Jobs Posted on the Whova Community Board of 2024 WNAR/IMS/Graybill Annual Meeting
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Postdoctoral researcher on causal inference for monitoring machine learning algorithms
UCSF After a machine learning (ML)-based system is deployed, monitoring its performance is important to ensure the safety and effectiveness of the algorithm over time. When an ML algor... ithm interacts with its environment, the algorithm can affect the data-generating mechanism and be a major source of bias when evaluating its standalone performance, an issue known as performativity. Although prior work has shown how to validate models in the presence of performativity using causal inference techniques, there has been little work on how to monitor models in the presence of performativity. The goal of this project is to bring together techniques from causal inference and statistical process control to develop a comprehensive framework for post-market monitoring of ML algorithms.
We are seeking a postdoctoral researcher to join our lab. The primary responsibilities are:
Develop new statistical methods/frameworks for post-market monitoring of ML algorithms Implement a software package that can be readily used by ML developers, health AI deployment teams, and ML auditors/regulators Write, edit, and publish research manuscripts in collaboration with the team
Our team is highly collaborative and includes members with wide-ranging expertise:
Jean Feng: PI of the lab. Primary advisor of postdoctoral researcher. Assistant Professor in the Department of Epidemiology and Biostatistics at UCSF. Fan Xia: Co-advisor of postdoctoral researcher. Assistant Professor in the Department of Epidemiology and Biostatistics at UCSF. Alexej Gossmann: Staff Fellow and mathematical statistician in the Division of Imaging, Diagnostics, and Software Reliability (CDRH/OSEL/DIDSR) at the FDA.
We are looking to hire a postdoctoral researcher to join the team. The position (100% funded) will be for two years. Salary and benefits are competitive.
For details on qualifications and application, please see the link.
Kaiser Permanente Division of Research The Division of Research (DOR) of The Permanente Medical Group, Inc. (Kaiser Permanente Northern California, KPNC) seeks to recruit a doctoral level biostatistician at the early o... r mid-career level (assistant or associate professor equivalent). This position is similar to a faculty position in an academic research institution. Responsibilities include collaboration on multidisciplinary research teams by providing expertise in study design and statistical methods, preparing proposals and manuscripts, and guiding master’s level analysts. The position also provides opportunities to lead independent statistical or applied research.
The candidate must have: (i) a Ph.D. in biostatistics, statistics, or a related field, (ii) demonstrated expertise in statistical methods, (iii) demonstrated history of successful collaboration and consultation, (iv) a track record of peer-reviewed scholarly publications, and (v) excellent oral and written skills. Candidates whose research interests complement the main research areas of the Division are particularly encouraged to apply.
KPNC includes >4.6 million members who are cared for by more than 9,500 physicians at 21 hospitals. The KPNC Division of Research, has more than 600 people on staff, including 67 faculty-level investigators with more than 460 ongoing, funded projects. In 2022, the Division's research portfolio included over $133 million in grants awarded by the NIH, other federal agencies, private foundations, industry, and Kaiser Permanente. Our investigators have made contributions in areas that include: health services research, disease prevention, chronic illness management, clinical trials, the role of genes and the environment in health, and informatics.
Professor of Biostatistics in causal inference and clinical trials
University of Copenhagen The University of Copenhagen seeks to appoint a professor of Biostatistics at the Department of Public Health to commence as soon as possible. When considering applications for th... e professorship, the main emphasis will be on the applicant's ability to document a high level of original scientific work at an international level within the areas of causal inference and clinical trials. This will include a track record of developing novel biostatistical tools (preferably including both analysis of mathematical properties as well as implementation aspects) as well as a track record of successful collaborations with researchers in other fields. See the link for more information.
Link:https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=161720&DepartmentId=19002&MediaId=4636See More >>
Postdoc in statistical genomics
Johns Hopkins University Overview: This position is funded through a R35 award from NIH (MIRA). There is substantial flexibility in what projects the postdoc may pursue. What follows is an incomplete list... of current projects in the Hansen lab; we are open to ideas from the candidate.
The epigenetic machinery and perturb-seq. We have a long-standing collaboration with the Bjornsson lab (University of Iceland, JHU) on the epigenetic machinery. Our work starts with the simple, but important, observations that loss-of-function mutations in genes encoding the epigenetic machinery show substantial phenotypic overlap. See Boukas et al (2019 Genome Res) for an overview. We are currently generating high-throughput epigenetic data including long-read sequencing with an epigenetic readout and Perturb-seq.
Spatial transcriptomics. Together with collaborators at the Lieber institute and the Department of Neoruscience we are generating and analyzing a number of spatial transcriptomics dataset including brain data from humans and exciting model organisms. We are particularly interested in methods for analyzing multiple samples simultaneously.
Long read epigenetics. Together with collaborators from JHU and elsewhere (Feinberg, Timp, Bjornsson) we are utilizing long-read sequencing with an epigenetic read-out. We are broadly interested in methods development in this space.
The postdoc will work in the lab of Dr. Kasper D. Hansen, Department of Biostatistics, Johns Hopkins University.
Stanford University The Quantitative Sciences Unit (QSU) is a group of collaborative biostatisticians and data scientists. The QSU is seeking highly motivated, hard-working and professional statistic... ians and data scientists to join their team. The successful candidate will join a vibrant team of academic statisticians working on a wide variety of collaborative projects in medicine. All positions hold excellent career development opportunities.
Link:https://careersearch.stanford.edu/jobs/search/14782232See More >>
