Data Science Health Innovation Fellow

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:,ActualValueFromSolar:null},{QuestionName:Job Summary,AnswerValue:JOB OVERVIEW\u003cbr/\u003eIn 2019, UC Berkeley, UCSF, Johnson \u0026 Johnson Innovation and Janssen Research \u0026 Development came together to establish the Data Science Health Innovation Fellowship Program, to bring together experienced data scientists with academic and industry researchers, to facilitate collaboration among scientists, engineers, clinicians, and entrepreneurs, to tackle complex problems in health and patient care and to accelerate innovation in healthcare through data-driven approaches.\u003cbr/\u003e\u003cbr/\u003eThis fellowship program offers a two-year research and entrepreneurial opportunity for seasoned data science professionals to apply computer science, data science, data engineering, and computational statistics research and development principles, along with relevant domain science knowledge, to complex problems and datasets, to advance understanding of health and improve patient care by providing meaningful clinical insights. The fellowship program will recruit serial cohorts of up to six outstanding data scientists per year from industry and academia. We are seeking applications from a wide range of backgrounds.\u003cbr/\u003e\u003cbr/\u003eThe Data Science Health Innovation Fellows will receive training, support, and guidance from domain science and medical experts, including a mentor from each of the three collaborating organizations. The primary responsibility of the Fellows is to successfully identify and conduct interdisciplinary data-intensive research related to healthcare and use computational and data science technology as a tool to accomplish the aims of the research. \u003cbr/\u003e\u003cbr/\u003eThe Fellows will spend the first six months of the fellowship program developing feasible, innovative, high-impact, data science, and health-related translational research projects based on their interests and expertise, the availability of suitable mentors, and the availability of data and other resources. At the end of this period, the Fellows will present to the fellowship program’s Joint Steering Committee (JSC) detailed research project proposals that will include a problem statement and a proposed approach that highlights the proposals’ innovation(s), feasibility, impact, required datasets and resources, potential pitfalls, and possible solutions. Upon approval by the JSC, Fellows, working with their academic and industry mentors, will then conduct the research projects they proposed. \u003cbr/\u003e\u003cbr/\u003eTo be considered for the Program, all applicants must submit an application through UCSF Jobs Website. All applicants are strongly encouraged to visit the fellowship program website (https://innovateforhealth.berkeley.edu/) for detailed description of the fellowship program and a list of requested supplemental application materials. All selected Fellows will be hired as a full-time (100%) employee of the University of California for two years, with a starting salary dependent on qualifications and comparable to industry standards nationwide ($117,000-$130,000). Fellows will be based both at the Berkeley Institute for Data Science (BIDS) at UC Berkeley and the Bakar Computational Health Sciences Institute (BCHSI) at UCSF. Fellows will travel to Johnson \u0026 Johnson sites as needed to further scientific collaboration, and will have limited support for conference travel. The program does not provide assistance with relocation, housing, or transportation. All applicants must be US permanent residents or citizens as we are currently unable to provide visa sponsorship or support. \u003cbr/\u003e\u003cbr/\u003e\u003cb\u003eNote: Six openings available. Full time two year contract starting form the date of hire. \u003cbr/\u003e\u003cbr/\u003ePlease submit both a resume or CV and a cover letter with your application. \u003cbr/\u003e\u003cbr/\u003ehttps://innovateforhealth.berkeley.edu/\u003cbr/\u003e\u003cbr/\u003e\u003c/b\u003e\u003cbr/\u003e\u003cbr/\u003eBCHSI:\u003cbr/\u003eThe Bakar Computational Health Sciences Institute (BCHSI) is a critical component of a global UCSF initiative in Precision Medicine, which seeks to aggregate and integrate vast, disparate datasets to advance understanding of biological processes, determine mechanisms of disease, and inform diagnosis and treatment of patients. Beginning with a base of excellent computational faculty dispersed among our four top-ranked professional schools (Dentistry, Medicine, Nursing and Pharmacy) and Graduate Division, superb research programs and outstanding Medical Center, BCHSI will establish a central convening center, hire additional faculty, and build programs for research and education. BCHSI will develop and enhance UCSF’s computational approaches and strategies in basic, translational, clinical and population-based biomedical research, working with partners in industry and academia where appropriate. It will be a campus hub for computer scientists and for researchers who employ computation as a primary tool in their biomedical research.\u003cbr/\u003e\u003cbr/\u003eBIDS:\u003cbr/\u003eBerkeley Institute for Data Science (BIDS) is Berkeley’s hub of data science research and education, bringing together broad constituents of our academic community, including domain experts from the life, social, and physical sciences and methodological experts from computer science, statistics, and applied mathematics. BIDS staff and affiliated faculty include world-class researchers who are leading the advancement of data science within their fields. BIDS also serve as the home for researchers participating in multiple data science fellowship programs. Across and beyond this community, we actively seek creative ways to foster research collaboration across disciplines, for example, through seminars and training programs. Additionally, BIDS is home to several founders and core developers of leading open source software projects that support data-driven discovery and reproducible research. In fact, over 20 million people worldwide use open source software developed at the BIDS for data-intensive research in health, the environment and other areas, including software for complex image and network analysis.