Research Data Analyst II

University of California San Francisco

$80K — $100K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficiency with cloud-based computing.
  • Knowledge of statistical genetic analysis for diverse study samples.
  • Experience with statistical packages like SPSS, SAS, or R.
  • Skillful in MS Excel and PowerPoint for data presentation.
  • Self-motivated with strong attention to detail.

Responsibilities

  • Conduct primary statistical analyses including data tabulation and reporting.
  • Facilitate data quality control and cleaning.
  • Assist in grant-writing and prepare preliminary analyses.
  • Collaborate on the design and implementation of research studies.
  • Prepare and summarize research data for internal reporting.

Benefits

  • Positive work environment with dedicated colleagues.
  • Opportunity to work on significant clinical research.
  • Engagement in grant-writing and publication processes.
Full Job Description
Job Description

Job Summary:

Works on research data reporting assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions. Involves gathering, analyzing, and interpreting a wide variety of research data. Designs and conducts research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.

We are seeking a full-time Data Analyst to become an integral part of our team. We offer a positive environment with dedicated colleagues in the Department of Neurology at UCSF. The Research Data Analyst will support epidemiologic studies, which aim to collect data from people with Parkinson's disease (PD), people at risk of developing PD, and other research volunteers to answer key scientific questions in the field.

The Research Data Analyst will be the primary analyst for an observational multicenter study Parkinson's disease genetics study and will also participate in analyses of other related observational study datasets.

The Research Data Analyst will have the following responsibilities: 1) conduct primary statistical analyses, including data tabulation and reporting, descriptive statistics, and multivariate and longitudinal data analyses; 2) conduct data quality control 3) contribute to analyses of genetic risk factors for PD among ancestrally diverse samples. Secondary responsibilities include facilitating harmonization of study data with external datasets, interpreting and writing up results for publication, assisting with progress reports; and engaging in grant-writing process including preparation of preliminary analyses.

We are seeking a candidate who enjoys liaising with multiple study collaborators. The Research Data Analyst should show a strong interest in clinical research and a desire to contribute to the state of knowledge on genetics and other risk factors for Parkinson's disease. The Research Data Analyst must be able to multi-task, problem-solve, and apply creative solutions to new and unexpected situations with limited supervision.

Responsibilities

of time
Essential Function (Yes/No)

Key Responsibilities

(To be completed by Supervisor)
7yes
Conducts statistical studies in support of research proposals and protocols.
  • Assists in grant-writing process including preparation of preliminary analyses
  • Contributes to interpreting and writing up results for publication
15yes
Maintains and develops research gathering, retrieval and reporting systems.
  • Programs and modifies Redcap and other questionnaire engines and databases
  • Develops and modifies data dictionaries and codebooks
  • Contributes to data harmonization efforts
5yes
Contributes to planning of studies, including the testing of survey instruments and determining the sampling and reporting procedures.
  • Designing and reviewing schedule of activities, metrics, and reports
  • Monitors data quality control / data cleaning as needed
20yes
Collaborates on the design, documentation, testing and implementation of research studies.
  • Liaise with study leadership to assist in execute study analytic needs
  • Work collaboratively with other multi-function teams
  • Coordinate and participate in regular investigator meetings (teleconference/webinar/in person)
  • Design/refine data collection instruments
  • Develop data quality control measures to identify and resolve data discrepancies
20yes
Prepares reports and / or analyses for internal department constituents.
  • Performs data quality control
  • Data cleaning as needed
3noMay be involved in researching, evaluating and selecting new data reporting products.5yesAssists in developing systems for organizing data to analyze, identify and report trends.20yes
Gathers and analyzes research data; prepares and summarizes information .
  • Prepares data for presentation
  • Quality assurance checks to ensure flawless deliverables
  • Data analysis and visualization efforts tailored to study priorities
  • Creates and structures code for repeated use
5yesIndependently plans limited studies or assists higher level Analysts in large, complex studies.100%

Qualifications

Required Qualifications:
  • Proficiency with cloud-based computing
  • Working knowledge of statistical genetic analysis for ancestrally diverse study samples
  • Proficiency in statistics, data analysis, research methods and statistical packages such as SPSS, SAS, and/or R, or a related package
  • Proficiency in applications such as MS Excel and PowerPoint for presenting summary reports, charts, tables, and other visual aids.
  • Self-motivated, positive attitude, strong-attention to detail
  • Process oriented with great documentation skills
  • Must have excellent interpersonal, written and verbal communication skills, and administrative skills
  • Excellent computer skills
  • Ability to work independently, complete projects in a timely manner, and prioritize multiple projects to ensure completion of essential tasks by deadlines.
  • Working knowledge of research function.
  • Working skills in statistical analysis, systems programming, Redcap database design and data security measures.
  • Working skills in analysis and consultation.
  • Skills to communicate complex information in a clear and concise manner both verbally and in writing
  • Outstanding communication and people skills
  • Strong problem solving and critical thinking skills
  • Candidates must possess the required qualifications by the time of hire


Preferred Qualifications:
  • Masters of Science in Biostatistics
  • Familiarity with Parkinson's disease and other neurological disorders
  • Familiarity with the development of relational databases
  • Prior experience working with large and complex datasets
  • Skills in project management
  • Working knowledge of common organization- or research-specific and other computer application programs. These may include, but are not limited to, Box / Google Drive, Outlook, Zoom, Python, tools such as Slack, Github, Basecamp, connecting to servers / cloud computing systems
  • Working knowledge of federal, state, and local research regulations and guidelines, and research practice methods in a laboratory or clinical setting
  • Experience applying the following regulations and guidelines: Good Clinical Practice Guidelines, Health Information and Accountability Act (HIPAA), The Protection of Human Research Subjects, Committee on Human Research (CHR) regulations for recruitment and consent of research subjects, General Data Protection Regulation (GDPR)


Salary Information

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

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