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Remote Fintech Data Scientist Jobs in Utah (NOW HIRING)

RC Willey Home Furnishings

Data Engineer

Salt Lake City, UT · On-site +1

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote work and relocation support are not offered** Key Responsibilities * Utilize SQL to query ... Bachelor's degree (or higher) in Computer Science, Information Technology, or related field ...

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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Remote Fintech Data Scientist information

What is the difference between Remote Fintech Data Scientist vs Remote Fintech Data Analyst?

AspectRemote Fintech Data ScientistRemote Fintech Data Analyst
Required SkillsAdvanced statistical, machine learning, and programming skillsData interpretation, reporting, and basic analytics skills
CertificationsOften holds certifications like Certified Data Scientist or relevant data science coursesTypically has certifications in data analysis or business intelligence tools
Work EnvironmentDevelops models, algorithms, and predictive analytics in fintech companiesPrepares reports, dashboards, and insights for business decisions in fintech
Industry UsageUsed for complex data modeling and predictive analytics in fintechUsed for data reporting and basic analysis in fintech firms

In summary, Remote Fintech Data Scientists focus on building models and advanced analytics, requiring programming and machine learning expertise. Remote Fintech Data Analysts primarily interpret data and generate reports, with less emphasis on coding and modeling. Both roles are vital in fintech but serve different analytical needs.

Can I work remotely as a remote fintech data scientist?

Yes, many fintech data scientist roles are available as remote positions, especially with the increasing adoption of remote work policies in the industry. These roles typically require strong skills in data analysis, programming, and familiarity with financial technologies, and often involve collaboration through online tools and platforms.

What are popular job titles related to Remote Fintech Data Scientist jobs in Utah?

For Remote Fintech Data Scientist jobs in Utah, the most frequently searched job titles are:

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The top searched job categories for Remote Fintech Data Scientist jobs in Utah are:

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Cities in Utah with the most Remote Fintech Data Scientist job openings:

Remote Fintech Data Scientist jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 15 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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