Middle Data Scientist
Binariks is looking for a highly motivated Middle Data Scientist with a biological background to analyze experimental data from cell-based pharmaceutical research. The candidate will work with medium-sized datasets from high-content microscopy, performing statistical analysis including clustering, correlation analysis, and variance control.
The client is a UK-based biotech company specializing in drug discovery for neurodegenerative diseases, particularly Alzheimer's disease. Utilizing innovative human stem cell models, they focus on rapid target identification and validation to develop disease-modifying treatments. The company collaborates with various pharmaceutical firms. It offers access to its proprietary induced pluripotent stem cell (iPSC) platform for research and development partnerships.
What We’re Looking For:
The client is a UK-based biotech company specializing in drug discovery for neurodegenerative diseases, particularly Alzheimer's disease. Utilizing innovative human stem cell models, they focus on rapid target identification and validation to develop disease-modifying treatments. The company collaborates with various pharmaceutical firms. It offers access to its proprietary induced pluripotent stem cell (iPSC) platform for research and development partnerships.
What We’re Looking For:
- 3+ years of experience as a Data Scientist
- Statistical analysis experience (correlation, clustering, Anova)
- Proficiency in R programming
- Ability to analyze multi-parametric data (5-10 parameters)
- Experience creating data visualizations for scientific reports
- Excellent problem-solving skills and attention to detail
- Upper-Intermediate English for daily communication
Your Responsibilities:
- Using R (with ggplot) and GraphPad Prism to process CSV data
- Creating visualizations, and generating reports for project leaders
- Effective communication of data analysis process, observations, and findings
Will be a plus:
- Experience with biological data
- Experience with Python
Your Benefits
18 days of paid annual leave
10 sick leaves
Additional days off for special occasions
Medical Care
Health check-up
English Class
Play Room
IT Cluster membership
Business Trip
Tech Talks
Training & Conferences
Certification
Accounting
Corporate currency
Work From Anywhere
18 days of paid annual leave
10 sick leaves
Additional days off for special occasions
Medical Care