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Remote Data Conversion Specialist Jobs in Draper, UT

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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How much do remote data conversion specialist jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote data conversion specialist in Draper, UT is $25.22, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $40.24 per hour, depending on experience, location, and employer.

What is a remote data conversion specialist?

A Remote Data Conversion Specialist is responsible for transforming data from one format to another while ensuring accuracy and consistency. This role often involves working with databases, spreadsheets, and various software tools to clean, standardize, and migrate data efficiently. Specialists collaborate with teams to understand data requirements and troubleshoot conversion challenges. Since the job is remote, strong communication and problem-solving skills are essential to coordinating with clients and colleagues online.

What are the key skills and qualifications needed to thrive as a remote data conversion specialist?

To thrive as a Remote Data Conversion Specialist, you need expertise in data analysis, database management, file formatting, and a keen attention to detail, often supported by a bachelor's degree in IT, computer science, or a related field. Familiarity with tools such as SQL, Excel, ETL software, and data migration platforms—alongside certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate—are commonly required. Strong organizational skills, problem-solving ability, and proactive communication help specialists stand out in distributed, cross-functional teams. These combined skills ensure the accurate, efficient, and secure conversion of data essential to organizational operations.

What are some typical challenges faced by remote data conversion specialists and how can they be addressed?

Remote Data Conversion Specialists often encounter challenges such as handling inconsistent or incomplete source data, navigating complex data structures, and ensuring data integrity throughout the conversion process. Addressing these challenges usually involves thorough data validation, continual communication with clients or internal stakeholders, and leveraging specialized tools for data cleaning and migration. Being proactive in identifying possible discrepancies and setting up a robust quality assurance process can greatly minimize errors. Effective time management and collaboration with IT or business analyst teams can also ensure that project deadlines are met and deliverables are aligned with client expectations. Overcoming these obstacles is key to delivering smooth data transitions and maintaining the trust of clients and colleagues alike.

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Remote Data Conversion Specialist jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

West Jordan, UT • Remote

$90 - $120/hr

Part-time

Posted 24 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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