Research Associate (Remote)

M3USA

Research Associate (Remote)

Fort Washington, PA
Full Time
Paid
  • Responsibilities

    Job Description

    Research Associates are entry-level analysts who form the project team foundation for client engagements. They are responsible for a wide range of activities from data acquisition to analysis and summarization for client presentations. This position will:

    • With clear guidance identify and acquire project data.
    • Build datasets from secondary sources and/or primary research for project-specific modeling including cleaning, restructuring and validating data. Primary research projects include instrument design, survey QC and testing, as well as analysis and reporting.
    • Conduct prescribed analysis accurately.
    • Identify potentially meaningful findings and significant insights from analysis.
    • Fill data holes as needed to support conclusions.
    • Prepare simple charts, graphs and supporting report materials for assigned project areas, write key findings.
    • Summarize findings clearly and contribute to internal discussions.
    • Identify ways to work more efficiently.
    • Abide by firm operating procedures and client policy requirements including pharmacovigilance.

    Research Associates must work both independently and as part of a project team to deliver high quality, error-free work in an efficient manner; report to Consultants, Managing Consultants and/or Executives during the course of an engagement; and work simultaneously on multiple client engagements, demonstrating solid project management skills.

    Illustrative data modeling/statistical analyses include general linear models, linear, non-linear and logistic regression analyses; decision tree analysis (CHAID and C&RT); latent class modeling and clustering algorithms; econometric modeling; experimental design and hypothesis testing; ANOVA analysis; survival analysis; time series and forecasting.

    Typical engagements include; market identification, sizing and prioritization studies; epidemiology studies; new product uptake and demand forecasting; patient flow and journey analysis; market structure analysis; customer segmentation; account potential and performance evaluation; customer targeting; marketing and sales promotion response measurement; resource allocation modeling; and uncovering marketplace insights.

  • Qualifications

    Qualifications

    • Master’s degree in biostatistics, statistics, epidemiology, economics, mathematics, engineering, operations research, health informatics or related quantitative field from an elite institution, including Ivy League institutions, with a strong academic record.
    • Relevant work experience as a teaching or research assistant while pursuing an advanced degree or during summer internships is preferred.
    • Demonstrated analytical skills—understands the advantages and limits of different analytical approaches and studies and their findings including regression, significance testing, clustering algorithms and modeling techniques.
    • Strong analytic and quantitative reasoning and enjoy problem solving.
    • Exposure to healthcare, econometric or statistical large scale data set management and analytics in classroom or internship setting.
    • Successful candidates will have excellent interpersonal skills. They must be able to communicate complex ideas effectively - both verbally and in writing, work well on teams demonstrating leadership qualities, and handle multiple commitments and frequent deadlines.
    • Capable of collaborating with client teams members from varied functional areas including market research, business analytics, marketing and market science.
    • Familiarity with healthcare industry stakeholders, issues and events preferred.
    • The ideal candidate will have a genuine passion for applying innovative analytics to solve real-world business problems.
    • Proficiency in MS Office products required, experience developing Excel-based spreadsheets with macros and visual basic. Experience with statistical packages is highly desired, e.g., SPSS, SAS, R, or STATA.
    • Exposure to Big Data and Business Intelligence tools e.g., SQL, Vertica, Hadoop, Hive, Spark, Tableau; with fundamental understanding of data management principles and programming experience.

    Additional Information

    A career opportunity with MAC offers competitive wages, and benefits such as:

    • Health and Dental
    • Life, Accident and Disability Insurance
    • Prescription Plan
    • Flexible Spending Account
    • 401k Plan and Match
    • Paid Holidays and Vacation
    • Sick Days and Personal Days

    *M3 reserves the right to change this job description to meet the business needs of the organization

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