Senior Data Scientist

Nexia; Massachusetts; On-site; USD 100,000 - 150,000; Full time

Job summary

A leading pharma-tech company is seeking a Senior Data Scientist to join their multidisciplinary team. This role involves designing machine learning models and collaborating with experts to drive impactful research in healthcare. Ideal candidates will have a PhD and extensive experience in data science within life sciences.

Qualifications

• PhD (or equivalent experience) in Data Science, Computational Biology, Bioinformatics, or Computer Science.
• 5+ years of hands-on experience applying machine learning in a research or industry setting.
• Strong background with large, complex datasets.

Responsibilities

• Design and implement machine learning and statistical models to analyze biomedical data.
• Partner with scientists and engineers to build analytical pipelines.
• Communicate findings to technical and non-technical stakeholders.

Skills

Machine Learning

Data Analysis

Statistical Modeling

Data Visualization

Communication

Education

PhD in Data Science or related field

Job description

Direct message the job poster from Nexia

Removing Recruitment Stress in Life Sciences - Director at Nexia

My client is an exciting pharma-tech company at the intersection of AI and healthcare, focused on accelerating the discovery and development of precision therapies to improve patient outcomes.

Operating at the cutting edge of computational science and oncology, they are building solutions that extract meaningful insights from complex biological and clinical data.

They are currently seeking a Senior Data Scientist to join their multidisciplinary team. This is an opportunity to contribute to impactful research and product development in a fast-paced, collaborative environment.

Responsibilities

• Design and implement machine learning and statistical models to analyse high-dimensional biomedical data.
• Partner with scientists, clinicians, and engineers to define data-driven strategies and build end-to-end analytical pipelines.
• Translate complex scientific questions into structured data science problems with actionable outcomes.
• Contribute to the development of novel algorithms and ensure reproducibility and scalability in analytical workflows.
• Communicate findings clearly to both technical and non-technical stakeholders through presentations and visualizations.

Requirements

• PhD (or equivalent experience) in Data Science, Computational Biology, Bioinformatics, Computer Science, or a related field.
• 5+ years of hands-on experience applying machine learning in a research or industry setting, preferably within healthcare or life sciences.
• Strong background in working with large, complex datasets, including both structured and unstructured data.
• Deep scientific curiosity and a passion for driving impact in human health.
• Excellent communication skills and the ability to thrive in a highly collaborative, interdisciplinary team.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research and Science

Industries

• Biotechnology Research
• Pharmaceutical Manufacturing
• Hospitals and Health Care