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Klick Health

Freelance Data Scientist, ad hoc

Posted 2 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Mid level
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Mid level
The Freelance Data Scientist will analyze healthcare and marketing data, providing insights and recommendations to clients while collaborating with various stakeholders.
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Company Description

The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.

About our Consulting Craft
Our Consulting Craft partners with clients on complex business and transformation challenges. The team applies strategic rigor to real-world problems. They help organizations navigate change with clarity and confidence. Their work drives meaningful, long-term impact.

Job Description

As a Freelance Data Scientist, this role supports Klick Consulting by converting complex healthcare, commercial, and marketing data into clear narratives and practical recommendations for clients. The role partners with data scientists, strategists, consultants, and senior stakeholders to define business questions, select appropriate methods, execute analyses, and communicate findings. This freelance position is based in Ontario, is 100% remote, and does not require travel.

Employment type: freelance
Target hours: ad hoc, 20 hours per week, more if possible

What You’ll Do

  • 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.

Qualifications

Required:

  • 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.

Additional Information

This posting is for a newly created role at Klick.

The base hourly rate for this position is between CAD $40/hour to $45/hour. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience. 

#LI-Remote #LI-ML1

Our Commitment to Inclusion

Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at [email protected] and we will work with you to meet your accessibility needs and ensure you have a positive experience.

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