Top 67 Senior applied scientist Jobs in Illinois

Senior Research Scientist I/II, Computational Biology & Toxicology
AbbVie —North Chicago, IL
- $109,500 - $208,500 a year
- Full-time
- Hybrid work
- No experience needed
- Master's degree
- Databases
- Paid holidays
- Health insurance
Senior Scientist I- Preclinical Safety Data System Owner
AbbVie —North Chicago, IL
- $96,500 - $183,500 a year
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Doctor of Philosophy
- Paid holidays
- Health insurance
Senior Scientist II, Peptide Analytical Chemist
AbbVie —North Chicago, IL
- $109,500 - $208,500 a year
- Full-time
- Bachelor of Science
- Master's degree
- Analysis skills
- Paid holidays
- Health insurance
Senior Sensory Manager - Americas
Tate & Lyle —Hoffman Estates, IL
- $119,000 - $187,000 a year
- Full-time
- Background check
- Pass drug screening
- 3 years
- Paid parental leave
- Health insurance
Sr Principal Scientist, R&D - Protein Chemist
Kraft Heinz Company —Glenview, IL
- $120,800 - $151,000 a year
- 6 years
- Master's degree
- Bachelor's degree
- AD&D insurance
- Paid holidays
Senior Applied Scientist, Applied AI Solutions GTM
Amazon Development Center U.S., Inc. —Chicago, IL
- $167,100 - $260,000 a year
- Full-time
- 5 years
- Master's degree
- Doctor of Philosophy
- AD&D insurance
- Health insurance
Senior Scientist II, Early Analytical Peptide Development, Synthetic Molecules
AbbVie —North Chicago, IL
- $109,500 - $208,500 a year
- Full-time
- Bachelor of Science
- Master's degree
- Analysis skills
- Paid holidays
- Health insurance
7d
Senior Scientist I - Peptide Analytical Chemistry
AbbVie —North Chicago, IL
- $96,500 - $183,500 a year
- Full-time
- Bachelor of Science
- Master's degree
- Analysis skills
- Paid holidays
- Health insurance
3d
Data Scientist II, Outcomes Research
Tempus —Chicago, IL
- $90,000 - $150,000 a year
- Full-time
- Master's degree
- SQL
- Analysis skills
- Health insurance
Senior Data Scientist
Caterpillar —Mossville, IL
- $112,710 - $183,140 a year
- Full-time
- Computer Science
- Pass drug screening
- Databases
- Health savings account
- Paid holidays
6d
Regional Sales Trainer -- CENTRAL Region
Abbott Laboratories —Abbott Park, IL
- $99,300 - $198,700 a year
- Full-time
- Classroom
- 5 years
- Mid-level
- Health insurance
- Tuition reimbursement
13d
Regional Sales Trainer -- EAST Region
Abbott Laboratories —Abbott Park, IL
- $99,300 - $198,700 a year
- Full-time
- Classroom
- 5 years
- Mid-level
- Health insurance
- Tuition reimbursement
13d
Senior Manager, Data Science - Marketing
Walgreens —Deerfield, IL
- $136,000 - $231,300 a year
- Hybrid work
- Computer Science
- Master's degree
- SQL
- Health insurance
- Dental insurance
Senior Data Modeler
Tempus —Chicago, IL
- $110,000 - $170,000 a year
- Full-time
- SQL
- APIs
- Senior level
- Health insurance
Senior Data Scientist – Corporate Training
Attadale Partners —Schaumburg, IL
- Email
- Computer Science
- English
- 3 years
Principal Scientist I, Biologics Analytical R&D (External Programs)
AbbVie —North Chicago, IL
- $124,500 - $236,500 a year
- Full-time
- Hybrid work
- 6 years
- Analysis skills
- Doctor of Philosophy
- Paid holidays
- Health insurance
Sr. Product Development Specialist – Sous Vide Protein
OSI INDUSTRIES, LLC —Aurora, IL
- $104,648 - $156,972 a year
- Ability to walk for extended periods
- Bachelor of Science
- Writing skills
- Paid holidays
- Health insurance
Quick Apply
Sr. Data Scientist, Clinical
Prolaio —Chicago, IL
- From $136,000 a year
- Medicine
- 3 years
- SQL
- Commuter assistance
- Paid parental leave
Quick Apply
Senior Data Scientist (USA / Israel)
Nift —Illinois
- Remote
- Computer Science
- 5 years
- Master's degree
- Paid time off
Conservation Ecologist - Keller Science Action Center
Field Museum —Chicago, IL
- $62,000 - $70,000 a year
- Online Application
- Hybrid work
- Senior level
- 4 years
- Communication skills
- Paid holidays
- Health insurance
Quick Apply

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Senior Research Scientist I/II, Computational Biology & Toxicology

AbbVie -
North Chicago, IL

Apply Now

Job Details

Full-time
$109,500 - $208,500 a year

Benefits

Paid holidays
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance

Qualifications

Time series models
Computational research
Software coding
Machine intelligence
Inferential statistics
Supervised learning
Time Series Analysis
Unsupervised learning
Research findings presentation
Project stakeholder communication

Full Job Description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Computational Toxicology group is dedicated to advancing in-silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation — and that intersection is intentional.

