Data Scientist – Precision Medicine, Pharmaceutical Research
Prenosis
full-time
Posted on:
Location Type: Remote
Location: Remote • Illinois • 🇺🇸 United States
Visit company websiteSalary
💰 $100,000 - $125,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPython
About the role
- 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
Requirements
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningpredictive algorithmsdata science pipelinesexploratory data analysisfeature engineeringPythonRstatistical methodsmodel interpretability techniquesclinical trial design
Soft skills
critical thinkingcommunication skillscollaborationtranslating analytical insightsindependent hypothesis testing
Certifications
PhD in Computer SciencePhD in BiostatisticsPhD in StatisticsPhD in Computational BiologyPhD in BioinformaticsMaster's degree in related field