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assoc dir data science market activation

<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
 
 
 
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 Functional R&amp;R
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 Be thought leader to our Business Engagement Leads and Marketing team to understand the business problem and provide consultative and analytical solution
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 Should have strong understanding of Pharma healthcare industry and therapy knowledge
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 Design &amp; build predictive models to forecast patient outcomes, such as readmission risk, disease progression, or response to treatment, enabling proactive care management.
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 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.
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 Identify &amp; define HCP segmentation and targeting, micro segmentation by content, call planning
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 Analyze longitudinal healthcare data to track patient journeys over time, providing insights into disease progression and treatment efficacy.
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 Ensure data solutions are interoperable across different healthcare systems and platforms, facilitating seamless data exchange and collaboration.
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 Collaborate with data engineering, data science &amp; IT teams to deliver business friendly dashboard &amp; reporting solutions
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 Evaluate the effectiveness of treatments and interventions by analyzing patient outcomes data to inform clinical decision-making and improve care quality
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 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
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 Provide thought leadership and data science best practices to the broader Data &amp; Analytics organization
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 Provide training &amp; coaching to internal stakeholders to enable a self-service operating model
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 Co-create information governance &amp; apply data privacy best practices to solutions
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 Continuously innovative on best practices &amp; technologies by reviewing external resources &amp; marketplace
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 People Management R&amp;R
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 Leadership Provide leadership, guidance, and mentorship to Senior Managers and Managers of analysts and data scientists. and create opportunities for professional growth.
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 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.
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 Recruitment Participate in the recruitment process by identifying talent needs, interviewing candidates, and making hiring decisions.
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 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.
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 Performance Management Set clear performance expectations, conduct regular performance evaluations, and provide timely feedback to team members being assertive and clear.
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 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.
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 Cross-functional Collaboration Collaborate with other departments and teams to ensure alignment on analytics initiatives and projects
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 Recognize Talent Create platform for talent showcasing and visibility. Reward and recognizing for their contributions
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 People Engagement Engage with team members, create speak up and cohesive culture
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 Business Management R&amp;R
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 Strategy Development Contribute to the development of the analytics strategy aligned with the overall business objectives.
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 Project Management Oversee the planning demand, execution, and delivery of analytics projects, ensuring they are completed on time and within budget.
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 Insights Delivery Ensure the delivery of actionable insights and recommendations to key stakeholders to drive business decisions.
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 Data Governance Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security.
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 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.
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 Continuous Improvement Identify opportunities for process optimization and efficiency gains within the analytics function.
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 Risk Management Identify and mitigate risks associated with analytics projects, such as data privacy and security risks.
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 Organization R&amp;R
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 Organization Vision Understand organization and leadership to map team strategy accordingly.
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 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.
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 Resource Allocation Allocate resources effectively to prioritize and support high-impact analytics projects.
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 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

Allo Health

<div>
 
 Assistant Manager &ndash; Operations (QSR / F&amp;B Background Preferred)
 
 
 Location:&nbsp;Hyderabad (On-ground role only)
 
 
 Experience:&nbsp;1&ndash;5 Years
 
 
 Compensation:&nbsp;Up to ₹8 LPA
 
 
 Company:&nbsp;Allo Health
 
 
 
 
 
 
 
 
 About Allo Health
 
 
 Allo Health is India&rsquo;s first digital health clinic focused on&nbsp;sexual wellness. We're building a new kind of healthcare experience&mdash;judgment-free, tech-enabled, and highly personalized. With clinics in multiple cities and rapid growth underway, we are looking for hands-on leaders who can manage ground-level operations with scale and precision.
 
 
 
 
 
 
 
 
 Role Overview
 
 
 We are looking for a self-driven and analytical&nbsp;Assistant Manager &ndash; Operations&nbsp;to join our Hyderabad team. This is an&nbsp;on-ground leadership role&nbsp;managing clinic performance, frontline staff, local marketing activations, and operational efficiency.
 
 
 We're especially interested in candidates with&nbsp;QSR (Quick Service Restaurant), cloud kitchen, F&amp;B, B2C operational experience or worked in similar roles, who are skilled in handling fast-paced environments and using&nbsp;data&nbsp;to drive decision-making.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 Team &amp; Clinic Operations
 
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 Oversee day-to-day operations across Allo clinics in Hyderabad
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 Lead field staff and manage scheduling, training, and task execution
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 Ensure compliance with SOPs and service quality standards
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 Clinic &amp; Doctor Coordination
 
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 Build strong relationships with clinical staff and doctors
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 Address and resolve operational or service escalations
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 Maintain a consistent and high-quality patient experience
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 Data-Driven Performance
 
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 Track and analyze KPIs (e.g. footfall, wait time, SLA, attendance)
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 Use Google Sheets/Excel to run reports and identify performance gaps
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 Present insights to central leadership with action plans
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 Marketing &amp; Brand Activation
 
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 Execute local marketing campaigns and in-clinic brand visibility
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 Work with the central team to roll out hyperlocal activations
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 Represent Allo at community events, partner locations, and activations
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 Business Expansion &amp; Field Insights
 
