Advanced Scientific Data Management Associate

Bio-Techne • Minneapolis, MN

2d • Hybrid

About The Position

Bio-Techne is seeking a highly detail oriented and technically proficient Advanced Scientific Data Management Specialist to support the accuracy, automation, and operational reliability of scientific product data used across our global web platforms. Our team manages complex datasets for over 100 suppliers, each with unique scientific attributes, metadata requirements, and formatting rules. This role blends data operations, automation, analytics, and scientific content management.

Requirements

• Bachelor’s degree (required) in Biology, Biochemistry, Bioinformatics, Data Science, or other related fields
• Strong attention to detail and commitment to data accuracy
• Familiarity and experience using scripting languages such as Python, R or PowerShell
• Familiarity and experience querying databases with SQL
• Basic understanding of relational databases and schema.
• Familiarity with data visualization tools such as Power BI, Tableau, or Looker
• Comfortable working with complex systems, structured data, and automation tools
• Ability to learn new software platforms and follow detailed workflows
• Strong communication skills and willingness to ask clarifying questions
• Ability to stay focused through a mix of repetitive tasks and complex problem solving

Responsibilities

• Maintain and update scientific product data within multiple internal systems (Microsoft Dynamics AX, Master Data Services and proprietary software)
• Troubleshot data issues, workflow failures, and software behavior across systems
• Support daily operational workflows to ensure data accuracy and system reliability
• Assist with product releases, data migrations, and software updates by preparing and validating structured datasets
• Use data-wrangling tools such as Excel, Python, or R to process, transform, validate, and analyze large scientific datasets
• Write complex SQL queries to retrieve, analyze, and troubleshoot data across multiple databases.
• Build insightful Power BI dashboards and reports that help stakeholders visualize trends, identify issues, and make informed decisions.
• Support automation initiatives by helping build cleaner, more scalable workflows.
• Standardize, and validate scientific product information
• Transform raw data into Bio-Techne’s structured, compliant formatting
• Ensure consistency across complex scientific datasets and naming conventions
• Work within established SOPs to maintain high data integrity
• Perform multilayered QC checks to identify inconsistencies, errors, and missing data
• Validate large datasets against business rules and established automation checks
• Conduct peer reviews and help enforce high quality data standards, and data integrity data standards
• Partner with scientists, product managers, web teams, and other stakeholders to clarify data details and troubleshoot issues
• Communicate clearly about blockers, automation errors, or data anomalies
• Fulfill ad hoc requests for marketing and project management stakeholders

Benefits

• We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
• We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
• We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
• We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
• We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
• We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level