<h3>Research Data Scientist</h3><p><b>Department:</b> Ophthalmology</p><p><b>Employment Type:</b> Full Time</p><p><b>Job Code:</b> 81464BR</p><p><b>Job Summary:</b></p><p>The research data analyst will join the Department of Ophthalmology and work closely with a collaborative and exciting team at the F.I. Proctor Foundation studying eye diseases in the U.S. and internationally. Researchers at the F.I. Proctor Foundation conduct randomized controlled trials and large epidemiological studies on ocular diseases that can cause blindness, and is widely regarded as the preeminent center for eye-related research in the world. The epidemiological studies involve large-scale, population-based research of electronic health records databases with millions of observations ("Big Data"), and the trials involve domestic and international collaboration. This position requires a team member with excellent technical programming skills along with communication and organizational skills. The analyst will support research studies by: contributing to research study design (including clinical trials), study monitoring, database creation, data collection and retrieval, data management, primary statistical analysis of a complex nature, and assistance with grant writing and publications. The position requires a team member that is comfortable with self-directed work and can work in a diverse team environment. The successful candidate will have experience conducting statistical analyses of large datasets. Experience with large electronic health records databases and tools for working on big data projects in remote, cloud computing environments is a plus. The employee should show a strong interest in clinical research and a desire to contribute to the state of knowledge on the prevention, treatment, and correlates of disease.</p><p><b>Salary Range:</b> $67,000 - $94,200 (Annual Rate)</p><p><b>Department Description:</b></p><p>Ophthalmology became established as a department separate from Otolaryngology in 1912 at the University of California San Francisco. Since that time the Department of Ophthalmology has grown steadily and today includes the clinical facilities of three major hospitals. The Department of Ophthalmology is organized around faculty members with subspecialty skills and expertise. The department combines one of the nation's leading vision research programs with outstanding clinical care. The research and multicenter clinical facilities of the Department of Ophthalmology comprise the Beckman Vision Center.</p><p><b>Required Qualifications:</b></p><ul><li>BA/BS with a major in a related field of quantitative science (e.g. data science, statistics, public health, epidemiology) and one+ years experience in project management or clinical research, or an equivalent combination of education and experience.</li><li>Demonstrated proficiency with statistical software languages (R).</li><li>Strong verbal and written communication skills.</li><li>Knowledge of various study designs.</li><li>Knowledge of database creation and management.</li><li>Experience and ability to work and interact positively with people from diverse backgrounds.</li><li>Highly organized and able to multitask in a fast-paced environment.</li><li>Independence, planning, and problem-solving abilities to complete assigned duties.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Graduate degree in data science, epidemiology, biostatistics, statistics, public health or related field and two to three years of relevant experience or an equivalent combination of education and experience.</li><li>Experience working with large administrative or electronic health record datasets.</li><li>Experience with SQL.</li><li>Experience with Python.</li><li>Familiarity with reproducible and transparent research methods and tools.</li><li>Experience in writing, editing, and reviewing scientific manuscripts.</li><li>Experience in clinical research or demonstrated research or training experience that translates into a clinical research setting.</li></ul><p><b>About UCSF:</b></p><p>The 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. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.</p><p><b>Pride Values:</b></p><p>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care.</p><p><b>Equal Employment Opportunity:</b></p><p>The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.</p><p><b>Job Location:</b> San Francisco, CA</p><p><b>Work Style:</b> Fully On-Site</p><p><b>Shift:</b> Days, 8 Hours, M-F, 8am-5pm</p>
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<div><br><span><br><font>Data Scientist</font><br></span><br></div><div><br><p>MED-CORE-RHEU</p><br></div><div><br><p>Full Time</p><br></div><div><br><p>81445BR</p><br></div><div><br><p>Job Summary</p><br><p>The Ye lab at Department of Medicine, Rheumatology and Institute for Human Genetics at UCSF is seeking a highly motived advanced data scientist with backgrounds in bioinformatics, computational biology, computer science, or other related areas. The individual will have a unique opportunity to lead the development of cloud-based analysis pipelines on AWS environment for highliy complex single-cell genomics projects at populational scale. The incumbent will work closely with an interdisciplinary team of computational biologists, geneticists, immunologists, and computer scientists to characterize the natural variability in immune response and map the genetic and environmental drivers of that diversity.