Statistician I
Statistician I
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$ 85379 - 90000
1 Vacancy
Job Description
The Emamaullee Transplant Immunology Lab in the Department of Surgery at the University of Southern California is looking for a Statistician I to join our team. You will join an interdisciplinary team dedicated to transforming our understanding of transplant immunology and clinical outcomes by providing cuttingedge solutions for the analysis of biomedical data.
You will work directly with Dr Emamaullees team and outside partners on a variety of projects tackling among the most significant challenges facing human health. Our projects are diverse and highly translational using large national datasets computational biology techniques including single cell transcriptomics and machine learning regression modelling of disease. Members of our research group collaborate in highly interdisciplinary teams throughout a projects lifecycle: from the initial design phase to the study publication data release and subsequent monitoring of the outcomes. This is a uniquely exciting time to join our team to make a significant impact on the life and wellbeing of organ transplant recipients including both adults and children.
Environment and background
The Emamaullee Lab has received support from the National Cancer Institute National Cancer Institute Childrens Hospital Los Angeles the American Society of Transplantation and the Childrens Heart Foundation. Our research focuses on the application of single cell multiomics mathematical modeling integrating clinical trials preclinical studies and molecularly targeted therapy which focuses on molecular and cellular changes specific to transplant rejection.
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 worldclass 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.
Position responsibilities
We are seeking a talented statistician/data scientist with a strong interest in human biology and expertise in the statistical analysis of biological data. The candidate will interact frequently with lab members and clinicians to understand their experiments data and project goals. The ability to communicate effectively with biologists and clinicians on their own terms is essential. The successful applicant will be capable of designing experiments providing compelling data visualizations and applying appropriate statistical analyses of experimental data. Data sets may include highdimensional multiomic data and complex clinical data from electronic medical records. Contributions will also be made to current and future development of grant applications scientific research and scientific manuscripts for the group.
Qualifications
Demonstrable Personal Attributes:
- Ability to collaborate closely with others from various disciplines.
- High level of attentiveness to detail.
- Willingness to learn new approaches and technologies.
Knowledge and Skills
- Excellent ability to communicate with life scientists and to develop clear design documents and plans.
- Must have proficiency in:
- R and Python coding
- Machine Learning techniques
- Power calculations
- Parametric and nonparametric tests
- Linear general linear and mixedeffects models
- Outlier detection
- Statistical theory
- Extensive handson expertise with the R data analysis platform including the tidy verse ecosystem (especially ggplot2 and the markdown package.
- Familiarity with Big Data approaches and technologies.
- Knowledge of reproducible research concepts and practices.
- Ability to effectively present statistical concepts and research results to a scientific audience.
Education and Experience:
Masters or PhD in statistics biostatistics quantitative sciences (physics or applied mathematics) or engineering (electrical engineering computer science industrial engineering).
Three or more years experience in handson statistical data analysis ideally in the life sciences
The annual base salary range for this position is $85379.61 $90000. When extending an offer of employment the University of Southern California considers factors such as (but no limited to) the scope and responsibilities of the position the candidates work experience education/training key skills internal peer equity federal state and local laws contractual stipulations grant funding as well as external market and organizational considerations
USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
Minimum Education: Masters degreeMinimum Experience: 2 years
Minimum Field of Expertise: Statistics econometrics and/or biostatistics experience. Experience with relevant data analysis programs (e.g. R Python SAS SPSS)
Preferred Experience: 3 years
Preferred Field of Expertise: Biometry Biostatistics or Statistics; mainframe and PC experience; experience with SAS Epilog BMDP GLIM or SPSS and programming languages such as FORTRAN C.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone ator by email at. Inquiries will be treated as confidential to the extent permitted by law.
- Notice of Nondiscrimination
- Employment Equity
- Read USCs Clery Act Annual Security Report
- USC is a smokefree environment
- Digital Accessibility
If you are a current USC employee please apply to thisUSC job posting in Workday by copying and pasting this link into your browser:
Employment Type
Full-Time
Key Skills
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