See Below for a List of Current Open Positions in Computational Health Sciences
Opportunities at UCSF
ICHS Faculty Positions
Assistant or Associate Level Professor
The Institute for Computational Health Sciences (ICHS) at UCSF is looking to recruit faculty member(s) at the Assistant or Associate Professor level. ICHS prefers candidates who have a strong background in clinical informatics, machine learning, and/or network/mathematical modeling with an interest in health research; and to have demonstrated significant achievement or promise in their field. Candidates are required to hold a doctorate degree in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in informatics, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in informatics. A primary affiliation with ICHS will be provided, along with an academic appointment within a department closely allied with the applicant’s scholarly or clinical expertise. Candidates will be expected to teach and/or mentor graduate and medical students while developing extramurally-sponsored research programs.
ICHS Staff Positions
Team Leader, Research Computing Capability
This hands-on team leader is responsible for the development and deployment of UCSF’s Research Computing shared capability, which includes computing nodes, Very Large biomedical and health data (“Big Data”), shared and best-of-breed tools, metadata and catalog. The role includes data and tool management, curation, engineering and quality maintenance. This leader staffs and manages computational/informatics talent, as well outsourced agencies engaged on a per-project basis. The team’s scope is broad and may extend beyond the university. Given the exciting, emergent nature of Data Science in Medicine, flexibility and technical versatility is important to this role.
Center for Imaging of Neurodegenerative Diseases at the University of California, San Francisco (http://cind.ucsf.edu/) is looking for a highly qualified candidate in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis interested and possibly with some experience on Biomedical Data Analysis.
Primary tasks will be to analyze the spatiotemporal spread of pathology on the brain networks. The fellowship will take place in a rich institutional environment with many opportunities for further career development and collaboration. The Center for Imaging of Neurodegenerative Diseases supports aging and neurodegenerative diseases research by providing an interdisciplinary team of faculty mentors, educational opportunities related to neuroscience as well as medical imaging informatics, and a wealth of neuroimaging, clinical, cognitive, and biospecimen data for developing novel research projects.
The Fellows will analyze multimodality brain magnetic resonance imaging (MRI) and amyloid and tau positron emission tomography (PET) data from three different studies: 1) the Alzheimer’s Disease Neuroimaging Initiative (ADNI), a multi-site longitudinal study of aging and Alzheimer’s Disease, 2) two DOD funded grants studying effects of traumatic brain injury and post-traumatic stress disorder on Alzheimer’s disease in Vietnam Veterans with and without mild cognitive impairment (MCI) using ADNI, and 3) a longitudinal study to identify imaging biomarkers, which are predictors of, and altered by, psychotherapy treatment response for late life depression.
For this reason, previous multidisciplinary experience is an added value which will be properly considered.
- Completed Ph.D. in Computer Science, Biomedical Engineering, Applied Mathematics, or a related field, with neuroimaging data analysis as the primary topic of the dissertation.
- Knowledgeable within one or more of the following subjects: probabilistic graphical models, topic models and Bayesian non-parametric, relational learning, deep learning, RBMs, neural networks and auto-encoders, sparse and dictionary learning, kernel methods and manifold learning, graph-based learning and spectral analysis.
- Understanding of fundamental brain MRI data analysis problems, including registration, tissue segmentation, noise removal, etc.
- Experience using major MRI data analysis software such as FSL, SPM, FreeSurfer, BrainVisa, etc.
- Experience using major imaging statistics techniques on R or Matlab.
- Proven ability to clearly communicate novel research findings through oral presentation and written publication.
- Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or.
- Experience with diffusion-weighted MRI data analysis, including preprocessing, tensor estimation, tractography/connectome
- Experience with task-free functional MRI data analysis, including preprocessing and intrinsic functional connectivity (seed-based or component-based)
- Experience with PET brain scans
- Experience processing large-scale data sets: data management, scripting, etc.
The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, supervising PhD candidates and collaborate with scientists from different disciplines.
Salary will be commensurate to qualification and experience and in line with international standard.
Start date: As soon as possible.
Those with interest should send a CV to:
Department of Radiology and Biomedical Imaging
University of California, San Francisco
Post-doctoral Fellow Positions in Clinical Neuro-imaging Research & Analyses
Several postdoctoral research fellowship positions are available in the Surbeck Laboratory of Advanced Imaging in the Department of Radiology & Biomedical Imaging at the University of California, San Francisco. Fellows will participate in a multi-disciplinary research program that develops novel anatomical, physiological, and spectroscopic imaging and analysis techniques for brain cancer and other neurological diseases.
The fellow will work as part of a large team of clinical and research collaborators in the UCSF Brain Tumor Center and Memory and Aging Clinic as well as a group of graduate students, postdoctoral fellows, faculty and scientists in the Department of Radiology and Biomedical Imaging.
Primary research areas focus on the: 1) Evaluation of longitudinal efficacy of novel therapeutic strategies through multi-parametric MRI/MRSI/PET. 2) Investigation of the spatiotemporal spread of pathology on different brain regions, networks, and function 3) Processing and analysis of large imaging datasets as it relates to genomics, pathology and clinical outcome
Responsibilities: Although the responsibilities of the post-doctoral positions may vary and can involve all phases of human neuroimaging research, all applicants will be expected to utilize and extend state-of-the-art imaging and spectroscopic processing, statistical and data analytic tools to analyze multimodal imaging and spectroscopic data from 3T and 7T research scanners in clinical populations. Specifically, the main tasks will involve data collection, management and analysis, including image segmentation, spectral analysis, multi-parametric cohort analysis, and the translational application of the developed tools to study patients. The candidate will have an opportunity to contribute to ongoing basic and translational research projects and will be encouraged to explore and develop new ideas.