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 Identify new clinic locations and partnership opportunities
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 Monitor market trends and competitor activity
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 Support pilot initiatives and new location launches
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 Qualifications
 
 
 Must-Haves:
 
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 1&ndash;5 years in QSR, dark kitchens, cloud kitchens, F&amp;B chains, or similar field-based B2C roles
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 Strong data and performance analysis skills (Excel/Google Sheets)
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 Hands-on team and operations management experience
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 Based in Hyderabad with strong local knowledge
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 Own a 2-wheeler and valid driving license (mandatory)
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 Bonus:
 
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 Exposure to healthcare, wellness, or startup ecosystems
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 Experience in launching or scaling new outlets/locations
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 What We Offer
 
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 Competitive compensation up to ₹8 LPA
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 Opportunity to work at the intersection of&nbsp;healthcare and innovation
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 High ownership, fast growth, and a mission that matters
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 Work with a young, driven team building India&rsquo;s first sexual wellness brand
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 If you are interested, Please fill the below application form
 
 
 https://forms.gle/RN7ofAYrFEscGwT59
 
 
 
 
</div>

Assistant Operations Manager

GlobalData Plc

<div>
 
 
 About the Role
 
 
 
 GlobalData, a leading data, analytics, and insights platform for the world&rsquo;s largest industries, is looking for an experienced Business Analyst to join our Product Innovation team. In this role, you will help us build and refine our AI products by acting as a liaison between business strategy and technical execution. You will ensure every feature we build is not only technically sound but also directly addresses user needs and drives significant business impact.
 
 
 
 
 
 
 What You Will Do
 
 
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 Shape Product Requirements
 
 : Drive the discovery and documentation of business needs for our AI products. You will turn high-level ideas into detailed specifications, user stories, and acceptance criteria.
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 Serve as a Bridge
 
 : Act as the main point of contact between business teams and our engineering and data science teams. You will also work directly with Business Leaders, Product Managers, and Designers to ensure our products are useful, intuitive, and user-friendly.
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 Provide Strategic Insights
 
 : Conduct market and competitive analysis with a focus on AI trends (e.g., LLMs, Agents). Use data to inform product strategy and drive continuous improvement.
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 Measure Success
 
 : Define and track key metrics for our AI solutions. You will be responsible for reporting on product performance and making data-driven recommendations to leadership.
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 Champion the User
 
 : Run first-user tests and gather early feedback to validate features. You will ensure every new feature not only works but truly solves a problem for the end user.
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 Qualifications
 
 
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 Experience
 
 : 2-5 years as a Business Analyst, ideally in a B2B enterprise or startup in an AI-focused environment.
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 AI Acumen
 
 : A strong grasp of applying AI capabilities and frameworks, like LLMs and Agents, to products and features. Experience with AI projects (personal or professional) is a big plus.
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 Key Skills
 
 : Strong analytical and communication skills, a knack for creating clear requirements, and experience with Agile tools like Jira. Design thinking and basic/vibe coding skills will be your key differentiators.
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 Education
 
 : A bachelor's degree in Business, Computer Science, or a related field.
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 Commitment to D&amp;I and EEO:
 
 
 
 We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, GlobalData is proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favorable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
 
</div>

Business Analyst - Product Innovation

GlobalLogic

<div>
 
 Description
 
 
 
 GlobalLogic is looking for a skilled Data Analyst with 3&ndash;8 years of experience to support AI/ML data operations. The ideal candidate will have strong proficiency in SQL and Python, a solid understanding of data labeling metrics, and the ability to translate complex data into actionable insights. Excellent communication skills and a detail-oriented, self-starter mindset are essential.
 
 
 
 Requirements
 
 
 
 
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 Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.
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 3&ndash;8 years of hands-on experience in data analysis, ideally within AI/ML or data labeling environments.
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 Proficient in SQL and Python for data manipulation, analysis, and process automation.
 </li>
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 Solid understanding of data labeling workflows and evaluation metrics (e.g., accuracy, precision, recall, inter-rater agreement).
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 Strong analytical and problem-solving skills with the ability to interpret large datasets and generate actionable insights.
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 Excellent communication skills, capable of presenting findings to both technical and non-technical stakeholders.
 
 
 
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 </ul>
 Job responsibilities
 
 
 
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 Analyze large datasets (labeled &amp; unlabeled) to identify trends, anomalies, and labeling patterns to improve model performance and operational efficiency.
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 Design and maintain automated dashboards and reporting tools to track labeling quality, throughput, and trends.
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 Work closely with Client leadership to understand data needs and deliver actionable insights for model optimization.
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 Build and maintain scalable data pipelines for validation, aggregation, and visualization.
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 Apply data mining techniques to assess annotation consistency and inter-rater reliability.
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 Support AI data evaluation strategies through experimentation and iterative feedback.
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 Collaborate with cross-functional teams to improve annotation workflows and ensure metrics alignment.
 
 
 
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 </ul>
 What we offer
 
 
 
 Culture of caring.
 
 At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you&rsquo;ll experience an inclusive culture of acceptance and belonging, where you&rsquo;ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
 
 
 
 Learning and development.
 
