Job Description

About the Role

Key Responsibilities

• Design, develop, and maintain pipelines and workflows supporting computational chemistry, molecular modeling, applications.
• Work with molecular encoding formats such as SMILES notation and SDF molecular file formats; apply chemoinformatics methods to support data analysis and integration.
• Develop automation scripts for data processing tasks such as data averaging, user administration, and workflow automation.
• Troubleshoot software and data issues related to scientific workflows and databases.
• Participate in research and development of scientific software projects
• Collaborate with computational chemists, bioinformaticians, and senior data engineers to understand data requirements and translate them into scalable engineering solutions.
• Document data engineering processes, workflows, and best practices.
• Stay current with advances in data engineering technologies, scientific software, and HPC computing relevant to biopharma research.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Chemistry, or a related field.
• Proven experience working with scientific software such as Schrödinger, Amber, and Grace.
• Strong proficiency in Python programming, including experience with libraries for data processing and automation.
• Familiarity with molecular encoding formats (SMILES, SDF) and chemoinformatics methods.
• Experience developing automation scripts for data processing and user administration.
• Experience in user administration, training, and technical support.
• Experience with HPC software development and integration, including Python, Fortran, MPI, Git, job schedulers, and Linux.
• Experience with tools such as PySpark, R Shiny, PyTorch or similar.
• Ability to work independently with minimal supervision while collaborating effectively with cross-functional teams.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to document and share technical information clearly.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Singularity, Apptainer).
• Familiarity with database technologies (SQL, NoSQL) and data versioning tools.
• Knowledge of molecular modeling, computational chemistry, or related scientific domains.
• Experience with workflow management tools (e.g., Airflow, Nextflow).

What We Offer

• Opportunity to work at the cutting edge of biopharma research and drug discovery.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.
• Competitive salary and benefits package.

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Current Contingent Workers apply HERE

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