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.
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!
UCSF Staff Positions
Data Scientist (Arnaout Lab)
The Arnaout laboratory at UCSF seeks a highly motivated data scientist to develop and implement deep-learning and related methods to revolutionize cardiovascular imaging. This position offers an opportunity to participate in cutting-edge research with transformational impact to clinical and research medicine across a wide array of diseases. We are seeking candidates with early-to-mid career skills and experience.
The successful candidate will:
- be proficient in mining and ‘cleaning’ data of several types (e.g. semi-structured text, images, vectors/matrices)
- be proficient in applying supervised and unsupervised machine learning and other computational techniques (including but not limited to neural networks, discriminant analysis, tree-based methods, boosting, random forests, and support vector machines, as well as [incremental] principal/independent component analysis, t-SNE, and data augmentation techniques) to imaging data
- be proficient in producing excellent data visualizations and analyses for machine learning results in (ideally) Python (e.g. matplotlib, seaborn) or d3.js, or R
- have strong interpersonal and communication skills
- work with patient data in a HIPPA-compliant and morally and ethically responsiblemanner
- work closely with an expert interdisciplinary team including both medical and data science professionals
- work independently to complete assigned responsibilities
- demonstrate strong organizational, record-keeping, and written and oralcommunication skills
- have the desire to help train others in new computational techniques and analyses
- have a strong motivation to apply pioneering breakthroughs to the practical, personalized everyday care of patientsRequirements:
• A Master’s, PhD, or similar degree in computer science or related field, or in medicine with demonstrated computer science background (e.g., MD with dedicated clinical informatics or data science fellowship training).
• Fluency with Python, Pandas, Keras, Tensorflow/Theano, and related programming languages, as well as data visualizations (ideally using d3.js, R, Matlab, pylab, seaborn, etc). Specific experience with computer vision projects, and with AWS/cloud computing is a plus.
Salary and benefits will be according to UCSF salary scales. In addition, the position provides the opportunity to publish and to present findings at research conferences for professional advancement.
More information about UCSF can be found at: https://www.ucsf.edu/about/
To apply: Please send a letter of interest and resume/curriculum vitae to Rima Arnaout, MD (firstname.lastname@example.org).
Applications will be accepted through November 30, 2017.
Programmer for Mathematical Model of Chronic Disease (Dept. of Epidemiology & Biostatistics)
The Cardiovascular Disease (CVD) Policy Model team is seeking a highly motivated candidate with advanced experience in computer programming to be the lead programmer responsible for enhancing and porting our existing CVD Policy model from Fortran to the R programming language. The CVD Policy Model is a computer-simulation state-transition (Markov) model of CVD incidence, prevalence, mortality, and costs in adults 35-94 years of age. The Model was first developed in the 1980s and has been extensively updated and upgraded over the past three decades.
The Programmer will work closely with the Model mathematician, project manager, and current Fortran programmer to translate our existing Model from Fortran into R, which will involve writing code, testing, and quality assurance checks for fidelity with our existing Model. While the initial focus will be reprogramming the Model, the individual will further help develop changes allowing for more refined handling of current Model features and will work with our collaborators who are developing R-based microsimulation models to allow for cross-talk with our state transition Model. In the near future, we will be expanding beyond cardiovascular diseases to study other chronic diseases across the lifecourse. As such, the Programmer will design and implement modular programming structures to allow for expansion into new avenues of study. In addition, the individual will identify and resolve program bugs, will establish systems for documenting progress and annotating code, will explore options for increased processing efficiency (e.g., parallel processing), and will develop plans along with our team’s statistician for smooth integration of model input data generated through statistical programs. The Department is flexible with regard to the percent of full time for this position, to be no lower than 60%.
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
UC Berkeley Faculty Position
Assistant Professor of Public Health Data Science and/or Health Information Technology
School of Public Health, University of California at Berkeley
The successful candidate will have a track record of research directly relevant to public health and/or health services, with potential for shaping the future of those fields. The specific methodological or applied areas of interest within public health data science and health information technology are not restricted. These may include (but are not restricted to) expertise in algorithms, big data analytics, clinical decision support, electronic health records, exposomics, genomics, health informatics, interoperability, machine learning, mHealth, networks, precision health and medicine, privacy, and related areas. The School of Public Health at UC Berkeley welcomes applicants with training in public health and/or relevant fields such as biostatistics, business, computational biology, computer science, data science, economics, health services research, information sciences, or statistics. The School of Public Health seeks candidates prepared to contribute to the school’s commitment to diversity
Deadline: Applications will be reviewed as they arrive and initial review will begin November 1, 2017; applicants are strongly encouraged to apply before this date. Applications will continue to be reviewed until December 1, 2017, when the application period closes. Applications received after that date will not be considered.
To apply, please go to the following link: https://aprecruit.berkeley.edu/apply/JPF01520.
Applicants must include a cover letter, curriculum vitae, one to three pieces of published or unpublished scholarship, statement of research, statement of teaching, a statement of past and/or potential contributions to diversity (throughresearch, teaching, and/or service), and three letters of reference. Please direct questions and nominations to Julie Niedermayr firstname.lastname@example.org, referencing job number JPF01520
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 email@example.com for more information.