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Joulé · 13 hours ago

Computational Biologist

Rockville, MD

Contract

Onsite

Mid, Senior Level

$45/hr - $70/hr

0+ years exp

Joulé is a leading biotechnology organization focused on cancer therapeutics, seeking a Computational Biology Scientist in Antibody Engineering to support next-generation antibody discovery. This role involves developing computational methods for antibody engineering and collaborating with experimental scientists to translate insights into actionable design decisions.

Staffing & Recruiting

Growth Opportunities

No H1B

Responsibilities

Develop and apply computational methods to engineer monoclonal and bispecific antibodies (90% computational/10% bench work)

Integrate deep-learning and physics-based models for protein structure prediction and developability assessment

Analyze structural biology and NGS datasets to guide antibody library design and optimization

Build and maintain Python-based bioinformatics and machine learning workflows for data processing and modeling

Collaborate closely with experimental scientists to translate computational insights into actionable design decisions

Perform limited bench-based molecular biology work, including cloning and experimental support (up to 10%)

Qualification

Structural BiologyPython ProgrammingProtein ModelingNGS Data AnalysisAI/ML ApproachesCollaboration Skills

Required

Ph.D. in Structural Biology, Biochemistry, Biophysics, Protein Sciences, Computational Biology, Bioengineering, Machine Learning, Computer Science, or related field with 0–3 years postdoctoral experience

Master's degree with 5+ years of relevant industry experience

Strong background in structural biology, including peer-reviewed publications

Hands-on experience with protein modeling and structure prediction tools such as AlphaFold, RosettaFold, Schrödinger, MOE, or RFdiffusion

Advanced Python programming skills for data analysis, automation, and ML workflow integration

Experience with NGS data analysis and bioinformatics pipelines

Ability to work effectively in highly collaborative, interdisciplinary research teams

Must be legally authorized to work in the United States for any employer