Only the job description changed.
| Previous Job Description | Current Job Description | ||||
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| n | 1 | Job Description: | n | 1 | JOB SUMMARY |
| 2 | JOB SUMMARY The Division of HIV, Infectious Diseases and Global Medicine at Zuckerberg San Francisco | ||||
| > | General Hospital (ZSFG) is an internationally recognized global leader in HIV clinical care, resear | ||||
| > | ch and education and has grown to encompass a network of specialty clinics, multiple research and cl | ||||
| > | inical trials, an infectious diseases/HIV education program, an international research program in Ea | ||||
| > | st Africa and a vibrant community forum for clinicians and researchers. Dr. Lee’s research group (ht | ||||
| > | tps://sulggileelab.ucsf.edu/), housed within the division, focuses on clinical and translational res | ||||
| > | earch, and in particular, observational cohort and clinical trial studies that focus on infectious d | ||||
| > | iseases, such as HIV and SARS-CoV-2. The Bioinformatics Programmer 3 will work closely with the Prin | ||||
| > | cipal Investigator and Study Investigators in running the computational aspects of Dr. Lee’s researc | ||||
| > | h group. They will have the unique opportunity to work directly with project directors and research | ||||
| > | collaborators to help design and implement data analysis methods to analyze a wide range of multidis | ||||
| > | ciplinary projects. These include host genomewide (e.g., whole genome sequencing, GWAS microarray), | ||||
| > | single cell sequencing (e.g., 10X scRNA/VDJ/ATAC/antibody), pathogen-specific assays (e.g., HIV rese | ||||
| > | rvoir quantification by droplet digital PCR methods, HIV-host integration PCR assays) and applying a | ||||
| > | dvanced statistical modeling approaches to these data (e.g., linear and nonlienar mixed effects mode | ||||
| > | ling, causal inference modeling). The incumbent will lead and help design complex analyses applying | ||||
| > | novel computational methods and managing the research group’s server space (e.g., UCSF Wynton HPC cl | ||||
| > | uster), assist in overseeing and mentoring trainees (e.g., postdoctoral fellows, graduate students), | ||||
| > | and be a major part of bringing the analysis projects to completion. The candidate should have a st | ||||
| > | rong background in mathematics, biostatistics, statistical genetics, and bioinformatics. They should | ||||
| > | have strong interpersonal and communication skills to be able to interact with an interdisciplinary | ||||
| > | collaborators (clinical and laboratory-based). The candate should use skills as a seasoned, experie | ||||
| > | nced bioinformatics programming professional with a broad understanding of computational algorithms | ||||
| > | and systems; identifies and resolves a wide range of issues / software bugs. They should also demons | ||||
| > | trate good judgment in selecting methods and techniques for obtaining solutions and operates indepen | ||||
| > | dently as a leader and team member. ABOUT DIVISION OF HIV, INFECTIOUS DISEASES AND GLOBAL MEDICINE T | ||||
| > | he Division of HIV, Infectious Diseases and Global Medicine at the University of California, San Fra | ||||
| > | ncisco (UCSF) is an internationally recognized global leader in clinical care, research, and educati | ||||
| > | on. With its home-base located at Zuckerberg San Francisco General Hospital and Trauma Center (ZSFG) | ||||
| > | , the Division has been ranked as the top facility in the country for AIDS care since 1983. The Divi | ||||
| > | sion’s work is featured frequently in the media, and it is often visited by numerous international, | ||||
| > | national, state, and local dignitaries and delegations. The Division consists of approximately 38 fa | ||||
| > | culty members, 14 fellows/postdoctoral scholars and 170 academic and staff employees. It is the larg | ||||
| > | est Division of the Department of Medicine (DOM) at ZSFG, with a total expenditure budget of approxi | ||||
| > | mately $52 million dollars. | ||||
| 3 | 2 | ||||
| t | 4 | Qualifications: | t | 3 | The Division of HIV, Infectious Diseases and Global Medicine at Zuckerberg San Francisco General Ho |
