Bioinformatics AI Specialist

5 days ago

Delhi, Delhi, India PharmSight Research and Analytics Full time

About PharmSight Research and Analytics

PharmSight Research and Analytics is a leading innovator in bio-pharma analytics, providing cutting-edge AI-powered solutions that transform product research, market intelligence, and healthcare decision-making. Our mission is to improve patient outcomes and drive advancements in the pharmaceutical industry through the application of advanced artificial intelligence.

Competitive Compensation

We offer best-in-class salary with structured career progression opportunities, ensuring you grow professionally and financially.

Flexible Work Environment

You have the option to work from anywhere at any time, allowing you to maintain a healthy work-life balance and be productive whenever it suits you.

Global Client Exposure

Collaborate with leading pharmaceutical companies on impactful projects, expanding your professional network and enhancing your expertise in the field.

Career Growth & Recognition

A flat hierarchy allows for ample opportunities for leadership and professional development, enabling you to take on new challenges and advance your career.

Job Overview

As an AI Developer/Engineer at PharmSight Research and Analytics, you will design, develop, and deploy generative AI applications using state-of-the-art large language models (LLMs). Your role demands a unique combination of technical expertise, creative problem-solving, and a passion for advancing AI technologies within the healthcare and pharmaceutical domains.

Key Responsibilities

  • Architect, implement, and optimize LLMs such as GPT, LLaMA, and BERT, tailoring them to the specific needs of bio-pharma analytics, product research, and market intelligence.
  • Experiment with diverse model architectures, hyperparameters, and training methodologies to maximize performance for targeted healthcare and pharmaceutical applications.
  • Fine-tune pre-trained models to address domain-specific challenges, ensuring exceptional accuracy, relevance, and contextual understanding.
  • Design and refine prompts to optimize LLM performance in generating accurate, insightful, and actionable outputs.
  • Develop instruction-tuning pipelines that align model behavior with specific business objectives and user requirements.
  • Continuously iterate on prompt strategies to enhance model interpretability and mitigate the risk of hallucinations or irrelevant outputs.
  • Conduct rigorous evaluations of LLMs using industry-standard metrics such as perplexity, BLEU, ROUGE, and domain-specific accuracy scores.
  • Perform in-depth error analysis, bias detection, and fairness audits to ensure models meet the highest ethical and regulatory standards.
  • Benchmark model performance against industry best practices and competitor solutions to maintain a competitive edge and drive continuous improvement.
  • Deploy LLMs into production environments, ensuring scalability, reliability, and low-latency performance to meet the demands of real-world applications.
  • Optimize models for inference speed and resource efficiency through techniques like quantization, distillation, and pruning.
  • Implement robust monitoring systems to track model performance in real-time and deploy timely updates to address drift or degradation in output quality.
  • Collaborate closely with data engineers and analysts to seamlessly integrate LLM outputs into our analytics platforms.
  • Leverage graph databases to enhance structured knowledge extraction from unstructured text.
  • Develop APIs and intuitive interfaces that facilitate seamless interaction between LLMs and other critical system components.
  • Remain at the forefront of LLM research, actively exploring advancements in areas such as few-shot learning, reinforcement learning from human feedback (RLHF), and multimodal models.
  • Prototype and rigorously test emerging techniques to enhance model capabilities and address novel challenges in the bio-pharma domain.
  • Contribute findings to open-source projects, publish research insights, and represent us in AI research communities.
  • Work collaboratively with cross-functional teams including data scientists, product managers, and domain experts, ensuring that LLM development is aligned with critical business goals.
  • Mentor junior developers and analysts, providing guidance on LLM techniques, coding best practices, and emerging trends in AI.

Requirements

  • Educational Background: Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, or a related field.
  • AI & ML Experience: 3+ years of hands-on experience in AI/ML development, with a strong focus on large language models (LLMs).
  • Expertise in Python and deep learning frameworks such as TensorFlow and PyTorch.
  • Solid understanding of prompt engineering, model optimization, and NLP techniques.
  • Healthcare/Pharma Knowledge: A solid understanding of healthcare data, bio-pharma industry dynamics, and regulatory requirements.
  • Analytical Mindset: Exceptional problem-solving skills with the ability to translate business needs into innovative AI-driven solutions.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams and explain complex AI concepts to non-technical stakeholders.
  • (Bonus Skill) Experience in MLOps (e.g., Docker, Kubernetes, CI/CD pipelines, model monitoring).
  • (Bonus Skill) Proficiency in cloud platforms (AWS, Azure, or GCP) for scalable AI deployment.
  • (Bonus Skill) Experience with knowledge graph construction and multimodal data integration (e.g., Neo4j, Entity extraction, nodes extraction).

Join Us

We offer a comprehensive benefits package and the opportunity to work on cutting-edge AI projects that are transforming the pharmaceutical industry. We are committed to fostering a collaborative and innovative work environment where you can grow your skills and make a real impact.

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