Current Openings

Halıcıoğlu Data Science Institute Openings

HDSI Post-Doctoral

The Halıcıoğlu Data Science Institute (HDSI) has several postdoctoral fellowship openings aimed at preparing outstanding researchers for academic and leadership careers in Data Science.

Extending far beyond traditional postdoctoral programs, these Data Science Postdoctoral Fellows will enjoy the freedom to collaborate and conduct first-rate research with any of UCSD's distinguished researchers. HDSI Postdoctoral Fellows will receive an affiliation with HDSI and will be given a research budget and faculty-type office. Fellows may have the option to teach one or two data-science related classes during their postdoc appointment.

This program is sponsored by the newly formed Halıcıoğlu Data Science Institute at UC San Diego. The mission of HDSI is to explore the scientific foundations for the new field of data science. This includes developing the theory, methods, and tools that will enable us to understand the nature of modern digital data, and exploring the intersections between this new field and existing disciplines of human enquiry. A key aspect of the Institute’s work will be contributing to the training and education of the next generation of leaders in Data Science.

More information about the institute and its founding faculty can be found here: https://datascience.ucsd.edu and here: https://datascience.ucsd.edu/research/founding-faculty.html.

Applicants are encouraged to consult the current research initiatives at HDSI, which are listed here: https://datascience.ucsd.edu/research/index.html. Several positions are available and exceptional, self-motivated candidates with outstanding research records are encouraged to apply. Candidates must have a recent Ph.D. (or expect to receive one before starting the postdoc position) and have experience in a data science related research domain.

All applications received by February 15, 2019 will receive full consideration. Review of applications will continue until positions are filled. Postdoc positions will normally start July 1, 2019. Positions are normally for two years. Appointments and salary are commensurate with research experience and accomplishments following current UCSD guidelines.

Application materials required:

  • Cover letter indicating your interest in HDSI and identifying UCSD researchers with whom you may have common research interests
  • Curriculum Vitae
  • Publication list
  • Research Interests and Plans
  • 3 Reference Letters (to be uploaded by the letter writers via Academicjobsonline.org)
  • Teaching experience or diversity activities (optional)
  • As additional information, applicants should specify any teaching experience they have, especially related to data science, and any activities that have broadened participation and that support institutional goals for equity and diversity.

Application must be submitted through: https://academicjobsonline.org/ajo/jobs/13192

The University of California is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity (http://diversity.ucsd.edu).


 

Associate or Full Professor: Data Science - Multiple Areas

The University of California, San Diego invites applications from outstanding candidates for multiple tenured primary appointment faculty positions at the Halicioglu Data Science Institute with optional joint appointment in another academic department. We are focusing on candidates who advance research in the following areas:

  • Theoretical Foundations - candidates who are applying their disciplinary skills to advance the theory and applications of data science. The foundations area draws heavily from traditional disciplines such as machine learning, statistics, optimization, signal processing, algorithms and complexity. Accordingly, ideal candidates will have a doctorate in areas of engineering and computer science or mathematics/statistics with a record of research in data sciences.

  • Systems and Applications - candidates with background and experience in building data science systems that target a well-defined application area. Examples of application areas include robotics, health, cyber-physical systems. Research topics may include architectural design and implementation of devices and systems that push the state of the art in the use of data, data models, data related work-flows and methods of artificial intelligence. Demonstrated applications of these advances in targeted areas are of special interest. System implementations that target cross-cutting needs such as data visualization, system security are particularly welcome to apply. Accordingly, ideal candidates will have a doctorate in sciences or engineering with a record of research in data sciences.

The University of California, San Diego is committed to academic excellence and diversity within the faculty, staff and student body. A PhD in Computer Science, Engineering, Math or related discipline is required at the time of application. Candidates are expected to have established independent publication and funding records with national reputation in their field of research. The preferred candidate will have demonstrated strong leadership or a commitment to support diversity, equity and inclusion in an academic setting. Applicants will be expected to teach graduate and undergraduate students in the Data Science major/minor degree programs offered by the Institute. In case of a partial joint appointment with another department, the teaching workload would include appropriate course work in the participating department. Salary and rank will be commensurate with qualifications in conformance with University of California policies.

About the Halicioglu Data Science Institute: Data Science has emerged as an area central to advances in our understanding of nature, improving the quality life and a healthy society. Data collection, stewardship, and analyses are already integrated into the infrastructure for commerce, healthcare, governance, and education. These ubiquitous practical uses of digital data have raised awareness of the need to further develop the underlying scientific and technological basis for understanding and exploiting data. UC San Diego is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. Funded with a $75M endowment, the mission of the Halicioglu Data Science Institute (HDSI) is to explore the scientific foundations for the new field of data science. These foundations include the principles, methods, and tools that will enable us to understand the nature of digital data, and also the intersections between this new field and existing disciplines of human enquiry. HDSI is a new strategic academic institute tasked with hosting and coordination of Data Science research and education activities at the University of California, San Diego. Among HDSI academic programs are a Data Science major and minor currently with nearly 600 undergraduate students. Prospective HDSI faculty members will have the option of a joint appointment with one or more academic departments of the University in order to bolster the interdisciplinary nature of Data Science.

