ZipRecruiter

Log In

2

Remote Biotech Data Analyst Jobs in Provo, UT (NOW HIRING)

micro1 AI

Private Funds Attorney - Remote

Provo, UT · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

micro1 AI

Investment Management Counsel - Remote

Provo, UT · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

HireVue Inc

Product Manager | Fully Remote US

Sandy, UT · On-site +1

Product Analysis & Health (10%): Track metrics that matter-including sync success rates, customer ... Security & Data: Experience with OAuth 2.0, SAML, enterprise authentication patterns, and JSON/XML ...

HireVue Inc

Product Manager | Fully Remote US

Sandy, UT · Remote

Product Analysis & Health (10%): Track metrics that matter--including sync success rates, customer ... Security & Data: Experience with OAuth 2.0, SAML, enterprise authentication patterns, and JSON/XML ...

HireVue Inc

Product Manager | Fully Remote US

Sandy, UT · Remote

Product Analysis & Health (10%): Track metrics that matter-including sync success rates, customer ... Security & Data: Experience with OAuth 2.0, SAML, enterprise authentication patterns, and JSON/XML ...

DataAnnotation

M&A Associate - AI Trainer

Provo, UT · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Financial Planner - AI Trainer

Provo, UT · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Provo, UT · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

previous page

Showing results 41-60

All JobsBiotech Data Analyst JobsRemote Biotech Data Analyst JobsRemote Biotech Data Analyst Jobs in Provo, UT

Remote Biotech Data Analyst information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

How much do remote biotech data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote biotech data analyst in Provo, UT is $78,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 per year, depending on experience, location, and employer.

What is a remote biotech data analyst?

A Remote Biotech Data Analyst is a professional who works from a remote location to analyze and interpret complex biological data for biotech companies or research organizations. They use statistical and computational techniques to help make sense of data from experiments, clinical trials, or laboratory research. Their insights help guide scientific decisions, optimize processes, and support product development in the biotechnology field. This role typically requires strong skills in data analysis, biology, and proficiency with specialized software and databases.

What are the key skills and qualifications needed to thrive as a remote biotech data analyst, and why are they important?

To thrive as a Remote Biotech Data Analyst, you need a strong background in biology or life sciences, advanced data analysis skills, and typically a degree in bioinformatics, statistics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as experience with bioinformatics databases and software, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative, virtual environments. These skills enable accurate data interpretation, support scientific research, and drive innovation in biotechnology projects.

What is the difference between Remote Biotech Data Analyst vs Remote Bioinformatics Technician?

AspectRemote Biotech Data AnalystRemote Bioinformatics Technician
Required CredentialsBachelor's in Biology, Data Science, or related field; proficiency in data analysis toolsBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics software
Work EnvironmentRemote, often collaborating with research teams and data scientistsRemote or lab-based, supporting bioinformatics workflows and data processing
Industry UsagePharmaceuticals, biotech firms, research institutionsResearch labs, biotech companies, academic institutions
Common Search/ComparisonYesYes

The Remote Biotech Data Analyst and Remote Bioinformatics Technician roles share similar educational backgrounds and industry settings. However, data analysts focus more on interpreting and analyzing biological data, while bioinformatics technicians support data processing and software management. Both roles are essential in biotech research, often working remotely to advance scientific discoveries.

How does a remote biotech data analyst typically collaborate with cross-functional teams while working off-site?

Remote Biotech Data Analysts regularly collaborate with cross-functional teams, including researchers, lab technicians, and software engineers, primarily through virtual meetings, shared project management tools, and cloud-based data platforms. Effective communication is crucial, as analysts must clearly present findings and discuss data-driven recommendations with both technical and non-technical team members. While working remotely, they often face the challenge of aligning schedules across different time zones, but most organizations provide robust digital infrastructures and regular check-ins to ensure seamless collaboration and project progress.
What are the most commonly searched types of Biotech Data Analyst jobs in Provo, UT? The most popular types of Biotech Data Analyst jobs in Provo, UT are:
What are popular job titles related to Remote Biotech Data Analyst jobs in Provo, UT? For Remote Biotech Data Analyst jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Remote Biotech Data Analyst jobs in Provo, UT look for? The top searched job categories for Remote Biotech Data Analyst jobs in Provo, UT are:
What cities near Provo, UT are hiring for Remote Biotech Data Analyst jobs? Cities near Provo, UT with the most Remote Biotech Data Analyst job openings:
Remote Biotech Data Analyst jobs near you
Infographic showing various Remote Biotech Data Analyst job openings in Provo, UT as of August 2026, with employment types broken down into 71% Full Time, 8% Part Time, 8% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,174 per year, or $37.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orem, UT • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply