See Below for a List of Current Open Positions in Computational Health Sciences
Opportunities at UCSF
Assistant Professor, Computational Text Analysis
The Institute for Computational Health Sciences (ICHS) at UCSF is looking to recruit a computational text analysis faculty member at the Assistant Professor level. ICHS is seeking faculty candidates with a strong background in natural language processing (NLP) who have an interest in clinical informatics, machine learning, and/or network/mathematical modeling as applied to health research. Candidates are required to hold a doctorate in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in advanced analysis of text-based information and NLP, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in NLP as well as having demonstrated significant achievement or promise in their field. 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. The appointee will be expected to build collaborations with faculty across campus in efforts to advance the field of text analysis/NLP at the University, to develop and deliver text analysis/NLP curricula to a wide campus audience including students, staff, and trainees, and to mentor graduate and medical students while developing extramurally-sponsored research programs.
Accepting applications: Dec 21, 2017 – June 21, 2019
Next review date: May 21, 2018
Clinical Informatics Position in the Division of Hospital Medicine
The UCSF Division of Hospital Medicine is seeking faculty with background and skills in applied informatics for our core Clinician-Educator positions. This position will combine academic work in clinical informatics along with clinical time as a hospitalist at UCSF. The exact allocation of clinical versus academic time will be determined based on the candidate’s training, accomplishments, and academic goals. Completion of a fellowship in clinical informatics (or its equivalent) will be viewed favorably, but is not required.
Accepting applications: February 2, 2018 – August 2, 2019
Bioinformatics Faculty, Assistant or Associate Professor, Neurology/Broad Center
The Department of Neurology at UCSF is looking to recruit a faculty member at the Assistant or Associate Professor level. We are looking for faculty candidates with a strong background in bioinformatics, machine learning, and/or an interest in single cell genomics, and to have demonstrated significant achievement or promise in their field. An interest in neuroscience and/or cancer biology would be preferred, and bench space can be provided to support a wet lab program if needed. Candidates are required to hold a doctorate in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in informatics. A primary affiliation with the Department of Neurology will be provided, along with co-appointments in the Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research and the Institute for Computational Health Sciences. Candidates will be expected to teach and/or mentor graduate and medical students while developing extramurally-sponsored research programs.
Accepting applications: June 6, 2017 – Dec 6, 2018
Clinical Informatics Position in the Division of Hospital Medicine
The UCSF DHM is seeking faculty with background and skills in applied informatics for our core Clinician-Educator positions. Competitive candidates will be graduates of excellent internal medicine programs with strong clinical references and who have a demonstrated track record of operational or academic achievement in clinical informatics. Ideal applicants should be proficient in a data science capable language, such as R, Python or Stata, and be willing to learn or already be proficient in SQL.
Accepting applications: Feb 2, 2018 – Aug 2, 2019
Next review date: June 2, 2018
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.
Accepting applications Jan 3, 2017 – July 3, 2018
Next review date: July 3, 2018
Assistant, Associate, or Full Professor
The Department of Epidemiology and Biostatistics at UCSF invites applications for full-time faculty positions at any rank in the In Residence faculty series.
The successful candidates will conduct epidemiologic, population-based, and/or clinical research funded by extramural sources and be committed to regular and ongoing teaching. There are also opportunities for leadership within the department.
Qualifications: Doctorate in medicine, epidemiology, biostatistics, public health or a closely related field. Candidates must have a record of excellence and accomplishment in original research in population-based or clinical epidemiology and extramural funding for research in areas of interest. They must also have excellent teaching qualifications and have played leadership roles in clinical and or epidemiologic settings. Preference will be given to candidates with areas of research compatible with current departmental programs including modern epidemiologic methods.
Accepting applications March 23, 2018 – September 23, 2019
Next review date: April 22, 2018
Bioinformatics Programmer (I/II)
The Bioinformatics Programmers will be required to utilize the elasticity of the AWS Cloud for Big Data Intensive (e.g. Hadoop/Spark) compute infrastructure and parallel system environment. They will assist in creating pipelines and configurations on a Linux-based distributed file system for Very Large health data, premise-hosted as well as public cloud based. Such data will be clinical, phenotypic and population level data of several categories, structured, semi-structured and unstructured data. Non-structured data includes text, images, and “messy” alphanumeric data. Strong AWS and Linux system administration skills will be needed to build scalable general-purpose computational and inferential software tools to work with the data. The Bioinformatics Programmers will also evaluate third party tools, especially for Natural Language Processing (NLP), text mining and information retrieval, for adaptation into and use in our system, under guidance from the Bioinformatics manager.
Clinical Applications Programmer
Helen Diller Family Comprehensive Cancer Center
The Clinical Applications Programmer will entail storing, organizing, and manipulating molecular oncology data and matching clinical data. The Clinical Applications Programmer will organize molecular data in a local cancer genomics portal. They will design and implement a local database for storing clinical data. They will organize the movement of existing data from multiple formats and locations into the previously mentioned tool, as well as creating automatic systems for movement of newly acquired data into these same tools. This position will include interactions with other programmers and oncologists.
Research Data Analyst
The Research Data Analyst will join a collaborative and exciting team of researchers at the F.I. Proctor Foundation studying infectious/inflammatory eye diseases in the U.S. and internationally. Researchers at the F.I. Proctor Foundation conduct clinical trials and large epidemiological studies on ocular inflammatory diseases which can cause blindness. The epidemiological studies involve large administrative databases such as OptumLabs (United Healthcare and Medicare) and multicenter clinical trials that involve domestic and international collaboration.
The individual will be asked to contribute to study design from a methodological standpoint, take responsibility for database creation, data management, programming, statistical analyses, and help to write grants and manuscripts.
