Title: Senior Scientist, Analytical Projects - Device, Particle Size and XRPD Location: - Collegeville, Pennsylvania Hybrid Job Description: Site Name: USA - Pennsylvania - Upper Providence Job Title: Senior Scientist, Analytical Projects - Device, Particle Size and XRPD Job Purpose: You will join Analytical Projects focused on device, particle size, and X-ray powder diffraction (XRPD). You will design and run analytical experiments, develop methods, and interpret data to support product development and technical decisions. You will work closely with cross-functional teams including formulation, engineering, quality, and external partners. We value clear communication, curiosity, and practical problem solving. This role offers growth, meaningful impact, and the chance to unite science, technology and talent to get ahead of disease together. Key Responsibilities: - Develop and validate analytical methods for device characterization, particle sizing, and XRPD analysis. - Plan and perform experiments, collect high-quality data, and interpret results to inform project decisions. - Troubleshoot instrumentation and method challenges and propose practical, evidence-based solutions. - Prepare clear technical reports, maintain accurate laboratory records, and present findings to project teams. - Support root cause investigations and cross-functional projects to resolve technical issues. - Mentor junior colleagues, share best practices, and contribute to continual improvement of lab workflows. - Strong written and verbal communication skills for clear reporting and teamwork. Basic Qualifications: - Bachelor's degree in analytical chemistry, materials science, pharmaceutical sciences, or related discipline plus minimum 3 years of relevant laboratory experience; or Master's degree with minimum 1 year of relevant experience. - Experience with analytical instrumentation and data collection, such as PSD, XPRD. - Experience operating and maintaining laboratory instruments and performing method validation. - Experience with data integrity, safety, and good laboratory practices. Preferred Qualifications: - Master's or PhD in a relevant discipline. - Experience with device testing and characterization (e.g., inhalation devices, delivery systems, or related hardware). - Familiarity with microscopy, surface area analysis, or related solid-state characterization methods. - Experience in regulated environments or working with quality systems. - Practical knowledge of statistical analysis and data visualization tools. - Prior experience mentoring or training junior team members. Work Arrangements: This role offers a hybrid working model, with a mix of on-site and remote work. Remote or fully home-working arrangements are not available for this role. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Product Manager. In this role, you will shape how the organization leverages digital behavioral patterns of current and potential customers to drive engagement and insights. You will manage data sources, integrating and synthesizing them to create actionable customer segmentation and insights. This role is crucial for executing growth optimization strategies aimed at increasing digital utilization and retention, making you instrumental in achieving corporate goals for user engagement. - Lead product discovery and definition by collaborating with internal stakeholders and data providers. - Collaborate with engineering and data science teams to create production-class features. - Leverage expertise in behavioral data to craft tailored data views supporting engagement analysis. - Participate as a domain expert within the Customer Insights Data Product Family. - Collaborate on a metric and digital segmentation framework which drives user growth. - Coach analysts and data scientists on data potential and maintain proper documentation. Qualifications - 5 or more years of experience in mining digital behavioral data. - 3 or more years of experience in building products with data engineering complexities. - 3 or more years of experience defining and executing digital lifecycle metrics. - 3 or more years of experience in product management disciplines. - Ability to communicate complex concepts in simple, customer-centric ways. - Proven knowledge to achieve results in collaboration with engineering teams. - Basic SQL skills to independently explore data. Benefits - Flexible work arrangements. - Highly competitive base pay and performance bonuses. - Savings & Retirement benefits (401K and Defined Contribution). - Healthcare benefits with generous company contribution. - Adoption assistance. - Employee Assistance Programs. - Tuition assistance. - Fitness subsidies. - Charitable contribution match. - Employee Purchase Plan & discounts.

Name of the position: Data Scientist Location: Coimbatore/ Remote No. of resources needed : 01 Mode: Contract (6 Months with possible extension) Years of experience: 5+ Years Overview: We are seeking an experienced Data Scientist with expertise in AI, machine learning, and cloud-based technologies. The ideal candidate will design and deploy cutting-edge AI solutions using GenAI, FAST API, and services like AWS Lambda, SageMaker, or Microsoft AI Studio, while ensuring model scalability, accuracy, and seamless integration into business operations. Key Responsibilities: - Design, develop, and deploy AI and machine learning models using advanced frameworks and cloud services (AWS, GCP, or Azure). - Implement model versioning and monitoring to ensure data quality, reliability, and performance. - Stay current with latest research in Agentic AI, LLMs, and emerging AI technologies. - Collaborate with cross-functional teams to integrate AI solutions into business applications. - Build and maintain high-quality, secure, and scalable data pipelines to support AI initiatives. Qualifications: - 4+ years of experience in data science with a focus on AI and machine learning. - Strong programming proficiency in Python. - Hands-on experience with cloud-based services (AWS, GCP, or Azure). - Expertise in model versioning and monitoring tools. - Strong understanding of machine learning algorithms and production deployment practices. - Excellent problem-solving and analytical skills.

Develop and implement AI solutions using advanced techniques, design and deploy machine learning models to address business challenges, and collaborate with cross-functional teams to enhance overall efficiency and drive innovation.