Senior Quantitative Scientist
Location
United States
Posted
2 days ago
Salary
$150K - $175K / year
Job Description
Role Description
As a Senior Quantitative Scientist working with our Life Science customer, you will help drive insights and consultative support on data products directly accessed by commercial partners.
- Report into the Data & Science department.
- Work with the Data & Science team, commercial services group, medical advisors, and the business development team.
- Help solve complex real-world problems across multiple therapeutic areas, including urology, ophthalmology, and oncology.
- Be a hands-on individual contributor on the Quantitative Sciences team.
- Design analyses using observational data to ensure robust conclusions.
- Work on commercial retrospective clinical studies leveraging EHR real-world data.
- Collaborate with customers to understand project objectives and stakeholder needs.
- Collaborate cross-functionally with teams to translate clinical investigation questions into detailed data analytics requirements.
Qualifications
- Master’s or doctorate in a quantitative discipline (e.g., biostatistics, epidemiology, health economics, etc.) or equivalent practical experience.
- 5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies.
- 5+ years working with life science/pharmaceutical/biotechnology organizations.
- Experience designing and executing research studies for life sciences.
- Strong familiarity with health data analytics tools, especially SQL, Python, R.
- Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm.
- Familiarity with pharmaceutical industry’s strategy and business processes.
- Ability to work effectively with cross-functional teams.
- Clear communication skills and able to deliver internal/external presentations.
- Ability to prioritize and manage multiple projects with high attention to detail.
Requirements
- Direct experience working with teams embedded with life science organizations (e.g., HEOR, medical affairs, commercial).
- Experience in collaborating directly with life science companies.
Benefits
- 100% health, vision, and dental coverage for employees.
- 401K Match.
- Flexible vacation plans.
- $700 learning and wellness annual stipend.
- Headspace meditation app access.
Job Requirements
- Master’s or doctorate in a quantitative discipline (e.g., biostatistics, epidemiology, health economics, etc.) or equivalent practical experience.
- 5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies.
- 5+ years working with life science/pharmaceutical/biotechnology organizations.
- Experience designing and executing research studies for life sciences.
- Strong familiarity with health data analytics tools, especially SQL, Python, R.
- Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm.
- Familiarity with pharmaceutical industry’s strategy and business processes.
- Ability to work effectively with cross-functional teams.
- Clear communication skills and able to deliver internal/external presentations.
- Ability to prioritize and manage multiple projects with high attention to detail.
- Direct experience working with teams embedded with life science organizations (e.g., HEOR, medical affairs, commercial).
- Experience in collaborating directly with life science companies.
Benefits
- 100% health, vision, and dental coverage for employees.
- 401K Match.
- Flexible vacation plans.
- $700 learning and wellness annual stipend.
- Headspace meditation app access.
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