Data Analyst - Advanced Analytics

ClearView Healthcare Partners, LLC

Gurgaon

Sur place

INR 600 000 - 900 000

Plein temps

14 jours+
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Résumé du poste

ClearView Healthcare Partners in Gurgaon, India is seeking a Data Analyst to accelerate our Data & Analytics practice. You will work with consulting staff and senior leadership to collect, analyze, and model life sciences data using SAS, SQL, R, and Python to solve complex client problems.

The role requires a Bachelor’s degree and 1–3 years of experience with health data (EHR/claims), proficiency with public datasets (PubMed/OpenTrials), and the ability to communicate insights to non-technical

Qualifications

  • Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or a related field.
  • 1–3 years of experience with insurance claims and EHR databases – IQVIA LAAD, Komodo Sentinel, Forian, Compile and others.
  • Experience with large data manipulation in SAS or SQL interfaces.
  • Experience with life science APIs & public datasets (PubMed, OpenTrials, CMS, CDC, etc.).
  • Experience in at least one of: Excel modeling; machine learning models; advanced regression; unsupervised learning; time series.
  • Role based out of Gurgaon, India office.

Responsabilités

  • Collect, clean, mine, and analyze data.
  • Serve as a knowledge resource for statistics, machine learning, and life sciences data.
  • Design and create advanced models to drive analytically driven strategy projects.
  • Innovate project approaches and identify new life sciences problems to solve with analytics.
  • Aid in team building by making code scalable through templates, macros, or interfaces.
  • Clearly communicate analytical techniques and findings from analyses in a non-technical manner.
  • Work in a high-performance, collegial, and collaborative environment.

Connaissances

Statistical analysis
Data interpretation
Independent thinking
Communication of findings

Formation

Bachelor’s degree in Statistics/Mathematics/Machine Learning/Physics or related field

Outils

SAS
SQL
R
Python

Description du poste

ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London, Zurich and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.

ClearViewHealthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City,Londonand Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is toinformactionable recommendations that allow companies to achieve their businessobjectives.

C learView’s Data & Analytics practice is looking for motivated individuals to join our team as Data Analysts to accelerate the continued growth of our capabilities. Members of the data team work closely with the consulting staff and senior leadership to solve complex and unique problems in the life sciences. The data analysts will leverage common tools (i.e., SAS, SQL, R, and Python), large data sets, and creativity to build models and processes to support ClearView’s clients.

Responsibilities

As a Data Analyst, you will interact with internal and external teams to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will:

  • Collect, clean, mine, and analyze data.
  • Serve as a knowledge resource for the consulting staff regarding statistics, machine learning, and life sciences data.
  • Design and create advanced models to drive analytically driven strategy projects.
  • Innovate project approaches and identify new life sciences problems to solve with analytics.
  • Aid in team building by making code scalable through templates, macros, or interfaces.
  • Clearly communicate analytical techniques and findings from analyses in a non-technical manner.
  • Work in a high-performance, strongly collegial, and collaborative environment.
Requirements

The successful candidate for the Data Analyst role must have the following skills and experience:

  • Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or a related field.
  • Relevant experience of 1-3 years working on insurance claims and EHR databases – IQVIA ( LAAD ) , Komodo ( Sentinel ) , Forian , Compile and othe rs .
  • Experience with large data manipulation in SAS or SQL interfaces.
  • E xperience with life science APIs & public datasets (e.g., PubMed, OpenTrials , CMS, CDC, etc.) .
  • Experience in at least one of the following areas :
  • Excel modeling (using a spreadsheet to make quantitative predictions based on a series of underlying assumptions).
  • Common machine learning models (e.g., neural networks, support vector machines, decision trees).
  • Advanced regression models (e.g., Bayesian, hierarchical, non-linear) .
  • Unsupervised learning.
  • Advanced time series.
  • Detail-oriented with the ability to dive deep into business processes, data, and analytics.
  • Independent , creative, and driven quantitative thinker.
  • Role is based out of our Gurgaon, India office.
What We Value

We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration.

Equal Opportunity Employer

ClearView Healthcare Partners ("CV") is an Equal Opportunity employer. All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

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