Senior Data Scientist

Prealize Health; United States; Remote; USD 120,000 - 200,000; Full time

Job summary

An innovative firm is seeking a Senior Data Scientist to leverage cutting-edge AI and machine learning techniques to transform healthcare. In this pivotal role, you will collaborate with clinicians, engineers, and product managers to develop impactful products that enhance patient outcomes. Your expertise in Python, machine learning frameworks, and cloud technologies will drive the creation of high-performing models that predict health conditions and utilization needs. This role offers a flexible work environment and a competitive salary, along with opportunities for professional growth in a dynamic startup atmosphere focused on making a difference in healthcare.

Benefits

Flexible work environment

Competitive base salary

Generous bonus

Equity plan

Paid time off

Medical, dental, vision

401k

Wellness benefits

Home office benefits

Qualifications

• 4+ years experience building commercial products with expertise in Python and ML frameworks.
• Proficiency in classical and deep learning techniques, able to conduct independent research.

Responsibilities

• Develop high-performing machine learning models for predicting health conditions.
• Collaborate with clinical and product teams to create valuable health solutions.

Skills

Python

Machine Learning

Deep Learning

SQL

Communication Skills

Independent Research

Education

PhD or MS in Computer Science

Equivalent Discipline

Tools

Pytorch

Tensorflow

Spark

AWS

Azure

GCP

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 the 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:

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

What You’ll Need:

1. PhD or MS in computer science, statistics, biostatistics, economics, or an equivalent discipline
2. 4+ years demonstrated experience building commercial products
3. Expertise in Python and experience with ML frameworks like Pytorch, Tensorflow
4. Experience with distributed computing technologies like Spark
5. Experience with cloud platforms (e.g., AWS, Azure, GCP)
6. Ability to process data and perform queries using SQL
7. Proficiency in classical machine learning techniques as well as deep learning methods (representation learning using transformer architectures, large language models)
8. Ability to conduct independent research to develop strategies to solve novel challenges
9. Excellent communication skills, and the ability to work collaboratively in an agile, open, and highly dynamic startup environment
10. 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:

1. Flexible work environment
2. Competitive base salary plus a generous bonus and equity plan
3. Paid time off including holidays
4. Medical, dental, vision
5. 401k
6. 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.