We encourage candidates to send applications as soon as possible. Review of applications will begin Jaunary 17, 2019 and continue until the position is filled.

Applications must be submitted electronically through AP-Online Recruit website: https://apol-recruit.ucsd.edu/apply/JPF01994

Please submit a:

  1. A Cover Letter
  2. C.V. with list of publications
  3. Solicit 3 to 5 references to provide letters through the Recruit system
  4. A statement of Research
  5. A statement of teaching interests and
  6. A separate statement describing past experience in activities that promote diversity and inclusion and/or plans to make future contributions. For further information about contributions to diversity statements, see http://facultyequity.ucsd.edu/Faculty-Applicant-C2D-Info.asp .

For applicants with interest in spousal/partner employment, please see https://aps.ucsd.edu/services/pop/index.html  for the UC San Diego Partner Opportunities Program.

UC San Diego is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity.


Assistant Professor: Data Science - Multiple Areas

The University of California, San Diego invites applications from outstanding candidates for multiple tenure-track faculty positions for primary appointment at the Halicioglu Data Science Institute with optional joint appointment in another academic department. We are focusing on candidates who advance research in the following areas:

  • Theoretical Foundations - candidates who are applying their disciplinary skills to advance the theory and applications of data science. The foundations area draws heavily from traditional disciplines such as machine learning, statistics, optimization, signal processing, algorithms and complexity. Accordingly, ideal candidates will have a doctorate in areas of engineering and computer science or mathematics/statistics with a record of research in data sciences.

  • Systems and Applications - candidates with background and experience in building data science systems that target a well-defined application area. Examples of application areas include robotics, health, cyber-physical systems. Research topics may include architectural design and implementation of devices and systems that push the state of the art in the use of data, data models, data related work-flows and methods of artificial intelligence. Demonstrated applications of these advances in targeted areas are of special interest. System implementations that target cross-cutting needs such as data visualization, system security are particularly welcome to apply. Accordingly, ideal candidates will have a doctorate in sciences or engineering with a record of research in data sciences.

  • Digital Security, Privacy and Public Policy - candidates with background in computer science and public policy who explore the impact of risks and benefits of digital data for a well-defined vertical application area: such as democratic practice, health, education, trade in digital services or societal infrastructure for energy, transportation, and communications or information infrastructures. Of prime interest will be candidates pursuing advances in theory, methods and tools that help us understand security risks to organizations and the national infrastructure, devise methods and policies to mitigate those risks considering both technical considerations and implementation factors such as social, political and economic feasibility.

The University of California, San Diego is committed to academic excellence and diversity within the faculty, staff and student body. A PhD in Computer Science, Math, Economics, Engineering or related discipline is required at the time of application. Salary and rank will be commensurate with qualifications in conformance with University of California policies. Successful appointees will have a track record of scientific accomplishments, excellence in teaching, a commitment to university service, and a commitment to support diversity, equity, and inclusion at the university. Applicants will be expected to teach graduate and undergraduate students in the Data Science major/minor degree programs offered by the Institute. In case of a partial joint appointment with another department, the teaching workload would include appropriate course work in the participating department.

About the Halicioglu Data Science Institute: Data Science has emerged as an area central to advances in our understanding of nature, improving the quality life and a healthy society. Data collection, stewardship, and analyses are already integrated into the infrastructure for commerce, healthcare, governance, and education. These ubiquitous practical uses of digital data have raised awareness of the need to further develop the underlying scientific and technological basis for understanding and exploiting data. UC San Diego is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. Funded with a $75M endowment, the mission of the Halicioglu Data Science Institute (HDSI) is to explore the scientific foundations for the new field of data science. These foundations include the principles, methods, and tools that will enable us to understand the nature of digital data, and also the intersections between this new field and existing disciplines of human enquiry. HDSI is a new strategic academic institute tasked with hosting and coordination of Data Science research and education activities at the University of California, San Diego. Among HDSI academic programs are a Data Science major and minor currently with nearly 600 undergraduate students. Prospective HDSI faculty members will have the option of a joint appointment with one or more academic departments of the University in order to bolster the interdisciplinary nature of Data Science.

We encourage candidates to send applications as soon as possible. Review of applications will begin January 17, 2019 and continue until the position is filled.

