become a cyto
Make mom proud
become a cyto
Make mom proud
Careers
“You can never understand one language until you understand at least two”
- Geoffrey Willans
It’s a common problem in drug development. Biologists and bioinformaticians don’t understand each other.
We tackle this from day 1 at CytoReason. Our biologists, bioinformaticians, data scientists and engineers sit together in the same room and work on the same projects towards the same goal. After a while they start speaking the same language, complementing each other’s work, and building something big together.
As a Cyto you’ll work with a multidisciplinary on the industry’s most burning questions. Along the way, you’ll help the world’s top pharma companies make groundbreaking discoveries and bring novel therapies to the patients who most need them.
Data Scientist
About The Position
We are seeking an innovative Data Scientist with a strong background in deep learning to join our multidisciplinary team of bioinformaticians, biologists, statisticians, and machine learning engineers.
In this role, you will lead efforts to develop cutting-edge algorithms and tools that unlock insights from complex biological and clinical datasets, contributing to advancements in understanding disease mechanisms and improving healthcare outcomes.
This role combines a focus on research, algorithm development, and real-world applications to address challenges across a wide range of diseases.
Responsibilities
- Develop and implement deep learning algorithms to analyze high-dimensional molecular and clinical datasets.
- Collaborate with biologists and bioinformaticians to uncover insights into disease mechanisms and progression.
- Drive innovation by exploring data-driven approaches to solve diverse challenges across various diseases.
- Contribute to building predictive models and tools that support evidence-based decision-making in biomedical research.
- Lead or contribute to the integration of deep learning techniques into the team’s analytical pipeline.
Requirements
- Ph.D. or Master’s degree in Computer Science, Data Science, Computational Biology, Bioinformatics, or a related field.
- 3+ years of experience applying deep learning to real-world problems, preferably in life sciences or healthcare.
- Proven experience in deep learning algorithms and techniques
- Strong programming skills in Python and R: Python: Pandas, Numpy, SciPy, PyTorch, etc; R: dplyr, caret, xgboost, Bioconductor, etc
- Experience working with biological or clinical datasets is a plus.
- Experience in model development, validation, and deployment.
- Experience with version control systems (Git)
- Ability to work effectively in a multidisciplinary setting, communicating and collaborating with biology, statistics, and ML engineering experts.
- Passion for leveraging data science to advance our understanding of human health and disease.
- Excellent problem-solving and communication skills.
- Team player and ability to work in a multi-disciplinary work environment.