This role pays less than
78%
of similar roles. Most pay
$139,875–$202,487
— the shaded band above.
At the midpoint, this role pays about
$130k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
Employer
About Abbott
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has
90 open roles
on FindRole.
Listed pay typically runs
$99,300–$198,700
across 89 roles with salary data.
Senior Data Scientist (Computational Biophysicist) joins the Core Labs Dx Division to transform complex data into actionable insights for diagnostic solutions used in hospitals and clinics. This role involves leading advanced analytics and machine learning initiatives, where the candidate will collect, clean, and transform structured and unstructured data to develop predictive algorithms and analytical strategies. The position requires building models for protein sequence and structure while performing statistical analysis to identify trends within large datasets. Key technical requirements include proficiency in Python, Bash, C++, Linux/Unix, and big data systems like Hadoop, Spark, MongoDB, Docker, Kubernetes, and AWS. The role addresses critical challenges in computational biology, biophysics, molecular dynamics, and bioinformatics to improve products and processes. Additionally, the candidate will mentor junior staff and communicate complex technical findings to diverse audiences.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.
Python
IBM watsonx
SQL
Pandas
NumPy
Scikit-learn
Machine Learning
Statistical Modeling
Data Visualization
Matplotlib
Seaborn
Cognos
Git
Version Control
AWS
Azure
IBM Cloud