Senior Data Scientist

Job description

Summary Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative environment. Candidates should be eager to learn and flexible with an aptitude for understanding and synthesizing scientific and medical information, strong analytical and problem-solving skills. A successful candidate will not only exemplify these skills but also be passionate about improving the lives of cancer patients, grounded and gritty, and an enthusiastic teacher. The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders. Essential Duties and Responsibilities Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement. Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets. Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use. Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches. Lead complex data presentation to technical and non-technical stakeholders. Provide technical leadership through code review, methodological guidance, and best-practice development. Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making. Education/Experience/Skills Master’s (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field Strong background in quantitative analysis and statistics 1-3 years experience analyzing biomedical datasets is preferred Experience programming in Python is preferred Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. Experience explaining complex data methodologies to non-technical stakeholders Familiarity with software development life cycle and best practices Detail-oriented with strong organizational skills We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.