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Biotechnology Jobs in Iowa (NOW HIRING)

Kellton

Imaging Data Scientist

Johnston, IA · On-site

$75/hr

Solutions will be developed primarily in Python, integrated with our repositories and workflow tooling, and aligned with Biotech strategy initiatives Responsibilities: * Design & deliver deep ...

Iff

Senior Engineer, H&B Yeast Manufacturing

Cedar Rapids, IA · On-site

$89K - $121K/yr

Knowledge of industrial biotechnology process technology, ideally with a focus on yeast manufacturing. * Project management experience, including the ability to support complex technical initiatives ...

Schwegman Lundberg & Woessner P.A.

D. in engineering, software or related fields, chemistry or biotech * USPTO registration required * Excellent technical writing and analytical skills What you'll do * Work in a collaborative ...

Schwegman Lundberg & Woessner P.A.

S./Ph.D. in engineering, software or related fields, chemistry or biotech * 5+ years of experience in drafting and prosecuting patent applications preferred * Industry experience and advanced ...

Iff

QA Lab Analyst

Cedar Rapids, IA · On-site

Experience working in QA/QC within a biotechnology or manufacturing environment * Familiarity with regulatory standards such as GMP, HACCP, or ISO * Experience with microbiological testing and ...

Amgen

Imaging Specialist Manager

Des Moines, IA · On-site +1

It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together-researching,manufacturingand delivering ever-better products that ...

Elanco

Bio Process Scientist

Fort Dodge, IA

D. in Microbiology, Virology, Biochemical Engineering, Chemical Engineering, Biotechnology, Biology, or another relevant scientific discipline. * Experience: Minimum of 2-3 years of experience ...

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How much do biotechnology jobs pay per year?

As of Sep 2, 2026, the average yearly pay for biotechnology in Iowa is $79,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,590.00 and $94,631.00 per year, depending on experience, location, and employer.

What is biotechnology?

Biotechnology is a field that combines biology, technology, and engineering to develop products and processes based on living organisms or their components. It plays a crucial role in areas such as medicine, agriculture, environmental management, and industrial production. Biotechnology professionals work on innovations like developing new pharmaceuticals, improving crop yields, and creating sustainable biofuels. The field is interdisciplinary, drawing from biology, chemistry, genetics, and computer science.

What are the qualifications to get a job in biotechnology?

The qualifications that you need to start working in biotechnology include a degree and demonstrable research and analysis skills. Most positions require a bachelor’s degree in biology or a related science subject like chemistry. Research positions may require a postgraduate degree, such as a master's or Ph.D. in biochemistry, biotechnology, or biophysics. Technical support employees and lab technicians may find employment with an associate or bachelor’s degree in biology or another science-related field.

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

To thrive in Biotechnology, you need a solid background in biology, chemistry, and laboratory techniques, usually supported by a degree in biotechnology or a related field. Familiarity with tools such as PCR, spectrophotometers, CRISPR gene-editing systems, and data analysis software is highly valued, and certifications in laboratory safety or quality management can be advantageous. Strong analytical thinking, problem-solving skills, and effective teamwork set outstanding professionals apart in this field. These competencies are crucial for driving innovation, ensuring accurate research outcomes, and translating discoveries into real-world applications.

What are some common challenges faced by professionals working in biotechnology research and development teams?

Professionals in biotechnology R&D often encounter challenges such as keeping up with rapidly evolving technologies, navigating complex regulatory requirements, and managing interdisciplinary collaboration between scientists, engineers, and business teams. Balancing innovation with strict compliance standards can be demanding, and project timelines may shift due to unexpected experimental results. However, these challenges also foster a dynamic work environment that encourages continuous learning and problem-solving.

What is the difference between Biotechnology vs Biomedical Engineer?

AspectBiotechnologyBiomedical Engineer
Required CredentialsBachelor's or Master's in Biotechnology, Biology, or related fieldsBachelor's or Master's in Biomedical Engineering or related fields
Work EnvironmentLabs, research facilities, biotech companiesHospitals, medical device companies, research labs
Industry UsagePharmaceuticals, agriculture, environmental biotechMedical devices, healthcare, prosthetics

Biotechnology and Biomedical Engineering share overlapping credentials and work environments, but biotechnology focuses on developing products like drugs and genetically modified organisms, while biomedical engineering emphasizes designing medical devices and equipment. Both careers are vital in healthcare and research sectors, often collaborating but with distinct specializations.