<br><br>Under the supervision of principal investigator, the qualified candidate will be responsible for developing data analysis pipelines, maintaining and implementing computational methods to AWS platform, and bringing together diverse multiparameter high-throughput genomic datasets to enable deep data integration and knowledge discovery including but not limited to single-cell transcriptomics (scRNA-seq and single nuclei RNA-seq), immune repertoire sequencing (TCR and BCR), proteomics (scCITE-seq), epigenomics (scATAC-seq), and spatial sequencing at the level of 106 cells and above.<br></p><p>The final salary and offer components are subject to additional approvals based on UC policy.</p><p>Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.</p><p>To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</p><br></div><div><br><p>Department Description</p><br><p>DIVISION OF RHEUMATOLOGY / DEPARTMENT OF MEDICINE<br>The UCSF Division of Rheumatology is dedicated to delivering outstanding patient care in the diagnosis and treatment of rheumatic diseases in a premier academic environment.<br></p><br></div><div><br><p>Required Qualifications</p><br><ul><li>Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience</li><li>Advanced knowledge of HPC / data science / CI</li><li>Five or more years of relevant experience</li><li>Highly advanced skills, and demonstrated experience 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 tools of large-scale scope</li><li>Demonstrated ability to regularly, effectively communicate with unit-level management</li><li>Demonstrated ability to initiate research proposals and acquire funding</li><li>Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences</li><li>In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles</li><li>Self-motivated and works independently and as part of a team</li><li>Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base</li><li>In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills</li><li>In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs</li><li>Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI</li><li>At least 24 months of experiences with NGS analysis pipelines (e.g. alignment, variant calling and genome annotation)</li><li>At least 24 months of experiences analyzing and managing large-scale single-cell complex datasets including but limited to scRNA-seq, scATAC-seq, and scCITE-seq</li><li>Strong knowledge of statistical methods including Cox models, logistic regression, linear regression, and elastic net regression. Strong knowledge of parametric and non-parametric statistics</li></ul><br></div><div><br><p>Preferred Qualifications</p><br><ul><li>Doctor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization</li><li>Knowledge of genomics and immunology</li><li>Experience with machine learning techniques, such as random forest models, support vector machines and deep learning</li></ul><br></div><div><br><p>About UCSF</p><br><p>The 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. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.</p><br></div><div><br><p>Pride Values</p><br><p>UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.<br><br>In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu<br><br>Join us to find a rewarding career contributing to improving healthcare worldwide.</p><br></div><div><br><p>Equal Employment Opportunity</p><br><p>The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.</p><br></div><div><br><p>Organization</p><br><p>Campus</p><br></div><div><br><p>Job Code and Payroll Title</p><br><p>006028 CMPTL AND DATA SCI RSCH SPEC 4</p><br></div><div><br><p>Job Category</p><br><p>Research and Scientific</p><br></div><div><br><p>Bargaining Unit</p><br><p>99 - Policy-Covered (No Bargaining Unit)</p><br></div><div><br><p>Employee Class</p><br><p>Career</p><br></div><div><br><p>Percentage</p><br><p>100%</p><br></div><div><br><p>Location</p><br><p>San Francisco, CA</p><br></div><div><br><p>Campus</p><br><p>Parnassus Heights (SF)</p><br></div><div><br><p>Work Style</p><br><p>Fully On-Site</p><br></div><div><br><p>Shift</p><br><p>Days</p><br></div><div><br><p>Shift Length</p><br><p>8 Hours</p><br></div><div><br><p>Additional Shift Details</p><br><p>M-F, 8-5pm</p><br></div>
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<p>The research data analyst will join the Department of Ophthalmology and work closely with a collaborative and exciting team at the F.I. Proctor Foundation studying eye diseases in the U.S. and internationally. Researchers at the F.I. Proctor Foundation conduct randomized controlled trials and large epidemiological studies on ocular diseases that can cause blindness, and is widely regarded as the preeminent center for eye-related research in the world. The epidemiological studies involve large-scale, population-based research of electronic health records databases with millions of observations ("Big Data"), and the trials involve domestic and international collaboration.
This position requires a team member with excellent technical programming skills along with communication and organizational skills. The analyst will support research studies by:
Contributing to research study design (including clinical trials)
Study monitoring
Database creation
Data collection and retrieval
Data management
Primary statistical analysis of a complex nature
Assistance with grant writing and publications
The position requires a team member that is comfortable with self-directed work and can work in a diverse team environment. The successful candidate will have experience conducting statistical analyses of large datasets. Experience with large electronic health records databases and tools for working on big data projects in remote, cloud computing environments is a plus. The employee should show a strong interest in clinical research and a desire to contribute to the state of knowledge on the prevention, treatment, and correlates of disease.