Health Policy Research Analyst Internship
Project Title: Media Framing of Obesity: A Novel Computational Method for Policy Research
Project Description: Interested in applying computer science to research on media, health policy, and the obesity epidemic? Dr. Rita Hamad at the UCSF Institute for Health Policy Studies is studying the way that the U.S. media portrays obesity and its causes, and how this influences health policy. The project uses machine learning techniques to conduct automated text analysis of media articles. We will compare trends in media discourse around obesity across all 50 states during a 10-year time period, and then examine how this discourse affects the passage of food policies. This position is available immediately for part-time work throughout the year. This is an unpaid position, but the research analyst will have the opportunity to be an author on published papers that result from this work
Work will be conducted from the research assistant’s own computer to access Newsbank’s Linux server. The research analyst will take part in the following activities:
* Analyze data using an R package that implements the content analysis algorithm
* Help to troubleshoot and parallelize code to analyze structured and unstructured Newsbank data
* Gain experience in cutting edge health research using novel statistical tools
* Meet on a weekly basis in-person or by telephone / Skype with involved faculty
* Expertise with parallelizing code to analyze structured and unstructured data
* Fluency in the statistical program R
* Excellent organizational and communication skills
If interested, please email your resume and a cover letter to Dr. Rita Hamad with specific descriptions of prior programming experience.
At ICHS we are always looking for eager students and investigators to join us for part-time internships working on specific projects. We typically look for people with a background in computer science, data/information science, and/or a degree in biomedical sciences. If interested, send us your CV!
Post-Doctoral Fellow Positions at the UCSF Center for Clinical Informatics and Improvement Research (CLIIR)
Overview The newly established Center for Clinical Informatics and Improvement Research (CLIIR) at the University of California San Francisco (UCSF) was created out of a critical need to understand how to use digital tools to improve healthcare quality and value. CLIIR’s mission is to discover ways: (1) to leverage EHRs and other sources of digital data to improve clinical performance and healthcare value, and (2) to scale these results to promote healthcare transformation.
CLIIR is led by Julia Adler-Milstein, PhD, Director of the Center for Clinical Informatics and Improvement Research and Associate Professor at the UCSF Department of Medicine.
CLIIR is recruiting Post-Doctoral Fellows in the field of applied clinical and consumer informatics with interests in health services research and health policy. Post-Doctoral Fellows will be involved in research involving both primary and secondary data collection and analysis.
CLIIR has a specific focus on using clinical and event/audit log data derived from UCSF Health’s EHR to conduct novel research examining both how healthcare is delivered and how informatics tools shape such delivery. The Fellow will use his or her domains of research inquiry along with their quantitative skills, statistical methods and software tools to develop and execute research studies under the mentorship of Dr. Adler-Milstein and other UCSF faculty. The Fellow will be supported by RAs, analysts, and project managers who are part of CLIIR.
The Fellow will be encouraged to take advantage of other training and learning opportunities within the Institute for Computational Health Sciences, Center for Digital Health Innovation, and other related entities at UCSF. We hope that this experience will prepare the applicant for an independent research career in applied health informatics.
- PhD in Health Informatics, Information Science, Computer Science, Health Services Research, or a related discipline.
- Strong programming skills, preferably SQL.
- Strong statistical programming skills in one or more programs (e.g. R, SAS, Stata)
- Database and large dataset experience.
- Good interpersonal and communication skills and a demonstrated commitment to working collaboratively with clinicians and biomedical researchers.
- Ability to work independently.
- Experience with Pattern Recognition, Machine Learning, and/or Natural Language Processing
- Leadership qualities
- Epic Clarity certified and/or experience working with Clarity
- Familiarity with federal health IT policies (e.g., Meaningful Use, MACRA)
How to Apply
Please email Anjali Garg at firstname.lastname@example.org with your:
- Cover Letter including description of research interests and career goals
- Contact Information for 3 References
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
Postdoctoral Fellow – Melanoma genomics
There is an open position for a postdoctoral fellow to work in the laboratory of Dr. Hunter Shain within the Department of Dermatology at the University of California San Francisco.
The candidate will utilize –omic approaches, such as DNA-sequencing, RNA-sequencing, and single-cell sequencing to better understand the biology of melanoma. Please contact Hunter Shain for more specific details on the types of projects currently ongoing in the laboratory.
The most important criterion we are seeking is a strong record of scientific achievement, as evidenced, for example, by high-quality publications, presentations, and letters of recommendation.
To be considered, please submit a cover letter and CV to Hunter Shain at Alan.Shain@ucsf.edu.
Candidates must have a Ph.D., M.D., or equivalent advanced degree
Opportunities outside of UCSF
Assistant Professor, Harvard Medical School Department of Biomedical Informatics
Livongo Health seeking Data Scientists and Health Economists
Livongo Health is a fast-growing digital health start-up that is reinventing the way chronic conditions are managed. We’re starting with diabetes because of the massive opportunity to improve the lives of millions. Based in Mountain View, CA, Livongo is backed by top-tier venture capital firms including General Catalyst, Kleiner Perkins Caufield Byers, and DFJ.
Clinical Research and Analytics at Livongo: The mission of the Livongo Clinical Research & Analytics team is to use data analytics and machine learning to improve the care for our members with chronic conditions and demonstrate outcomes to our clients, partners and the academic community
FLX Bio seeking a Computational Biology Scientist
FLX Bio is a biotech startup focussed on developing novel small-molecule immuno-oncology drugs. We recently completed Series C funding of $60 million dollars (http://www.flxbio.com/flx-bio-completes-60-million-series-c-financing/).