Job Summary
The Senior Computational Biologist in AI and Omics plays a pivotal role in advancing our understanding of biological systems through the integration of artificial intelligence and omics data. This position involves utilizing cutting-edge computational techniques to analyze large datasets, facilitate discoveries in genomics, proteomics, and metabolomics, and contribute to innovative research projects that can impact life sciences significantly.
Responsibilities
- Develop and implement computational models to analyze omics data using AI techniques.
- Collaborate with interdisciplinary teams to integrate computational biology solutions into research.
- Utilize statistical methods and machine learning algorithms to drive insights from complex biological datasets.
- Design experiments that leverage omics technologies for improved data acquisition.
- Communicate findings effectively to both technical and non-technical stakeholders.
- Stay updated with the latest trends and advancements in computational biology and AI.
Qualifications
- Ph.D. in Computational Biology, Bioinformatics, or a related field.
- Extensive experience in applying AI methodologies to biological research.
- Strong programming skills in languages such as Python, R, or similar.
- Proficiency in statistical analysis and machine learning techniques.
- Experience with omics data analysis and familiarity with tools and databases relevant to genomics, proteomics, and metabolomics.
- Excellent problem-solving abilities and a strong analytical mindset.
STEMHUNTER provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
