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Remote Cheminformatics Scientist Jobs (NOW HIRING)

Jobgether

Strong academic or professional background in Chemistry, Cheminformatics, or a closely related ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

Chemify Ltd

Staff CADD Scientist

San Francisco, CA · On-site +1

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our ... Strong Python and at least one core cheminformatics toolkit (e.g. RDKit, OpenEye); real experience ...

All JobsCheminformatics Scientist JobsRemote Cheminformatics Scientist Jobs

Remote Cheminformatics Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote cheminformatics scientist jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote cheminformatics scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Remote Cheminformatics Scientist?

A Remote Cheminformatics Scientist is a professional who applies computational techniques and information technology to solve chemical and pharmaceutical problems, while working from a location outside of a traditional laboratory or office. They analyze chemical data, develop algorithms, and create software tools to support research in drug discovery, materials science, and other fields. Their work often involves collaborating with multidisciplinary teams, managing large datasets, and building predictive models, all while utilizing specialized cheminformatics platforms remotely.

How do Remote Cheminformatics Scientists typically collaborate with cross-functional teams while working offsite?

Remote Cheminformatics Scientists often work closely with computational chemists, data scientists, and laboratory researchers through digital collaboration tools such as shared databases, cloud platforms, and regular video conferences. Clear communication and documentation are essential, as project updates and data analyses are frequently shared asynchronously. Virtual team meetings and collaborative platforms like Slack or Microsoft Teams help maintain alignment and ensure smooth project progress. Building strong relationships remotely requires proactive engagement and responsiveness to team needs.

What is the difference between Remote Cheminformatics Scientist vs Remote Bioinformatics Scientist?

AspectRemote Cheminformatics ScientistRemote Bioinformatics Scientist
Required CredentialsDegree in Chemistry, Bioinformatics, or related field; experience with cheminformatics toolsDegree in Biology, Bioinformatics, or related field; experience with biological data analysis
Work EnvironmentPharmaceutical or chemical industry; research labs; remote options commonBiotech or healthcare industry; research labs; remote work frequently available
Employer & Industry UsageUsed by pharma, chemical companies, and research institutionsCommon in biotech, healthcare, and academic research

The Remote Cheminformatics Scientist and Remote Bioinformatics Scientist roles share similarities in required credentials and work environments, often involving remote work in research-focused industries. The main difference lies in their focus areas: cheminformatics emphasizes chemical data and molecular modeling, while bioinformatics centers on biological data analysis. Both roles are vital in advancing research and drug discovery, with overlapping skills but distinct domain expertise.

What are the key skills and qualifications needed to thrive as a Remote Cheminformatics Scientist, and why are they important?

To thrive as a Remote Cheminformatics Scientist, you need a solid background in chemistry, computational science, and data analysis, typically supported by an advanced degree in chemistry, bioinformatics, or a related field. Familiarity with cheminformatics software (such as RDKit or Open Babel), programming languages like Python, and experience with databases and machine learning tools are commonly required. Strong problem-solving abilities, attention to detail, and effective remote communication skills distinguish top performers in this role. These competencies are essential for efficiently analyzing chemical data, collaborating with interdisciplinary teams, and driving innovative research in a virtual environment.
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Remote Cheminformatics Scientist jobs near you

Senior Data Scientist

Jobgether

On-site, Remote

Contractor

Posted 9 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Netherlands.

This is an exciting opportunity to lead the development of an advanced AI-powered document intelligence platform that tackles complex, real-world data challenges. In this role, you will combine expertise in machine learning, generative AI, and scientific data analysis to transform unstructured documents into searchable, actionable knowledge. Working alongside multidisciplinary experts, you will design scalable AI solutions, develop production-ready ML pipelines, and leverage cloud technologies to deliver high-impact outcomes. The position offers significant technical ownership, exposure to cutting-edge technologies, and the chance to contribute to innovative projects at the intersection of AI and scientific research. If you thrive on solving challenging problems and building intelligent systems from the ground up, this role offers an outstanding opportunity to make a meaningful impact.

Accountabilities:
  • Design, develop, and optimize advanced machine learning and deep learning models capable of extracting, interpreting, and structuring information from unstructured and scanned PDF documents, including complex scientific data.
  • Build and enhance Large Language Model (LLM) applications by leveraging vector databases and retrieval-augmented generation (RAG) techniques to enable semantic search and intelligent document discovery.
  • Own the full machine learning lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, monitoring, and continuous optimization.
  • Apply domain expertise to convert complex scientific or chemical information into machine-readable representations that support advanced analytics and AI-driven insights.
  • Deploy scalable, secure, and production-ready AI solutions within AWS cloud environments while ensuring performance, reliability, and maintainability.
  • Collaborate closely with software engineers, data engineers, and subject matter experts to integrate AI models into production systems and align technical solutions with business objectives.
  • Continuously evaluate emerging AI, machine learning, and document intelligence technologies to improve platform capabilities and solution effectiveness.
Requirements
  • Minimum of 5 years of professional experience as a Data Scientist delivering production-grade machine learning solutions.
  • Strong academic or professional background in Chemistry, Cheminformatics, or a closely related scientific discipline, with experience working with complex scientific data.
  • Advanced proficiency in Python and extensive hands-on experience with AWS cloud services such as SageMaker, Lambda, S3, EC2, or similar technologies.
  • Practical experience developing applications with Large Language Models (LLMs), including prompt engineering, fine-tuning, API integration, or retrieval-augmented generation (RAG).
  • Experience working with vector databases such as Pinecone, Milvus, Weaviate, Qdrant, or similar semantic search technologies.
  • Solid expertise with machine learning and deep learning frameworks including PyTorch, TensorFlow, Scikit-learn, or equivalent tools.
  • Previous experience with Computer Vision, Optical Character Recognition (OCR), Document AI, or intelligent document processing solutions is highly desirable.
  • Excellent analytical thinking, problem-solving, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Availability to join immediately is preferred.
  • Comfortable working remotely within European Central Time (CET) hours.
Benefits
  • Fully remote position with collaboration across the European CET time zone.
  • Immediate opportunity to contribute to a high-impact, cutting-edge AI project.
  • Short-term B2B contract (approximately 2 months) with the potential to expand your professional network through innovative initiatives.
  • Opportunity to work with advanced technologies, including Generative AI, LLMs, vector databases, cloud-native AI solutions, and intelligent document processing.
  • Collaborative environment that values knowledge sharing, technical excellence, continuous learning, and innovation.
  • High level of autonomy, ownership, and flexibility with a strong focus on delivering impactful outcomes.
  • Access to a community of experienced AI and machine learning professionals through collaborative projects, mentorship opportunities, and innovation initiatives.
  • Opportunity to contribute to meaningful AI solutions that solve complex scientific and data-intensive challenges.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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