Saliha Yilmaz
Director, Bioinformatics Leader | AI enabler
- Role
- Director, Data Science at Agios Pharmaceuticals
- Location
- Cambridge, MA, US
- LinkedIn followers
- 500 followers
About Saliha Yilmaz
At Agios Pharmaceuticals, my leadership in data science blends with a deep understanding of genetics and genomics, driving forward the integration of data-driven insights into groundbreaking medical treatments. Our team leverages advanced genomics and transcriptomics to unlock new pathways in precision medicine.With a robust background in human genetic, my role as Director fosters an environment where collaboration and innovation thrive. We harness high-throughput technologies to shape the future of healthcare, ensuring that our scientific discoveries are effectively communicated and translated into real-world applications.As an AI enabler, I am passionate about leveraging artificial intelligence to augment our research capabilities. By integrating AI-driven solutions into our processes, we accelerate the discovery of novel therapeutics and optimize our approaches to precision medicine.
Experience
Director, Data Science
Oct 2023 — Present · US
Education
Universite de Lorraine
Bachelor of Science (BS), life sciences (specialty in molecular biology)
1998 — 2002
Universite de Lorraine
Master's Degree, Molecular Biochemistry (specialty in microbiology/enzymology)
2002 — 2003
Universite de Lorraine
Doctor of Philosophy (Ph.D.), Genetics and Genomics
2003 — 2007
Skills
- Qpcr
- Pathway Analysis
- Molecular Biology
- Fluorescence Microscopy
- Cell Biology
- Laboratory
- Genetics
- Laboratory Skills
- Pcr
- Biochemistry
- Molecular Cloning
- Science
- Microscopy
- Microsoft Office
- Target Identification
- Project Management
- Confocal Microscopy
- Western Blotting
- Molecular Diagnostics
- Large-Scale Data Analysis
- Real-Time Polymerase Chain Reaction (Qpcr)
- Multi-Disciplinary Teams
- Cancer Genomics
- Immunology
- Cell Culture
- Bioinformatics
- Biomarker Discovery
- Research
- R
- Polymerase Chain Reaction (Pcr)
- Cytogenetics
- In Vivo
- Molecular Genetics
- Online Databases
- Data Analysis
- Hplc
- Life Sciences
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