Computational Data Analyst

Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting. Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools. Utilizes statistical software and adheres to all protocols per Lee-Oesterreich Lab SOP.

Job Duties:

Data Management (50% of time):

• Develop and implement standard operating procedures (SOPs) for data management
• Organize and maintain research databases including management of AWS and HTC data
• Ensure data quality and integrity
• Assist in data collection and storage processes
• Manages a comprehensive tracking system for sequencing projects, systematically documenting and monitoring the relationship between individual sequencing projects and their associated biological samples

Data Analysis (50% of time):

• Conduct computational analysis of research data
• Apply statistical and bioinformatics techniques to interpret results

```{=html}

``` - Collaborate with research team members on data-driven projects - Contribute to the preparation of reports and publications - Collects, organizes, maintains, reviews, and integrates data and data sets to support analysis and study design. - Performs descriptive and exploratory analyses. - Creates routine reports, charts, exhibits, and other relevant data summarizations and analysis reporting tools. - Utilizes statistical software in analysis and interpretation of research data. - Adheres to research protocols; ensures compliance with all regulations.

Qualifications:

• Master's degree in Computational Biology or related field
• Proficient in R programming
• Experienced in handling sequencing data
• Capable of independent work with minimal supervision

Research Interest:

• Motivated to contribute to breast cancer biology research

   

Job Summary

Evaluates business requirements and performs basic data integration and analysis. Develops routine analytical and reporting tools utilizing integrated data. Provides technical support.

Essential Functions

The Data Analyst must be highly organized with a strong attention to detail. The candidate should have excellent written and oral communication skills with meticulous documentation skills. They should be analytical and data driven with the ability to support multiple projects. They will need to be well versed in computational tools and statistical software's to successfully perform their research.

Physical Effort

Little physical effort required. Duties are primarily sedentary. May be required to move objects up to 25 pounds occasionally.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

Assignment Category: Full-time regular

Job Classification: Staff.Data Analyst I

Job Family: Information Technology

Job Sub Family: Analytics

Campus: Pittsburgh

Minimum Education Level Required: Bachelor's Degree

Minimum Years of Experience Required: 1

Will this position accept substitution in lieu of education or experience: No

Work Schedule: Monday - Friday 8:00 - 4:30

Work Arrangeme t: Monday - Friday 8:00 - 4:30

Hiring Range: TBD based on qualifications

Relocation_Offered: No

Visa Sponsorship Provided: No

Background Check: For position finalists, employment with the University will require successful completion of a background check

Child Protection Clearances: Not Applicable

Required Documents: Resume

Optional Documents: Cover Letter

PI259676592