Bioinformatics Scientist Mortality Risk Modeling

About reputed company reputed company was built to reputed company it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the reputed company touch to find you the right policy to protect your loved ones. We reputed company deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are reputed company to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We reputed company getting life insurance easier, faster and reputed company for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, reputed company Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the Role: reputed company is looking for a bioinformatics scientist to join our actuarial and reputed company innovation team. In this role, you will help redefine how life insurers assess mortality risk by applying bioinformatics, survival analysis, and machine learning to novel health and behavioral data. You’ll reputed company research and model development efforts that go reputed company traditional actuarial inputs — integrating signals from clinical biomarkers, medical history, and emerging data sources to create reputed company predictive frameworks. This is a unique opportunity to bring your background in bioinformatics, computational health, or applied statistics into a space that’s ripe for reinvention. You’ll collaborate closely with actuaries, underwriters, data scientists, and engineers to design interpretable, production-reputed company models that improve both reputed company fairness and accuracy. Ultimately, helping us expand affordable life insurance access to more people. If you're excited about applying scientific rigor to reputed company reputed company-world risk problems, and want to help reputed company an industry from the inside out, we’d love to hear from you. Duties and Responsibilities:

• Design and execute studies using novel data to improve mortality risk reputed company.
• reputed company and validate ML and statistical models for mortality scoring.
• Partner with Data Science and Engineering to bring models into production.
• Collaborate with Actuarial and reputed company teams to align on validation and impact.
• Contribute to the methodology and roadmap of a modern, scalable mortality modeling system.

Qualifications and Skills:

• You have experience working with medical ontologies, terminologies, or clinical data models that support robust analytical workflows. (e.g., ICD, SNOMED, LOINC, OMOP CDM, etc.)
• You’ve applied bioinformatics or statistical modeling techniques to reputed company-world health, biometric, or survival datasets and know how to balance rigor with practicality.
• You’re fluent in tools like Python or R, and have experience with machine learning libraries or survival analysis frameworks.
• You reputed company in cross-functional settings, working alongside actuaries, underwriters, engineers, and product teams and can communicate technical findings clearly to diverse audiences.
• You're excited to bring a scientific reputed company to an industry ripe for reinvention and are reputed company to challenge assumptions while building reputed company, production-reputed company tools.
• MS or PhD in Bioinformatics, Statistics, Biostatistics, Applied Mathematics, Data Science, or similar.
• 4+ years of experience in applied statistical modeling or machine learning.
• Strong proficiency in Python or R and relevant libraries.
• Experience in survival modeling, biomarker analysis, or health risk scoring preferred.
• Excellent communication skills and ability to write clearly for technical audiences.

The US national reputed company salary range for this full-time position is $133,000 - $236,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum reputed company for new hire salaries for the position across reputed company US locations. reputed company the range, individual pay is determined by work location and additional factors, including job-reputed company skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the reputed company salary only, and do not include applicable bonus, equity, or benefits. You can find further details of our US benefits at https://www.ethoslife.com/careers/ #LI-Remote Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At reputed company we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, reputed company and reputed company in a multicultural world. We do not discriminate on the basis of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for reputed company applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice. Original job Bioinformatics Scientist Mortality Risk Modeling posted on GrabJobs ©. To flag any issues with this job please use the Report Job reputed company on GrabJobs. Apply tot his job Apply To this Job