Senior Data Scientist at Abbott

Alameda, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical Devices, Diabetes CareIndustries

Requirements

Bachelor’s Degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering (preferred)
Advanced degree in Life or Physical Science, Bioengineering, Biostatistics, Biomedical Engineering, Epidemiology or closely related discipline (preferred)
Minimum 4 years work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software
Advanced analytics knowledge and application in the field of Statistics or Mathematical programming
Business acumen and experience with operational or strategic systems
Preferred Qualifications
Prior experience in real world evidence, health economics, or outcomes research, in the medical device/pharma/CRO industry
Proficiency in statistical software (e.g. R, Python) and familiarity with Databricks
Experience with machine learning and artificial intelligence

Responsibilities

Analyze large real-world datasets including device data, electronic health records (EHR), claims data, labs, and patient registries
Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
Prepare both structured and unstructured data for analysis
Examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client
Conduct advanced statistical analysis to determine trends and significant data relationships
Develop machine learning models to apply test data algorithms to future data
Validate models/analytical techniques, and develop algorithms to execute analytical functions
Work with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need
Proactively identify opportunities for significant operational, process or system level product improvements
Communicate model logic and restrictions
Work closely with the business to understand the domain and iteratively refine analyses
Transform analytical results into actionable recommendations for business partners using deep industry knowledge
Coach and mentor junior data scientists and provide technical/analytical guidance when needed
Provide input into developing departmental and site processes and procedures
Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc
Stay current with industry trends, regulatory requirements, and best practices in RWE and data science

Skills

Machine Learning

Statistical Analysis

Data Analysis

Data Cleaning

Python

SQL

EHR

Claims Data

Real-World Data

Model Validation

Abbott

Healthcare solutions in diagnostics and devices

About Abbott

Abbott Laboratories focuses on improving health through various medical technologies and health solutions. The company operates in areas such as cardiovascular health, diabetes management, diagnostic testing, nutrition, and neuromodulation for chronic pain and movement disorders. Abbott's products include advanced medical devices and diagnostic tests that help healthcare professionals and patients manage health conditions effectively. For example, their cardiovascular technologies assist in heart health management, while diabetes care products enable accurate glucose monitoring without painful fingersticks. Unlike many competitors, Abbott emphasizes accessibility and affordability in its offerings, aiming to make life-changing technologies available to a broader audience. The company's goal is to positively impact global health and well-being, supported by a commitment to sustainability and a 2030 Sustainability Plan.

Lake Bluff, IllinoisHeadquarters

1888Year Founded

IPOCompany Stage

HealthcareIndustries

10,001+Employees

Risks

Departure of key leader Dr. Adamson may affect Abbott's Heart Failure division.

Integration challenges with Medtronic could impact glucose monitor-insulin pump rollout.

Thermo Fisher's microfluidics expansion may increase competition for Abbott.

Differentiation

Abbott integrates continuous glucose monitoring with automated insulin delivery systems.

Abbott's microfluidic devices streamline diagnostic processes efficiently.

Abbott's neuromodulation products target specific nervous system areas for chronic pain relief.

Upsides

Microfluidic technology offers cost-effective solutions in diagnostics.

Strategic partnerships like Abbott-Medtronic enhance product offerings and market reach.

Significant investments indicate strong market confidence in Abbott's healthcare solutions.

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