Senior Data Scientist (Computational Biophysicist)

Abbott Laboratories; Illinois; On-site; USD 87,000 - 173,000; Full time

Benefits offered by this job

Free medical coverage in HIP PPO plan

High employer retirement contribution

Tuition reimbursement and FreeU

Job summary

Abbott Park, IL-based Senior Data Scientist (Computational Biophysicist) will turn complex data into insights to drive business decisions and product improvements. You will lead analytics, build and deploy ML models, and work with stakeholders to define goals and success metrics.

You will mentor data scientists, shape best practices, and apply analytic strategies across biophysics and computational biology domains to create impact on diagnostics and health outcomes.

Qualifications

• Master's degree with additional progressive research experience; equivalency possible.
• Doctorate degree with experience presenting results to diverse groups.
• Ability to train others on techniques, processes and assays.
• Familiar with project planning, process updates, and experimental design.
• Life or Physical Science background with up to two years of research or industrial experience.

Responsibilities

• Lead advanced analytics and machine learning initiatives, collaborating with stakeholders to solve business problems.
• Develop, validate, and deploy ML models and predictive algorithms.
• Analyze complex data sets and translate findings into actionable recommendations.
• Design end-to-end analytical strategies addressing critical business questions.
• Mentor junior data scientists and contribute to best practices and processes.
• Communicate model logic and limitations to technical and non-technical audiences.

Skills

Python

Bash

C++

Linux/Unix

Big data systems

Docker

Kubernetes

AWS

Education

Master's degree with progressive research

Doctorate degree

Life or Physical Science background

Advanced degree in Life or Physical Science

Tools

Hadoop

Spark

MongoDB

Job description

Working at Abbott

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution.
• Tuition reimbursement, Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position Senior Data Scientist (Computational Biophysicist), works on site of our Abbott Park, IL location in the Core Labs Dx Division. Our diagnostic solutions are used in hospitals, laboratories, and clinics around the globe. The crucial information derived from our tests, instruments, and informatics systems is often the first step in patient care decision-making for hundreds of health conditions from heart attacks to blood disorders to infectious diseases and cancers.

What You’ll Work On

As a Senior Data Scientist, Computational Biophysicist, you’ll turn complex data into meaningful insights that help drive business decisions, improve products, and create value for customers. You’ll lead advanced analytics and machine learning initiatives, working closely with stakeholders to solve challenging business problems and uncover new opportunities through data.

• Analyze complex data sets and translate findings into clear, actionable recommendations for business and technical teams.
• Collect, prepare, clean, and transform structured and unstructured data for advanced analysis.
• Design end-to-end analytical strategies that address critical business questions and support data-driven decision making.
• Develop, validate, and deploy machine learning models, predictive algorithms, and advanced analytical solutions.
• Perform statistical analysis to identify trends, patterns, risks, and opportunities within large data sets.
• Partner with stakeholders to define project goals, requirements, timelines, and success metrics.
• Communicate analytical approaches, model logic, assumptions, and limitations to both technical and non-technical audiences.
• Work closely with business partners to understand operational challenges and continuously refine analytical solutions.
• Identify opportunities to improve products, processes, systems, and business performance through the use of data and analytics.
• Transform analytical results into strategic recommendations using business and industry expertise.
• Mentor and coach junior data scientists, providing technical leadership and analytical guidance.
• Support the development of data science best practices, processes, and organizational capabilities.
• Lead and contribute to teams delivering predictive, prescriptive, and applied analytics solutions from development through deployment.

Required Qualifications

• Masters Degree with additional progressive research experience sufficient to demonstrate equivalency.
• Doctorate Degree Experience with presenting results of projects both internally & externally; present complex technical data to large and diverse groups.
• Ability to train others on the theoretical and practical basis of techniques, processes and assays.
• Familiar with project planning, process updates, & experimental design. Prepares & align impact goals with department goals.
• Life or Physical Science preferred with up to two years research or industrial experience.

Preferred Qualifications

• Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred.
• Advanced Experience with programming scripts and pipelines in languages such as Python, Bash, C++ in Linux/Unix
• Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, Docker, Kubernetes, AWS or similar software.
• Experience in building or applying machine learning models of protein sequence and structure.
• Experience in building or applying biophysical and molecular dynamic models of protein sequence and structure
• Advanced analytics knowledge and application in the field of: Computational Biology, Biophysics, Molecular Dynamics, Bio-ML, Bioinformatics, Statistics, Mathematical programming, Business acumen and experience with operational or strategic systems.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: https://abbottbenefits.com/

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.

The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.