Staff Data Scientist

4-6 years

$109,300 – $218,500

Alameda

10 Dec. 4, 2024

Job Description

Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Staff Data Scientist

Location: Alameda, California (Onsite)
Category: Research & Development
Employer: Abbott

About Abbott

Abbott is a global leader in healthcare, offering innovative solutions across diagnostics, medical devices, nutrition, and branded generic medicines. With 114,000 employees in over 160 countries, Abbott is committed to advancing health and improving lives.

Abbott Diabetes Care develops innovative technologies that help individuals manage diabetes effectively, using real-world data and machine learning to optimize device performance and treatment outcomes.

Role Overview

As a Staff Data Scientist, you will analyze real-world data to extract insights and develop machine learning models, driving the development and optimization of Abbott's diabetes care devices. This role involves collaborating with cross-functional teams to incorporate real-world evidence (RWE) into product development and lifecycle management.

Key Responsibilities

Data Analysis & Modeling:
- Analyze large datasets (e.g., device data, EHRs, claims, labs, and patient registries).
- Conduct RWE studies to understand treatment patterns, effectiveness, and disease burden.
- Develop and validate machine learning models for predictive analytics.
Advanced Analytics:
- Perform statistical analysis to identify trends and relationships in data.
- Apply techniques such as regression, clustering, forecasting, and neural networks.
- Adapt or create novel algorithms to meet analytical needs.
Collaboration & Communication:
- Present data insights to stakeholders in an intuitive and actionable manner.
- Work with clinical, medical, regulatory, and market access teams to integrate findings.
- Educate and mentor team members in analytics techniques.
Process Development:
- Contribute to improving departmental processes and best practices.
- Stay updated on industry trends and regulatory guidelines in data science and RWE.

Required Qualifications

Education:
- Bachelor’s degree in Life or Physical Sciences, Bioengineering, Biomedical Engineering, or equivalent experience.
Experience:
- 4–6 years of experience in data science or related fields.
- Proficiency in programming (Python, R, Java, Scala, or C++) and big data tools (Hadoop, Spark, MongoDB).
- Advanced knowledge of statistical and analytical methods.

Preferred Qualifications

Degree in Biostatistics, Epidemiology, or related disciplines.
Experience with RWE, health economics, or outcomes research in medical devices/pharma.
Familiarity with regulatory requirements for medical devices.
Publications or presentations in scientific forums.

Compensation & Benefits

Base Pay: $109,300 – $218,500 (location-dependent).
Health & Wellness: Free HIP PPO medical coverage (post-wellness assessment).
Retirement Savings: High employer contribution.
Career Development: Tuition reimbursement and pathways to higher education.
Recognition: A company celebrated for workplace diversity and inclusion.

For detailed benefits, visit Abbott Benefits.

Apply Now to join a collaborative team and make a meaningful impact in transforming healthcare through data-driven innovation.

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Staff Data Scientist

Job Description

Job Title: Staff Data Scientist

About Abbott

Role Overview

Key Responsibilities

Required Qualifications

Preferred Qualifications

Compensation & Benefits

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