Senior Data Analyst for Organ Transplantation Research

5 days ago


Woodland Hills, California, United States Terasaki Institute for Biomedical Innovation Full time
About the Role

We are seeking a highly skilled Senior Data Analyst to join our team at the Terasaki Institute for Biomedical Innovation.

Job Description:

As a Senior Data Analyst, you will play a crucial role in driving our research efforts in artificial intelligence, machine learning, computational biology, and organ transplantation.

Your key responsibilities will include developing and implementing advanced machine learning models and computational techniques to analyze large and complex datasets related to biological systems, organ transplantation, and immunological processes.

You will collaborate with cross-functional teams, including immunohistologists, clinicians, and domain experts, to identify research challenges in organ transplantation and cancer, and design appropriate analytical approaches.

You will leverage big data analytics techniques to extract insights from diverse data sources, including clinical patients, experimental, and genomic data.

You will develop and optimize algorithms and computational pipelines for data processing, feature engineering, model training, and model evaluation.

You will conduct in-depth exploratory data analysis, statistical modeling, and data visualization to uncover patterns, trends, and relationships within the data.

You will stay up-to-date with the latest advancements in AI machine learning, bioinformatics, and computational biology, and apply relevant techniques to drive research initiatives.

You will contribute to the preparation of research publications, presentations, and grant proposals by summarizing findings and communicating results effectively.

You will provide guidance and mentorship to junior group members, fostering a collaborative and innovative research environment.

About You

To be successful in this role, you will need a Bachelor or Master degree in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field.

You will have proven experience in applying machine learning techniques, such as deep learning, machine learning, or ensemble methods, to complex biological or medical datasets.

You will have a strong background in programming languages such as Python, R, or MATLAB, with proficiency in handling large datasets and utilizing relevant libraries and frameworks.

You will have familiarity with bioinformatics tools, databases, and techniques for analyzing and interpreting biological data.

A basic knowledge of immunology, organ transplantation, or related biological domains is highly desirable.

You will have good analytical, problem-solving, and critical thinking skills, with the ability to identify and address complex research challenges.

You will have strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams and convey technical concepts to diverse audiences.

What We Offer

We offer a dynamic and collaborative research environment, competitive compensation ($60,000 per year), and opportunities for professional growth and development.



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