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Pharmacy Data Analyst Remote Jobs in Rives Junction, MI

micro1 AI

Transactional Lawyer

Lansing, MI · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

FastTek

Product Designer

Jackson, MI · On-site +1

Remote on Mondays and Fridays most weeks. * The focus of the work will be to support SAP initiative ... Experience iteration -- Analyze product usage data and feedback to refine and improve existing ...

JLL

Sourcing Manager

Lansing, MI · Remote

Responsible for data integrity of contract database and other data management tools. * Ensure ... Location: Remote -Atlanta, GA, Charlotte, NC, Chicago, IL, Detroit, MI, Harrisburg, PA ...

JLL

Global Engineering Program Manager

Lansing, MI · Remote

$100K - $120K/yr

Remote, M-F 8:00 AM-5:00 PM with calls across all time zones for 24/7 support Travel Requirements ... Ability to analyze data and provide operational insights * Excellent written and verbal ...

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Pharmacy Data Analyst Remote information

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How much do pharmacy data analyst remote jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for pharmacy data analyst remote in Rives Junction, MI is $30.76, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $35.82 per hour, depending on experience, location, and employer.

What does a pharmacy data analyst do in a remote role?

A Pharmacy Data Analyst working remotely is responsible for collecting, analyzing, and interpreting pharmacy-related data to help improve healthcare outcomes and business operations. They work with large datasets from pharmacy claims, medication usage, and patient records to identify trends, ensure compliance, and support decision-making. Their work often involves creating reports, dashboards, and predictive models. Communication with pharmacy teams, IT, and other stakeholders is typically done via virtual meetings and collaboration tools.

What are the key skills and qualifications needed to thrive as a pharmacy data analyst remote?

To thrive as a Pharmacy Data Analyst (Remote), you need strong analytical skills, proficiency in data management, and a background in pharmacy, healthcare, or related fields, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Excel, Python, and pharmacy management software, as well as certifications such as Certified Pharmacy Technician (CPhT), is highly valued. Excellent communication, problem-solving abilities, and attention to detail are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate data-driven decision-making that improves pharmacy operations, patient outcomes, and regulatory compliance.

What are some common challenges faced by remote pharmacy data analysts and how can they be addressed?

Remote Pharmacy Data Analysts often encounter challenges such as maintaining effective communication with cross-functional teams, managing large and complex datasets securely, and staying updated with regulatory changes in the pharmaceutical industry. To address these, it's important to leverage robust collaboration tools, establish regular check-ins with stakeholders, and pursue continued education or certifications related to pharmacy data standards. Building strong routines for data documentation and security also ensures accuracy and compliance in your analyses.

What is the difference between Pharmacy Data Analyst Remote vs Pharmacy Data Coordinator?

AspectPharmacy Data Analyst RemotePharmacy Data Coordinator
Required CredentialsBachelor's in Data Science, Pharmacy, or related field; proficiency in data analysis toolsBachelor's in Pharmacy, Healthcare Administration, or related field; familiarity with pharmacy systems
Work EnvironmentRemote, independent data analysis tasks, often part of a larger healthcare teamOn-site or hybrid pharmacy settings, managing data entry and coordination
Employer & Industry UsageHealthcare organizations, pharmacies, insurance companiesPharmacies, healthcare providers, pharmacy benefit managers

The main difference is that Pharmacy Data Analysts Remote focus on analyzing pharmacy data remotely using specialized tools, while Pharmacy Data Coordinators handle data entry and coordination tasks within pharmacy settings. Both roles require healthcare knowledge, but analysts emphasize data interpretation and reporting, whereas coordinators focus on data management and operational support.

Pharmacy Data Analyst Remote jobs near you

Transactional Lawyer

micro1 AI

Lansing, MI • Remote

$90 - $130/hr

Part-time

Posted 14 days ago

Job description

Role Title: M&A Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the M&A department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including APAs and SPAs.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience working with private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

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