Why Work at M&A?

Join a team that supports scientific excellence, dedication to quality work, and employee commitment to personal life, family, and community.

The fact that many employees have been with us for more than 20 years speaks for itself! The M&A team comprises both seasoned and early-career professionals, and newer staff benefit from the loyalty, commitment, and mentorship of our experienced staff members. Our work is important and our employees find it rewarding. Everything we do represents M&A, and employees take pride in our earned reputation for quality.

An Equal Opportunity Employer

M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law.

M&A Benefits

Health & Wellness

  • Medical Plans
  • Prescription Coverage
  • Dental Plans
  • Vision Plan
  • Employee Assistance Program

Financial

  • Competitive Salary
  • Paid time off and holidays
  • Paid parental leave where available
  • Employer-matching 401(k)
  • Flexible Spending & Health Reimbursement Accounts
  • Long- and Short-term Disability Insurance
  • Life / AD&D Insurance

Extras

  • Safety and technical training
  • Mentoring by senior professionals
  • Flexible work arrangements
  • Travel opportunities
  • Continuing education and professional development
  • Donation matching program

Cigna Machine Readable Files

Machine-readable files required by the federal Transparency in Coverage Rule are available here and include negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.