Biostatistician Analytics Specialist

4 days ago

Hyderabad, Telangana, India beBeeHealthEconomics Full time ₹ 1,20,00,000 - ₹ 1,80,00,000

KMK is a global analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

We deliver cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. Our data analytics and software platforms support data science, commercial operations, and cloud information management.

We have more than 180 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Job Description

We are seeking an experienced Health Economics & Outcomes Research Associate to join our team. This position will be responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.

  • Provide consultation on all aspects of 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, readily interpretable 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 are aware of project status.
  • Communicate research findings internally and externally, as appropriate (e.g., congresses, publications).
  • Ensure latest methodologies and analytical techniques are implemented.
  • Contribute to the continuing education of relevant line functions on RWE methodologies.
Required Skills and Qualifications

To succeed in this role, you will need:

  • Minimum MS in statistics, biostatistics, epidemiology, health economics and outcomes research, health policy, 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.
  • Ability to proactively identify new opportunities and solutions.
Benefits

You will enjoy:

  • A fast-paced and dynamic work environment.
  • The opportunity to work with a talented team of professionals.
  • A competitive compensation package.
  • Ongoing training and professional development opportunities.

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