Data Scientist

Job Title: Data Scientist in the life sciences space (Remote, Try/Buy Opportunity) Job Type: Contract-to-Hire (Try/Buy) Location: Remote (US-based) Salary: 150K to 180K About the Opportunity: A fast-growing consulting and technology firm specializing in data-driven solutions for the clinical research, biotechnology, and life sciences industries is seeking a skilled Data Scientist for a unique try/buy engagement. This role offers the chance to showcase your expertise in real-world, high-impact projects before converting to a permanent position. As a Data Scientist, you will work closely with cross-functional teams—including clinical experts, data engineers, and product managers—to design, build, and deploy models and analytics solutions that accelerate research, optimize clinical trials, and support data-driven decision-making in regulated environments. Key Responsibilities: • Design and execute complex SQL queries, views and functions for large-scale data analysis and reporting. • Develop, fine-tune, and implement NLP and LLM-based solutions, such as document summarization, text classification and semantic search. • Build robust data pipelines and AI/ML workflows using Python (Pandas, Scikit-learn, Transformers, etc.). • Leverage AWS services (e.g., Lambda, SageMaker, S3, Glue) for model training, deployment, and data orchestration. • Work with PostgreSQL to store, create views, create functions, query, and model structured data efficiently. • Translate technical findings into actionable insights for business stakeholders in a clear, concise manner. • Convert complex business needs into technical designs and machine learning applications, collaborating closely with product, engineering, and business teams. • Monitor model performance, run A/B tests, and iterate on NLP and LLM models. • Stay updated on the latest developments in NLP, generative AI, and machine learning. Required Qualifications: • 3+ years of experience in a data science, artificial intelligence, machine learning role. • Advanced SQL proficiency, including performance tuning and complex joins. • Strong Python coding skills, with hands-on experience in NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). • Demonstrated experience working with and integrating into LLMs (e.g., OpenAI GPT, Cohere, Claude) and prompt engineering. • Experience developing and deploying NLP models for tasks such as named entity recognition, sentiment analysis, summarization, or question answering. • Proficiency with AWS cloud services, especially SageMaker, Lambda, Glue, and S3. • Strong working knowledge of PostgreSQL and relational databases. • Proven ability to translate business goals into technical solutions and present results to non-technical audiences. Preferred Qualifications: • Master’s in Computer Science, Data Science, Computational Linguistics, or a related field. • Experience with MLOps and model lifecycle management. • Familiarity with orchestration and pipeline tools (e.g., Airflow, MLflow). • Experience integrating NLP and LLM models into production systems or customer-facing tools. • Strong data visualization and storytelling skills using tools like Tableau, Power BI, or Plotly. What We Offer: • A unique try/buy engagement: the opportunity to demonstrate your skills during a contract phase before potential full-time hire. • Fully remote work with flexible scheduling. • The chance to contribute to cutting-edge projects that impact patient outcomes and accelerate scientific innovation. • A collaborative team environment at the intersection of data science and life sciences.