| > | spital (ZSFG) is an internationally recognized global leader in HIV clinical care, research and educ | ||||
| > | ation and has grown to encompass a network of specialty clinics, multiple research and clinical tria | ||||
| > | ls, an infectious diseases/HIV education program, an international research program in East Africa a | ||||
| > | nd a vibrant community forum for clinicians and researchers. | ||||
| 5 | Required Qualifications: - Thorough knowledge of bioinformatics methods, applications programming, w | 4 | |||
| > | eb development and data structures. - Advanced knowledge of HPC / data science / CI - Advanced skill | ||||
| > | s, and 2-3 years demonstrated experience in the area of bioinformatics, computer science, mathematic | ||||
| > | s, bioinformatics, computational biology, physics, and/or statistical genetics, and associated with | ||||
| > | one or more of the following: HPC hardware and software power and performance analysis and research, | ||||
| > | design, modification, Implementation and deployment of HPC or data science or CI applications and t | ||||
| > | ools. - Thorough knowledge of bioinformatics programming design, modification and implementation. - | ||||
| > | Understanding of relational databases, web interfaces, and operating systems. - Strong project manag | ||||
| > | ement skills. Proven ability to successfully work on multiple concurrent projects. - Communication s | ||||
| > | kills to work with both technical and non-technical personnel in multiple fields of expertise and at | ||||
| > | various levels in the organization. - Ability to communicate technical information in a clear and c | ||||
| > | oncise manner. - Demononstrated ability to interface with management on a regular basis. - Self moti | ||||
| > | vated, and able to work independently or as part of a team. Able to learn quickly and effciently, ab | ||||
| > | le to meet deadlines and complete projects in a timely manner, and prioritize multiple projects to e | ||||
| > | nsure the completion of essential tasks by deadlines and demonstrate problem solving skills. - Stron | ||||
| > | g demonstrated ability to deliver high quality work with attention to detail and the ability to meet | ||||
| > | strict deadlines - Thorough knowledge of web, application and data security concepts and methods. - | ||||
| > | Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC perfor | ||||
| > | mance and power modeling, analyzing hardware, software, and applications for HPC / data / CI - Exper | ||||
| > | tise in working with genomic, transcriptomic, and/or immunologic (flow cytometry) data and relevant | ||||
| > | analytic tools (e.g., PLINK, SKAT, R Seurat package, FlowJo) - Experience in advanced single cell se | ||||
| > | quencing and genomewide association data analyses - 3 or more years of directly relevant programming | ||||
| > | experience - Demonstrated experience and ability to collaborate effectively with all levels of staf | ||||
| > | f; technical, students, faculty and administrators - Solid technical understanding and proficiency w | ||||
| > | ith programming languages (e.g., R, Python, Perl, Matlab, C/C++) and SQL - Ease with handling large | ||||
| > | datasets (e.g., >1 terabyte) and working within Linux-based cloud computing clusters. Preferred Qual | ||||
| > | ifications: - PhD degree in Bioinformatics/ Systems Biology/ Math/ Statistics/ Computer / Computatio | ||||
| > | nal / Data Science, or Domain Sciences with computer / computational / data specialization or equiva | ||||
| > | lent experience. Strong preference for those with experience in advanced single cell sequencing and | ||||
| > | genomewide association data analyses – especially in the area of translational infectious diseases r | ||||
| > | esearch. - Thorough knowledge of modern biology and applicable field of research. - Prior laboratory | ||||
| > | -based experience and/or training in the areas of biology, immunology, or genetics and experience co | ||||
| > | nducting research involving molecular biology, immunology, and genetic sequencing techniques – espec | ||||
