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Cheminformatics Remote 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 JobsCheminformatics Remote Jobs

Cheminformatics Remote information

See salary details

$15

$27

$37

How much do cheminformatics remote jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for cheminformatics remote in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote cheminformatics roles, and how can they be addressed?

Remote cheminformatics professionals often face challenges such as collaborating across time zones, accessing secure databases, and maintaining effective communication with interdisciplinary teams. To address these, many companies implement robust digital collaboration tools, prioritize regular virtual meetings, and establish clear documentation practices. Being proactive in communication and leveraging shared project management platforms can help streamline workflows and ensure everyone stays aligned, despite the physical distance.

What are the key skills and qualifications needed to thrive as a Cheminformatics professional in a remote role, and why are they important?

To excel as a Cheminformatics professional working remotely, you need a strong background in chemistry, computer science, and data analysis, typically supported by a degree in chemistry, bioinformatics, or a related field. Familiarity with cheminformatics tools (such as RDKit, Open Babel), programming languages (like Python or Java), and experience with chemical databases and data visualization software are essential. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project management. These skills and qualities enable effective analysis of chemical data, facilitate remote teamwork, and drive innovation in drug discovery and research.

What is cheminformatics and what does a remote cheminformatics job involve?

Cheminformatics is a scientific field that combines chemistry and computer science to analyze, visualize, and manage chemical data using computational techniques. In a remote cheminformatics job, professionals typically develop software tools, databases, and algorithms to process chemical information, support drug discovery, or predict molecular properties. Remote roles allow experts to collaborate with research teams, analyze chemical datasets, and contribute to scientific projects from anywhere, using specialized software and communication tools.

What is the difference between Cheminformatics Remote vs Data Scientist?

AspectCheminformatics RemoteData Scientist
Required credentialsBachelor's or Master's in Chemistry, Bioinformatics, or related fields; knowledge of cheminformatics toolsBachelor's or Master's in Computer Science, Statistics, or related fields; programming skills in Python, R
Work environmentRemote, often in research labs or pharmaceutical companiesRemote or on-site, in tech companies, finance, or healthcare
Employer and industry usagePrimarily in pharmaceuticals, biotech, and chemical industriesAcross various industries including tech, finance, healthcare

Cheminformatics Remote roles focus on chemical data analysis and drug discovery, requiring chemistry-related credentials. Data Scientists work with broader data analysis across industries, often with programming expertise. While both can be remote, their industry focus and skill sets differ significantly.

More about Cheminformatics Remote jobs
What cities are hiring for Cheminformatics Remote jobs? Cities with the most Cheminformatics Remote job openings:
What are the most commonly searched types of Cheminformatics jobs? The most popular types of Cheminformatics jobs are:
What states have the most Cheminformatics Remote jobs? States with the most job openings for Cheminformatics Remote jobs include:
What job categories do people searching Cheminformatics Remote jobs look for? The top searched job categories for Cheminformatics Remote jobs are:
Cheminformatics Remote jobs near you
Infographic showing various Cheminformatics Remote job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 3% Internship, 2% As Needed, 90% Part Time, 3% Temporary, and 1% Nights. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

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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