\u003cbr/\u003e\u003cbr/\u003eUC BERKELEY:\u003cbr/\u003eThe University of California, Berkeley (UCB), is one of the world’s most iconic teaching and research institutions. Since 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world. Berkeley’s culture of openness, freedom and acceptance—academic and artistic, political and cultural—make it a very special place for students, faculty and staff.\u003cbr/\u003e\u003cbr/\u003eABOUT UCSF:\u003cbr/\u003eThe University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.\u003cbr/\u003e\u003cbr/\u003e *LI-NL1,VerityZone:jobdescription,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:Organization,AnswerValue:Campus,VerityZone:location,QuestionType:select,ActualValueFromSolar:null},{QuestionName:Req Number,AnswerValue:55338BR,VerityZone:autoreq,QuestionType:text,ActualValueFromSolar:null},{QuestionName:Location,AnswerValue:Mission Bay,VerityZone:formtext8,QuestionType:single-select,ActualValueFromSolar:null},{QuestionName:Job Title,AnswerValue:Data Science Health Innovation Fellow,VerityZone:formtext10,QuestionType:text,ActualValueFromSolar:null},{QuestionName:Appointment Type,AnswerValue:Contract,VerityZone:formtext12,QuestionType:radio,ActualValueFromSolar:null},{QuestionName:Percentage,AnswerValue:100%,VerityZone:formtext13,QuestionType:Text,ActualValueFromSolar:null},{QuestionName:Shift Length,AnswerValue:8 Hours ,VerityZone:formtext14,QuestionType:Radio,ActualValueFromSolar:null},{QuestionName:Shift,AnswerValue:Days,VerityZone:formtext15,QuestionType:Checkbox,ActualValueFromSolar:null},{QuestionName:Work Days,AnswerValue:Monday – Friday, 8:00 am – 5:00 pm,VerityZone:formtext16,QuestionType:Text,ActualValueFromSolar:null},{QuestionName:Required Qualifications,AnswerValue:• Bachelor\u0027s degree with seven years of experience in a technical discipline such as Computer Science, Engineering, Statistics, Physics, Math or other related fields\u003cbr\u003e• Entrepreneurial abilities: demonstrated skills in finding unmet needs, translating those into tractable solutions that can be implemented, and working with few specifically assigned resources\u003cbr\u003e• In depth skills and experience with independently resolving complex computing/data/CI problems using introductory and/or intermediate principles\u003cbr\u003e• Ability to curate/clean/organize large and messy datasets; to write code to query and transform both unstructured and structured data\u003cbr\u003e• Strong programming skills in scripting languages such as Python, Java/Scala, and SQL and comfort with advanced analytics tools such as R, Spark, and/or Tableau, in addition to in programming languages (e.g. C/C ). Strong working knowledge of Hadoop, extraction/transformation/loading (ETL). Record of prototyping, developing and scaling software\u003cbr\u003e• Fluent in using scientific computing environments, e.g. HPC cluster (CPUs and GPUs) or cloud (AWS, Azure, Google, Salesforce, IBM, or VMWare)\u003cbr\u003e• Highly advanced skills, and extensive experience associated with multiple of the following: data modeling; data mining; mathematical modeling; artificial intelligence; machine learning; deep learning models (e.g., 2/3d CNN, LSTM/GRU), architecture (e.g., Resnet, U-net), and frameworks (e.g.,Tensorflow, pytorch, keras); natural language processing; knowledge graphs; reinforcement learning; data representation, and optimization\u003cbr\u003e• Strong collaboration skills with highly technical researchers and ability to engage across a variety of methodological fields (e.g., computer science, mathematics, and statistics), computational platforms, and ideally, research domains (e.g., health sciences, life sciences, social sciences, and medicine)\u003cbr\u003e• Excellent and demonstrated ability to regularly, effectively communicate with management teams\u003cbr\u003e• Ability to communicate data insights that translate into significant impact in a clear and effective manner to technical and non-technical personnel at various levels in the organization and to external research and education audiences\u003cbr\u003e• Self-motivated and works independently and as part of a team,VerityZone:formtext3,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:Preferred Qualifications,AnswerValue:• Master\u0027s degree with six years of relevant experience or Doctoral degree with three years of relevant experience. Degree(s) should be in a technical discipline such as Computer Science, Engineering, Statistics, Physics, Math or other related fields\u003cbr\u003e• Prior experience with biomedical data\u003cbr\u003e• Experience working in health and biomedical sectors,VerityZone:formtext4,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:License/Certification,AnswerValue:n/a,VerityZone:formtext5,QuestionType:textarea,ActualValueFromSolar:null},{QuestionName:Position Type,AnswerValue:Full Time,VerityZone:formtext6,QuestionType:radio,ActualValueFromSolar:null},{QuestionName:Department Name,AnswerValue:Bakar Computational Health Sciences Institute,VerityZone:formtext17,QuestionType:text,ActualValueFromSolar:null},{QuestionName:Equal Employment Opportunity,AnswerValue:The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. 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UCSF Medical Center
Website : http://www.ucsfhealth.org