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.
Senior Backend Engineer
About The Position
We are seeking a highly skilled Engineer to join our innovative team focused on developing and optimizing next-generation engines.
In this role, you will be responsible for designing, enhancing, and scaling bioinformatics pipelines using state-of-the-art AI models to deliver high-quality mathematical models of human biology.
The ideal candidate will possess a strong background in backend and data engineering.
Responsibilities
- Lead the design of scalable and maintainable software architectures for AI systems and data pipelines.
- Take a major part in leading the designing, development, and optimization of high-scale pipelines and data infrastructure.
- Make critical technical decisions regarding tools, frameworks, and methodologies to be used in projects.
- Develop technical roadmaps and strategies to align with business objectives and drive technological advancements.
- Work closely with data scientists, machine learning engineers, bioinformatics developers, and product managers to integrate algorithms into end-to-end AI solutions and workflows.
- Provide guidance, mentorship, and training to junior developers, ensuring high code standards and execution excellence across the team.
Requirements
- Relevant education or experience in Computer Science, Machine Learning, Mathematics, Statistics, or a relevant experience
- 6+ years of experience as a software engineer, with at least 1-2 years in a leadership or senior technical role
- Proficiency in Python & R
- Knowledge of data processing frameworks such as pandas
- Proficiency in version control systems such as Git
- Experience with SQL and NoSQL databases
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model training and deployment
- Familiarity with containerization technologies like Docker and Kubernetes
- Understanding of computational methods for large-scale data
- Experience in the development of high-data and compute-intensive systems
- Demonstrated ability to optimize algorithms for scalability and performance in large-scale data environments
- Experience working in multidisciplinary teams with data scientists, software engineers, and product managers
- Strong communication skills to effectively convey complex technical concepts to both technical and non-technical audiences
- Excellent problem-solving and communication skills
Advantages
- Knowledge of data processing frameworks such as pandas
- Experience with SQL and NoSQL databases
- Familiarity with containerization technologies like Docker and Kubernetes.
- Understanding of computational methods for large-scale data.
- Experience with machine learning libraries and frameworks such as Pandas, Numpy, SciPy, TensorFlow, PyTorch, Keras, etc.
- Experience with R and R libs like dplyr, caret, xgboost, Bioconductor, etc
- Strong communication skills to effectively convey complex technical concepts to both technical and non-technical audiences.