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Senior Data Scientist

fully flexible

Remote:

Full Remote

Contract:

Full time

Salary:

120 - 200K yearly

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

PhD or MS in relevant field, 4+ years experience in product development, Expertise in Python and ML frameworks, Experience with cloud platforms.

Key responsabilities:

Develop machine learning models for health predictions
Collaborate with clinical and product teams

Prealize Health Startup https://www.prealizehealth.com/

11 - 50 Employees

See all jobs

Job description

Senior Data Scientist
Remote

Prealize combines cutting-edge AI-driven data science with actionable health insights to revolutionize healthcare. Our mission is to transform healthcare from a reactive to a proactive approach, reducing healthcare costs and empowering people to live healthier lives. Partnering with health plans, specialty care management organizations, healthcare technology firms, employers, and providers nationwide, Prealize strives to positively influence the health trajectory of millions.

About the Role:
We are looking for a Senior Data Scientist to join our team and work closely with clinicians, engineers, and product managers to develop products that directly impact lives of patients. The ideal candidate will apply state-of-the-art machine learning techniques to translate high-level complex business use cases into concrete real-world solutions. They will have deep expertise in both classical machine learning and deep learning techniques, along with a strong background in research, development, and deploying products into production environments.

What You’ll Do:

Develop high-performing machine learning models for predicting future health conditions and utilization needs of patients
Collaborate with our clinical team to translate expert knowledge into testable, data-driven hypotheses.
Work with our product team to ensure we create the highest value products possible for our partners
Work with our engineering team to enhance the quality, robustness, and extensibility of our platform for millions of patients
Work with our advisors and keep up to date on relevant literature to ensure we use the best approaches available
Document and present your work to the team and our partners.

What You’ll Need:

PhD or MS in computer science, statistics, biostatistics, economics, or an equivalent discipline.
4+ years demonstrated experience building commercial products.
Expertise in Python and experience with ML frameworks like Pytorch, Tensorflow etc.
Experience with distributed computing technologies like Spark.
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Ability to process data and perform queries using SQL.
Proficiency in classical machine learning techniques as well as deep learning methods (representation learning using transformer architectures, large language models etc.).

Ability to conduct independent research to develop strategies to solve novel challenges.

Excellent communication skills, and the ability to work collaboratively in an agile, open, and highly dynamic startup environment.
Some nice to have qualifications: familiarity with causal inference methods and experimental design, knowledge of C++, and experience in the healthcare domain.

What We Offer:

Flexible work environment
Competitive base salary plus a generous bonus and equity plan
Paid time off including holidays
Medical, dental, vision
401k
Wellness and home office benefits, and more

Pay Transparency:
The target salary range is $120,000 to $200,000 annually. Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location.

Diversity, Equity & Inclusion:
Prealize embraces diversity and equal opportunity in a serious way. We are committed to building a team that unites a variety of backgrounds, perspectives, and skills. The more inclusive we are, the greater our impact will be.