analytical development scientist Jobs in Hyderabad

analytical development scientist

data scientist

analyst - data science

assoc. dir, data science market activation Jobs in Hyderabad

assoc. dir, data science market activation

data analyst i

senior data scientist

Turing

<div>
 A prominent US client is seeking Data Scientists to join their team. As a Data Scientist, you will play a critical role in conducting thorough peer code reviews, providing insightful feedback, and collaborating closely with researchers and stakeholders to align with project goals.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Write Python code to analyze public datasets and extract valuable insights.
 </li>
 <li>
 Communicate effectively with researchers to stay aligned with company objectives.
 </li>
 <li>
 Develop clear, well-documented code using Jupyter notebooks.
 </li>
 <li>
 Utilize public data sources (e.g., Kaggle, UN, US Government) to address business-related queries.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.
 </li>
 <li>
 Strong proficiency in Python for data science and data analysis.
 </li>
 <li>
 Comprehensive understanding of data science methodologies.
 </li>
 <li>
 Fluent in spoken and written English.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 Collaborate with top experts worldwide and expand your professional network.
 </li>
 <li>
 Enjoy remote work flexibility.
 </li>
 <li>
 Competitive global-standard salary in USD.
 </li>
 <li>
 Contribute to projects pushing the boundaries of technology, keeping you at the forefront of AI advancements.
 
 
 </li>
 </ul>
 
 Selection Process
 
 
 
 <ul>
 <li>
 Shortlisted developers may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Data Scientist

PepsiCo

<div>
 
 
 Location: Hyderabad and Gurgaon.
 
 
 
 
 
 
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science &ndash; Hands on experience and strong knowledge of building machine learning models &ndash; supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills &ndash; Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) &ndash; Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
 
 
</div>

Data Scientist

Enterprise Minds, Inc

<div>
 
 Data Scientists / Data Visualization Experts (Python) &amp; Data Engineers
 
 
 
 
 
 📍
 
 Location:
 
 Remote (Work from Anywhere)
 
 
 💼
 
 Experience:
 
 8&ndash;10 years
 
 
 
 
 
 ⚡
 
 Proficiency Level:
 
 Lead / Senior (Production-level coding)
 
 
 
 About the Role
 
 
 
 We are looking for highly skilled
 
 Data Scientists, Data Visualization Experts (Python), and Data Engineers
 
 to join our team on a
 
 remote contingent project
 
 . This role is focused on building high-quality
 
 datasets and visualizations for LLM (Large Language Model) training
 
 .
 
 
 You will play a critical role in:
 
 <ul>
 <li>
 Designing and creating advanced
 
 visualizations
 
 .
 </li>
 <li>
 Replicating dashboards from existing images.
 </li>
 <li>
 Conducting
 
 insight evaluation
 
 and prompt creation.
 </li>
 <li>
 Writing
 
 production-grade Python code
 
 for scalable data workflows.
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 data pipelines
 
 and visualization assets.
 </li>
 <li>
 Build dashboards and replicate designs from provided visuals.
 </li>
 <li>
 Perform
 
 data wrangling, cleaning, and transformation
 
 for ML readiness.
 </li>
 <li>
 Apply strong
 
 analytical reasoning
 
 to extract meaningful insights.
 </li>
 <li>
 Ensure production-quality code for
 
 scalable and reliable solutions
 
 .
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 
 Python
 
 : pandas, matplotlib, plotly, bokeh, dash
 </li>
 <li>
 
 Data wrangling &amp; transformation
 
 </li>
 <li>
 
 Data visualization &amp; dashboarding
 
 </li>
 <li>
 
 Data engineering workflows
 
 </li>
 <li>
 Strong
 
 analytical and problem-solving skills
 
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 8&ndash;10 years of hands-on experience in
 
 Data Science / Data Engineering / Data Visualization
 
 .
 </li>
 <li>
 Ability to operate at a
 
 lead level
 
 and deliver production-ready code.
 </li>
 <li>
 Strong communication and collaboration skills in a
 
 remote team environment
 
 .
 </li>
 </ul>
 
 
</div>

ProPharma

<div>
 For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality &amp; compliance, pharmacovigilance, medical information, and R&amp;D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners&rsquo; most high-profile drug and device programs.
 
