Data Scientist Precision Medicine/Pharmaceutical Research

Job description

About Prenosis

Prenosis Inc. is an artificial intelligence company pioneering precision medicine in acute care. Our proprietary NOSIS™ dataset is one of the largest and fastest-growing hybrid biomarker-clinical datasets in infection. Our Immunix™ precision medicine platform drives the development of precision products and enables real-time delivery of optimal therapy. We've created and validated the first FDA-authorized AI biomarker for sepsis, the Sepsis ImmunoScore™. Prenosis is headquartered in Chicago Illinois and generally operates on Central Time Zone.

Join us in revolutionizing acute care through precision medicine. As a Data Scientist at Prenosis, you'll build AI-powered solutions that help clinicians match the right treatment to the right patient at the right time—when every minute counts. Your machine learning models will analyze complex biological and clinical signals to stratify patients, predict outcomes, and guide therapeutic decisions in emergency departments and ICUs. Working with our proprietary NOSIS™ dataset—one of the largest hybrid biomarker-clinical datasets in acute care—you'll transform cutting-edge research into FDA-authorized diagnostics that directly improve patient outcomes and healthcare efficiency. This is an opportunity to see your work move from discovery to regulatory approval to real-world clinical impact, all while pioneering the future of personalized acute care medicine.

Responsibilities

• Develop and deploy machine learning models and predictive algorithms to extract actionable insights from complex patient clinical data for personalized medicine applications

• Design, implement, and optimize end-to-end data science pipelines leveraging Prenosis's proprietary datasets with diverse clinical, molecular, and real-world evidence features

• Conduct exploratory data analysis and feature engineering initiatives to identify novel biomarkers and patient stratification strategies

• Translate complex analytical findings into clear, compelling narratives and visualizations for diverse stakeholders including clinical teams, regulatory bodies, and commercial partners

• Validate model performance and ensure reproducibility in accordance with regulatory standards and good machine learning practices

• Collaborate with cross-functional teams (clinical operations, medical affairs, product development) to define analytical strategies that address critical business and clinical questions

• Contribute to the technical development of regulatory submissions, grant applications, peer-reviewed publications, and intellectual property filings

Expected frequency and duration of travel: Approximately 5% time including biannual 3-4 day all-hands meetings

Job requirements

Qualifications and Experience

Required:

• PhD in Computer Science, Biostatistics, Statistics, Computational Biology, Bioinformatics, or related quantitative field; OR Master's degree with 4+ years of industry experience in pharmaceutical/clinical research settings

• Demonstrated experience applying machine learning and statistical methods to clinical, genomic, or healthcare datasets

• Expert-level proficiency in Python and/or R, with strong software engineering practices (version control, testing, documentation)

• Hands-on experience with clinical trial design, regulatory requirements (FDA/EMA), and healthcare data standards (HL7, FHIR, OMOP)

• Proven track record of translating analytical insights into clinical or business impact

• Strong critical thinking skills with ability to formulate and test hypotheses independently

• Excellent communication skills with experience presenting technical content to non-technical audiences

Preferred:

• Experience with cloud computing platforms (AWS, GCP, Azure) and scalable ML infrastructure

• Knowledge of precision medicine, diagnostics development, or therapeutic area expertise

• Familiarity with model interpretability techniques (SHAP, LIME) for regulatory and clinical transparency

• Publications in peer-reviewed journals

Application Process
In addition to the requested written materials, applicants may optionally complete a practical exercise aligned with the role’s responsibilities to demonstrate their suitability for the position.
See the following repository for details:

What We Offer

• Comprehensive Medical, dental, and vision coverage

• 401(k) with company match

• Unlimited PTO

• Major opportunity for career development to make significant impact at an exciting growth-stage company

• Collaborative and innovative work environment

• Chance to make a real impact on patient care

• Opportunity to work on cutting-edge AI technology in healthcare

Prenosis is an Equal Opportunity Employer

Must be eligible to work in the US without sponsorship

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