See Below for a List of Current Open Positions in Computational Health Sciences
Opportunities at UCSF
Assistant, Associate, Full Professor
VA Imaging Scientist
The Department of Radiology and Biomedical Imaging at the University of California San Francisco is expanding the breadth and depth of the existing research program based at the VA Medical Center in San Francisco. In support of this expansion the Department is opening a search for several faculty positions for Imaging Scientists who will work closely with clinical faculty to develop powerful new capabilities in translational imaging. Each position will have partial hard money support from the VA Medical Center. The selected candidates will be appointed at the level of Assistant, Associate, or Full Professor in the In-Residence or Adjunct series depending on qualifications and interests.
Candidates with expertise in vascular imaging, musculoskeletal imaging, or big data as it relates to imaging studies, will be given special consideration. However, given the breadth of expansion, candidates who excel in other in vivo imaging areas will also be considered. The successful applicants will be expected to build a research program of excellence, to contribute to the functioning of the academic medical center, and to engage in teaching.
The position requires a PhD degree in Electrical and Computer Engineering, Biomedical Engineering, Physics or Related Field, and with post graduate or postdoctoral training and research experience in medical imaging since obtaining their PhD, preferably at least two years combined.
Accepting applications: May 1, 2018 – Nov 1, 2019
Next review date: Feb, 2019
Assistant, Associate, Full Professor
Computational Basic Sciences
The UCSF Bakar Computational Health Sciences Institute (BCHSI) and the Gladstone Institutes are looking to recruit faculty at the Assistant, Associate, or Full Professor level. Candidates must have a strong background in bioinformatics, machine learning, biological networks, and/or mathematical modeling with an interest in biomedical research; they also will have demonstrated significant achievement or promise in their field. Candidates are required to hold a doctorate degree in bioinformatics, computer science, biostatistics, or a related discipline with demonstrated experience/expertise in data science, and/or a medical degree with demonstrated experience/training in data science. A primary affiliation with BCHSI and/or Gladstone Institutes will be provided, along with an academic appointment within the UCSF Department of Epidemiology & Biostatistics or another department closely allied with the applicant’s scholarly expertise. Candidates will be expected to develop extramurally-sponsored research programs and will have opportunities to teach and/or mentor graduate and medical students.
Accepting applications: Oct 15, 2018 – April 10, 2020
Next review date: March, 2019
Assistant, Associate, Full Professor
Computational Clinical/Translational Sciences
The Bakar Computational Health Sciences Institute (BCHSI) at UCSF is looking to recruit faculty at the Assistant, Associate, or Full Professor level. BCHSI 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, data science, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in informatics or data science. A primary affiliation with BCHSI will be provided, along with an academic appointment within the UCSF Department of Epidemiology & Biostatistics or another 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: Oct 15, 2018 – April 10, 2020
Next review date: March, 2019
Assistant Professor, Computational Text Analysis
The Bakar Computational Health Sciences Institute (BCHSI) 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 BCHSI 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: March, 2019
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
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
Data Scientist & Project Manager Positions
Arnaout Lab at UCSF
The Arnaout laboratory studies deep learning and other computational methods for biomedical imaging and related clinical data, with the goals of decreasing diagnostic error and developing and scaling novel phenotypes to drive precision medicine. UCSF is a top-10 medical center and a leader in cross-campus efforts to mine, harmonize, and analyze multi-modal clinical data for the University of California’s 15 million patients. The Arnaout laboratory is part of both the Bakar Computational Health Sciences Institute and the nationally ranked Department of Medicine. Projects focus on deep learning for medical imaging, and through collaborative work with intra- and inter-institutional partners, also involve the electronic health record, genetics, and other data types.
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.
Computational and Data Science Research Specialist
The Data Science Specialist applies skills as a seasoned, experienced Information Technology (IT) research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future HPC, data, and CI technologies, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.
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.
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
Opportunities outside of UCSF
UC Berkeley Asst Prof in Computational & Metabolic Biology
2019 AbbVie Summer Graduate Internship
This summer AbbVie’s Experiential Internship Program will offer multiple internship opportunities in the Health Economics and Outcomes Research (HEOR) department. AbbVie is a global, research-driven biopharmaceutical company committed to developing innovative advanced therapies for complex and critical conditions in the many areas including immunology, oncology, virology, neuroscience, endocrinology and women’s health. AbbVie’s HEOR division generates innovative, high-impact evidence to help define the unmet need and value of innovative therapies to relevant stakeholders. AbbVie’s HEOR also leads Centers of Excellence focused on real-world evidence and patient-centered outcomes.
The 10-12 week paid internship for graduate students and will be located at AbbVie’s global headquarters in North Chicago. Housing and relocation support will be provided for eligible students. Please find attached the description of the internship. Please share as appropriate and let us know if any of your graduate level candidates would be interested or if you have any questions. Interested students should also apply online using this link.
Manifest MedEx fellowship
The Manifest MedEx fellowship program is a competitive leadership development opportunity for recent graduates who are interested in new business models, data, quality improvement and innovation in healthcare. The program is open to new graduates with a relevant Master’s degrees (e.g., data science, public health, public policy, business etc) or a Bachelor’s degree and 1-2 years of relevant work experience. MX offers competitive salary and benefits. Manifest MedEx—a nonprofit health network— is helping California health leaders reach their goals of improving outcomes and reducing costs. We’re unlocking information from its silos so California’s doctors, hospitals and health plans can put it to work to improve healthcare.
D2G Oncology is hiring
D2G Oncology is a precision oncology startup company located in Mountain View, California. We are seeking highly motivated, energetic, and creative individuals to join our team.
Cancer genome sequencing efforts have uncovered the spectrum of genomic alterations that occur in human cancers, and clinical cancer genotyping provides a stepping-stone toward personalized therapy. However, a future in which clinicians can provide the most effective therapies requires the knowledge of which drugs will work best for which patients. Thus, predicting how a tumor genotype will affect therapeutic response is an imperative goal within oncology. D2G Oncology’s innovative, scalable, and quantitative approaches will relate drugs to genotypes to transform precision cancer therapeutics.
1. Computational biologist/data scientist. You will have a Ph.D. in a quantitative field (not necessarily biology). Experience with next- generation sequencing analysis, human genomic data analysis, and/or statistical modeling. Experience with python, R, AWS, and/or mySQL is a plus. You will work on exciting and diverse projects while collaborating with diverse groups of people, managing large-scale computational projects, and working with external collaborations. You will have the opportunity to participate in all aspects of research and development within the company, and work in close collaboration with the computational and experimental teams. Position will be commensurate with experience and will have the potential for upward growth.
2. Molecular biologist/Cancer biologist. You will have a Ph.D. in biology or related discipline and have expertise in molecular biology. Experience with cancer biology, pharmacogenomics, and/or in vivo cancer models is a plus. You will work on exciting and diverse projects while collaborating with diverse groups of people, managing large-scale experimental projects, and working with external collaborations. You will have the opportunity to participate in all aspects of research and development within the company, and work in close collaboration with the computational and experimental teams. Position will be commensurate with experience and will have the potential for upward growth.
Does this sound interesting? To learn more, please send your CV to info@D2G-oncology.com