Expert II Data Science, Structural Bioinformatician

Key Responsibilities

• Actively contribute to the biologics discovery pipeline and innovation-related programs by applying structure modeling methods to design and optimize both tool and therapeutic molecules at different stages of the drug discovery process.
• Assist scientists across the organization in the analysis and design of protein and oligonucleotide sequences, advancing biologics projects from early discovery to lead optimization stages.
• Apply, develop, and improve computational structural modeling and AI/ML-based methods to analyze, predict and design functional properties of drug candidates.
• Collect, analyze, and integrate diverse types of data (including structural data) from different projects to build predictive models, formulate hypotheses, and generate actionable knowledge.
• Contribute to the design, utilization, and improvement of bioinformatics tools in the field of molecular modeling to analyze sequence and structure data for knowledge generation.
• Work closely with experimental scientists, fostering a collaborative and multidisciplinary environment to drive project success.

Essential Requirements:

• Educational Background: Ph.D (recent Ph.D. welcome to apply) MS or equivalent degree in bioinformatics, computational biology, computer science, structural biology or a related field with 4 years of relevant industry research experience.
• Technical Expertise: Experience with protein sequence & structure analysis, molecular modeling and bioinformatics databases and tools.
• Programming Skills: Competence in at least one programming language such as Python, R, C/C++ or similar and experience with HPC environments for running computationally intensive calculations and analyses.
• AI/ML Proficiency: Working knowledge in development or application of modern AI and ML approaches for protein structure prediction, protein-protein and/or protein-oligonucleotide interaction prediction, and protein design

Desirable Requirements:

• Prior experience in the pharmaceutical or biotechnology industry is desirable but not essential. Experience in a research or academic setting with a focus on biologics molecules is also valuable.
• Advanced understanding of the structure and function of common biologics modalities such as antibodies, ADCs, AAV or RNA
• Prior experience with commercial molecular modeling software (MOE, Schrodinger, etc.) is highly desirable
• Experience with predictive modeling and incorporation of AI/ML models into in silico workflows for biologics function/property prediction including performance evaluation, retraining and adaptation of models.
• Familiarity with version control systems like Git for collaborative coding and project management
• Analytical Skills: Strong ability to analyze, integrate & interpret complex biological data, particularly in the context of protein sequences and structures.
• A creative and innovative mindset, with a keen interest in advancing the field of biologics through cutting-edge computational methods.
• Demonstrated ability to develop hypotheses, design experiments, and drive projects to successful completion.
• Excellent communication and teamwork skills, with the ability to work effectively in a multidisciplinary environment.