Position Summary

Data Scientist –Miner Suite Product Development Team for ConvergeHEALTH, Deloitte Consulting LLP

Data Scientist for ConvergeHEALTH, Deloitte Consulting

As a data scientist, you will be aligned to the product development team of the ConvergeHEALTH’s Miner platform. ConvergeHEALTH is a part of Deloitte Consulting’s Platforms practice, and supports the information-based transformation of healthcare by enabling healthcare and life sciences organizations to answer the “hard questions” in healthcare–what works, for whom, why, in what context, and at what cost?  ConvergeHEALTH Miner™ platform helps life science companies support their evidence strategies by providing enterprise data management and analytics capabilities for information generated throughout their evidence lifecycle from translational research to clinical trials to real world evidence (RWE).

You will be working with an innovative product development team to build and enhance the Miner platform and data analytic workflows needed to power insight generation, with a specific focus on developing advanced data science and statistical methodologies, and effectively integrating them into product development to demonstrate value for clients. 

We expect you to have:

A BA/BS in Biostatistics, Public Health, Epidemiology, Health Economics, Bioinformatics, or a related Quantitative field

3+ yrs. of hands on experience as data scientist 

Experience in languages commonly used for data science/statistics, such as Python or R

Experience with various methods for epidemiological studies (i.e. retrospective cohort study, case control study, confounder adjustments, regression models etc.) or HEOR methods (Comparative effectiveness analysis etc.) 

Working knowledge of health care datasets including electronic health records, claims, clinical data registries, genomics, patient generated health data etc.

Hands-on experience/projects involving real-world analytical problems using machine learning and solid understanding of statistical methods and modeling

Experience with SQL, Big Data and RDBMS (SQL Server, Postgres, etc.), with an emphasis on data wrangling and data exploration

Excellent problem identification, analysis and solving skills; an innate ability to utilize all resources at your disposal to find a creative solution to a problem, whether business/functional or technical in nature

Experience working in an Agile development environment

The ability to work well independently and as a team player

Excellent conversational and written communication skills

We’d love you to have:

A graduate degree in Epidemiology, Biostatistics, Health Economics, Bioinformatics, or a related Quantitative field 

Background in biology or medicine, either through education or through professional experience.

Experience with BI/analytics tools, such as Tableau, Qlikview or similar tools

Experience in cloud-based data science eco-systems such AWS, Azure or GCP for development and deployment of models

Experience with full suite of software lifecycle tools (Confluence, Jira, Stash, Jenkins, Artifactory, etc.)


Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Learn more about our commitment to developing our people.


As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 27452

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