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Remote Data Scientist Deep Learning Jobs in Iowa

Varsity Tutors

TEAS Tutor

Ames, IA · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

TEAS Tutor

Iowa City, IA · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

AP Computer Science A Tutor

Ames, IA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of Java programming including primitive types, objects, boolean expressions ...

TEKsystems

Sr. AWS Data Engineer

Des Moines, IA · Remote

$65 - $75/hr

... data science use cases Hands-on experience building and operating systems for data extraction ... remote position. Application Deadline This position is anticipated to close on Aug 21, 2026. About ...

Varsity Tutors

College Computer Science Tutor

Ames, IA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of data structures, algorithms, object-oriented ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Elementary School Science Tutor

Ames, IA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of life science including plants, animals, and ecosystems, earth science including ...

Varsity Tutors

Life Sciences Tutor

Iowa City, IA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of cell biology, molecular biology, genetics, evolution, ecology, organismal biology ...

Varsity Tutors

Life Sciences Tutor

Ames, IA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of cell biology, molecular biology, genetics, evolution, ecology, organismal biology ...

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Remote Data Scientist Deep Learning information

What is a remote data scientist specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do remote data scientists specializing in deep learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are popular job titles related to Remote Data Scientist Deep Learning jobs in Iowa?

For Remote Data Scientist Deep Learning jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Deep Learning jobs in Iowa look for?

The top searched job categories for Remote Data Scientist Deep Learning jobs in Iowa are:

What cities in Iowa are hiring for Remote Data Scientist Deep Learning jobs?

Cities in Iowa with the most Remote Data Scientist Deep Learning job openings:

Remote Data Scientist Deep Learning jobs near you
Infographic showing various Remote Data Scientist Deep Learning job openings in Iowa as of June 2026, with employment types broken down into 3% As Needed, 43% Full Time, 46% Part Time, 3% Temporary, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Davenport, IA • Remote

$80 - $110/hr

Part-time

Posted 18 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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