Statistical Methodology Data Scientist enhancing research methodologies at Roche. Supporting decision - making through expert guidance and collaboration with various teams in clinical research.
About the role
- Freelance Data Scientist supporting Klick Consulting by converting complex data into actionable insights. Collaborating with teams to drive meaningful impact in life sciences with creativity and innovation.
Responsibilities
- Design data science approaches that balance client business goals with statistical, technical, and data constraints.
- Python data analysis workflows using tools such as pandas, NumPy, matplotlib/plotly, scikit-learn, SQL, git, and GitHub.
- Analyze healthcare, marketing, commercial, clinical, or utilization data using methods such as natural language processing and free-text analysis, clustering, geospatial analysis, descriptive statistics, and predictive modeling.
- Translate technical findings into clear data stories, visualizations, and client-ready recommendations for cross-functional stakeholders.
- Support and own experimental design, data analysis workstreams, and documentation across consulting engagements.
Requirements
- Undergraduate degree in a computational, scientific, or health-related field, e.g., statistics, mathematics, bioinformatics.
- Demonstrated experience analyzing structured or unstructured data, including observable understanding of bias, error, confounding, power, and significance.
- Hands-on experience using Python data analysis tools such as NumPy, pandas, matplotlib, or scikit-learn, plus SQL for data extraction or analysis.
- Working familiarity with git, GitHub, and command-line workflows to document and collaborate on analysis scripts.
- Experience translating technical analysis into written or verbal recommendations for cross-functional stakeholders.
- Ability to independently scope, execute, and explain smaller analysis workstreams, while collaborating with data scientists, consultants, and strategists on larger projects.
- Practical experience using AI tools to accelerate technical work, including validation, maintainability, and reliability.
- Comfortable working with ambiguous or evolving business questions, making assumptions explicit, and adapting to new context.
- Desired: 3+ years of professional experience in analytics, data science, or applied research outside a purely academic context.
- Experience analyzing real-world data (RWD), e.g., healthcare administrative claims, EHR data, or clinical outcomes.
- Familiarity with AWS, Google Cloud Platform, Microsoft Azure, or other cloud-based analytics environments.
- Graduate degree in data science, statistics, bioinformatics, or a related quantitative field.
- Experience applying advanced analytic methods and technologies to answer business or clinical questions, such as natural language processing, hierarchical Bayesian modeling, Markov chain Monte Carlo, and generative AI.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist developing custom AI solutions by extracting insights from data at BDO. Collaborating cross - functionally to leverage advanced machine learning and data processing techniques.
Lead Data Scientist at McKesson focusing on Generative AI and ML solutions. Address complex healthcare challenges and drive business transformation via innovative technology.
Data Scientist responsible for ensuring reliability of ML models at Jobber. Collaborating closely with product teams and contributing to AI systems.
Data Scientist II responsible for developing innovative AI solutions and supporting data - driven strategies at Intact. Collaborating across departments to enhance data insights and recommendations.
LP
Senior Data Scientist – Wealth Management
LinkedIn Recruiter Post
Senior Data Scientist needed for Wealth Management in Toronto, ON. Lead AI/ML initiatives, drive insights for investment decisions and operations.
Senior Clinical Data Manager managing clinical trial data management processes with Precision for Medicine. Lead data management, ensure timelines and quality throughout clinical trials, requiring 8+ years of experience in the role.
Senior Clinical Data Manager managing clinical trial data from start to post lock. Overseeing quality control, timelines, and data entry processes for assigned projects.
Senior Data Scientist II optimizing delivery experience at Instacart. Identifying strategic opportunities and leveraging data to enhance customer satisfaction.
Senior Data Scientist responsible for developing statistical models at Pipe. Impacting small businesses' financial outcomes through advanced data - driven insights and collaboration.