 
 
 Job Summary
 
 
 
 The Pharmacovigilance (PV) Scientist supports the activities in the Benefit Risk group by ensuring that day-to-day operational activities are completed. The PV Safety Scientist is expected to be professional and diligent and liaise with the director and management group members within the team on any issues, as well as coordinate the work with the senior PV Scientists. The PV Safety Scientist is also expected to lead by example and ensures quality standards are upheld within the company.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Authoring of Aggregate reports (PSURs/PBRERs, PADERs/Annual Reports/ ACO/ DSUR) for submission to local and other Health Authorities.
 </li>
 <li>
 Authoring of Risk Management Plans (RMPs) as a part of regular Pharmacovigilance activities.
 </li>
 <li>
 Authoring of Signal Management Reports.
 </li>
 <li>
 Performing literature search and validity check for the aggregate reports.
 </li>
 <li>
 Reconciliation of relevant process trackers.
 </li>
 <li>
 Extraction and validation of data (RSI, Sales, previous reports, RMP, signals).
 </li>
 <li>
 Generation of Line Listings (LL) from safety database
 </li>
 <li>
 </li>
 <li>
 Providing reliable support for high priority Ad-hoc activities.
 
 
 </li>
 </ul>
 
 Necessary Skills And Abilities.
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills.
 </li>
 <li>
 Sound organizational skills
 </li>
 <li>
 Able to work within a team in an open and professional manner
 </li>
 <li>
 Excellent attention to detail and focus on quality
 </li>
 <li>
 Understanding of ICH-GCP, FDA, EMA and other relevant Global regulations related to PV
 </li>
 <li>
 Demonstrable ability to analyze and quantify large volumes of data in a concise and scientific manner, in keeping with regulatory deadlines.
 </li>
 <li>
 Awareness of global culture and willingness to work in a matrix environment
 </li>
 <li>
 Knowledge in other pharmacovigilance processes, ability to author/update SOPs or WIs, to identify and author deviations/CAPAs."
 </li>
 <li>
 Ensuring that deliverables to the clients comply with the relevant regulatory requirements and are sent to the client within agreed timelines.
 </li>
 <li>
 Capability to make concise, accurate and relevant synopses of medical text and data, and the ability to write unambiguous medical text
 </li>
 <li>
 Computer proficiency, IT skills, expertise and an ability to work with web based applications, and familiarity with the Windows Operating system and the MS Office suite (Word/Excel/Power Point)
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Bachelor/master&rsquo;s degree in pharmacy, Nursing, Life Science, or other health-related field, or equivalent qualification/work experience
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in Pharmacovigilance with a focus on medical writing and/or literature search and/or signal detection
 </li>
 <li>
 Experiences in contributing to the compilation of metrics and participating in discussions about quality internally and with Clients
 </li>
 <li>
 Experience in literature screening activities and/or experiences in authoring and reviewing aggregate reports
 
 
 </li>
 </ul>
 We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.
 
 
 ***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***
</div>

Pharmacovigilance Safety Scientist

Bristol Myers Squibb

<div>
 
 Working with Us
 
 
 
 Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
 
 
 Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
 
 
 
 Senior Manager, Clinical Scientist
 
 
 
 
 Job Title
 
 
 
 Senior Manager, Clinical Scientist
 
 
 
 Division
 
 
 
 R&amp;D / Global Drug Development
 
 
 
 Functional Area Description
 
 
 
 The Clinical Scientist function provides scientific expertise necessary to design and deliver clinical studies and programs.
 
 
 
 Position Summary / Objective
 
 
 
 <ul>
 <li>
 Will be responsible for design and execution of assigned clinical trial activities and work closely with clinical team members within the assigned project to execute activities associated with the conduct
 </li>
 <li>
 May serve as Clinical Trial Lead for one or more trials
 </li>
 <li>
 May lead or support trial level activities for one or more trials with the necessary supervision
 </li>
 <li>
 May co-lead study team meetings in partnership with GDO protocol manager and collaborate with cross-functional study team members
 
