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Remote Life Science Jobs in Iowa (NOW HIRING)

DataAnnotation

Data Scientist

Nevada, IA · Remote

$40/hr

Applied skills in Statistics and/or Computer Science. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own ...

Danaher

FP&A Manager - Commercial Finance

Coralville, IA · On-site +1

$110K - $125K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the FP&A team located in Coralville, IA, and will be a remote position ...

Relativity

Senior Applied Scientist

Des Moines, IA · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

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How much do remote life science jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote life science in Iowa is $9.43, according to ZipRecruiter salary data. Most workers in this role earn between $9.42 and $9.42 per hour, depending on experience, location, and employer.

What is a Remote Life Science job?

A Remote Life Science job involves working in the fields of biology, biotechnology, pharmaceuticals, or related disciplines from a remote location. These roles can include research, data analysis, regulatory affairs, medical writing, or sales within the life sciences industry. Advances in technology allow professionals to conduct virtual experiments, collaborate with teams globally, and analyze complex biological data remotely. Many remote positions require strong communication skills, proficiency in digital tools, and a solid understanding of scientific principles. Companies hiring for these roles may include pharmaceutical firms, biotech startups, academic institutions, and research organizations.

What are the key skills and qualifications needed to thrive in the Remote Life Science position, and why are they important?

To excel in a Remote Life Science role, candidates typically need a background in biology, chemistry, or a related field along with strong analytical and research skills. Familiarity with industry-standard tools like electronic lab notebooks, statistical analysis software (e.g., R, Python), and relevant certifications such as a Life Sciences degree or specialized credentials may be required. Outstanding written and verbal communication skills, time management, and self-motivation are crucial soft skills for remote collaboration and project deadlines. These qualifications are vital for producing high-quality scientific work while effectively collaborating within virtual, multidisciplinary teams.

What are the typical challenges of working remotely in a Life Science role?

One of the main challenges of working remotely in a Life Science role is maintaining effective communication and collaboration with team members who may be located in different time zones or regions. Remote professionals must also adapt to working independently with minimal supervision, ensuring they stay organized and meet deadlines for research, analysis, or reporting. Utilizing collaboration tools, project management platforms, and virtual meetings becomes essential to stay engaged with colleagues and up-to-date on project progress. Despite these challenges, remote roles offer enhanced flexibility and often allow for a greater focus on in-depth research or data analysis, contributing to both personal and professional growth in the life sciences field.
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Remote Life Science jobs near you
Infographic showing various Remote Life Science job openings in Iowa as of May 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% Remote job distribution, with an average salary of $19,618 per year, or $9.4 per hour.
Staff Data Scientist - AI Trainer

Staff Data Scientist - AI Trainer

DataAnnotation

Nevada, IA • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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