We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data-driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality.

The role focuses on integrating diverse data sources — including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets — into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co-design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences.

Responsibilities

Serve as a scientific translator between wet-lab researchers and computational infrastructure — understanding experimental design, data provenance, and biological context well enough to ensure fit-for-purpose solutions
Engage directly with scientists to understand existing laboratory and analytical workflows, identify bottlenecks, and co-design computational solutions that are practical, reproducible, and scalable.
Develop user-friendly tools, pipelines, and applications designed for scientists without a computational background, enabling broader Development Sciences teams to leverage computational insights
Partner with research scientists, data scientists, and safety experts to design, implement, and validate machine learning/AI strategies that address key discovery and preclinical safety questions.
Curate, harmonize, and integrate multi-modal datasets including chemical, genomic, molecular, in vitro, pathology, and clinical sources, into scalable workflows that support safety insight generation and risk prediction
Translate computational findings into predictive models, analytical tools, and user-friendly applications that support decision-making in drug discovery and development.

Clearly communicate methods and results to multidisciplinary stakeholders, tailoring messages for both technical and non-technical audiences

Qualifications

Senior Scientist I Qualifications: Bachelor’s Degree and typically 10 years of experience OR Master’s Degree and typically 8 years of experience, OR PhD and no experience necessary.
Senior Scientist II Qualifications: Bachelor’s Degree and typically 12 years of experience OR Master’s Degree and typically 10 years of experience, OR PhD and 4 years of experience
PhD in Computational Biology, Biology, Pharmacology, Biochemistry, or a related life science field, with meaningful exposure to computational methods through coursework, dissertation research, or applied experience. Postdoctoral or industry experience preferred
A genuine scientific foundation in biology — whether through formal training, research experience, or applied industry work — sufficient to critically evaluate experimental data, identify biological confounders, and contextualize computational outputs in mechanistic terms.
Scientific coding fluency in Python (preferred) or R. We do not expect a software engineering background — we expect the ability to write clean, functional, reproducible code in service of scientific questions.
Working knowledge of machine learning applied to biological or safety datasets, with the ability to select and justify methods based on scientific context, not just algorithmic performance.
Strong foundation in statistical and applied analytical methods, including hypothesis testing, Bayesian inference, regression, multivariate, and time-series analyses.
Expertise in advanced machine learning, including deep learning, supervised/unsupervised clustering, and classification algorithms (e.g., SVMs, random forests, gradient boosting).
Demonstrated ability to communicate computational approaches and results to non-computational scientists, including presenting analytical strategies and translating findings into actionable scientific insights.
Preferred
Demonstrated experience working with pathology and/or safety datasets; familiarity with integrating histopathology, clinical pathology, or safety study data into computational workflows.
Hands-on wet lab experience (e.g., experimental design, assay development, or mechanistic biology studies) that informs a deeper understanding of data generation, variability, and biological constraints.
Experience with scalable computing (parallelization, cloud platforms) and database querying for large biological datasets.
Experience with generative AI (GANs, VAEs) or large language models (LLMs) in a scientific context.
Experience in data visualization and interface development, with an emphasis on presenting biological and safety-related data intuitively for non-technical users.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Apply Now

Refine Your Search

senior applied scientist jobs in illinois

Senior Research Scientist I/II, Computational Biology & Toxicology

Senior Scientist I- Preclinical Safety Data System Owner

Senior Scientist II, Peptide Analytical Chemist

Senior Sensory Manager - Americas

Sr Principal Scientist, R&D - Protein Chemist

Senior Applied Scientist, Applied AI Solutions GTM

Senior Scientist II, Early Analytical Peptide Development, Synthetic Molecules

Senior Scientist I - Peptide Analytical Chemistry

Data Scientist II, Outcomes Research

Senior Data Scientist

Regional Sales Trainer -- CENTRAL Region

Regional Sales Trainer -- EAST Region

Senior Manager, Data Science - Marketing

Senior Data Modeler

Senior Data Scientist – Corporate Training

Principal Scientist I, Biologics Analytical R&D (External Programs)

Sr. Product Development Specialist – Sous Vide Protein

Sr. Data Scientist, Clinical

Senior Data Scientist (USA / Israel)

Conservation Ecologist - Keller Science Action Center

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