Job Description

Payroll Title:
BIOINFORMATICS PROGR 3
Department:
CNTR HUMAN DEVELOPMENT
Hiring Salary Range
$65,000 - $97,000 / Year
Worksite:
Hybrid Remote
Appointment Type:
Career
Appointment Percent:
100%
Union:
Uncovered
Total Openings:
1
Work Schedule:
8 hrs/day, Mon - Fri

#120243 Data Scientist/Data Manager (Hybrid/Remote)

Filing Deadline: Tue 12/6/2022

UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.

For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy

UCSD Layoff from Career Appointment: Apply by 11/28/22 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 12/6/22. Eligible Special Selection clients should contact their Disability Counselor for assistance.

The title/pay level of this position will be based on the qualifications and experience of the candidate identified for hire.

DESCRIPTION

Reporting to the Associate Director of Data Science & Management, the Data Scientist / Data Manager will be a senior member of a team of research professionals at the ABCD CC and DAIRC, responsible for data quality assurance, monitoring, and reporting as well as the curation and publication of data from the ABCD Study. Using their skills as an expert R developer, the incumbent will be primarily responsible for the design, development, and maintenance/adaptation of efficient and reproducible processing pipelines for the high-dimensional dataset collected in the context of the nationwide study.

Using their advanced skills in statistical analysis and data visualization, they will spearhead the design, development, and maintenance of study reporting tools like automated reports as well as contribute to the development and maintenance of interactive web applications, supporting the groups’ mission to proactively identify issues with study protocol compliance and data quality/completeness, implement solutions, and respond to requests from the consortium. The Data Scientist / Data Manager will work closely with the domain experts in the consortium as well as other stakeholders to develop and implement standards for the curation of the dataset as well as its preparation, review, and correction for public data releases. Will respond to and resolve issues expertly in a timely manner and communicate complex information to users of varying levels of technical expertise.

Bioinformatics 3:

Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently.

Bioinformatics 2:

Uses professional bioinformatics concepts. Applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate scope where analysis of data requires a review of a variety of factors. Assists in additional analyses as needed to achieve research objectives.

This position may work remotely, requiring a remote work agreement, anywhere in the United States. This position may be eligible for a flexible work arrangement, which could include a non-standard work schedule, and/or the ability to work off-site part of the time. The employee shall be available full-time during assigned work hours (specific hours to be discussed with supervisor).

QUALIFICATIONS

Bioinformatics 3 Qualifications:

  • Bachelor's degree in biological science, computational / programming, or related area plus minimum of four (4) years experience, or equivalent experience/training.

  • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. Excellent data processing, analysis, and visualization skills using the R programming language demonstrated by more than three (3) years of experience, including R package development and functional programming. Experience with the development of automated reporting tools like HTML reports and websites using R Markdown / Quarto.

  • Thorough knowledge of bioinformatics programming design, modification and implementation. Strong general scientific programming skills, including the design and development of reliable and efficient data processing pipelines, dealing with large multidimensional datasets. Thorough knowledge of programming and software development best practices: testing, version control, dependency management, reproducible development environments, containerization (Docker/Singularity), continuous integration, etc.

  • Understanding of relational databases, web interfaces, and operating systems. *Thorough experience with interfacing with databases using SQL and APIs (e.g., PostgreSQL, MySQL, REDCap). Advanced knowledge of UNIX operating systems and command line tools.

  • Strong project management skills.

  • Thorough knowledge of modern biology and applicable field of research. Strong experience with the scientific method and research design, ideally demonstrated by previous work in scientific research settings.

  • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. Excellent verbal and written communication skills to effectively communicate with audiences of diverse levels of expertise.

  • Proven ability to write well organized and documented code as well as accompanying technical documentation.

  • Thorough knowledge of web, application and data security concepts and methods. Applied knowledge of encryption technologies and standards as well as authentication protocols (e.g., OAuth).

  • Experience with human subject research and following research protocols.

Bioinformatics 2 Qualifications:

  • Bachelor's degree in biological science, computational / programming, or related area plus minimum of two (2) years of experience, or equivalent experience/training.

  • Experience with data processing, analysis, and visualization skills using the R programming language demonstrated by experience, including R package development and functional programming.

  • Working knowledge of bioinformatics methods and data structures. General scientific programming skills, including the design and development of reliable and efficient processing pipelines, dealing with multidimensional datasets.

  • Knowledge of programming and software development best practices: testing, version control, dependency management, reproducible development environments, containerization (Docker/Singularity), continuous integration, etc.

  • Working knowledge of applications programming and web development. Working experience in the development of automated reporting tools like HTML reports and websites using R Markdown / Quarto.

  • Working knowledge of databases. Experience in interfacing with databases using SQL and APIs (e.g., PostgreSQL, MySQL, REDCap).

  • Project management skills.

  • Working knowledge of modern biology and applicable field of research. Experience with scientific method and research design.

  • Ability to communicate technical information in a clear and concise manner. Ability to write well organized and documented code as well as accompanying technical documentation.

  • Working knowledge of application and data security concepts.

SPECIAL CONDITIONS

  • Job offer is contingent upon satisfactory clearance based on Background Check results.
  • Occasional evenings and weekends may be required.
  • The title/pay level of this position will be based on the qualifications and experience of the candidate identified for hire.

Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral).

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.

Application Instructions

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