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Applied Biotech Jobs in Missouri (NOW HIRING)

Pfizer

Senior Computational Chemist

California, MO · On-site

$106 - $177/hr

Applied ML and Cheminformatics:* Independently frame ambiguous medicinal chemistry problems into ... Prior experience in pharmaceutical or biotech drug discovery environments.* Familiarity with ...

ClinChoice

Requires understanding and application of regulations and standards applied in clinical research ... biotechnology, medical device, and consumer health companies. We have over 28 years of proven high ...

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How much do applied biotech jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for applied biotech in Missouri is $23.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $29.09 per hour, depending on experience, location, and employer.

What are applied biotech jobs?

Applied biotech jobs involve using biological processes and organisms to solve real-world problems in industries such as healthcare, agriculture, and environmental science. Professionals in this field may work on developing new medicines, improving crop yields, or creating sustainable materials. These roles often require knowledge of genetics, molecular biology, and bioengineering, as well as laboratory and analytical skills. Applied biotech careers can be found in research labs, pharmaceutical companies, and biotech startups.

What are the key skills and qualifications needed to thrive as an applied biotechnologist?

To thrive as an Applied Biotechnologist, you need a strong background in biology, chemistry, and molecular techniques, often supported by a bachelor's or master's degree in biotechnology or a related field. Familiarity with laboratory instruments, PCR, chromatography, and bioinformatics tools, as well as certifications like GLP or GMP, is highly valuable. Attention to detail, analytical thinking, and effective teamwork are crucial soft skills in this role. These competencies enable accurate experimentation, data interpretation, and innovation, which are vital for advancing biotechnological solutions and ensuring regulatory compliance.

What are some common challenges faced by professionals working in applied biotechnology roles?

Professionals in applied biotechnology often encounter challenges such as adapting to rapidly evolving technologies, maintaining regulatory compliance, and effectively collaborating with interdisciplinary teams. The work can involve troubleshooting experimental protocols, meeting tight project deadlines, and ensuring product quality and safety standards are met. Additionally, staying current with industry advancements and integrating new scientific findings into practical applications is essential for ongoing success in the field.

What is the difference between Applied Biotech vs Laboratory Technician?

AspectApplied BiotechLaboratory Technician
CredentialsBachelor's in Biotechnology, Life Sciences, or related fieldsAssociate's or Bachelor's in Laboratory Technology or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsClinical, research, or industrial laboratories
Industry UsageBiotech, pharmaceutical, research institutionsHealthcare, research, manufacturing
Job FocusResearch, product development, experimental analysisSample testing, data recording, equipment operation

Applied Biotech professionals typically engage in research and development activities within biotech and pharmaceutical companies, requiring a strong background in biotechnology. Laboratory Technicians focus on conducting tests, maintaining lab equipment, and supporting research or clinical work. While both roles work in laboratory settings, Applied Biotech roles are more research-oriented, whereas Laboratory Technicians handle routine testing and sample processing.

What can you do with an applied biotech degree?

An applied biotech degree prepares individuals for roles in research, development, and manufacturing within the biotechnology and pharmaceutical industries. Graduates can work as lab technicians, quality control analysts, research scientists, or regulatory affairs specialists, often using laboratory skills, data analysis, and knowledge of biotech tools. The degree may also lead to careers in healthcare, agriculture, or environmental sectors, sometimes requiring certifications or advanced training.

What are popular job titles related to Applied Biotech jobs in Missouri?

For Applied Biotech jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Applied Biotech jobs in Missouri look for?

The top searched job categories for Applied Biotech jobs in Missouri are:

What cities in Missouri are hiring for Applied Biotech jobs?

Cities in Missouri with the most Applied Biotech job openings:

Applied Biotech jobs near you
Infographic showing various Applied Biotech job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $49,679 per year, or $23.9 per hour.

Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab

NVIDIA Gruppe

California, MO • On-site

$184 - $287.50/hr

Other

Posted 5 days ago

Job description

NVIDIA is seeking a Senior Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on GPU-accelerated simulations for clinical sciences and autonomous labs.

As a pioneer in accelerated computing, NVIDIA empowers pharmaceutical, biotech, and healthcare organizations to unlock new possibilities in patient modeling, laboratory and biomanufacturing robotic systems, and multi‑agent reasoning.

What you will be doing:
  • Guide customers through the end-to-end adoption of GPU‑accelerated AI, from requirements gathering and proof‑of‑concept development to deployment, integration, and ongoing optimization.
  • Architect libraries such as GPU‑accelerated solvers for quantitative systems pharmacology and CPU‑to‑GPU migration of scientific workloads.
  • Perform low-level CUDA optimization, including custom kernels to accelerate simulation and inference workloads in drug discovery.
  • Build physical AI and robotics solutions for autonomous labs and biomanufacturing such as sim‑to‑real VLA pipelines, real‑time control layers, and integration of perception, control, and policy stacks on NVIDIA platforms.
  • Design and deploy biomedical agentic AI systems, such as graph-based retrieval, multi‑hop clinical reasoning, and persistent agent memory.
  • Keep up to date on AI advancements in healthcare, including domain‑specific models, robotics, and agentic frameworks.
  • Engage with life science executives, IT leaders, data scientists, and developers to drive adoption of NVIDIA AI stack.
  • Share your findings through training sessions, white papers, blog posts, and conference talks.
What we need to see:
  • MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational Chemistry, Robotics, or related fields with strong applied experience.
  • 8+ years of experience.
  • Proven track record in software development for AI/ML, scientific computing, GPU acceleration, or robotics applied to healthcare or life sciences.
  • Hands‑on experience across at least two of the three focus areas: GPU‑accelerated scientific simulation, sim‑to‑real robotics, and end‑to‑end agentic AI.
  • Proficiency in Python and AI/ML frameworks (PyTorch, LangChain, or custom). Experience with C/C++ and CUDA strongly preferred.
  • Experience deploying and scaling GPU‑accelerated solutions in cloud or HPC environments (OCI, AWS, Azure, or on‑prem clusters).
  • Excellent communication skills with the ability to present complex technical concepts to both technical and non‑technical audiences.
  • Up to 20% travel may be required for on‑site customer engagements.
Ways to stand out from the crowd:
  • Experience building GPU‑accelerated scientific solvers, including low‑level CUDA kernel optimization.
  • Background with sim‑to‑real robotics for life sciences—autonomous labs, biomanufacturing, surgical/clinical platforms—including MuJoCo or Isaac Sim, VLA pipelines, real‑time control layers, and depth/RGB perception stacks.
  • Experience building, deploying, and evaluating agentic AI systems for healthcare—graph RAG over biomedical literature, long‑memory agents, vision‑based clinical event detection in production.
  • Familiarity with NVIDIA libraries and platforms.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD–287,500 USD for Level4, and 224,000 USD–356,500 USD for Level5.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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