Manager-Data Science

Eversana1; Bengaluru; Presencial; INR 2.500.000 - 4.000.000; Jornada completa

Descripción de la vacante

EVERSANA in Bengaluru seeks an experienced Manager - Patient Analytics to lead patient analytics projects for pharmaceutical clients, delivering robust analytical solutions and guiding a team through RWE analyses.

The role requires hands-on work with patient-level data, stakeholder engagement, and development of software solutions using SQL, Python, and/or R. Strong communication and leadership are essential to drive timely, high-quality outcomes for diverse projects.

Formación

• 7-12 years of experience in data analytics and modeling, preferably around healthcare claims data and commercial analytics in the life science industry.
• Practical knowledge of statistics, statistical inference, and machine learning algorithms (deep learning, LSTM, SVM, CNN, GAN, and reinforcement learning)
• Hands-on experience with SQL, Python, (pandas, scikit-learn, numpy, scipy) and R, visualization tools, and software development within a Linux environment
• Deep commercial awareness of the healthcare, health technology and pharmaceutical industry
• Knowledge of real world data sources (EHR/EMR data, RWD, claims databases) and RWD supply chain
• Experience with healthcare industry terminology and coding (NDC11, ICD9/ICD10, HCPCS, CPT, LOINC)
• MS PowerPoint presentation development and client interfacing skills
• Bachelor/Master education in relevant fields and experience in life sciences analytics

Responsabilidades

• Act as SME to determine scientific and methodological aspects of RWE projects.
• Draft and edit research proposals and statistical analysis plans.
• Guide team in RWE analysis components (cohort creation, cost analysis, etc.).
• Develop data mining, statistical, and machine learning models to extract insights.
• Develop software solutions using SQL, Python, and/or R.
• Review and deliver analytic products for projects and proposals.
• Develop visualizations and client presentations.
• Interface with EVERSANA analysts, clinicians, managers and customers.
• Deliver projects within defined timelines.
• Respond to ad-hoc analysis requests.

Conocimientos

SQL

Python

R

Machine learning

Statistics

Data visualization

Educación

Bachelor's degree in Engineering

Master's degree in MBA preferred

Epidemiology/Biostatistics/Biolinformatics/Statistics

Herramientas

Pandas

Scikit-learn

NumPy

SciPy

MS PowerPoint

Descripción del empleo

Job Overview: Manager - Patient Analytics

We are looking for an experienced professional to lead patient analytics projects, working closely with pharmaceutical clients to deliver robust analytical solutions. The ideal candidate should have strong technical expertise, hands‑on experience with patient-level data, and the ability to engage directly with clients while guiding a team.

Key Responsibilities

• Act as a subject matter expert to determine scientific and methodological aspects of RWE projects.
• Independently draft and edit high quality research proposals and statistical analysis plans.
• Guide team members with components of RWE analysis, such as, cohort creation, target/control creation, comorbidity analysis, adverse reactions, line of therapy, cost analysis, provider and payer analysis, KOL segmentation and targeting etc., based on clinical knowledge of disease area.
• Develop and apply data mining, statistical, machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets.
• Develop software solutions and applications using SQL, Python, and/or R.
• Responsible for review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs.
• Support the development of visualizations and presentations for client deliverables.
• Interface with EVERSANA analysts, data scientists, clinicians, program managers and with EVERSANA customers.
• Responsible for the development and delivery of projects within defined timelines.
• Respond to additional ad‑hoc analysis requests.

Job Requirements

• 7-12 years of experience in data analytics and modeling, preferably around healthcare claims data and commercial analytics in the life science industry.
• Practical knowledge of statistics, statistical inference, and machine learning algorithms (deep learning, LSTM, SVM, CNN, GAN, and reinforcement learning)
• Hands‑on experience and proficiency in SQL, Python, (pandas, scikit‑learn, numpy, scipy) R, visualization tools, and software development within a Linux environment
• Deep commercial awareness of the healthcare, health technology and pharmaceutical industry, gained through experience
• High level of knowledge and analytic experience with real world data sources (e.g., EHR/EMR data, RWD, healthcare prescription / claims databases) as well as comprehensive understanding of the RWD supply chain and reimbursement policies
• Expertise in healthcare industry terminology and coding (e.g. NDC11, ICD9/ ICD10, HCPCS, CPT, LOINC)
• Works independently and is a self‑starter
• MS PowerPoint presentation development skills
• Client interface and presentation skills
• Ability to lead by example
• Strong organizational skills, including ability to manage multiple deliverables across multiple projects
• Significant consideration will be given to prior publications, independent software projects completed, and non‑proprietary code authored by the candidate.
• Bachelor's degree (preferably in Engineering) from a reputed institution, with strong experience in life sciences and claims data analytics.
• Degree in any of the following majors: Epidemiology, Biostatistics, Bioinformatics, Statistics, or similar
• Master's degree (MBA) from a recognized institution is preferred

Expectations

• Hours (40 Hours per week, 5 days of the week) - Shift Timing: 11:30 AM to 8:30 PM IST (fluid based on requirement).

All your information will be kept confidential according to EEO guidelines.

Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e‑mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

From EVERSANA's inception, Diversity, Equity & Inclusion have always been key to our success.

We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry.

Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one's identity.

All of our employees' points of view are key to our success, and inclusion is everyone's responsibility.

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