#J-18808-Ljbffr</p>

<p>Data Scientist

MED-CORE-RHEU

Full Time

81445BR

Job Summary

The Ye lab at Department of Medicine, Rheumatology and Institute for Human Genetics at UCSF is seeking a highly motived advanced data scientist with backgrounds in bioinformatics, computational biology, computer science, or other related areas. The individual will have a unique opportunity to lead the development of cloud-based analysis pipelines on AWS environment for highliy complex single-cell genomics projects at populational scale. The incumbent will work closely with an interdisciplinary team of computational biologists, geneticists, immunologists, and computer scientists to characterize the natural variability in immune response and map the genetic and environmental drivers of that diversity.

Under the supervision of principal investigator, the qualified candidate will be responsible for developing data analysis pipelines, maintaining and implementing computational methods to AWS platform, and bringing together diverse multiparameter high-throughput genomic datasets to enable deep data integration and knowledge discovery including but not limited to single-cell transcriptomics (scRNA-seq and single nuclei RNA-seq), immune repertoire sequencing (TCR and BCR), proteomics (scCITE-seq), epigenomics (scATAC-seq), and spatial sequencing at the level of 106 cells and above.

The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Department Description

DIVISION OF RHEUMATOLOGY / DEPARTMENT OF MEDICINE
The UCSF Division of Rheumatology is dedicated to delivering outstanding patient care in the diagnosis and treatment of rheumatic diseases in a premier academic environment.

Required Qualifications

Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience
Advanced knowledge of HPC / data science / CI
Five or more years of relevant experience
Highly advanced skills, and demonstrated experience 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 tools of large-scale scope
Demonstrated ability to regularly, effectively communicate with unit-level management
Demonstrated ability to initiate research proposals and acquire funding
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles
Self-motivated and works independently and as part of a team
Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base
In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills
In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs
Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI
At least 24 months of experiences with NGS analysis pipelines (e.g. alignment, variant calling and genome annotation)
At least 24 months of experiences analyzing and managing large-scale single-cell complex datasets including but limited to scRNA-seq, scATAC-seq, and scCITE-seq
Strong knowledge of statistical methods including Cox models, logistic regression, linear regression, and elastic net regression. Strong knowledge of parametric and non-parametric statistics

Preferred Qualifications

Doctor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization
Knowledge of genomics and immunology
Experience with machine learning techniques, such as random forest models, support vector machines and deep learning

About UCSF

The 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. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Organization

Campus

Job Code and Payroll Title

006028 CMPTL AND DATA SCI RSCH SPEC 4

Job Category

Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

San Francisco, CA

Campus

Parnassus Heights (SF)

Work Style

Fully On-Site

Shift

Days

Shift Length

8 Hours

Additional Shift Details

M-F, 8-5pm

#J-18808-Ljbffr</p>

Data Scientist

MED-CORE-RHEU

Full Time

81445BR

Job Summary

The Ye lab at Department of Medicine, Rheumatology and Institute for Human Genetics at UCSF is seeking a highly motived advanced data scientist with backgrounds in bioinformatics, computational biology, computer science, or other related areas. The individual will have a unique opportunity to lead the development of cloud-based analysis pipelines on AWS environment for highliy complex single-cell genomics projects at populational scale. The incumbent will work closely with an interdisciplinary team of computational biologists, geneticists, immunologists, and computer scientists to characterize the natural variability in immune response and map the genetic and environmental drivers of that diversity.

Under the supervision of principal investigator, the qualified candidate will be responsible for developing data analysis pipelines, maintaining and implementing computational methods to AWS platform, and bringing together diverse multiparameter high-throughput genomic datasets to enable deep data integration and knowledge discovery including but not limited to single-cell transcriptomics (scRNA-seq and single nuclei RNA-seq), immune repertoire sequencing (TCR and BCR), proteomics (scCITE-seq), epigenomics (scATAC-seq), and spatial sequencing at the level of 106 cells and above.

The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Department Description

DIVISION OF RHEUMATOLOGY / DEPARTMENT OF MEDICINE
The UCSF Division of Rheumatology is dedicated to delivering outstanding patient care in the diagnosis and treatment of rheumatic diseases in a premier academic environment.

