Data Analyst/Statistician I - Los Angeles, CA | Biospace
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Data Analyst/Statistician I

USC Center for Applied Molecular Medicine

Location:
Los Angeles, CA
Posted Date:
12/2/2016
Position Type:
Full time
Job Code:
1006719
Salary:
$50,000- $85,000
Required Education:
Masters Degree
Areas of Expertise Desired:

Job Description

The Center for Applied Molecular Medicine (CAMM) at the Lawrence J. Ellison Institute for Transformative Medicine of the University of Southern California is looking for a Data Analyst/Database Analyst II and for a Biostatistician/Statistician II to complement its Data Management and Analytics team. At CAMM, you will join an interdisciplinary team dedicated to support the institute’s mission of transforming cancer treatment by providing cutting-edge solutions for the analysis of biomedical data.

You will directly cooperate with the Institute investigators and outside partners on a variety of projects, tackling among the most significant challenges facing human health. Besides building and running a modern computational infrastructure, members of the Data Management and Analytics group collaborate in highly interdisciplinary teams throughout a project’s lifecycle: from the initial design phase to the study publication, data release and subsequent monitoring of the outcomes.

Thanks to a generous gift from Lawrence J. Ellison, we are going to substantially expand both in size and in the scope of our activities in the near future. This makes it a uniquely exciting time to join our team to make a significant impact on the life and well-being of millions of people.
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Environment and background
The Ellison Institute aims to provide exceptional clinical care and to engender transformative changes in the management of cancer to significantly impact human health and well-being, and quantity and quality of life. The Ellison Institute’s research focuses on the application of proteomics (the study of the body’s proteins) and genomics, mathematical modeling, integrating clinical trials, pre-clinical studies and molecularly targeted therapy, which focuses on molecular and cellular changes specific to cancer. The Ellison Institute uses all of these techniques to determine which cancer therapies are likely to work best for individual patients, allowing physicians to customize treatment for each patient’s cancer. Within the Institute, the Center for Applied Molecular Medicine (CAMM) is improving cancer outcomes by discovering optimal approaches to personalized therapy. Our vision is that a patient’s own metrics will determine their most effective treatment. They might include molecular tumor markers, the dynamics of intracellular processes, or the behavior of cells across diverse microenvironments. We investigate a broad range of biological systems, including cell culture, mouse models, and patient-derived tissues.

The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the Trojan Family, which is comprised of the faculty, students and staff that make the university what it is.

Requirements

******Position responsibilities******
We are seeking an experienced data analyst with a strong interest in cancer biology to complement its Data Management and Analytics team. This role involves close collaboration with a multi-disciplinary team of clinicians, computer scientists, mathematicians, statisticians, and economists to understand their experiments, data, and project goals with the objective of developing and implementing robust and effective data management and analytics solutions. Data sets may include high-dimensional multi-omic data, time series from live cell microscopy, and complex clinical data from electronic medical records. The ability to communicate successfully with biologists and clinicians on their own terms is essential. Contributions will also be made to current and future development of grant applications, scientific research and scientific manuscripts for CAMM.

******Specific responsibilities:******
•   Support the lab researchers in the collection, processing and analysis of experimental, clinical and simulated biomedical data to ensure that it is properly stored both for investigation and for longer-term preservation; explore and set up appropriate storage resources and ensure that appropriate metadata are employed.
•   Implement and maintain a robust an Institute-wide biomedical data management infrastructure; coordinate with partners and collaborators to assist data exchange and federation.
•   Participate in the analysis of data, especially with regard to the more practical aspects as cleaning, aggregation and integration (wrangling).
•   Help develop and run data processing pipelines.

******Qualifications******
Demonstrable Personal Attributes:
•   Ability to thrive in a fast-paced, multi-disciplinary environment.
•   Strong organizational skills.
•   Attention to detail.
•   Interest in technological advances and solutions.

******Knowledge and Skills:******
•   Ability to input, output, and manipulate data using the R statistical analysis platform, including familiarity with the tidyverse ecosystem and the rmarkdown package. Sample code required.
•   Working knowledge of relational databases and other storage solutions and resources (e.g. NoSQL databases, HDF5, …).
•   Understanding of metadata and ontology usages and reproducible research concepts and practices.
•   Experience with Linux shell scripting, command line tools and administrative tasks.
•   Facility with Microsoft Excel, Word, and PowerPoint.
•   Familiarity with software development processes and tools a plus.
•   Good writing and verbal communication abilities

******Education and Experience:******
•   Bachelor’s degree in computer science, computational biology, engineering, information sciences or a related discipline. Master’s degree preferred.
•   Two or more years’ experience in biomedical data collection, transformation, management, and warehousing.