 
 </li>
 </ul>
 
 Position Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate and liaise with external partners (e.g., KOLs)
 </li>
 <li>
 Seek out and enact best practices with instruction
 </li>
 <li>
 Provide regular and timely updates to manager/management as requested
 </li>
 <li>
 Develop Protocol and ICF documents / amendments and present these to governance committee and development team meetings as required
 </li>
 <li>
 Conduct literature review
 </li>
 <li>
 Submit clinical documents to TMF
 </li>
 <li>
 Develop site and CRA training materials and present these at SIVs and Investigator meetings
 </li>
 <li>
 Review clinical narratives
 </li>
 <li>
 Monitor clinical data for specific trends
 </li>
 <li>
 Develop Data Review Plan in collaboration with Data Management
 </li>
 <li>
 Ensure CRF design adequately supports data collection in alignment with the protocol in collaboration with Data Management/Programming
 </li>
 <li>
 Submit clinical contributions to clinical study reports (CSRs) and clinical portions of Regulatory Documents (e.g., IB, DSUR, PSUR, Orphan Annual Reports, HA, EC, IRB responses and contribute to regulatory submission.)
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 <ul>
 <li>
 Degree in Life Sciences (MD, PhD, Pharm D, MS, RN or other scientific field preferred). MD-Pharmacology preferred
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 Basic knowledge of GCP/ICH, drug development process, study design, statistics, clinical operations
 </li>
 <li>
 Ability to understand assigned protocol(s) and their requirements
 </li>
 <li>
 Basic knowledge skills to support program-specific data review and trend identification
 </li>
 <li>
 Intermediate medical writing skills and medical terminology
 </li>
 <li>
 Basic planning/project management skills (develop short range plans that are realistic and effective)
 
 
 </li>
 </ul>
 
 Key Competency Requirements
 
 
 
 <ul>
 <li>
 Detail-oriented with commitment to quality
 </li>
 <li>
 Basic knowledge of disease area, compound, current clinical landscape
 </li>
 <li>
 Basic knowledge of the establishment and operation of data monitoring committees, dose review teams, and independent response adjudication committees
 </li>
 <li>
 Intermediate critical thinking and problem-solving skills
 </li>
 <li>
 Adaptable / flexible (willing and able to adjust to multiple demands and shifting priorities; ability to meet day-to-day challenges with confidence and professionalism)
 </li>
 <li>
 Intermediate skills in Microsoft Word/Excel/PowerPoint and data review tools (e.g., Pt Profiles, report generating tools)
 
 
 </li>
 </ul>
 
 Travel Required
 
 
 
 Domestic and International travel may be required.
 
 
 If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
 
 
 
 Uniquely Interesting Work, Life-changing Careers
 
 
 
 With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
 
 
 
 On-site Protocol
 
 
 
 
 Responsibilities
 
 
 
 BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
 Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
 BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
 
 
 BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
 
 
 BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
 
 
 If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
 Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
 
 
</div>

Senior manager, Clinical Scientist

PI Health Sciences Ltd

<div>
 
 
 Job Title: Research Scientist &ndash; Process R&amp;D
 
 
 
 
 Department:
 
 R&amp;D &ndash; Process Development
 
 
 
 Industry:
 
 CDMO / API
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Responsibilities
 
 
 <ul>
 <li>
 Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
 </li>
 <li>
 Contribute to technology differentiation strategies that enhance the CDMO&rsquo;s scientific credibility and client value proposition.
 </li>
 <li>
 Collaborate with cross-functional teams (Analytical, QA/QC, Regulatory) to support integrated drug development solutions.
 </li>
 </ul>
 
 
 2. Operational Responsibilities
 
 
 <ul>
 <li>
 Perform route scouting, literature search, and develop robust and scalable chemical processes using QbD principles.
 </li>
 <li>
 Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
 </li>
 <li>
 Prepare and review technical reports, SOPs, and technology transfer documents.
 </li>
 <li>
 Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
 </li>
 <li>
 Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.
 </li>
 </ul>
 
 
 3. Financial Responsibilities
 
 
 <ul>
 <li>
 Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
 </li>
 <li>
 Support cost estimation activities during project proposals or client RFQs by providing technical insights.
 </li>
 </ul>
 
