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A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Join to apply for the  Research Data Analyst 3  role at  University of California, San Francisco
Join to apply for the  Research Data Analyst 3  role at  University of California, San Francisco
Job Summary

This position will function as the Research Data Analyst 3 for the UCSF Adult Congenital Heart Disease (ACHD) Research Program.
MED-CORE-CARD

Full Time

85266BR

Job Summary

This position will function as the Research Data Analyst 3 for the UCSF Adult Congenital Heart Disease (ACHD) Research Program.

This program is based at the Department of Medicine, Division of Cardiology. The program conducts patient-centered research projects, one of which is called the Empower My Congenital Heart (EMCH) study. The EMCH is a NIH-funded study designed as a digital health platform to support all patients with congenital heart conditions in navigating their care and engaging actively in their health journey. Other patient-centered projects within the ACHD Research Program include PCORI-funded stakeholder convening projects to identify patient prioritized research topics.

The ACHD research program includes ongoing mixed methods data collection, active recruitment and engagement within the EMCH digital study, ongoing intervention design and redesign, stakeholder engagement, and research data analysis and dissemination as key aspects. The research data analyst will work closely with the PI and other study researchers to manage all these activities. The research data analyst will manage study compliance and deliverables; lead regular data analysis meetings; oversee junior analysts and students; lead efforts for publication preparation; collaborate with stakeholders to devise communication plan to report study findings to clinicians and patients; and coordinate community-based communication activities, online and in-person, for the Adult Congenital Heart patient population.

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.

The salary range for this position is $87,900 - $126,900 (Annual Rate).

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

The Agarwal ACHD research program studies various community-based participatory research approaches and implementation science methods for clinical research, with the goals of improving access to high quality care and outcomes.

UCSF is a top-10 medical center and a leader in cross-campus efforts to mine, harmonize, and analyze multi-modal clinical data for the University of California’s 15 million patients.

The Agarwal research program is part of the UCSF Division of Cardiology, where the abovementioned efforts are based, and the nationally ranked Department of Medicine. Projects focus on building stakeholder and community partnerships for enhancing the health and well-being, and through collaborative work with intra- and inter-institutional partners, touch the electronic health record, digital health, and other sources of data.

Required Qualifications

Bachelor's degree in related area and / or equivalent experience / training
Minimum 3+ years of directly relevant experience
Thorough knowledge of research function
Thorough skills associated with statistical and qualitative analysis, systems programming, database/data management design, and data security measures
Thorough skills in analysis and consultation
Skills to communicate complex information in a clear and concise manner both verbally and in writing
Skills in project management
Ability to work in multiple settings, clinics, remote office and in academic research department
1 or more years’ experience working with vulnerable populations with chronic health conditions in medical settings and/or in community-based settings (e.g. people with chronic illnesses, heart disease, cancer, etc.)
Research skills at a level to evaluate alternate solutions and develop recommendations
Demonstrated proficiency with PC Microsoft Word, Excel, Access, Outlook, Endnote or Zotero, Discord, Canva, and tools used for graphic designing
Experience writing and publishing research papers
Knowledge of data collection activities, research studies, data collection procedures, data management best practices
Experience with conducting qualitative interviews and analysis using qualitative software (i.e., NVivo, Dedoose, Atlat.TI)

Preferred Qualifications

Master’s or doctoral degree in Public Health, Global Health, Anthropology, Sociology, or Psychology or related area or an equivalent experience/training

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 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Organization

Campus

Job Code and Payroll Title

006257 RSCH DATA ANL 3

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

Monday to Friday 8:00am to 5:00pm
Seniority level    Seniority level Not Applicable
Employment type    Employment type Full-time
Job function    Job function Research, Analyst, and Information Technology
Industries Higher Education
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Join to apply for the  AI Research Engineer  role at  University of California, San Francisco
Join to apply for the  AI Research Engineer  role at  University of California, San Francisco
Get AI-powered advice on this job and more exclusive features.
Job Summary

We are seeking a skilled
Bioengineering

Full Time

85111BR

Job Summary

We are seeking a skilled  AI Research Engineer  to help our team implement and utilize large language models for intelligent querying and data exploration. You will apply methods like Retrieval-Augmented Generation (RAG) and fine-tuning to handle large datasets comprising thousands of documents (e.g., ~1,000,000 pages of PDF). Additionally, the incumbent will support real-world clinical data analysis by extracting insights from clinical notes using LLM technology.

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.

The salary range for this position is $104,600 - $157,000 (Annual Rate).

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

The Department of Bioengineering and Therapeutic Sciences is a joint department that reports to both the School of Medicine (SOM) and the School of Pharmacy (SOP). Its faculty perform high-quality basic, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. It educates PharmD, MD professionals and PhDs in bioengineering and therapeutic sciences.

The Zhao Lab in the Department of Bioengineering and Therapeutic Sciences advances drug development and regulatory science through cutting-edge research in pharmacometrics, drug delivery modeling, and artificial intelligence (AI)-based tools that will closely impact drug development and regulatory decision-making.New technologies are required to keep pace with the plethora of drugs, biologics and medical products that have emerged in recent decades. Artificial intelligence (AI) is poised to revolutionize regulatory science, offering unprecedented opportunities to enhance medical product review processes, analyze vast amounts of clinical trial data, and assess post-market surveillance data with greater precision. In parallel, AI is transforming drug discovery and development by identifying novel drug targets, modeling the pharmacological activity of molecules, optimizing drug design, and gaining deeper insights into disease mechanisms. Our lab is working to build new AI-based tools and computational models to streamline regulatory science and accelerate drug development. By leveraging cutting-edge technologies, we aim to create more efficient or novel pathways for bringing safe and effective therapies to market, while also advancing our understanding of complex diseases and therapeutic interventions.

Note: This is a 1-year Full-time Contract role.

Required Qualifications

Bachelor's degree in Computer Science, Data Science, AI, Computational Linguistics or related area and / or equivalent experience / training.
Minimum 3 years of related experience.
Intermediate knowledge of secure software development.
Advanced skills associated with software design, modification, implementation and deployment, including object-oriented programming concepts.Solid programming skills and proficiency in relevant AI and NLP frameworks.
Demonstrated ability to understand functional needs and how systems can support those needs. Demonstrated ability to develop conversion and system implementation plans.
Demonstrated ability to interface with management on a regular basis.
Demonstrated ability to contribute technical narrative to grant proposals.
Thorough experience with identification and use of code libraries and open-source forums. Proven hands-on experience developing, fine-tuning, or deploying large language models.
Experience with planning for deployment and creation of feedback mechanisms.
Demonstrated software repository skills. Demonstrated testing and test planning skills.
Thorough experience with common programming tools. Demonstrated ability to follow software specifications.
Demonstrated effective communication and interpersonal skills.
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.

.

Preferred Qualifications

Master’s degree
Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.
Strong interest in healthcare, regulatory science, or pharmaceutical research fields.

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 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Organization

Campus

Job Code and Payroll Title

007300 APPLICATIONS PROGR 3

Job Category

Clinical Systems / IT Professionals, Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Contract

Percentage

100%

Location

San Francisco, CA

Campus

Mission District (SF)

Work Style

Fully On-Site

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Monday - Friday; 8:00 AM - 5:00 PM
Seniority level    Seniority level Not Applicable
Employment type    Employment type Full-time
Job function    Job function Engineering and Information Technology
Industries Higher Education
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University of california, san francisco Interview Questions

University of california, san francisco Interview Guides

University of california, san francisco Interview Questions

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