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Manager-Data Science

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Act as subject matter expert on the scientific and methods side of RWE projects

  • Draft research proposals and statistical analysis plans

  • Guide team members on cohort creation, comorbidity, line of therapy and cost analysis

  • Develop software and analytic solutions using SQL, Python and/or R

  • Deliver analytic products, client visualizations and presentations on schedule

From the employer’s posting
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
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.

What you’ll bring

All qualifications

Core experience

  • 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
Qualification wording
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
Education & alternatives
Qualifications • 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
• 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).
Apply at EVERSANA

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20265 days ago
Recorded sightings
6
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 5

Early. Similar jobs usually come down between day 7 and day 57.

At EVERSANA, jobs usually come down by about day 7.

From 10,553 similar postings that came down, and 31 of EVERSANA’s. Coming down is not always a hire.

EVERSANA is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 33% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • NumPy
  • pandas
  • scikit-learn
  • SciPy
Where the posting names them
• 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.
• 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

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

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.
 

Qualifications

• 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).

Additional Information

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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Company Description

Company Description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! 

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.  We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve.   We are EVERSANA.  

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Bengaluru, KA, India

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