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This role sits at the intersection of wet-lab science and machine learning, focused on generating high-quality, ML-ready datasets derived from complex biological systems. Our client is building the next generation of AI-driven structural biology, integrating cutting-edge in vivo data with machine learning to model protein conformations in disease.

Our client is building the next generation of AI-driven structural biology, integrating cutting-edge in vivo data with machine learning to model protein conformations in disease.
About the Role: We are seeking a highly motivated Scientist / Senior Scientist to lead experimental data generation for an AI/ML-driven structural biology platform. This role sits at the intersection of wet-lab science and machine learning, focused on generating high-quality, ML-ready datasets derived from complex biological systems. You will play a critical role in designing and executing experiments that directly inform and improve machine learning models. This is a hands-on, cross-functional position working closely with computational teams to iterate rapidly and refine data quality and experimental approaches. Key Responsibilities:<ul><li>Own the wet-lab R&D pipeline for generating machine learning training data
	</li><li>Translate AI/ML model requirements into well-designed experimental plans
	</li><li>Design, execute, and analyze experiments end-to-end, including:
	<ul><li>Sample preparation and reagent selection
		</li><li>Automation and liquid handling setup
		</li><li>LC/MS operation and peptide mapping
		</li><li>Data processing and interpretation
	</li></ul></li><li>Generate high-quality, structured datasets for machine learning applications
	</li><li>Collaborate closely with computational teams to iterate experiments based on model feedback
	</li><li>Maintain thorough documentation, data formatting, and dataset curation standards
	</li><li>Source and manage biological reagents, inventory, and lab readiness
	</li><li>Support external and internal projects by generating and analyzing experimental data
	</li><li>Communicate findings and progress clearly to cross-functional stakeholder
</li></ul>

Compass Consulting

Scientist - Experimental Data Generation for AI/ML (Structural Proteomics)

Analysis Skills

Artificial Intelligence (AI)

Automation

Biology

Communication Skills

Cross-Functional

Data Analysis

Data Processing

Data Quality

Data Sets

Disease

Document Data Formats

Experiment Design

Liquid Chromatography-Mass Spectrometry (LC-MS)

Machine Learning

Proteomics

Research & Development (R&D)

Team Player

Training Data Sets

HaleyMarketing

FULL_TIME

OTHER

Our respect for people shines through patient care interactions and our daily work practices as we work to embrace the knowledge, unique perspectives and qualities each employee and faculty member brings to work each day. Collaborate with software developers, Information Services teams, applications staff and users of information systems to plan, develop, test, and implement application development efforts and reports.

Work Schedule: 100% FTE, day shift. Monday through Friday 8:00AM - 4:30PM. Hours may vary based on the operational needs of the department.Be part of something remarkableCome program bioinformatics pipelines for genomics and Next Generation Sequence (NGS) clinical diagnostics testing at UW Health.We are seeking a Bioinformatics Scientist to: <ul><li>Validate cloud based computing platforms following software development best practices and accreditation standards. </li><li>Collaborate with software developers, Information Services teams, applications staff and users of information systems to plan, develop, test, and implement application development efforts and reports.</li><li>Be a project coordinator for research and development within the clinical lab by preparing data sets and analyzing them using data science techniques.</li></ul>At UW Health, you will have: <ul><li>An excellent benefits package, including health and dental insurance, paid time off, retirement plans, two-week paid parental leave and adoption assistance. Full time benefits for part time work. </li><li>Access to great resources through the UW Health Employee Wellbeing Department that supports your emotional, financial, and physical well-being.</li><li>Tuition benefits eligibility - UW Health invests in your professional growth by helping pay for coursework associated with career advancement.</li><li>The opportunity to earn a referral bonus for referring friends, former colleagues or others to apply for open, posted positions.</li></ul>Qualifications <ul><li>Bachelor's Degree in a field related to Biological Sciences Required</li><li>Master's Degree or PhD in the field of Biological Sciences with an emphasis on bioinformatic analyses Preferred</li></ul>Work Experience <ul><li>5 years of training experience or professional work experience in a research laboratory or a service involved in genomics or bioinformatics Required</li></ul>Licenses & Certifications <ul><li>Bioinformatics Certification Preferred</li></ul>Our Commitment to Social Impact and BelongingUW Health is committed to fostering a workplace that creates belonging for everyone and is an Equal Employment Opportunity (EEO) employer. Our respect for people shines through patient care interactions and our daily work practices as we work to embrace the knowledge, unique perspectives and qualities each employee and faculty member brings to work each day. It is the policy of UW Health to provide equal opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.University Hospital in Madison is a Magnet®-designated facility that's ranked Wisconsin's #1 hospital and considered one of the nation's leading hospitals, teaching institutions and referral centers.Job DescriptionUW Hospital and Clinics benefits

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Online Science Jobs in Madison, WI

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Online Science Jobs in Madison, WI

Scientist - Experimental Data Generation for AI/ML (Structural Proteomics) Compass Consulting

Bioinformatics Scientist University of Wisconsin Hospitals and Clinics Authority

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