Data Scientist - Market Access

CustomerInsights.AI; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

CustomerInsights.AI is seeking an analytics professional to join the Market Access team. You will analyze life sciences data to inform payer and channel strategies, and support decision-making with cross-functional teams.

Requirements include 4–6 years in market access analytics, a strong SQL background, and knowledge of payer datasets. You will guide 2–3 team members and interact with onshore counterparts to validate and deliver analyses.

Qualifications

• Education: Bachelor’s or Master’s in Life Sciences, Data Analytics, Economics, or related field.
• Experience: 4–6 years in market access analytics or related roles within life sciences.
• Technical: Proficiency in analytical tools and platforms such as SQL and other data processing tools.
• Domain: Knowledge of product insurance coverage, distribution models, SP and other account & payer level datasets.
• Analytical: Ability to work with large datasets to derive insights for payer contracting and healthcare coverage.

Responsibilities

• Leverage life sciences data to analyze product sales trends across sell-in and sell-out across channels.
• Collaborate with cross-functional teams to optimize payer and channel strategies based on insights.
• Conduct pre- and post-contracting analytics to evaluate impact of payer agreements on access and performance.
• Utilize account-level and patient-level data to analyze drug distribution and identify barriers and opportunities.
• Derive actionable insights to improve patient access and product uptake in line with payer policies.

Skills

SQL

Data wrangling

Market access

Payer datasets

Education

Bachelor's or Master's in Life Sciences/Data Analytics/Economics

Job description

CustomerInsights.AI is a global analytics and AI-driven company founded in 2018, focused on enabling better commercial decision-making for Life Sciences organizations. Our product ecosystem, including ciPARTHENON and ciATHENA, leverages Analytics Automation, Artificial Intelligence, and Machine Learning to deliver faster, actionable insights to key stakeholders. With teams across North America and India, we partner with organizations ranging from startups to large enterprises.

Position Overview: We are seeking a highly skilled and experienced Analytics professional to join our Market Access team. The ideal candidate will bring a strong background in life sciences data and possess expertise in market access analytics and patient analytics. This role requires a strong understanding of data wrangling, ETL processing with exposure to pharma datasets.

Key Responsibilities:

• Leverage life sciences data to analyze product sales trends across sell-in, sell-out across channels (Hospital, Clinic, SP, etc.,), coverage trends and payer dynamics
• Collaborate with cross-functional teams to optimize payer & channel strategies based on analytical insights.
• Conduct pre- and post-contracting analytics to evaluate the impact of payer agreements on product access and performance.
• Utilize account level and patient level data to analyze drug distribution and identify barriers and opportunities.
• Derive actionable insights to improve patient access and product uptake in alignment with payer policies.

Stakeholder Collaboration

• Work closely with internal teams including Market Access, Commercial, and Analytics to support strategic decision-making.
• Communicate findings effectively to non-technical stakeholders through clear reports and presentations.

Team Management

• Guide 2-3 team members in translating the requirements into day to day tasks
• Validation and delivery of work to onshore counterparts

Qualifications:

• Education: Bachelor's or Master's degree in Life Sciences, Data Analytics, Economics, or a related field.
• Experience: 4-6 years of experience in market access analytics or related roles within the life sciences industry.
• Technical Skills: Proficiency in analytical tools and platforms such as SQL and other data processing tools.
• Domain Expertise: Knowledge of product insurance coverage, distribution models, 867, CBK, SP and other account & payer level datasets.
• Analytical Skills: Proven ability to work with large datasets to derive meaningful insights, particularly in the context of payer contracting and healthcare coverage.

Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights for diverse audiences.