ZipRecruiter

Log In

2

Remote Clinical Data Management Jobs in Minnesota

Thrifty White Pharmacy

Remote PRN Clinical Pharmacist

MN · On-site +1

$50 - $60/hr

Training & development Remote PRN Clinical Pharmacist Coordinate and help manage clinical programs and initiatives, including but not limited to, Medication Therapy Management (MTM), Annual Wellness ...

Coloplast A/S

Medical Affairs Manager (Remote)

Minneapolis, MN · Remote

$190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Developing evidence roadmaps consisting of surveys, pre-clinical and clinical data, patient ... Excellent project management and organizational skills * High degree of initiative and self ...

Coloplast A/S

Medical Affairs Manager (Remote)

Minneapolis, MN · Remote

$190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Developing evidence roadmaps consisting of surveys, pre-clinical and clinical data, patient ... Excellent project management and organizational skills * High degree of initiative and self ...

Expleo

Azure Database Architect

Saint Paul, MN · Remote

$63.75 - $82.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Location: Fully Remote (St. Paul, MN) Employment Type: Full-Time / Contract-to-Hire ... Experience supporting Teradata Data Warehouse environments * Expertise with Azure SQL Managed ...

UnitedHealth Group

Data Analyst - Remote

Minnetonka, MN · On-site +1

  • Retirement

Responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends ...

previous page

Showing results 41-60

All JobsClinical Data Management JobsRemote Clinical Data Management JobsRemote Clinical Data Management Jobs in Minnesota

Remote Clinical Data Management information

What are some common challenges faced when managing clinical data remotely, and how can they be addressed?

Remote Clinical Data Management professionals often encounter challenges such as ensuring data integrity, maintaining secure access to sensitive information, and staying aligned with team workflows despite geographic separation. To address these issues, it's important to leverage validated electronic data capture (EDC) systems, follow strict data security protocols, and participate in regular virtual meetings for clear communication. Building strong relationships with cross-functional teams and staying proactive about regulatory updates also contribute to overcoming these remote work challenges.

What is remote clinical data management?

Remote clinical data management involves overseeing and maintaining the accuracy, integrity, and security of clinical trial data from a location outside of a traditional office or clinical site. Professionals in this field use digital tools and software to collect, validate, and analyze data gathered during clinical studies, ensuring regulatory compliance and high data quality. This role is essential for supporting drug development and medical research, and typically requires strong attention to detail, knowledge of data management systems, and understanding of clinical trial processes.

What are the key skills and qualifications needed to thrive as a remote clinical data manager, and why are they important?

To thrive as a Remote Clinical Data Manager, you need expertise in clinical data standards, database management, and regulatory compliance, typically supported by a degree in life sciences or a related field. Familiarity with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and certifications such as CDM (Certified Clinical Data Manager) are highly valuable. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for managing data integrity and collaborating with cross-functional teams remotely. These skills ensure accurate, compliant data collection and reporting, which are vital for successful clinical trials and regulatory submissions.

What are the most commonly searched types of Clinical Data Management jobs in Minnesota?

The most popular types of Clinical Data Management jobs in Minnesota are:

What are popular job titles related to Remote Clinical Data Management jobs in Minnesota?

For Remote Clinical Data Management jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Data Management jobs in Minnesota look for?

The top searched job categories for Remote Clinical Data Management jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Clinical Data Management jobs?

Cities in Minnesota with the most Remote Clinical Data Management job openings:

Remote Clinical Data Management jobs near you
Infographic showing various Remote Clinical Data Management job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Saint Paul, MN • Remote

$90 - $120/hr

Part-time

Posted 19 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply