Principal Data Scientist with Cell Painting or Micro Electrode Array Background

Are you a talented Data Scientist with a passion for advancing drug discovery in the field of biotechnology? My client is seeking an exceptional candidate with expertise in handling datasets from biological drug discovery assays, including Imaging (high content screening), cell painting, or micro electrode array (MEA) based biological measurement platforms.

They are transforming the landscape of drug discovery and improving human health. We leverage cutting-edge technologies and data-driven approaches to accelerate the identification and optimization of potential therapeutic compounds. As a part of our team, you will work alongside brilliant minds in a collaborative and dynamic environment, where your contributions will directly impact our mission. As a Data Scientist specializing in biological drug discovery assays, you will play a crucial role in analyzing and interpreting complex datasets to uncover valuable insights. Your expertise in working with Imaging (high content screening), cell painting, or micro electrode array (MEA) based biological measurement platforms will be instrumental in extracting meaningful information from these assays. You will collaborate closely with interdisciplinary teams, including biologists, chemists, and software engineers, to drive data analysis strategies and contribute to the optimization of drug discovery pipelines.

Responsibilities:

• Utilize your expertise in handling datasets from Imaging (high content screening), cell painting, or micro electrode array (MEA) based biological measurement platforms.
• Develop and implement advanced algorithms and statistical models to extract insights from complex biological datasets.
• Collaborate with cross-functional teams to understand project requirements and design appropriate data analysis strategies.
• Perform data preprocessing, normalization, and quality control to ensure accuracy and reliability of results.
• Apply machine learning and data mining techniques to identify patterns, trends, and relationships in large-scale datasets.
• Present findings and recommendations to stakeholders, including scientists, project leaders, and management, in a clear and concise manner.
• Stay updated with the latest advancements in data science and drug discovery technologies, and proactively apply them to improve our analytical approaches.

Desired Skills and Qualifications:

• Master's or Ph.D. degree in Data Science, Bioinformatics, Computational Biology, or a related field.
• Proven experience working with datasets from biological drug discovery assays, such as Imaging (high content screening), cell painting, or micro electrode array (MEA) based biological measurement platforms.
• Proficiency in programming languages commonly used in data science, such as Python, R, or MATLAB.
• Strong understanding of statistical analysis, machine learning, and data mining techniques.