Looking for a career in life sciences data analytics? ClearView Healthcare Partners is hiring Data Analysts – Advanced Analytics for its Gurgaon office. This is an excellent opportunity for professionals with experience in healthcare databases, SAS, SQL, machine learning, and real-world evidence analytics to work with one of the leading life sciences strategy consulting firms globally.
Candidates with experience in insurance claims databases, EHR data, advanced analytics, and healthcare consulting can apply for this exciting opportunity.
About ClearView Healthcare Partners
ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, USA, with offices in San Francisco, New York City, London, Zurich, and Gurgaon. The company serves biopharmaceutical, medical device, and diagnostics organizations by providing strategic insights and data-driven decision support.
The company’s Data & Analytics practice leverages advanced analytics, machine learning, SAS, SQL, Python, and large healthcare datasets to solve complex business challenges for life sciences clients worldwide.
Job Details
| Particulars | Details |
|---|---|
| Position | Data Analyst – Advanced Analytics |
| Company | ClearView Healthcare Partners |
| Location | Gurgaon, Haryana, India |
| Job Type | Full-Time |
| Experience | 1–3 Years |
| Qualification | Bachelor’s Degree or Higher |
| Industry | Life Sciences Consulting |
| Department | Data & Analytics |
Key Responsibilities
As a Data Analyst at ClearView Healthcare Partners, you will:
- Collect, clean, transform, and analyze large healthcare datasets.
- Work with insurance claims and electronic health record (EHR) databases.
- Build advanced analytical models to support life sciences consulting projects.
- Apply machine learning and statistical methodologies to business problems.
- Support consulting teams with data-driven insights and recommendations.
- Develop scalable analytics solutions, templates, macros, and automation tools.
- Communicate analytical findings effectively to non-technical stakeholders.
- Identify innovative applications of analytics in pharmaceuticals, biotechnology, and healthcare.
Eligibility Criteria
Educational Qualification
Candidates should possess:
- Bachelor’s Degree or higher in:
- Statistics
- Mathematics
- Machine Learning
- Physics
- Data Science
- Computer Science
- Related quantitative disciplines
Experience Requirements
Applicants should have:
- 1–3 years of experience in healthcare analytics or life sciences consulting.
- Experience working with healthcare claims and EHR databases such as:
- IQVIA LAAD
- Komodo Sentinel
- Forian
- Compile
- Similar healthcare datasets
Technical Skills Required
Candidates should have strong experience in:
- SAS Programming
- SQL Development
- Python Programming
- Healthcare Data Analytics
- Real World Evidence (RWE)
- Healthcare Claims Data
- Electronic Health Records (EHR)
- Data Mining and Statistical Analysis
Experience in one or more of the following areas is preferred:
- Machine Learning Models
- Neural Networks
- Support Vector Machines
- Decision Trees
- Bayesian Regression
- Hierarchical Modeling
- Non-linear Regression
- Unsupervised Learning
- Advanced Time Series Analytics
- Excel Modeling
Additional Skills
- Strong quantitative and analytical thinking
- Problem-solving abilities
- Excellent communication skills
- Attention to detail
- Ability to work independently and collaboratively
Why Join ClearView Healthcare Partners?
Benefits of Working at ClearView
- Opportunity to work on global life sciences consulting projects.
- Exposure to advanced healthcare analytics and machine learning.
- Collaborative and high-performance work environment.
- Career growth in pharmaceutical and healthcare consulting.
- Hands-on experience with large-scale healthcare databases.
- Work alongside industry experts and senior consultants.
- International exposure across pharmaceutical, biotech, and medical device sectors.
Preferred Candidate Profile
The ideal candidate should possess:
- Passion for healthcare analytics.
- Strong statistical and programming capabilities.
- Interest in solving complex business problems using data.
- Experience handling real-world healthcare datasets.
- Ability to translate analytical findings into business insights.
How to Apply
