Associate Specialist Data Science at Merck Sharp & Dohme Corp. /Netherlands

, , India -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

0.0

Posted On

21 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistics, Data Visualization, SQL, Python, Data Engineering, Data Analysis, Healthcare Analytics, Business Intelligence, Segmentation, Targeting, HCP Analytics, Patient Analytics, Data Interpretation, Model Development

Industry

Pharmaceutical Manufacturing

Description

Job Description Associate Specialist / Analyst - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who you are: · You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation · You are self-motivated, and have demonstrated abilities to think independently as a data scientist · You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand · You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture · You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities: Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications: · Bachelor’s degree with at least 1-3 years industry experience · Strong Python/R, SQL, Excel skills · Strong foundations of statistics and machine learning Preferred Qualifications: · Advanced degree in STEM (MS, MBA, PhD) · 2-3 years’ experience in healthcare analytics and consulting · Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) · Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) · Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Required Skills: Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Natural Sciences, Software Development, Stakeholder Relationship Management, Statistics, Waterfall Model Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 12/26/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The role involves translating business requirements into analytical problem statements and implementing solutions using SQL and Python. Collaboration with cross-functional teams to design and present findings to stakeholders is also a key responsibility.