 We are committed to your continuous learning and development. You&rsquo;ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
 
 
 
 Interesting &amp; meaningful work.
 
 GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you&rsquo;ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what&rsquo;s possible and bring new solutions to market. In the process, you&rsquo;ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
 
 
 
 Balance and flexibility.
 
 We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
 
 
 
 High-trust organization.
 
 We are a high-trust organization where integrity is key. By joining GlobalLogic, you&rsquo;re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
 
 
 
 About GlobalLogic
 
 
 
 GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world&rsquo;s largest and most forward-thinking companies. Since 2000, we&rsquo;ve been at the forefront of the digital revolution &ndash; helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
</div>

Data Analyst IRC267968

PepsiCo

<div>
 
 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
 
 
 
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 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
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 Active contributor to code &amp; development in projects and services
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 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
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 Partner with ML engineers working on industrialization.
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 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
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 Support large-scale experimentation and build data-driven models.
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 Refine requirements into modelling problems.
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 Influence product teams through data-based recommendations.
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 Research in state-of-the-art methodologies.
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 Create documentation for learnings and knowledge transfer.
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 Create reusable packages or libraries.
 </li>
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 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
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 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
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 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
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 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
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 Overall 2-4 years of experience working as a Data Scientist.
 </li>
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 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
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 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>
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 Fluent in SQL syntaxis.
 </li>
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 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
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 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 - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) - Experience in Databricks and ADF is desirable
 </li>
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 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>
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 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
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 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 Science Assoc Analyst

Novartis India

<div>
 
 Summary
 
 
 
 We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and deploy scalable machine learning models to address business challenges.
 </li>
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 Utilize NLP techniques to extract insights from unstructured text data.
 </li>
 <li>
 Implement graph neural networks to analyze relational data and uncover complex patterns.
 </li>
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 Conduct topic modeling to distill key themes from large datasets.
 </li>
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 Design, implement, and analyze experiments to inform data-driven decisions.
 </li>
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 Collaborate with cross-functional teams to identify, define, and solve challenging problems.
 </li>
 <li>
 Communicate findings and recommendations to stakeholders in a clear and concise manner.
 </li>
 <li>
 Continuously stay updated with the latest advancements in data science, machine learning, and related fields.
 
 
 </li>
 </ul>
 
 Required Qualifications And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Proven experience in machine learning, NLP, and generative AI.
 </li>
 <li>
 Proficiency in graph neural networks and topic modeling.
 </li>
 <li>
 Skills in deep learning architecture and training neural networks
 </li>
 <li>
 Strong programming skills in Python, R, or a similar language.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to communicate complex technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications And Skills
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in a relevant field
 </li>
 <li>
 Bachelor&rsquo;s from reputed college with keen desire to learn
 </li>
 <li>
 Experience in the design of experiments and statistical analysis.
 </li>
 <li>
 Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure).
 </li>
 <li>
 Strong project management and organizational skills.
 
 
 </li>
 </ul>
 
 Languages
 
 
 
 <ul>
 <li>
 English.
 
 
 </li>
 </ul>
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Data Scientist

HCLTech

<div>
 
 Greetings from HCL Technologie!
 
 
 
 
 
 
 About the Company
 
 
 
 HCL Technologies is a global technology company that helps enterprises reimagine their businesses for the digital age. Our mission is to deliver technology solutions that drive business transformation and create value for our clients.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a talented individual to join our team and contribute to our mission of delivering innovative technology solutions.
 
 
 
 
 
 
 Responsibilities
 
 
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 Bachelor&rsquo;s degree in Life Sciences, Computer Science, or related field.
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 6+ years of experience in clinical data testing and validation.
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 Perform UAT for CRF screens, database edit checks, and exceptional reports/listings.
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 Test clinical study setup configurations including protocol parameters, visit schedules, and form designs.
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 Validate external data acquisition (Lab, ECG, PK/PD) and ensure accurate processing.
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 Collaborate with Clinical Data Scientists and Study Data Managers to understand study scope and expectations.
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 Strong experience with clinical study setup and CDMS platforms and CTMS
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 Review edit check specifications; write and execute UAT scripts.
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 Conduct QC on metadata listings and peer review of programming checks.
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 Support automation tool validation and standardization of test scripts.
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 Ensure consistent use of clinical data standards across programs and repositories.
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 Work with Clinical Data Management Systems (e.g., Medidata Rave, Oracle InForm) to validate database builds and data flows.
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 Ensure compliance with GxP/GcP and internal SOPs.
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 Document and share study-related testing deliverables and lessons learned
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 Solid understanding of SDLC, validation methodology, and document management
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 Qualifications
 
 
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 Bachelor's degree in Computer Science or a related field.
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 Relevant certifications are a plus.
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 Location
 
 - PAN INDIA
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 The compensation package will be competitive and commensurate with experience.
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 HCL Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 
 
 
 Interested candidate please drop mail to "suganya.periyasamy@hcltech.com"
 
 
 
 
 
 
 Regards.
 
 
 Suganya Periyasamy
 
 
 
 
 
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Clinical Research Associate

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