| > | ially related to HIV translational research. - Humanitarian-minded - Previous experience working wit | ||||
| > | h clinical datasets, especially related to HIV, COVID-19, and other infectious diseases - Demonstrat | ||||
| > | ed ability to contribute research and technical content to grant proposals and manuscript submission | ||||
| > | s Education, Licenses and Certifications: - Bachelor's degree in biological science, computational / | ||||
| > | programming, or related area and / or equivalent experience / training. - Master’s degree in Bioinf | ||||
| > | ormatics/ Systems Biology/ Math/ Statistics/ Computer / Computational / Data Science, or Domain Scie | ||||
| > | nces with computer / computational / data specialization or equivalent experience. - 3 or more years | ||||
| > | of directly relevant programming experience | ||||
| 5 | Dr. Lee’s research group (https://sulggileelab.ucsf.edu/), housed within the division, focuses on c | ||||
| > | linical and translational research, and in particular, observational cohort and clinical trial studi | ||||
| > | es that focus on infectious diseases, such as HIV and SARS-CoV-2. The Bioinformatics Programmer 3 wi | ||||
| > | ll work closely with the Principal Investigator and Study Investigators in running the computational | ||||
| > | aspects of Dr. Lee’s research group. They will have the unique opportunity to work directly with pr | ||||
| > | oject directors and research collaborators to help design and implement data analysis methods to ana | ||||
| > | lyze a wide range of multidisciplinary projects. These include host genomewide (e.g., whole genome s | ||||
| > | equencing, GWAS microarray), single cell sequencing (e.g., 10X scRNA/VDJ/ATAC/antibody), pathogen-sp | ||||
| > | ecific assays (e.g., HIV reservoir quantification by droplet digital PCR methods, HIV-host integrati | ||||
| > | on PCR assays) and applying advanced statistical modeling approaches to these data (e.g., linear and | ||||
| > | nonlienar mixed effects modeling, causal inference modeling). The incumbent will lead and help desi | ||||
| > | gn complex analyses applying novel computational methods and managing the research group’s server sp | ||||
| > | ace (e.g., UCSF Wynton HPC cluster), assist in overseeing and mentoring trainees (e.g., postdoctoral | ||||
| > | fellows, graduate students), and be a major part of bringing the analysis projects to completion. | ||||
| 6 | |||||
| 7 | The candidate should have a strong background in mathematics, biostatistics, statistical genetics, | ||||
| > | and bioinformatics. They should have strong interpersonal and communication skills to be able to int | ||||
| > | eract with an interdisciplinary collaborators (clinical and laboratory-based). The candate should us | ||||
| > | e skills as a seasoned, experienced bioinformatics programming professional with a broad understandi | ||||
| > | ng of computational algorithms and systems; identifies and resolves a wide range of issues / softwar | ||||
| > | e bugs. They should also demonstrate good judgment in selecting methods and techniques for obtaining | ||||
| > | solutions and operates independently as a leader and team member. | ||||
| 8 | |||||
| 9 | ABOUT DIVISION OF HIV, INFECTIOUS DISEASES AND GLOBAL MEDICINE | ||||
| 10 | |||||
| 11 | The Division of HIV, Infectious Diseases and Global Medicine at the University of California, San F | ||||
| > | rancisco (UCSF) is an internationally recognized global leader in clinical care, research, and educa | ||||
| > | tion. With its home-base located at Zuckerberg San Francisco General Hospital and Trauma Center (ZSF | ||||
| > | G), the Division has been ranked as the top facility in the country for AIDS care since 1983. The Di | ||||
| > | vision’s work is featured frequently in the media, and it is often visited by numerous international | ||||
| > | , national, state, and local dignitaries and delegations. The Division consists of approximately 38 | ||||
| > | faculty members, 14 fellows/postdoctoral scholars and 170 academic and staff employees. It is the la | ||||
| > | rgest Division of the Department of Medicine (DOM) at ZSFG, with a total expenditure budget of appro | ||||
| > | ximately $52 million dollars. | ||||