Required Qualifications

Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience
Advanced knowledge of HPC / data science / CI
Five or more years of relevant experience
Highly advanced skills, and demonstrated experience 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 tools of large-scale scope
Demonstrated ability to regularly, effectively communicate with unit-level management
Demonstrated ability to initiate research proposals and acquire funding
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles
Self-motivated and works independently and as part of a team
Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base
In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills
In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs
Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI
At least 24 months of experiences with NGS analysis pipelines (e.g. alignment, variant calling and genome annotation)
At least 24 months of experiences analyzing and managing large-scale single-cell complex datasets including but limited to scRNA-seq, scATAC-seq, and scCITE-seq
Strong knowledge of statistical methods including Cox models, logistic regression, linear regression, and elastic net regression. Strong knowledge of parametric and non-parametric statistics

Preferred Qualifications

Doctor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization
Knowledge of genomics and immunology
Experience with machine learning techniques, such as random forest models, support vector machines and deep learning

About UCSF

The 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. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Organization

Campus

Job Code and Payroll Title

006028 CMPTL AND DATA SCI RSCH SPEC 4

Job Category

Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

San Francisco, CA

Campus

Parnassus Heights (SF)

Work Style

Fully On-Site

Shift

Days

Shift Length

8 Hours

Additional Shift Details

M-F, 8-5pm

#J-18808-Ljbffr

Research Data Scientist   Department:  Ophthalmology
Employment Type:  Full Time
Job Code:  81464BR
Job Summary:
The research data analyst will join the Department of Ophthalmology and work closely with a collaborative and exciting team at the F.I. Proctor Foundation studying eye diseases in the U.S. and internationally. Researchers at the F.I. Proctor Foundation conduct randomized controlled trials and large epidemiological studies on ocular diseases that can cause blindness, and is widely regarded as the preeminent center for eye-related research in the world. The epidemiological studies involve large-scale, population-based research of electronic health records databases with millions of observations ("Big Data"), and the trials involve domestic and international collaboration. This position requires a team member with excellent technical programming skills along with communication and organizational skills. The analyst will support research studies by: contributing to research study design (including clinical trials), study monitoring, database creation, data collection and retrieval, data management, primary statistical analysis of a complex nature, and assistance with grant writing and publications. The position requires a team member that is comfortable with self-directed work and can work in a diverse team environment. The successful candidate will have experience conducting statistical analyses of large datasets. Experience with large electronic health records databases and tools for working on big data projects in remote, cloud computing environments is a plus. The employee should show a strong interest in clinical research and a desire to contribute to the state of knowledge on the prevention, treatment, and correlates of disease.
Salary Range:  $67,000 - $94,200 (Annual Rate)
Department Description:
Ophthalmology became established as a department separate from Otolaryngology in 1912 at the University of California San Francisco. Since that time the Department of Ophthalmology has grown steadily and today includes the clinical facilities of three major hospitals. The Department of Ophthalmology is organized around faculty members with subspecialty skills and expertise. The department combines one of the nation's leading vision research programs with outstanding clinical care. The research and multicenter clinical facilities of the Department of Ophthalmology comprise the Beckman Vision Center.
Required Qualifications:
BA/BS with a major in a related field of quantitative science (e.g. data science, statistics, public health, epidemiology) and one+ years experience in project management or clinical research, or an equivalent combination of education and experience.
Demonstrated proficiency with statistical software languages (R).
Strong verbal and written communication skills.
Knowledge of various study designs.
Knowledge of database creation and management.
Experience and ability to work and interact positively with people from diverse backgrounds.
Highly organized and able to multitask in a fast-paced environment.
Independence, planning, and problem-solving abilities to complete assigned duties.
Preferred Qualifications:
Graduate degree in data science, epidemiology, biostatistics, statistics, public health or related field and two to three years of relevant experience or an equivalent combination of education and experience.
Experience working with large administrative or electronic health record datasets.
Experience with SQL.
Experience with Python.
Familiarity with reproducible and transparent research methods and tools.
Experience in writing, editing, and reviewing scientific manuscripts.
Experience in clinical research or demonstrated research or training experience that translates into a clinical research setting.
About UCSF:
The 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. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values:
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care.
Equal Employment Opportunity:
The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Job Location:  San Francisco, CA
Work Style:  Fully On-Site
Shift:  Days, 8 Hours, M-F, 8am-5pm

#J-18808-Ljbffr

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