Klick Health

Data Scientist

Job description

About Klick Health
Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick!

The Klick Applied Sciences team is seeking a Data Scientist with strong analysis and communication skills to join our growing team.

The Team
The Klick Data Science team supports our clients on multiple fronts including: commercial and marketing analytics and optimization; healthcare utilization and clinical outcomes analysis; novel AI/ML applications in digital health; creating and maintaining data products and repositories.

To learn more about the team, visit https://appliedsciences.klick.com

Job Description
The ideal candidate will have some research experience with either an advanced degree or work experience outside a pure academic context. They will work with cross-functional teams to define business problems, determine the right data and methods for the job, build and execute analyses, and present results to cross-functional stakeholders.


    • Find innovative ways of balancing business goals with statistical, technical, and data constraints
    • Work effectively with other data scientists, strategists, and senior leaders on all phases of work, from pitching new business to delivering results
    • Brainstorm new ideas, design experiments, collect and explore data, visualize and communicate findings, and translate technical results into business contexts
    • Write and document analysis scripts in Python and SQL, collaborating through git and GitHub
    • Extract insights from data using methods such as natural language processing, segmentation and clustering, geospatial analysis, hierarchical Bayesian modeling, Markov chain Monte Carlo, decision trees, and deep neural networks
    • Help guide the structure and objectives of data science projects
    • Present results to the team, organization, and clients


    • Undergraduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field
    • Solid understanding of statistics and experimental design
    • Demonstrated experience in working with data, including understanding of bias, error, confusion, power, and significance
    • Familiarity with industry-standard languages and tools for data analysis, preferably the Python ecosystem (numpy, pandas, matplotlib, scikit-learn) and SQL
    • Working familiarity with git and the command line
    • Strong written and verbal communication skills, with the ability to convert technical results into data stories
    • Ability to work independently on smaller projects as well as collaborate with data scientists, engineers, developers, consultants, and strategists on larger projects
    • Demonstrated aptitude for continual learning and growth


    • 1+ years of professional experience in analytics or data science
    • Experience in analyzing medical claims and EHR data
    • Familiarity with AWS or Google Cloud Platform
    • Graduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field
We welcome examples of prior work in data mining, visualization, and/or using data to inform decisions and impact business. Please feel free to share GitHub repositories, Kaggle profiles, or any other examples of work you're proud of.

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 colour, 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 careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.

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