RefinedScience ยท 3 hours ago
Principal Data Scientist
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Artificial Intelligence (AI)Biopharma
No H1B
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Responsibilities
Implement cutting edge statistical and machine learning methods to develop empirical models. Key focus areas include:
Developing statistical learning-based models
Developing inferential/causal models
Developing machine learning based predictive-and-interpretive models
Developing federated/distributed learning models
Implementing advanced artificial intelligence (AI) tools such as large language models to boost efficiency of data extraction and curation
Being able to process, manage, manipulate, and visualize large clinical data adhering to best practices
Generating real world evidence and clinical insights while validating model performances
Understanding complex clinical problems and solving them (empirically and intuitively)
Collaborate with academicians, clinicians, data managers, data engineers, data analysts, bioinformaticians, non-technical partners, business personnel, and other stakeholders.
Contribute to preparing scientific manuscripts
Qualification
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Required
B.Sc. with 5+ years of working experience, or MSc / PhD with 1+ year postgraduate experience in data science, mathematics, statistics, biostatistics, computer science or related quantitative discipline.
Superb written and verbal communication skills
Demonstrable evidence of learning and scientific problem-solving skills
Thorough working knowledge of R/Quarto/Python and SQL
Experience in software (e.g., package) development for reproducibility
Experience in at-least one web application (R Shiny/JAVA/Tableau)
Applied knowledge of working in Linux, AWS, GCP, and GitHub
Thorough theoretical and applied understanding on at least three or more areas such as multistate survival analyses, mixed modeling, non-parametric modeling, longitudinal/time series modeling, meta-analysis/evidence synthesis, machine learning models (e.g., gradient boost, ensemble models, SVM, neural net, transformers, and their counterparts), distributed algorithms, federated algorithms, adversarial models, and Bayesian models.
Experience working in a collaborative environment being as a team player
Willingness to travel to RefinedScience location (Denver, CO) approximately once per month and travel up to 15%
Preferred
Proven track record of publication in major scientific journals, conferences or scientific proceedings.
Experience working with electronic health records (EHR) data
Experience in designing clinical trials (single-arm, synthetic, or randomized)
Experience working in early-stage Biotech environment
Benefits
Medical, Dental and Vision insurance
Life, AD&D, Short-term and Long-term Disability Insurance (none is 100% covered)
HSA Spending Accounts
22 Vacation days
10 Paid Holidays and Sick Time (120 hours per year)
401(K) Plan