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Remote Chemistry Data Science Jobs in Mobile, AL

micro1 AI

Cheminformatics Specialist - Remote

Mobile, AL · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Bioinformatics Software Engineer

Mobile, AL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Hirekeyz Inc

Research Analyst IV

Dauphin Island, AL · Remote

Remote but need to be on-site for meetings and work sessions at FDA office Dauphin Island, AL ... Utilizes established mathematical and scientific techniques to compile and analyze data. Writes ...

Winaxis

IIB Developer

Mobile, AL · Remote

Contract IIB Developer 100% remote, Eastern time zone Candidate 6 months need pure commercial ... Experience in writing rules for data interchange in ESQL. * Expert level knowledge in IIB, MQ ...

Danaher

Sales Specialist

Mobile, AL · On-site +1

$118K - $133K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... Maintain accurate and timely opportunity funnel and customer data in SFDC with coaching as needed.

All JobsChemistry Data Science JobsRemote Chemistry Data Science JobsRemote Chemistry Data Science Jobs in Mobile, AL

Remote Chemistry Data Science information

See Mobile, AL salary details

$37.2K

$121.8K

$195K

How much do remote chemistry data science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote chemistry data science in Mobile, AL is $121,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a remote chemistry data scientist?

A Remote Chemistry Data Scientist is a professional who uses data science techniques to analyze and interpret chemical data, all while working remotely. They apply statistical modeling, machine learning, and computational methods to solve problems in chemistry, such as predicting chemical properties or optimizing experiments. These professionals often collaborate with chemists, researchers, and engineers to extract actionable insights from large datasets. Working remotely allows them to perform these tasks from anywhere, using digital communication and collaboration tools.

How do remote chemistry data scientists typically collaborate with laboratory teams and other stakeholders?

Remote Chemistry Data Science professionals often collaborate with laboratory teams and other stakeholders through virtual meetings, cloud-based data sharing platforms, and project management tools. Effective communication is key, as they translate complex data analyses into actionable insights for researchers and management. Regular check-ins, collaborative documentation, and participation in virtual lab discussions help ensure alignment on project goals and timelines. Building strong relationships remotely can be a challenge, but leveraging digital collaboration tools and proactive communication helps maintain productivity and teamwork.

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

To thrive as a Remote Chemistry Data Scientist, you need a strong background in chemistry, data analysis, and statistical modeling, often supported by an advanced degree in chemistry, data science, or related fields. Familiarity with programming languages like Python or R, cheminformatics tools, and data visualization platforms is typically required. Excellent problem-solving, communication, and self-motivation skills help you manage remote work, collaborate with interdisciplinary teams, and explain complex findings clearly. These capabilities are crucial for deriving actionable insights from chemical data and driving innovation in research and industry from a remote setting.

What is the difference between Remote Chemistry Data Science vs Remote Chemical Engineering Data Science?

AspectRemote Chemistry Data ScienceRemote Chemical Engineering Data Science
Required CredentialsBachelor's or Master's in Chemistry, Data Science skillsBachelor's or Master's in Chemical Engineering, Data Science skills
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsManufacturing plants, process industries, chemical companies
Employer & Industry UsageResearch & development, product formulation, quality controlProcess optimization, safety analysis, plant operations
Common Search & Comparison IntentUnderstanding roles in chemistry-focused data science jobsExploring data science roles in chemical engineering contexts

Remote Chemistry Data Science focuses on applying data analysis to chemical research, product development, and quality control within chemistry-related industries. In contrast, Remote Chemical Engineering Data Science emphasizes process optimization and plant operations in chemical manufacturing. While both roles require data science skills and chemistry or engineering backgrounds, their work environments and industry applications differ significantly.

What job categories do people searching Remote Chemistry Data Science jobs in Mobile, AL look for?

The top searched job categories for Remote Chemistry Data Science jobs in Mobile, AL are:

Remote Chemistry Data Science jobs near you
Infographic showing various Remote Chemistry Data Science job openings in Mobile, AL as of August 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 100% Remote job distribution, with an average salary of $121,797 per year, or $58.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Mobile, AL • Remote

$80 - $110/hr

Part-time

Posted 27 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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