Top 9 Bioinformatics software Jobs in Chicago Il

Talent Community | Data Scientist
EVOZYNE INC —Chicago, IL
- Computer Science
- Entry level
Data Scientist
Loyola University Chicago —Maywood, IL
- $55,000 - $60,000 a year
- Full-time
- Mid-level
- Analysis skills
- University
Clinical Data Scientist
Hospital: Rush University Medical Center —Chicago, IL
- $38.07 - $56.73 an hour
- 8 hour shift
- Microsoft Outlook
- Mid-level
- 3 years
13d
Data Scientist II, Outcomes Research
Tempus —Chicago, IL
- $90,000 - $150,000 a year
- Full-time
- Master's degree
- SQL
- Analysis skills
- Health insurance
Sr. Data Scientist, Translational Research
Tempus —Chicago, IL
- $100,000 - $175,000 a year
- Full-time
- Master's degree
- AWS
- Analysis skills
- Health insurance
Senior Software Engineer, OS Ecosystem
Tempus —Chicago, IL
- $110,000 - $160,000 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Health insurance
Senior Data Scientist – Corporate Training
Attadale Partners —Schaumburg, IL
- Email
- Computer Science
- English
- 3 years
Sr. Data Operations Analyst
Tempus —Chicago, IL
- $80,000 - $116,000 a year
- Full-time
- Computer Science
- Office
- SQL
- Health insurance
Senior Software Engineer II, Data Products
Tempus —Chicago, IL
- $150,000 - $190,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Health insurance

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Software Engineer Analyst - AI Trainer
DataAnnotation —Geneva, IL
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$50 - $100 an hour
Quick Apply
Backend Software Engineer - AI Trainer
DataAnnotation —Lemont, IL
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$50 - $100 an hour
Quick Apply

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bioinformatics software jobs near chicago il

Talent Community | Data Scientist

EVOZYNE INC
Chicago, IL

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Job Details

Qualifications

Hypothesis testing
Statistical analysis for research
Collaborative research
Inferential statistics
Statistical significance testing

Full Job Description

Evozyne designs and builds engineered protein therapeutics using our AI-native platform, transforming what’s possible in immune-mediated disease treatment. Our Data Scientists partner closely with our research teams to transform complex experimental data into insights that guide molecule design and program strategy, turning bold ideas into therapies that can meaningfully improve patients’ lives. This posting helps us connect with candidates for future opportunities. While this listing is not tied to a current opening, we encourage you to join our talent community so we can connect with you when new roles emerge!

Key Responsibilities

Analyze and integrate diverse experimental datasets (e.g., sequencing, biophysical, cell-based, and functional assays) to inform therapeutic design decisions
Develop computational and statistical models to support protein engineering, optimization, and candidate selection
Design and implement workflows for data processing, visualization, and interpretation that enable rapid, high-quality decision-making
Partner with discovery scientists to translate biological questions into quantitative analyses and predictive approaches
Apply machine learning and modeling methods to improve design strategies
Build scalable tools and pipelines that enhance reproducibility and accessibility of experimental insights
Communicate findings clearly to cross-functional teams and contribute to project strategy and prioritization

Who You Are

You thrive in an early-stage start-up environment and are motivated by the opportunity to build new therapies that can transform patients’ lives. You combine agility with scientific rigor to deliver high-quality results, and you bring natural curiosity and a collaborative mindset to solving complex challenges.

Minimum Qualifications

Undergraduate and/or graduate level education focused on data science, computational biology, bioinformatics, computer science, machine learning, AI, or a similar field
Hands on experience analyzing experimental, biological, chemistry, or physics datasets (industry, startup, or academic lab)
Ability to understand experimental context (read protocols, interpret assay outputs) and partner effectively with experimentalists
Solid grasp of EDA and basic statistics (distributions, confidence intervals, hypothesis testing)

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bioinformatics software jobs in chicago il

Talent Community | Data Scientist

Data Scientist

Clinical Data Scientist

Data Scientist II, Outcomes Research

Sr. Data Scientist, Translational Research

Senior Software Engineer, OS Ecosystem

Senior Data Scientist – Corporate Training

Sr. Data Operations Analyst

Senior Software Engineer II, Data Products

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