We are hiring for our client in the biotechnology services.
Duration: 5 months (extendable)
100% onsite
Responsibilities:
- Design and implement data collection strategies for mid to large-scale data analysis projects.
- Develop, validate, and verify data analysis tools in collaboration with development science, clinical affairs, and algorithm development teams.
- Automate reports and integrate tools into existing data pipelines for seamless operation.
- Analyze and transform data using advanced data science techniques to build impactful solutions.
- Collaborate with cross-functional teams to develop and validate algorithms and tools.
- Work in a fast-paced environment, developing custom data analysis tools to address domain-specific challenges.
- Ensure high-quality and regulatory-compliant development of data analysis tools.
Requirements:
Must-Have:
- Master's or Ph.D. in Statistics, Data Science, Computational Biology, Computer Science, Electrical or Computer Engineering, Microbiology, or related field.
- 5+ years of experience developing and validating large-scale data analysis tools.
- Proficiency in Python with at least 5 years of experience.
- Expertise in wrangling, analyzing, and visualizing biological growth data using libraries like seaborn, plotly, and matplotlib.
- Competence in signal processing, time series analysis, and statistical analysis.
Nice-to-Have:
- Background in life sciences, biopharma, or medical devices.
- Experience with R programming.
- Familiarity with design controls, including FDA 21 CFR 820 and ISO 13485.
- Experience with traditional machine learning (ML) and deep learning (DL) techniques.
- Proficiency with version control systems like Git/GitHub.