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Senior Data Scientist

elephas Open · verified Oct 24, 2026
Madison Full-time Senior Data Science

At a glance

Senior Data Science role at elephas. Madison · full-time · no salary stated · we estimate $150,000–$205,000 across the United States.

Estimated pay

elephas has not published a salary for this role. The figure below is our estimate, not theirs.

$150,000 – $205,000
What the middle half of senior data science roles in the United States paid, among postings that did state a salary.
Worked out from 487 postings that stated pay, median $175,500. Last updated Oct 24, 2026.
RoleData Science
SenioritySenior
LocationMadison
EmploymentFull-time
PostedJun 24, 2026 · 4mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Lead data science projects from shaping the question through delivery, rollout and continued improvement
  • Check incoming assay and clinical data with data engineers, then build features and models to assess clinical correlations
  • Create repeatable analytical pipelines and models for biological, experimental, clinical, product and operational data
  • Guide analysis for biomedical research presentations and publications, and present findings to technical and non-technical audiences
  • Review code, advise on methods and mentor data scientists earlier in their careers

What you bring

  • A master’s in a listed quantitative or biomedical field plus over five years of experience, or a PhD plus over two years
  • Strong grounding in quantitative analysis and statistics
  • You can explain complex analytical methods to people without a technical background
  • You understand software development practices and the stages of a software project lifecycle

Who this fits

This senior role suits someone who can lead analytical work, guide colleagues and communicate findings across technical and non-technical groups. The position is based in Madison, Wisconsin.

From the employer

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.