bonuses and benefits.

What is R&D in biotech?

Research and Development (R&D) in biotech involves creating and testing new products, processes, or technologies related to biological sciences. Biotech R&D professionals often work in laboratories, utilizing techniques like molecular biology and genetic engineering to innovate and improve healthcare, agriculture, or industrial applications.

What careers are in biotechnology research and development?

Biotech R&D careers include roles such as research scientist, laboratory technician, bioprocess engineer, and product development scientist. These positions typically require knowledge of molecular biology, laboratory skills, and familiarity with tools like PCR and cell culture, often involving collaboration in a lab environment. Advancement may require advanced degrees and certifications in biotechnology or related fields.

What is a Biotech R&D job?

A Biotech R&D job involves conducting research to develop new biological products, technologies, or processes in fields like pharmaceuticals, agriculture, and healthcare. Scientists and researchers in this role work with biological systems, genetic engineering, or drug development to create innovative solutions. They analyze data, run experiments, and collaborate with cross-functional teams to bring discoveries from the lab to real-world applications.

What are the key skills and qualifications needed to thrive in the Biotech R&D position, and why are they important?

To thrive as a Biotech R&D professional, you need a strong background in life sciences, laboratory techniques, and experimental design, often supported by an advanced degree in biology, biotechnology, or a related field. Familiarity with molecular biology tools, data analysis software, and regulatory compliance systems is typically required, and certifications like GLP or GMP are valued. Critical thinking, problem-solving abilities, and effective teamwork are essential soft skills for collaborating on complex research projects. These competencies are crucial for driving innovation, ensuring research quality, and meeting project goals in the fast-paced biotechnology sector.

More about Biotech R D jobs
What job categories do people searching Biotech R&D jobs look for? The top searched job categories for Biotech R&D jobs are:
Biotech R D jobs near you
Infographic showing various Biotech R&D job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $54,192 per year, or $26.1 per hour.
Full Stack Engineer, Scientific AI Models

Full Stack Engineer, Scientific AI Models

Benchling

San Francisco, CA • On-site

$173K - $234K/yr

Full-time

Posted 11 days ago

Job description

We are rebuilding biotech for the AI era.
When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.
Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.
We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.
ROLE OVERVIEW
The Model Hub team is building a computational platform that provides access to cutting-edge scientific AI models to help scientists design better drugs. Scientific models (e.g. AlphaFold or Boltz2) predict structures, predict scientific properties, and generate new drug designs, acting as a design partner and a major time saver to scientists who are creating life-saving therapeutics.
As a full-stack engineer on the team, you'll focus on building the scalable platform, APIs, and user interfaces for these models. Projects you might work on include: adding new models as soon as they're published, improving model performance and scalability, and enabling scientists to automate their in-silico workflows by chaining models together into pipelines. It's early days for scientific AI models, both at Benchling and in the industry at large. We'll rapidly iterate with customers and change directions quickly, figuring out new patterns for how we develop and go to market. We'll win if we stay curious and obsess over our customers.
RESPONSIBILITIES
  • Build and scale our scientific model platform by designing and implementing infrastructure for model inference that is fast, reliable, and cost-effective across a diverse set of scientific models.
  • Create intuitive and beautiful UI and API interfaces for our computational users to execute high-throughput runs and analyze their results.
  • Work directly with customers to ideate use cases, gather feedback, and onboard scientific teams.
  • Shape how we build AI at Benchling, driving experimentation, contributing to technical direction, and helping evolve our engineering and product development practices as the field matures.
QUALIFICATIONS
  • 3+ years of experience with full-stack development
  • Collaborative mindset, able to work closely with engineers, product managers, and scientists to bring new ideas to life.
  • Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.

HOW WE WORK
This is an in-person team in San Francisco built around collaborating in the office in a fast-paced environment. We're in the office Monday through Friday.
#LI-KW1
Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer. That means we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

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