Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases.
Recognized internationally for its pioneering work in bone-marrow transplantation, the Center's five scientific divisions collaborate to form a unique environment for conducting basic and applied science. The Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Children's, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!
About the Division:
The mission of the Vaccine and Infectious Diseases Division (VIDD) of the Fred Hutchinson Cancer Research Center is to eliminate or minimize the worldwide impact of globally significant infectious diseases. The Division shares the Center's values of scientific excellence, respect, openness, and innovation in the pursuit of its mission.
About the Department:
Biostatistics, Bioinformatics and Epidemiology (BBE) is a research program within VIDD. With the goal being to eliminate the mortality and morbidity of infectious diseases, members of the program conduct quantitative scientific research employing biostatistics, bioinformatics, computational biology, infectious disease epidemiology and mathematical modeling.
The Statistical Center for HIV/AIDS Research & Prevention (SCHARP) provides statistical collaboration to infectious disease researchers around the world and conducts a complementary program of statistical methodology, and mathematical modeling research. SCHARP also manages and analyzes data from clinical trials and epidemiological studies dedicated to the elimination of infectious disease as a threat to human health. SCHARP is housed within the BBE program of VIDD.
The Data Analytics Unit of SCHARP provides statistical analyses and statistical programming expertise to four networks:
The Collaboration for AIDS Vaccine Discovery (CAVD) is an international network of scientists and experts dedicated to designing a variety of novel HIV vaccine candidates and advancing the most promising candidates to clinical trials. In addition, the network also supports laboratory and clinical research related to emerging and re-emerging non-HIV infectious diseases, including polio, TB, and malaria (https://www.cavd.org/Pages/default.aspx ).
The Microbicides Trials Network (MTN) is a collaboration among researchers worldwide who conduct clinical trials using microbial preventions (http://www.mtnstopshiv.org/).
The HIV Vaccine Trials Network (HVTN) is an international collaboration of scientists and experts testing preventive vaccines against HIV/AIDS (http://www.hvtn.org/about/index.html).
The HIV Prevention Trials Network (HPTN) is a worldwide collaborative clinical trials network that develops and tests the safety and efficacy of primarily non-vaccine interventions designed to prevent the transmission of HIV (http://www.hptn.org/index.html).
SCHARP is seeking a statistical research associate to support statistical analysis research primarily within the CAVD network.
The Statistical Research Associate (SRA) provides statistical support to the CAVD network of laboratory and clinical teams under the direction of the lead statisticians. This support primarily involves analysis of biomarker data for completed preclinical, early phase, and post-marketing clinical studies, but can also encompass a variety of statistical requests. The SRA codes primarily in R and SAS. In addition to performing the analyses, the SRA communicates with the internal statistical team and external investigators regarding details of the data, analysis plan, and timelines. As part of a larger team of statisticians, programmers, and project managers, the SRA also contributes to an environment of mutual cooperation and respect. The SRA handles multiple projects and works efficiently in a fast-paced environment.
The SRA reports to the CAVD SRA Manager. Under limited technical direction, the SRA applies statistical and programming knowledge to various types of laboratory data and sometimes clinical data, resulting in production of a statistical report and analysis data for distribution. The SRA writes programs that are reproducible, well documented, and reusable for similar types of data. The incumbent works in close collaboration with statisticians and other programming staff within SCHARP. The SRA exercises judgment within defined SCHARP practices and policies.
Responsibilities may include some or all of the following:
- Provide statistical analysis, written summaries and tables of results of laboratory data for use in customized statistical lab reports under the direction of other statisticians
- Clearly communicate statistical concepts and issues to scientists and other non-statisticians
- Work individually or as part of a team to resolve statistical issues pertaining to the study
- Brainstorm and perform exploratory analyses with guidance from the lead statistician
- Prioritize and manage workload on multiple project requests within deadlines
- Assist in the development of quality control procedures for data analysis
- Generate standardized code for assay data processing that can be used across studies
- Mentor other statisticians or programmers
Master's degree in Statistics, Biostatistics, or equivalent required, with a minimum of one year of related experience strongly preferred. Proficiency in R or SAS programming required. Background in statistical analysis and with the development of statistical programs and software required. Strong oral and written communication and critical thinking skills are required. Must be flexible, work well within a team environment, and be capable of meeting tight deadlines. Must be organized and detail-oriented.
Experience with laboratory assay data or clinical trial data is preferred. Experience handling multiple projects under the direction of different people is preferred. Experience collaborating with others to determine what data is needed, what data exists, and how best to extract the data in a useful format is preferred. Experience with knitr, Sweave, SASweave, or LaTex a plus. Experience with supervision or mentoring is a plus.
We are a VEVRAA Federal Contractor.
If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=2269246-2647-7921