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.