Senior Data Scientist

• Focus on understanding existing models, assessing their performance, selecting optimal architectures, and fine-tuning them to meet specific domain and business needs-including retrieval-augmented generation (RAG) based applications.
• Collaborate closely with data engineering, product, and domain teams to translate real-world research challenges into scalable, model-driven solutions that accelerate vision of a digitally connected research data and technology fabric.
• Optimize and fine-tune large language models (LLMs) and domain-specific variants using proprietary datasets to achieve precision and recall targets that drive differentiated customer value.
• Evaluate model performance across key metrics and benchmarks, identifying strengths, weaknesses, and opportunities for improvement across predictive, generative, and retrieval-augmented tasks.
• Implement and operationalize LLM-based and retrieval-augmented (RAG) systems that enhance Braid-powered products such as Study Design and Site Feasibility.
• Collaborate with data engineering to ensure scalable, efficient model training, evaluation, and deployment pipelines using Databricks, MLflow, and Delta Lake.
• Assess and select models-open-source or proprietary-that best align with domain-specific requirements and Advarra's regulated research environment.
• Partner with clinical and operational experts to translate research and trial challenges into measurable model evaluation frameworks and optimization strategies.
• Conduct model interpretability and bias analyses to ensure fairness, transparency, and compliance with governance standards.
• Document methodologies and validation results to support internal governance, reproducibility, and audit readiness.
• Contribute to reusable fine-tuning workflows, evaluation frameworks, and model monitoring pipelines within the Braid AI stack.
• Stay at the forefront of advancements in LLM optimization, retrieval augmentation, and multi-modal learning, applying new methods that improve scalability, explain ability, and cost efficiency

• 5+ years of hands-on experience developing and fine-tuning ML or LLM models
• Demonstrated expertise in Python, with experience and knowledge of a commercial framework like PyTorch.
• Hands-on experience developing, managing, and troubleshooting workflows within Databricks for data engineering, analytics, and machine learning projects
• Documented strong understanding of the ML lifecycle
• Experience with embeddings and retrieval-augmented generation (RAG), * PhD in Machine Learning, Computer Science, or a related quantitative discipline.
• Previous experience excelling in a fast-paced, applied research setting where experimentation, iteration, and roadmap alignment are critical.
• Experience with causal inference, simulation modeling, or graph-based reasoning applied to clinical development or biomedical research.
• Hands-on fluency in Databricks notebooks for exploratory analysis, model development, and workflow orchestration.
• Curiosity for how AI training and inference performance impacts both user experience and downstream business value.
• Mindset of continuous learning, with the ability to bridge experimental work and high-value product applications., * MS in Machine Learning, Computer Science, or related quantitative discipline, or equivalent relevant work experience.

GlobalLogic estimates the starting pay range for this role to be performed remotely, and the salary range will be $130,000/yr to $140,000/yr and reflects base salary only. This pay range is provided as a good faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. What We Offer Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies. Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home. Professional Development: We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges. Excellent Benefits: We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, flexible spending accounts, and PTO and holidays. About GlobalLogic: GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise-we help our clients imagine what's possible, and accelerate their transition into tomorrow's digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business., A product development services company that specializes in chip-to-cloud software engineering.