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 :
- Masters 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 skillsunderstands 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
Remote Work :
Yes
Employment Type :
Full-time
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 proj...
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 :
- Masters 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 skillsunderstands 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
Remote Work :
Yes
Employment Type :
Full-time
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