Senior Data Scientist

Kyverna Therapeutics is a patient-centered, clinical-stage biopharmaceutical company focused on developing cell therapies for patients suffering from autoimmune diseases. The Kyverna therapeutic platform leverages advanced T cell engineering to suppress and eliminate autoreactive immune cells at the origin of autoimmune and inflammatory diseases. Be at the forefront of cell therapy innovation by joining scientists, industry veterans and healthcare visionaries and help transform how autoimmune diseases are treated

This candidate will be in the center of the heterogeneous data at Kyverna to work across many stake holders to build and integrate tools for data visualization, exploration and analysis to drive scientific hypothesis and interpretation. This candidate will also work very closely with the CAR-T development and manufacture team to monitor and QC the process to ensure the product quality for patient care, and to facilitate understanding of CAR-T mechanism of action with the Translational group. This is a very rewarding position requiring a combination of skills from the candidate in software programming, data analysis, and creative thinking to deliver the insight from the complex data.

Responsibilities

• The candidate will work with a multi-disciplinary team which includes medical, translational, clinical data management (CDM), stats programming, biostats, TechOps, Research to integrate high dimensional data for downstream analysis and visualization, to provide insight between the CAR-T characteristics, in-patient profile and clinical outcomes
• Working with CDM and others to build dashboards for data visualization and analysis:
• Data from clinical trials
• Data from individual patient use and investigator initiated trials
• Data from CAR-T development and manufacturing
• Integrated data from all the above
• Develop and maintain a process to facilitate QC and provide feedback to the manufacturer process to ensure product quality to maximize the patient benefit from the CAR-T product
• Work with the Translation group to analyze high dimensional data to drive understanding of mechanism of action, potential resistance/relapse for patient selection and product optimization

Requirements

• B.S., M.S. or higher degree in Engineering, Data Science, Bioinformatics, Computer Science, or relevant fields
• 5 years' related experience in biotech/pharma in Data Science or Bioinformatics Engineering
• Strong programming skills in R/Shiny, Python, JavaScript, Tableau
• Proven success of dashboard building for either internal or external use
• Familiar with clinical trials process and data flow
• Extensive experience in multivariate data analysis to draw inferences from high dimensional data in life science, AI/ML experience a plus
• Great team player. Excellent communication skills required

$150,000 - $200,000 a year

The salary range for this position is from $150,000 - $200,000 USD annually. This salary range is an estimate of what we reasonably expect to pay for this posted position, and the actual salary may vary based on various factors, including without limitation individual education, experience, tenure, skills and abilities, as well as internal equity and alignment with market data. This position is also eligible for bonus, benefits, and participation in Company's stock option plan.

The salary range for this position is from $150,000 - $200,000 USD annually. This salary range is an estimate of what we reasonably expect to pay for this posted position, and the actual salary may vary based on various factors, including without limitation individual education, experience, tenure, skills and abilities, as well as internal equity and alignment with market data. This position is also eligible for bonus, benefits, and participation in Company's stock option plan.

Kyverna is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Kyverna is committed to the principle of equal employment opportunity for all employees and does not discriminate on the basis of race, religion, color, sex, gender identify, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other legally protected status. EOE/AA/Vets