Applications must be submitted electronically through AP-Online Recruit website: https://apol-recruit.ucsd.edu/apply/JPF01984

Please submit a:

  1. A Cover Letter
  2. C.V. with list of publications
  3. Solicit 3 to 5 references to provide letters through the Recruit system
  4. A statement of Research
  5. A statement of teaching interests and
  6. A separate statement describing past experience in activities that promote diversity and inclusion and/or plans to make future contributions. For further information about contributions to diversity statements, see http://facultyequity.ucsd.edu/Faculty-Applicant-C2D-Info.asp .

For applicants with interest in spousal/partner employment, please see https://aps.ucsd.edu/services/pop/index.html  for the UC San Diego Partner Opportunities Program.

UC San Diego is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity.


Temporary Lecturer - Data Science Program

The UC San Diego Data Science Undergraduate Program (joint endeavor of the Departments of Computer Science and Engineering, Mathematics and Cognitive Science) is seeking temporary lecturers to teach between one and three course per quarter during 2018-19 academic year. We seek applicants in all content areas related to data science including data analysis, programming, statistics, machine learning and visualization.

The Data Science Undergraduate Program is a recently established multi-disciplinary undergraduate major at UC San Diego sponsored by the Departments of Computer Science and Engineering, Mathematics and Cognitive Science. The program has about 15 core faculty and several other participating faculty from various campus departments. UC San Diego is working on several other new initiatives related to data science and is committed to data science education and research.

The Data Science Undergraduate Program is committed to building an excellent, diverse, and inclusive faculty, staff and student body. In addition to the highest standards of scholarship, teaching, and professional activity, the preferred candidates for any position will have potential or demonstrated contributions to a climate that supports equity, inclusion, and diversity. Candidates must hold a master's degree in Computer Science. Mathematics, Statistics or a related field, and must have demonstrated evidence of effective teaching. Salary is commensurate with qualifications and based on University of California pay scales

We encourage candidates to send applications as soon as possible. Applications will be reviewed on an ongoing basis, and candidates will be contacted as teaching needs arise.

Review of applications will begin January 8, 2018 and continue through 2018-2019 academic year until positions are filled.

To apply, submit the following materials to 
https://apol-recruit.ucsd.edu/apply/JPF01654

  • A cover letter
  • Curriculum vita
  • A statement that describes prior teaching experience and provides evidence of effective teaching and curriculum development.
  • A separate description, that describes any teaching strategies you currently use or plan to use to foster a diverse and inclusive learning experience, and to enable all students to excel and fully participate in the learning process. Candidates are strongly encouraged to provide student evaluations in this statement.
  • A list of at least 3 references who can speak about the applicant's teaching experience and data science domain knowledge.

If there are any questions, please contact the Search Committee Chair, Mohan Paturi at paturi@cs.ucsd.edu.

UCSD is an equal opportunity and affirmative action employer with a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff. (see http://diversity.ucsd.edu  ).


Other Openings Across Campus

Geisel Library
Life and Health Sciences Collection Strategist
JPF01778
Last review date was Aug 21, 2018
Applications accepted until Jun 1, 2019
Open Jun 8, 2018 – Jun 1, 2019
Metadata Specialist
JPF01797
Last review date was Aug 27, 2018
Applications accepted until Jun 19, 2019
Open Jun 20, 2018 – Jun 19, 2019
Rady School Of Management
Assistant Professor of Innovation, Technology, and Operations (Business Analytics)
JPF01779
Last review date was Nov 9, 2018
Applications accepted until May 31, 2019
Open Aug 6, 2018 – May 31, 2019
Associate or Full Professor of Innovation, Technology, and Operations (ITO/Business Analytics)
JPF01851
Last review date was Nov 1, 2018
Applications accepted until May 31, 2019
Open Oct 1, 2018 – May 31, 2019
Family Medicine and Public Health
Assistant, Associate or Full Professor (Adjunct, In-Residence) - FMPH - Biostatistics and Bioinformatics
JPF01878
Last review date was Nov 2, 2018
Applications accepted until Sep 7, 2019
Open Sep 7, 2018 – Sep 7, 2019
Medicine
Assistant, Associate or Full Professor (In Residence, Adjunct, Clinical X, HS Clinical) Biomedical Informatics
JPF01931
Last review date was Dec 9, 2018
Applications accepted until Nov 13, 2019
Open Nov 13, 2018 – Nov 13, 2019
Assistant Professor (Ladder/In-Residence) MED - Biomedical Informatics
JPF01946
Last review date was Dec 9, 2018
Applications accepted until Nov 13, 2019
Open Nov 13, 2018 – Nov 13, 2019
Associate or Full Professor (Ladder, Ladder/In-Residence) MED - Biomedical Informatics
JPF01947
Last review date was Dec 9, 2018
Applications accepted until Nov 13, 2019
Open Nov 13, 2018 – Nov 13, 2019
Economics
Lecturer with Security of Employment - Associate/Full Teaching Professor, Econometrics and Data Analytics
JPF01736
Last review date was Apr 28, 2018
Applications accepted until Jun 30, 2019
Open Apr 13, 2018 – Jun 30, 2019

 


Industry Openings

Data Engineer

Measurabl

About Us

INTEGRITY + TRANSPARENCY + INFLUENTIAL + HARMONY = TEAM.