 
 4. People &amp; Collaboration Responsibilities
 
 
 <ul>
 <li>
 Guide junior team members on experimental planning, data interpretation, and documentation best practices.
 </li>
 <li>
 Promote a culture of safety, learning, and innovation within the team.
 </li>
 <li>
 Work closely with Program Management and Business Development to align project goals with customer expectations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 M.Sc ( Organic Chemistry)
 </li>
 <li>
 3&ndash;9 years of experience in Process R&amp;D, preferably in CDMO organizations
 </li>
 <li>
 Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
 </li>
 <li>
 Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation
 </li>
 </ul>
 
 
</div>

Research Scientist

<div>
 
 Job Description
 
 
 
 
 Associate Director, Data Science
 
 
 
 As an Associate Director in Data Science Market Activation , you will be focused to lead our data science team and drive the development and implementation of innovative data-driven strategies. This role is critical to shaping our data science initiatives, building advanced analytical models, and collaborating cross-functionally to enhance decision-making processes across the organization.
 
 
 Associate Director is expected to lead a function of data scientist. Is accountable for business delivery, growth, value realization and strategy. Availability in office is MUST and Expected to lead on below aspects.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Functional R&amp;R
 </li>
 <li>
 Be thought leader to our Business Engagement Leads and Marketing team to understand the business problem and provide consultative and analytical solution
 </li>
 <li>
 Should have strong understanding of Pharma healthcare industry and therapy knowledge
 </li>
 <li>
 Design &amp; build predictive models to forecast patient outcomes, such as readmission risk, disease progression, or response to treatment, enabling proactive care management.
 </li>
 <li>
 Strong subject matter expertise in Data Science and Statistical Models, Experience to drive patient, HCP, Payer and Consumer related analytics. Strong hands on with US datasets, IQVIA, Komodo, Epsilon, McKesson and others. MUST have experience in new launch analytics and GTM strategy.
 </li>
 <li>
 Identify &amp; define HCP segmentation and targeting, micro segmentation by content, call planning
 </li>
 <li>
 Analyze longitudinal healthcare data to track patient journeys over time, providing insights into disease progression and treatment efficacy.
 </li>
 <li>
 Ensure data solutions are interoperable across different healthcare systems and platforms, facilitating seamless data exchange and collaboration.
 </li>
 <li>
 Collaborate with data engineering, data science &amp; IT teams to deliver business friendly dashboard &amp; reporting solutions
 </li>
 <li>
 Evaluate the effectiveness of treatments and interventions by analyzing patient outcomes data to inform clinical decision-making and improve care quality
 </li>
 <li>
 Should be hands on with Python, SQL, Databricks, Dataiku and other platforms. Should have product mindset to build process and analytical solution as enterprise products
 </li>
 <li>
 Provide thought leadership and data science best practices to the broader Data &amp; Analytics organization
 </li>
 <li>
 Provide training &amp; coaching to internal stakeholders to enable a self-service operating model
 </li>
 <li>
 Co-create information governance &amp; apply data privacy best practices to solutions
 </li>
 <li>
 Continuously innovative on best practices &amp; technologies by reviewing external resources &amp; marketplace
 </li>
 <li>
 People Management R&amp;R
 </li>
 <li>
 </li>
 <li>
 Leadership Provide leadership, guidance, and mentorship to Senior Managers and Managers of analysts and data scientists. and create opportunities for professional growth.
 </li>
 <li>
 </li>
 <li>
 Team Culture Foster a collaborative and inclusive team environment, encouraging knowledge sharing and professional growth, timely connect with associates and respect for opinion from all.
 </li>
 <li>
 </li>
 <li>
 Recruitment Participate in the recruitment process by identifying talent needs, interviewing candidates, and making hiring decisions.
 </li>
 <li>
 </li>
 <li>
 Capability Building Develop training programs and initiatives to enhance the skills and capabilities of team members in alignment to their career aspiration and organizational demand and scalability.
 </li>
 <li>
 </li>
 <li>
 Performance Management Set clear performance expectations, conduct regular performance evaluations, and provide timely feedback to team members being assertive and clear.
 </li>
 <li>
 </li>
 <li>
 Career Development Work with team members to define career goals and create development plans to support their advancement within the organization in alignment with their aspirations.
 </li>
 <li>
 </li>
 <li>
 Cross-functional Collaboration Collaborate with other departments and teams to ensure alignment on analytics initiatives and projects
 </li>
 <li>
 </li>
 <li>
 Recognize Talent Create platform for talent showcasing and visibility. Reward and recognizing for their contributions
 </li>
 <li>
 </li>
 <li>
 People Engagement Engage with team members, create speak up and cohesive culture
 </li>
 <li>
 Business Management R&amp;R
 </li>
 <li>
 </li>
 <li>
 Strategy Development Contribute to the development of the analytics strategy aligned with the overall business objectives.
 </li>
 <li>
 </li>
 <li>
 Project Management Oversee the planning demand, execution, and delivery of analytics projects, ensuring they are completed on time and within budget.
 </li>
 <li>
 </li>
 <li>
 Insights Delivery Ensure the delivery of actionable insights and recommendations to key stakeholders to drive business decisions.
 </li>
 <li>
 </li>
 <li>
 Data Governance Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security.
 </li>
 <li>
 </li>
 <li>
 Performance Measurement Define key performance indicators (KPIs) and metrics to measure the effectiveness of analytics initiatives and track progress against business goals. Measure P&amp;L of the function.
 </li>
 <li>
 </li>
 <li>
 Continuous Improvement Identify opportunities for process optimization and efficiency gains within the analytics function.
 </li>
 <li>
 </li>
 <li>
 Risk Management Identify and mitigate risks associated with analytics projects, such as data privacy and security risks.
 </li>
 <li>
 Organization R&amp;R
 </li>
 <li>
 </li>
 <li>
 Organization Vision Understand organization and leadership to map team strategy accordingly.
 </li>
 <li>
 </li>
 <li>
 Stakeholder Engagement Build and maintain relationships with key stakeholders across the organization to understand their analytics needs and priorities. Brand HHDDA services and support to help them scale business initiatives.
 </li>
 <li>
 </li>
 <li>
 Resource Allocation Allocate resources effectively to prioritize and support high-impact analytics projects.
 </li>
 <li>
 </li>
 <li>
 Budget Management Develop and manage the analytics budget, ensuring resources are allocated efficiently and cost-effectively.
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 Communication Communicate analytics findings, insights, and recommendations effectively to non-technical stakeholders in a clear and concise manner.
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 Change Management Lead change management efforts related to the adoption of analytics tools, processes, and methodologies within the organization.
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 Compliance Ensure compliance with relevant regulations and industry standards related to data analytics and privacy.
 
