Build the next generation of forecasting & data science
Since 1988, RoadMap Technologies has engineered the Geneva Forecasting™ Engine, AI-powered planning software, and secure data pipelines for Fortune 500 and top life science teams. Join our team in Beverly, Massachusetts.
Careers · Beverly, Massachusetts
- Open role
- Associate ConsultantFull-time · Entry to early career
- Practice area
- Insight & AnalyticsData science, AI & forecasting
- Location
- Beverly, MA100 Cummings Center headquarters
- How to apply
- info@roadmap-tech.comSend Resume & Cover Letter
Position summary
RoadMap Technologies is seeking a motivated and talented Associate Consultant to expand our data science, AI, and analytics teams in Beverly, Massachusetts. As an Associate Consultant, you will work side by side with senior consultants, data scientists, and engineers on high-impact engagements across life sciences, healthcare, consumer goods, and enterprise supply chains.
Associates design, develop, and deliver quantitative analyses and machine learning workflows leveraging diverse enterprise data sources (including Protected Health Information (PHI), anonymized patient-level data, ERP, and supply chain systems) to generate actionable commercial and operational insights. On every engagement, you will learn the nuances of client business models, gather requirements, build and interpret statistical and AI/ML analyses in Python, R, and SQL, and present findings directly to project teams and client stakeholders.
You will sharpen your capabilities through structured formal and informal training as well as direct mentorship that challenges you to connect complex real-world business problems with rigorous data science and AI solutions.
Position responsibilities
- Comprehend client commercial and operational needs and interpret quantitative, statistical, and AI/ML model outputs to derive high-value business insights.
- Work side by side with our data science and analytics teams across multiple industries to deliver client engagements, automated daily reporting, and ad-hoc analytical methodologies.
- Develop a deep understanding of multi-industry business objectives, domain rules, and econometric, machine learning, and time-series forecasting processes.
- Build, validate, and interpret analytical models in Python, R, and SQL across complex datasets (including healthcare PHI/APLD, ERP, and supply chain feeds) to convey clear, concise, and actionable recommendations.
- Serve as a dependable point of contact for assigned project deliverables and internal team communications, helping clients achieve measurable forecasting and operational outcomes.
Position requirements & qualifications
Education
Bachelor's degree required; quantitative, data science, computer science, statistics, economics, business, or related fields preferred. Coursework or a minor in biology or life sciences is a plus.
Work experience
0 to 2 years of experience analyzing life science, healthcare, Protected Health Information (PHI), or patient-level data. Experience with life science Real-World Evidence (RWE) datasets is preferred.
AI, machine learning & programming
Hands-on experience or coursework in Python or R for data analysis, statistical modeling, machine learning (e.g., regression, tree-based models, time-series forecasting), and modern AI workflows. Familiarity with SAS or SPSS is also valued.
Data & BI platforms
Working knowledge of SQL for querying relational databases and data warehouses, plus experience with visualization tools such as Tableau or Power BI, and the Microsoft Office suite (especially Excel and PowerPoint) to communicate insights clearly.
Analytical & domain foundation
Demonstrated quantitative and statistical interpretation skills, strong logical problem-solving ability, and an understanding of how life science and patient data flow across the healthcare ecosystem (pharmaceutical manufacturers, specialty pharmacies, payers/HMOs, and providers).
Work authorization
Must be a U.S. citizen, Permanent Resident, or holder of a valid Employment Authorization Document (Form I-766).
About RoadMap Technologies
RoadMap Technologies is a trusted partner providing quantitative, AI, and analytical solutions that turn complex enterprise data into decisive action. With over 35 years of experience as a forecasting, data science, and analytics company, we work alongside multinational organizations across the globe to solve their most challenging planning problems through expert consulting, enterprise software, and secure data engineering.
Have questions about working at RoadMap?
Send your Resume and Cover Letter to info@roadmap-tech.com or reach out to learn more about our data science and analytics teams.