Forward-Deployed Cheminformatician
TLDR
Bridge cheminformatics data curation, AI-driven drug discovery, and scalable pipelines to empower modern scientific models, collaborating with researchers across biology and chemistry.
- Define, develop, and maintain standardized binding-data preparation protocols, including data schemas, assay metadata structures, value normalization, duplicate handling, and quality control processes.
- Build and improve modular tooling, validation frameworks, and reusable pipelines that support diverse pharmaceutical data sources and ensure consistency across projects.
- Collaborate directly with pharmaceutical researchers, medicinal chemists, and biologists to interpret complex assay data, validate data quality, and facilitate successful data onboarding.
- Maintain and optimize small-molecule processing workflows, including molecular standardization, stereochemistry preservation, tautomer handling, ionization management, and filtering methodologies.
- Curate and harmonize large-scale public binding-data resources to support model development, benchmarking, and scientific research initiatives.
- Partner closely with engineering and machine learning teams to ensure data pipelines remain scalable, maintainable, and aligned with evolving product and research requirements.
- Drive documentation, process standardization, and knowledge sharing to transform manual data preparation efforts into repeatable and reliable workflows.
- Bachelor's, Master's, PhD, or equivalent qualification in Cheminformatics, Computational Chemistry, Pharmaceutical Sciences, or a related scientific discipline.
- At least 3 years of experience preparing and curating biological assay data within drug discovery, pharmaceutical research, or related scientific environments.
- Strong proficiency in Python and RDKit, including expertise in molecular representation, SMILES normalization, stereochemistry, scaffold extraction, tautomer handling, and related cheminformatics techniques.
- Hands-on experience working with quantitative binding assay data, including KD, Ki, IC50, pIC50, high-throughput screening data, and associated metadata interpretation.
- Proven ability to develop maintainable, well-tested code, implement validation frameworks, and work with modern software engineering practices and version control systems.
- Strong communication and stakeholder engagement skills, with the ability to collaborate effectively with scientific and technical audiences.
- Demonstrated ability to work independently, manage ambiguity, and transform complex data challenges into structured, repeatable processes.
- Familiarity with public scientific databases, federated data environments, AI-assisted workflows, or computational drug discovery platforms is considered an advantage.
- Competitive compensation package.
- Early-stage virtual share options.
- Fully remote work environment with location flexibility.
- Wellbeing allowance and mental health support resources.
- Home office budget and co-working stipend.
- Dedicated learning and professional development budget.
- Generous paid holiday allowance.
- Regular in-person team gatherings and collaborative office events across Europe.
- Opportunity to work alongside experienced professionals from leading scientific, technology, and research organizations.
- Exposure to innovative AI, pharmaceutical research, and drug discovery initiatives with significant industry impact.
Requirements
Benefits
Benefits
Equity Compensation
Early-stage virtual share options.
Home Office Stipend
Home office budget and co-working stipend.
Learning Budget
Dedicated learning and professional development budget.
Work on innovative research projects
Exposure to innovative AI, pharmaceutical research, and drug discovery initiatives with significant industry impact.
Paid Time Off
Generous paid holiday allowance.
Remote-Friendly
Fully remote work environment with location flexibility.
Wellness Stipend
Wellbeing allowance and mental health support resources.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services