Requirements: Candidates should have a Ph.D. in Bioengineering, computer science, physics, statistics, applied mathematics, computational neuroscience or related fields. Previous experience in neuroimaging is desirable, but not required. Experience in computer programming (e.g. Python, shell scripting, C/C++) and image processing (e.g. custom routines, matlab, R, segmentation and network analysis software packages) is highly desired. Candidates should have a proven track record of publications in image processing or data analysis, and be highly motivated with excellent analytical and interpersonal skills. Strong written communication skills are required. Attention to detail, organizational capability, and the ability to handle multiple concurrent tasks are essential. The post-doctoral fellow is expected to be able to work independently as well as part of a team in a fast paced environment.
To apply: We invite interested, qualified, and highly motivated candidates to email a CV along with two references and a brief description of recent research interests and activities to: Janine Lupo, Ph.D., Assistant Professor, email@example.com
Opportunities outside of UCSF
Clinical Lead at PicnicHealth
PicnicHealth is a YC early-stage health tech startup based in the Mission, SF. We work directly with patients to collect, digitize, and manage their complete medical records, empowering them with control over their care through a personal health timeline. Beyond serving patients directly, we partner with biotech, genomics, and pharma companies who sponsor PicnicHealth accounts for research volunteers. We build complete outcomes data sets by leverage offshore operations and machine learning technology (recent Grand Prize win in Google Cloud’s Machine Learning Startup Competition).
This Clinical Lead role is for four months during our Medical Director’s maternity leave, but the ideal candidate would then transition into research lead/chief medical officer alongside our leadership team (Clinician preferred, PhD with health informatics background could be a good fit also)
https://team.picnichealth.com/jobs (Clinical Lead)
Personalis is hiring a Bioinformatics Scientist
Personalis, Inc., is a dynamic venture-backed company founded out of Stanford pioneering precision medicine by developing, cutting-edge NGS genomic solutions for immuno-oncology, cancer, and inherited disease. Based in Menlo Park, CA, Personalis’ patented ACE platform (Accuracy and Content Enhanced) provides an integrated, innovative, high accuracy technological solution from NGS sequencing to interpretation for precision medicine applications. The ACE Platform forms the technological basis for enabling Personalis’ leading products for immuno-oncology, cancer diagnostics, and inherited disease.
You will work with a world-class, dynamic team of bioinformatics scientists, software engineers, laboratory scientists, assay developers, product managers, and clinicians applying our cutting-edge cancer and immuno-oncology solutions to plan, manage, analyze, and interpret impactful collaborative R&D projects. You will be part of a team focused on development of the latest methods for analyzing genomics data, building analysis pipelines and algorithms, and validating tools for immuno-oncology, neoantigens, and cancer. Your work will contribute to a new generation of genomics based precision medicine products in immuno-oncology and cancer clinical trials, diagnostics, and therapeutics being used by pharma, biotech, hospitals and clinicians.
See here for details
VA Palo Alto Health Care System is hiring Data Analysts
We are seeking an experienced Data Analyst to join the Center for Innovation to Implementation (Ci2i) located at the VA Palo Alto Health Care System (VAPAHCS), Menlo Park Division. The candidate must be a U.S. citizen to be eligible for employment.
The Data Analyst will manage and construct datasets and databases and conduct statistical analyses in support of research projects and national health priorities. A typical dataset or database constructed for research can include hundreds of thousands of patients and dozens of variables.
See here for more information about the lab and principal investigator.
Please email the Program Manager, Cindie Slightam, with a CV and cover letter, and with any questions.
Candidate Requirements: U.S. citizen with a master’s or PhD (or equivalent) degree in the health sciences or allied sciences with the knowledge, skills, and abilities necessary to do the work of the position at a GS-11/12 grade level.
Medal is hiring Biomedical Data Scientists & Engineers
Medal makes it easy to share and search Electronic Health Records (EHR). Help doctors and their staff get off the fax machine and into the modern age at a fraction of the time and cost. Our work lies at the intersection of patient privacy and authorized secondary use of patient data. Medal is seeking biomedical data scientists and software engineers to analyze and search health records for quality reporting and clinical trials. Join the team and help bring US Healthcare into the modern age!
See open positions here
Numedii is hiring Computational Biologists & Software Engineers
NuMedii, Inc. is a venture-backed biomedical startup located in the San Francisco bay area that is translating life-sciences big data into effective new medicines for patients by combining big data, machine learning and systems biology. We seek a computational biologist to join our team to help us discover new drugs for unmet medical needs. This is an exciting opportunity to become an early employee of a unique company led by world-renowned expertise in computational science and translational medicine.
Guardant Health is actively recruiting for bioinformatics/data science/computational biology positions at all levels (entry to senior director).
Guardant Health was founded in 2012 by sequencing scientists and engineers from the Stanford Genome Technology Center and Illumina and has grown into the marketing leader in liquid biopsy with more than 80% of all clinical orders in the country with over 35,000 clinical samples processed to date. As an NGS-based company, Guardant is recruiting for both entry-level and experienced positions for algorithm development and experimental data analysis as well as for pipeline architecture and software engineering roles. Interested? Email Justin at firstname.lastname@example.org for more information.