Measurabl is a fast-paced growth stage startup that provides precision software to help the real estate industry collect, report, and act upon non-financial data as it relates to their sustainability. As we celebrate 5 years in business, we are heavily expanding our San Diego team and looking for motivated people to join us! 

Responsibilities

  • Work with data science and engineering teams to improve reliability and timeliness of data flow
  • Own data expertise and ensure data quality for pipelines
  • Design and implement efficient & intuitive data pipelines for both research and development
  • Implement new systems and tools to enable both internal and external consumers to understand data faster

Required Skills and Experience

  • Expert knowledge of Python
  • Strong knowledge of relational databases, query authoring, and query optimization
  • Working knowledge Linux and AWS services (e.g. EC2, Lambda, RDS, Redshift, and Data Pipeline)
  • Experience with web services and RESTful APIs
  • Solid computer science fundamentals
  • Self-motivated with a strong affinity for problem solving
  • Excellent written and verbal communication skills, hard-working, dependable
  • Takes ownership of tasks and responsibilities and is accountable for results

Desired Skills and Experience

  • Knowledge of Java
  • Experience with big data technologies
  • Experience with data warehousing
  • Experience with front-end charting libraries

Benefits

  • This is a full-time position at our office in San Diego, CA
  • Competitive compensation structure
  • Full benefits package includes 401(k), paid holidays, flexible work from home abilities, and unlimited PTO as well as tons of other perks!!

To learn more and apply, visit: https://measurabl.bamboohr.com/jobs/view.php?id=30


Data Scientist II

MedImpact

Position Summary

The Data Scientist II will be part of MedImpact’s Enterprise Analytics Team concentrating on the development of predictive analytical models for a wide variety of business problems.

Essential Duties and Responsibilities 

include the following. Other duties may be assigned.

  • Analyzing, processing, evaluating and documenting large data sets
  • Applying, modifying and inventing algorithms to solve challenging business problems
  • Partnering with business leaders to develop subject matter expertise to identify business challenges and working on innovative analytical solutions
  • Contributing to projects by adding insights and recommendations
  • Working on getting analytic solutions production ready
  • Validating score performance and conducting ROI and benefit analysis
  • Documenting and presenting model process and model performance

Education And/or Experience

For consideration, candidates will need an Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Biostatistics, Applied Math, Operations Research or other quantitative fields along with five (5) plus years of working experience in analytics, data mining, and/or predictive modeling with robust knowledge and experience with statistical methods.

Computer Skills – Required

  • Proficient in analytical programming tools, specifically SAS
  • Proficient in more than one of Python, Perl, R, PL/SQL, Java, C++, or C
  • Experience with big data management for both structured and unstructured data (i.e. Oracle Exadata, Hadoop, NoSQL related technologies such as Map Reduce or Spark)
  • Well-versed in all Microsoft Office applications (Excel, PowerPoint, Word, Access) 

Competencies – Required

  • Skilled at facilitating communication across multiple business units in order to elicit clear and accurate needs of all stakeholders
  • Ability to lead teams tasked with developing and enhancing the performance of key company objectives
  • Must have good negotiation and influencing skills with a diverse team of individuals as well as subject matter experts
  • Experience with Agile methods for software development
  • Proficient in visualization and text analytics
  • Demonstrated ability to lead and execute projects from start to finish in a timely manner and the ability to work independently
  • Strong intellectual curiosity and problem solving skills
  • Proven track record in modifying and applying advanced algorithms to address practical problems and ability to consult with business owners to understand business needs
  • Proven and demonstrable experience with developing models using at least three of the following: regression, neural network models (both supervised and unsupervised), SVM, optimization models, behavioral profiling techniques, outlier detection and/or ensemble methods on large amounts of real world data with complex data structures
  • Strong business acumen and ability to learn a new domain
  • Ability to create engaging presentations and speak confidently to executives and clients

This position is eligible for Employee Referral Bonus at Level II.

To learn more and apply, visit: https://chm.tbe.taleo.net/chm01/ats/careers/requisition.jsp?org=MEDIMPACT&cws=1&rid=5866