Research Fellow, Computational Chemistry – 8+ years

Eurofins Discovery is very motivated to apply computational sciences data visualization bioinformatics and other data-driven approaches to all steps of the drug development process at every level of the organization. Given the expanding scope of the Drug Discovery Chemistry groups operations the successful candidate will have the opportunity to continue to build on the existing team to achieve this goal. S/he will be a champion of promoting computational sciences as an integral part of Hit Finding campaigns modern ML/AI supported drug discovery and Eurofins flagship Integrated Drug Discovery Programs under DiscoveryOne. .Work closely with DiscoveryAI business to support/lead Eurofins Discovery wider AI based initiatives.

This individual will be responsible for technical consultation with our chemistry and biology experts and scientists overseeing and leading scientific data governance analytical tool development computational chemistry methods development and meta-analyses of internal and external data from multiple technologies.

Essential Duties and Responsibilities:

• Represent Computational Chemistry as the subject matter expert for nonclinical research and development;
• Independently pursue research projects implement novel computational workflows and support a dynamic multi-disciplinary team focused on moving projects from the hit identification stage to the discovery of clinical candidate;
• Contribute to the development implementation and utilization of state-of-the-art computational software computer aided drug design and simulation techniques to help drive in silico drug discovery activities;
• Responsible for the analysis interpretation integration and reporting of research informatics data generated with internal teams and external clients;
• Partner with and support medicinal chemistry team during lead optimization related activities such as docking and scoring of the molecules from rational drug design
• Apply or develop new tools or data-mining techniques for integrative analysis and visualization of large data sets;
• Participate in data governance objectives working closely with IT and the laboratory teams;
• Provide transparency and regular communication on project status potential roadblocks for execution and new strategies with Drug Discovery Chemistry leadership;
• Ensures project activities aligns with Eurofins policies procedures and methodologies;
• Demonstrates and promotes the company vision;
• Regular attendance and punctuality;
• Conducts all activities in a safe and efficient manner;
• Performs other duties as assigned;
• Owns the accountability and responsibility of delivering to client needs and timeliness;
• Provides cross-functional support to other departments as required;
• Adjusts work hours as needed to meet client deadlines;
• Adheres to site or remote environmental health and safety (EHS) requirements

Qualifications :

• Proven track record of impact in drug discovery projects (e.g. contribution to lead identification/optimization progression of compounds into development)
• Strong understanding of medicinal chemistry principles and the ability to translate computational insights into actionable design hypotheses
• Experience with ligand-based design approaches (e.g. QSAR similarity searching conformational analysis)
• Knowledge of free energy methods (e.g. FEP MM-GBSA) and their practical application/limitations
• Experience handling and curating large chemical and biological datasets (data quality standardization reproducibility)
• Familiarity with modern AI/ML approaches in drug discovery (e.g. deep learning generative models) and their appropriate use cases
• Ability to design validate and benchmark computational workflows rather than only applying existing protocols
• Strong statistical thinking and understanding of uncertainty validation strategies and model performance metrics
• Experience working in cross-functional teams (medicinal chemistry biology DMPK) and communicating results to non-experts
• Exposure to ADMET prediction tools and integration into design cycles
• Ability to critically assess experimental data (SAR assay variability) and integrate it into modeling efforts
• Leadership or mentoring experience Strategic thinking in selecting and deploying computational AI & ML  approaches aligned with project goals

Additional Information :

Title depends on Years of Experience

• Research Fellow Computational Chemistry 8 years
• Track record of scientific accomplishment demonstrated by publications patents or presentations;

Ability and/or Skills (BMQ):

• Very good interpersonal relation skills at all levels of the organization with capability to influence decisions and lead others to achieve results;
• Experience with projects and teams that span multiple time-zones and different cultures;
• Excellent verbal written analytical and presentation communication skills namely of design rational key experimental results issues and accomplishments; adept at communicating a clear vision down up and across effectively aligning resources and motivating teams to achieve goals;
• Proven ability to successfully influence cross-functionally and to be sought after as a technical expert within the computational sciences applied to drug development domain;
• Responsive problem solver and proactive to take actions;
• Details oriented analytical and investigation skills;
• Ability to multitask with organization manage own priorities and deliverables both independently in an the team setting;
• Strong customer focus and ability to manage (internal or external) client expectations;
• Ability to work in a complex international environment;
• Demonstrates a positive attitude capacity for team environment and exhibits a genuine interest in drug discovery in support of advancing human health.

Additional preferences:

• Demonstrated ability to work collaboratively in a research program environment and generate hypotheses from computational analysis of data that are strategically aligned with organizational goals and resources;
• A mentor and coach who brings strategic experience to drive change adoption to enable long term success for computational sciences and AI/ML approaches applied to Drug Discovery and Eurofins Discovery as a whole.

Other Factors:

• Successful completion of the companys safety program is required.
• Travels to other Eurofins facilities is required. Percentage of working time of approximately 25-50%.

Remote Work :

Yes

Employment Type :

Full-time