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
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%.
ATOM Post-doctoral Fellowship
Frederick National Laboratory for Cancer Research, on behalf of the National Cancer Institute, is pleased to announce a postdoctoral fellowship opportunity based in the newly launched Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium. The ATOM Fellowship is a unique program targeted to members of the UCSF research community with a background in biomedical or computational disciplines interested in cross-disciplinary training and collaboration.
The ATOM Fellowship Program application and FAQ document can be found here.
Note: If you do not meet the Green Card/Citizenship requirements, but are interested in applying please notify the application contacts personally (see application) to discuss if there are options.
Applications are due Monday, December 11, 2017
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, firstname.lastname@example.org
Opportunities outside of UCSF
Two tenured Digital Health Professorships at Hasso Plattner Institute, Universität Postdam, Berlin, Germany
The Digital Engineering Faculty at the University of Potsdam hereby announces two joint professorships with the Hasso Plattner Institute (HPI) under the Jülich model to be lled immediately:
Full Professorship (W 3) in Digital Health with Special Emphasis on Big Data and
Full Professorship (W 3) in Digital Health with
Special Emphasis on Connected Healthcare
These two professors will establish the English-language master’s degree program in “Digital Health” at the newly founded Digital Health Center in the Faculty of Digital Engineering. They will be responsible for developing a center of excellence in the eld of digital health with a clear pro le and high visibility in research and teaching on an international scale.
The professorship focusing on multimodal Big Data will explore and develop new testing, diagnostic, prognostic, and healing methods for medicine and healthcare using large-scale data comparisons with approaches based on arti cial intelligence and Deep Learning. Prerequisites for the position are indepth experience and outstanding achievements in data analytics, machine learning, and predictive modeling in the eld of health research.
The professorship focusing on Connected Healthcare will explore and utilize the possibilities of digital transformation in all sectors of healthcare, including chronic healthcare coordination and home monitoring. Extensive expertise in healthcare systems, epidemiological analyses, and healthcare research data are prerequi- sites for the position.
Interdisciplinary collaboration with key stakeholders, scholarly networking and close cooperation with cognate disciplines of the Faculty, particularly in digital health, is expected. In addition, the post holders shall independently organize re- search projects, forge new alliances, and create national and international networks. The implementation of joint projects with industry and society is also expected.
The joint appointees are obligated to a teaching load of at least 8 weekly lecture hours per semester within the Faculty of Digital Engineering at the University of Potsdam. The following application requirements for professors must be doc- umented in accordance with Section 41 of the Brandenburg Higher Education Act (Brandenburgisches Hochschulgesetz, BbgHG): a completed university degree, pedagogical aptitude, and a special ability for scienti c work, as is typically docu- mented by a dissertation project; comprehensive competences in science manage- ment and additional scholarly achievements as evidenced by a Habilitation (post-doctoral dissertation), a junior professorship or work as a research associate at an institution of higher education or an extramural research institution, or scholarly activity in the private sector, or in a similar social eld, whether in Germany or abroad. The appointment procedure is conducted in accordance with Section 40 of the Brandenburg Higher Education Act.
The University strives for a balanced gender ratio at all levels. Severely disabled applicants will be given preferential consideration in the event of equal quali cation. We expressly invite applications from people with migration backgrounds.
The University of Potsdam supports newly appointed professors with its Dual Career Service and coaching support: www.uni-potsdam.de/berufungen.html
Please submit your application and relevant documentation (presentation of your research interests, CV, copies of academic certi cates and credentials, list of publications, list of courses taught, list of projects funded externally) via email (in a single PDF le) to email@example.com no later than December 14th, 2017. For professional questions please contact Prof. Dr. Erwin Böttinge
GSK / ATOM Postdoctoral Positions
Four separate opportunities are listed below for working as a postdoctoral position at GSK operating within the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium. These positions will be located with ATOM at 499 Illinois in Mission Bay, San Francisco.
Postdoctoral Researcher in Pathway, Cell and Tumor Modeling – ATOM Consortium : link
Postdoctoral Researcher in Quantitative Pharmacology – ATOM Consortium : link
Post Doctoral Researcher in Computational Chemistry & Drug Discovery – ATOM Consortium : link
Postdoctoral Researcher in Computational ADME/Tox – ATOM Consortium : link
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.