NLP LLM Operations Architect & AWS Engineer, Healthcare & Life SciencesCompany: CitelineLocation: Remote, United StatesDate Posted: Sep 11, 2024Employment Type: Full TimeJob ID: R-547DescriptionCiteline is one of the world's leading providers of data and intelligence on clinical trials, drug treatments, medical devices and what's new in the regulatory and commercial landscape. Relying on us to deliver vital advantage when making critical R&D and commercial decisions, our customers come from over 3000 of the world’s leading pharmaceutical, contract research organizations (CROs), medical technology, biotechnology and healthcare service providers, including the top 10 global pharma and CROs.Now, Citeline is proud to be a part of Norstella, an organization that consists of market-leading pharmaceutical solutions providers united under one goal: to improve patient access to life-saving therapies. Within this organization, Citeline plays a key role in helping clients connect the dots from pipeline to patient.The Role:We are actively seeking a specialized NLP LLM Operations Architect & AWS Engineer well-versed in AWS and experienced with cutting-edge open-source Large Language Models (LLMs) like Llama and Qwen, and familiar with using frameworks like Hugging Face for model implementation. In this crucial role at Norstella you will be responsible for deploying scalable and efficient NLP technologies, ensuring high-performance integration and management of LLMs on cloud infrastructures. Your role will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma and accelerate treatment access to patients with unmet need.Responsibilities:
Design and oversee AWS cloud architectures optimized for advanced LLM usage, ensuring scalability and robustness of NLP applications.
Implement and maintain LLM-focused NLP projects from ideation through production deployment, emphasizing innovation in LLM capabilities like Llama3 and Qwen, and leveraging frameworks like Hugging Face.
Collaborate with data scientists, NLP engineers, cloud specialists, and software developers, ensuring effective implementation and integration of LLMs and Hugging Face tools.
Develop strategies for cloud-based NLP solutions that ensure cost-efficiency, security, and compliance while supporting rapid model experimentation and deployment using AWS and Hugging Face.
Maintain rigorous performance standards for LLM-based models, constantly seeking enhancements in model accuracy and operational efficiency.
Work closely with IT security to ensure stringent data protection standards are met in the deployment and operation of LLMs and related software on AWS.
Analyze computational resource utilization on AWS, optimizing for cost and performance throughout the lifecycle of LLM development and application.
Stay updated on the forefront of LLM technologies and tools like Hugging Face, alongside AWS advancements, bringing in industry-leading practices to maintain a competitive edge.
Regularly deliver impactful insights and updates to the relevant stakeholders, highlighting the strategic value and progress of NLP initiatives.
Explore emerging trends in NLP and LLM advancements, aiming to leverage new potential applications and improve existing systems.
Requirements:
Bachelor’s or Master’s in computer science, Data Science, or related fields, with a strong focus on NLP/LLM and cloud solutions.
Experience working in the healthcare or life sciences industry is a firm requirement.
Minimum of 2 years in NLP systems development and operations, including extensive experience with AWS and expert knowledge of LLMs such as Llama3 and Qwen and familiarity with implementation frameworks like Hugging Face.
Relevant AWS Certifications (e.g., Solutions Architect, Machine Learning Specialty, DevOps Engineer).
Expert proficiency in Python and familiar with advanced NLP frameworks and libraries.
Proven track record in the successful deployment of large-scale NLP solutions in the healthcare or life sciences industry, particularly those involving advanced LLM technologies.
Strong analytical and communication skills, adept at working on multiple projects in a dynamic environment.
Preferred Requirements:
Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA.
Experience in working with AWS cloud environment and large databases (e.g., AWS redshift).
Experience in managing ML lifecycle using open-source tools (e.g., MLflow).
Benefits:
Medical and Prescription Drug Benefits
Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
Dental & Vision Benefits
Basic Life and AD&D Benefits
401k Retirement Plan with Company Match
Company Paid Short & Long-Term Disability
Paid Parental Leave
Education Reimbursement
Paid Time Off & Company Holidays
Our Guiding Principles for success at Norstella:01: Bold, Passionate, and Mission-First02: Integrity, Truth, and Reality03: Kindness, Empathy, and Grace04: Resilience, Mettle, and Perseverance05: Humility, Gratitude, and LearningPlease Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.The expected base salary for this position ranges from $120,000 to $150,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we’re just as excited about you.All legitimate roles with Norstella will be posted on Norstella’s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] .Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.
