
Senior Data Scientist
East Coast, United States
Apply by 30 Aug 2025
$90000 - $130000 per annum
Job Ref.: BH-55103
Job Description
Remote Role in USA (East Coast Time Zone)
Salary: $95,000 - $120,000
Use Your Data Science Skills to Drive Meaningful Impact in Global Healthcare We are working with a leading organization in the healthcare and life sciences sector that is on the lookout for a Senior Data Scientist to join their Medical Analytics and Innovation team. This is a unique opportunity to work with a group of highly skilled data scientists, analysts, and domain experts—applying cutting-edge technologies to help clients extract meaningful insights and improve medical outcomes.
You’ll take a hands-on approach to designing and implementing machine learning models, creating scalable analytical tools, and influencing high-level decision-making through data-driven storytelling.
What You’ll Do
- Lead data science projects from start to finish, delivering high-impact analytical solutions.
- Build and optimize machine learning and NLP models to tackle real business problems.
- Handle large, complex, and unstructured datasets from cloud environments (e.g., Azure Blob, AWS S3).
- Develop reusable tools for insight generation, performance benchmarking, and decision support.
- Collaborate across departments (analytics, engineering, medical strategy, and more).
- Present insights and recommendations to both technical and non-technical stakeholders.
- Design and implement scalable ETL pipelines and end-to-end analytics workflows.
- 5+ years of hands-on experience in data science, ideally within healthcare, life sciences, or pharma.
- Strong programming skills in Python, R, SQL, and experience with data visualization tools (e.g., PowerBI, Tableau).
- Deep understanding of AI/ML/NLP techniques and real-world applications (e.g., classification, clustering, entity recognition).
- Experience working with cloud platforms (AWS, Azure, GCP) and version control tools (Git, Bitbucket).
- Proficiency in working with unstructured data (e.g., PDFs, XML, TXT).
- Strong communication skills to explain complex ideas clearly and influence business decisions.
- A proactive, curious mindset and the ability to work both independently and collaboratively.
- Experience with Spark, TensorFlow, Hadoop, or Apache tools.
- Prior work in biotech, pharmaceuticals, or healthcare analytics.
- Understanding of the digital product lifecycle and software deployment best practices.