 
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 Required Experience And Skills
 
 
 
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 12+ years relevant experience in data Science, consulting, analytics and data modelling with storytelling and people management
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 Working experience and knowledge in pharma dataset leveraging, Python, SQL, DataBricks DataIKU and other data science technologies
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 Working experience and knowledge in ETL process, data modeling techniques &amp; platforms
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 Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) &amp; data processing languages (SQL, Python, R, etc.)
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 Experience in leveraging and managing third party vendors and contractors
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 Self-motivation, proactivity, and ability to work independently with minimum direction
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 Excellent interpersonal and communication skills
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 Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively
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 Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity
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 Experience in Pharma and or Biotech Industry is a plus
 
 
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 Our Human Health Division maintains a &ldquo;patient first, profits later&rdquo; 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&rsquo;s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
 
 
 Current Employees apply HERE
 
 
 Current Contingent Workers apply HERE
 
 
 
 Search Firm Representatives Please Read Carefully
 
 
 
 Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; 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
 
 
 
 Not Applicable
 
 
 
 Shift
 
 
 
 
 Valid Driving License
 
 
 
 
 Hazardous Material(s)
 
 
 
 
 Required Skills
 
 
 
 Analytics Strategy, Business Intelligence (BI), Business Management, Communication, Database Design, Data Engineering, Data Governance, Data Modeling, Data Science, Data Visualization, Key Performance Indicators (KPI), Machine Learning, Management Process, Marketing, Organizational Performance Management, People Management, Performance Measurement, Project Management, Resource Allocation, Self Motivation, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Waterfall Model
 
 
 
 Preferred Skills
 
 
 
 
 Job Posting End Date
 
 
 
 09/30/2025
 
 
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 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.
 
 
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 Requisition ID
 
 R365230
</div>

Assoc. Dir, Data Science Market Activation

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