Senior Evidence Analyst

1 day ago

Nagpur, Maharashtra, India beBeeDataScientist Full time US$ 80,000 - US$ 1,20,000

At the forefront of life sciences, we're a global data analytics and technology consulting company that empowers leaders to make informed decisions.

We support data science, commercial operations, real-world evidence, and cloud information management with our cutting-edge analytics platforms. By combining technical expertise with domain knowledge, we help businesses optimize their strategies and operations.

We deliver analytical guidance through SalesOps, our cloud-based sales planning and operations platform. Our team excels in managing data using the latest cloud information management and big data technologies.

Job Overview:

This role is responsible for the scientific and methodological aspects of observational database analytics and evidence synthesis with minimal supervision.

Key Responsibilities

  • Consult on internal RWE databases studies/analyses including objectives, study design, data source identification, protocol development, statistical analysis, and interpretation.
  • Execute RWE studies/analyses by SAS based on claim database, EMR database, registry data, and public used files.
  • Generate high-quality deliverables (e.g., data tables, graphs, charts, study reports).
  • Develop mock table shells, prepare specifications, and ensure quality control on analyses conducted by junior programmers.
  • Effectively manage and track all studies/analyses to ensure timelines are met and all stakeholders aware of project status.
  • Communicate research findings internally and externally, as appropriate (e.g., congresses, publications).
  • Implement latest methodologies and analytical techniques.

Requirements

  • Master's degree in statistics, biostatistics, epidemiology, health economics, and outcomes research, or similar.
  • At least 2 years' hands-on experience in observational data studies.
  • Professional programming skills with SAS. SQL and R programming experience are plus.
  • Excellent interpersonal communication and study management skills.
  • Ability to take detailed HE&OR study results and communicate them in a clear, non-technical manner to internal cross-functional teams.
  • Ability to work effectively in a constantly changing, diverse, and matrix environment.

Qualifications:

  • Positive attitude: Good candidates care about results and how they are used.
  • Good problem-solving/critical thinking skills: Good candidates understand problems clearly, ask the right questions, break problems down into hypotheses, and propose solutions in a coherent manner.
  • Solid programming and analytical skills: Good candidates demonstrate competence in applying statistical techniques and professional programming habits.
  • Good communication skills: Good candidates can take detailed study results and communicate them in a clear, non-technical manner to internal cross-functional teams.
  • Great time and task management: Good candidates estimate the amount of time needed to complete a task, communicate this to the team clearly, and deliver it on time.
  • Quick learning capability/Self-motivated: Good candidates can learn new technologies on their own.
  • Good team player

About Us

We bring together functional competencies in marketing science, market research, forecasting, and sales force effectiveness to provide fully integrated solutions that support our clients' commercial success.

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