About the Role
The role involves leading cutting-edge research at the intersection of biology and computing, developing novel algorithms and models to interpret complex biological data, and collaborating with cross-functional teams to translate scientific insights into impactful technologies.
Responsibilities
- Lead research initiatives that integrate biological data with high-performance computing
- Develop machine learning models for analyzing genomic, proteomic, and cellular data
- Collaborate with software and systems engineers to optimize computational workflows
- Publish findings in peer-reviewed journals and present at scientific conferences
- Design experiments that leverage simulation and AI for biological discovery
- Work closely with domain experts to identify key challenges in life sciences
- Translate biological questions into computational frameworks
- Contribute to the development of scalable tools for biomedical research
- Stay current with advancements in computational biology and artificial intelligence
- Mentor junior researchers and contribute to team knowledge sharing
- Evaluate emerging datasets and technologies for research applicability
- Integrate multi-modal biological data into unified analytical pipelines
- Advance methods for modeling biological systems in silico
- Support the creation of proof-of-concept demonstrations for new ideas
- Engage in interdisciplinary discussions to refine research directions
- Ensure scientific rigor and reproducibility in all research outputs
- Collaborate on grant proposals and external research partnerships
- Identify opportunities where accelerated computing can transform biological research
- Guide the ethical use of biological data in computational models
- Contribute to strategic planning for long-term research goals
- Optimize algorithms for GPU-accelerated platforms
- Bridge gaps between theoretical biology and practical implementation
- Assess biological relevance of computational predictions
- Support the integration of wet-lab and dry-lab research efforts
- Drive innovation in digital representations of biological processes
Nice to Have
- Postdoctoral research experience in computational biology or related area
- Experience applying AI to biological or medical challenges
- Background in physics-based modeling of biological systems
- Contributions to open-source scientific software projects
- Industry research experience in biotechnology or computing
- Experience working with single-cell sequencing data
- Knowledge of structural biology or protein modeling
- Familiarity with digital twin concepts in biological systems
- Experience in interdisciplinary team leadership
- Patents or commercial applications of research work
- Collaborations with experimental biology labs
- Experience with real-time data processing systems
- Knowledge of regulatory aspects in biomedical research
- Involvement in large-scale international research consortia
- Experience deploying models in production environments
Compensation
Competitive salary and comprehensive benefits package including stock awards, health coverage, retirement plans, and wellness programs.
Work Arrangement
Hybrid work model with flexibility to accommodate research needs and team collaboration.
Team
Part of a dynamic research group focused on advancing the frontiers of AI and computing in life sciences.
Research Focus
The position emphasizes the development of AI-driven methods to model and simulate biological systems, with applications in drug discovery, personalized medicine, and synthetic biology.
Technology Environment
Researchers work with state-of-the-art GPU-accelerated platforms, large-scale datasets, and advanced AI frameworks to push the boundaries of digital biology.
Visa sponsorship is available for qualified candidates.
