Field of studyComputer Science, Data Science, Mathematics, Statistics (or related)
Study levelBachelor's
Preferred qualifications
Study levelMaster's
Original posting
Pharmaceutical Strategies Group (PSG) relentlessly advocates for clients as they navigate complex and ever-changing drug cost management challenges. Our mission, as we partner together with our clients, is to develop innovative drug management solutions that deliver exceptional insights with financial and clinical value.
PSG, an EPIC Company, is fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day. For over 30 years PSG has been leading the way in pharmacy intelligence and growing as a result. This means we have opportunities for you to join our amazing team of talented individuals!
JOB OVERVIEW:
Artemetrx is PSG’s robust claims data and analytics platform that drives measurable financial results for clients through advanced healthcare data, reporting, and analytics. The Senior Data Analyst will support the continued evolution of Artemetrx by helping develop, implement, and scale analytical capabilities that improve client decision-making, identify opportunities for cost and utilization management, and support the next generation of AI-enabled drug management tools.
This role is designed for a highly analytical, curious, and technically capable individual who can work with a variety of healthcare data sets, including medical and pharmacy claims data, to uncover insights, build predictive models, and support data-driven solutions. The Data Analyst will partner with clinicians, analysts, consultants, product leaders, and technical teams to translate business questions into analytical approaches, prepare and analyze complex data, and communicate findings clearly to technical and non-technical stakeholders.
LOCATION: Remote - Anywhere in the continental U.S.
WHAT WE’RE LOOKING FOR:
At least 2+ years of healthcare and/or pharmaceutical claims analytics experience
Strong experience using SQL to write queries
Python or R experience, in particular experience building data analysis, machine learning, or forecasting models
Positive and outgoing disposition, eager to work as a team but also functions well working independently.
WHAT YOU’LL DO:
A detailed list of job duties includes (but is not limited to):
Support the development and maintenance of predictive, statistical, and machine learning models that address business and client needs across Artemetrx initiatives.
Analyze pharmacy and medical claims data as well as other healthcare data sets to identify trends, patterns, outliers, and opportunities that inform client strategy and improve health outcomes.
Prepare, clean, transform, and validate data sets to ensure accuracy, completeness, and usability for advanced analytics, reporting, dashboards, and model development.
Develop clean, reusable, and testable analytical code using established data team standards, libraries, and modules.
Support Artemetrx through maintenance of reference tables and other data sets used within the product.
Use programming languages such as SQL and Python to extract, manipulate, and analyze large and complex data sets.
Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to understand business problems, define requirements, and deliver actionable insights.
Document analytical methods, assumptions, data definitions, model logic, and results to support transparency, repeatability, and quality control.
Communicate analytical findings and recommendations through written summaries, presentations, dashboards, and stakeholder discussions.
Stay current with developments in healthcare analytics, data science, machine learning, artificial intelligence, and the pharmacy benefits management industry.
WHAT YOU’LL BRING:
Requirements
2+ years of experience in data science, analytics, statistics, healthcare analytics, informatics, or a related analytical role preferred.
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline required; master’s degree or relevant coursework preferred.
Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or similarly complex data sets
Working knowledge of SQL for data extraction, querying, and data manipulation.
Proficiency with Python or R for data analysis, statistical modeling, machine learning, or automation.
Foundational understanding of statistics, predictive modeling, supervised and unsupervised learning, regression, classification, clustering, forecasting, and model evaluation techniques.
Experience preparing, cleaning, validating, and analyzing raw data with a high degree of accuracy and attention to detail.
Ability to translate business questions into analytical approaches and communicate results in a clear, concise, and practical manner.
Strong problem-solving skills, intellectual curiosity, resourcefulness, and ability to learn new tools, methods, and healthcare concepts quickly.
Strong written and verbal communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
Demonstrated ability to work independently and as part of a cross-functional team while managing multiple priorities and deadlines.
Proficiency with Microsoft Excel, Word, Outlook, and PowerPoint. Advanced Excel skills a plus.
Ability for some travel, up to 10%.
Preferred Qualifications
Exposure to healthcare cost, utilization, clinical, pharmacy, PBM, or drug management analytics.
Experience with predictive modeling, time-series forecasting, claims analytics, anomaly detection, natural language processing, or AI-enabled reporting.
Familiarity with data privacy, data governance, HIPAA considerations, and secure handling of sensitive healthcare information.
Experience supporting dashboards, reporting automation, reusable analytical workflows, or model deployment processes.
COMPENSATION:
Exempt: The base salary range for this position is $110,000 – $140,000. This range represents the employer’s good faith estimate of the compensation for this role at the time of posting.
Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package.
WHY EPIC:
EPIC has over 60 offices and 4,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer:
Generous Paid Time off
Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
Generous employee referral bonus program of $1,500 per hired referral
Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!)
Employee Resource Groups: Women’s Coalition, EPIC Veterans Group
Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
We’re in the top 10 of property/casualty agencies according to “Insurance Journal”
EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.