What can you do with a biotechnology degree?

A biotechnology degree prepares individuals for roles such as research scientist, lab technician, quality control analyst, or bioprocess engineer. Graduates can work in pharmaceuticals, healthcare, agriculture, or environmental sectors, often utilizing laboratory skills, data analysis, and knowledge of biological systems.

What jobs do you get in biotechnology?

Biotechnology offers a range of jobs including research scientist, bioprocess engineer, quality control analyst, laboratory technician, and regulatory affairs specialist. These roles often require knowledge of laboratory techniques, data analysis, and sometimes advanced degrees or certifications in biology, chemistry, or related fields.
More about Biotechnology jobs

What are the most commonly searched types of Biotechnology jobs in Iowa?

The most popular types of Biotechnology jobs in Iowa are:

What are popular job titles related to Biotechnology jobs in Iowa?

For Biotechnology jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Biotechnology jobs in Iowa look for?

The top searched job categories for Biotechnology jobs in Iowa are:

What cities in Iowa are hiring for Biotechnology jobs?

Cities in Iowa with the most Biotechnology job openings:

Biotechnology jobs near you
Infographic showing various Biotechnology job openings in Iowa as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $79,515 per year, or $38.2 per hour.

Imaging Data Scientist

Kellton

Johnston, IA • On-site

$75/hr

Other

Re-posted 6 days ago

Job description

Imaging Data Scientist
Location: Johnston, IA 50131 Locals only within 50-mile required onsite T/W/TH each week
Duration: 12 months + extensions
Max Pay Rate: $75/hr W2 (No Benefits) - DOE

No C2C at this time

Project Scope and Brief Description

Work at the intersection of plant cell biology and applied AI to build, productionize, and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. The contractor will contribute to endtoend imaging and analytics from microscopy microspore detection to macroscopic structure assessment and plantlet characterization supporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python, integrated with our repositories and workflow tooling, and aligned with Biotech strategy initiatives

Responsibilities:

  • Design & deliver deep learning-based CV models for microscopy and macroscopic assays (detection, segmentation, classification) with measurable accuracy, robustness, and throughput.
  • Build productionready pipelines in Python (data ingest, preprocessing, augmentation, inference, batch processing), integrated with GitLab repos and experiment tracking; ensure reproducibility and documentation.
  • Implement hyperspectral analysis workflows (band selection, normalization, feature extraction, model training).
  • Harmonize imaging acquisition with analysis by collaborating with biology teams to standardize microscopy/RGB/hyperspectral capture and file formats (e.g., FIJI/ImageJ for zstacks; autoscale practices).
  • Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports/posters for DH sessions; support factchecking in presentations.
  • Operationalize at scale: batch processing of tens of thousands of structures/images; optimize inference (e.g., torch.compile, mixed precision) and monitor resource usage.
  • Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones.
  • Maintain IP & data stewardship practices consistent with internal strategy; avoid disclosure of confidential protocols while enabling model reuse

Must Have:

  • 4 6 years handson in computer vision with Python (PyTorch/TensorFlow), including detection/segmentation/classification for scientific or industrial imaging.
  • Proven ability to productionize models: Git/GitLab, code reviews, CICD basics, experiment tracking (MLFlow or equivalent), reproducible data/experiments, and clear documentation.
  • Experience with microscopy image processing, multipage TIFFs, zstacks, autoscale/normalization, and image quality challenges.
  • Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing, dimensionality reduction, modeling) applied to plant or biological materials.
  • Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences.

NicetoHave

  • Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling.
  • Experience optimizing inference (e.g., torch.compile, mixed precision) and scaling batch workflows.
  • Domain familiarity with Biotech breeding workflows.
  • Collaboration with discovery and strategy teams; ability to work across biology, engineering, and data science groups.

Soft Skills

  • Strong stakeholder communication and the ability to translate biology & process constraints into CV requirements; comfortable triaging and prioritizing rapidly in active programs.
  • Ownership mindset around documentation, reproducibility, and IPaware sharing.
  • Curious and learning mindset
  • Technical leadership experience

Apply