Sr. AI Research Scientist(remote)

Claritev; McLean (VA); Remote; USD 170,000 - 185,000; Full time

Job summary

A leading company in healthcare analytics is seeking a Sr. AI Research Scientist to develop innovative machine learning methodologies and predictive models. This role involves collaborating with various teams to drive data-driven business solutions while ensuring compliance with regulations. The ideal candidate will possess advanced degrees and extensive experience in AI technologies.

Benefits

Health Insurance

401(k) with match

Paid Parental Leave

Tuition Reimbursement

Flexible Spending Account

Generous Paid Time Off

Employee Assistance Program

Qualifications

• Advanced degree required with relevant research experience.
• Experience in machine learning and statistical analysis preferred.

Responsibilities

• Develop and implement machine learning methodologies.
• Coordinate with stakeholders for data-driven solutions.
• Ensure compliance with HIPAA regulations.

Skills

Machine Learning

Data Analysis

Statistical Analysis

Optimization

Problem Solving

Education

Ph.D. or M.S. in Operations Research

Applied Mathematics

Tools

Python

Julia

SQL

Job description

Join to apply for the Sr. AI Research Scientist(remote) role at Claritev

Join to apply for the Sr. AI Research Scientist(remote) role at Claritev

JOB SUMMARY: The Sr AI Research Scientist is responsible for developing and implementing new machine learning and optimization methodologies as needed for specific models, analysis or products. Will perform at the highest standards in our field and fully support the company's product, sales, leadership and marketing teams with predictive insights gained through careful analysis of company data. Also is responsible for researching and developing products for the company and provide advise and guidance to other team member.

Job Roles And Responsibilities

• Coordinate the research, design, building, and maintaining of predictive models in production environment.
• Partner with stakeholders throughout the organization to identify opportunities to leverage company data and
  
  

drive business solutions. Directly communicate with clients for feedback and implementation of products.

• Enthusiastically research and experiment with new Artificial Intelligence (AI) technologies and models and discover opportunities for new AI features, influencing current and future product developments.
• Research, develop and implement new machine learning and optimization methodologies as needed for specific models or analyses.
• Develop and build cutting-edge analytic systems, predictive and prescriptive models to elevate customer experience, and track impact over time.
• Write high-quality, reusable and production-ready code. Interpret and analyze data problems. Coordinate with Marketing and Sales Departments.
• Coordinate with Product Management, Engineering and DevOps colleagues in the implementation of models.
• Develop processes and tools to monitor and analyze model performance and data quality and accuracy.
• Collaborate, coordinate, and communicate across disciplines and departments. Coordinate and onboard new team members.
• Ensure compliance with HIPAA regulations and requirements.
• Demonstrate Company's Core Competencies and values held within.
• Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and Privileged Role.
  
  

,

JOB REQUIREMENTS (Education, Experience, And Training)

• Advanced degree (Ph.D. or M.S. with at least three year of relevant research experience) in Operations Research, Analytics, Statistics, Applied Mathematics, Industrial Engineering, Computer Science, or a related field.
• Extended work experience in research, software development and collaboration in teams.
• Relevant work and/or project experience applying Data and/or Statistical Analysis, Machine Learning, Mathematical Modeling, and Optimization (preferably Robust and Mixed Integer) to maximizing outcome or identifying best approaches, preferably in the insurance/healthcare/health services sector, is preferred.
• B grade or above in the following graduate level courses is required: Design of Experiments, Artificial Intelligence and Machine Learning, Data Analysis, Optimization (advanced level).
• Solid understanding of and experience with relevant theories in probability theory, statistics, machine learning, deep learning, data structure and algorithms, optimization (linear programming, mixed-integer programming, robust optimization, nonlinear optimization), etc.
• Possess a passion for developing method to discover solutions using large data sets and working with stakeholders to improve business outcomes.
• Possess a drive to learn and master new technologies and techniques.
• Professional level experience using computer languages (Python, Julia, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Experience designing, conducting, analyzing, and interpreting experiments and investigations.
• Professional grade programming skills, knowledge of algorithms and data structures (Python, Julia, Java, or equivalent).
• Problem solving, critical thinking, creativity, organizational, design, interpersonal, communication (written, verbal
  
  

and listening) skills.

• Expert-level communication skills.
• Fluent in English (both verbal and written).
• Ability to work with a wide range of stakeholders, functional teams and all levels of engineers.
• Confirmed ability to handle multiple projects with strict deadlines.
  
  

Compensation

The salary range for this position is $170K to $185K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.

Benefits

We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

Your Benefits Will Include

• Medical, dental and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off - accrued based on years of service
• WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits.
  

EEO STATEMENT

Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.

APPLICATION DEADLINE

We will generally accept applications for at least 15 calendar days from the posting date or as long as the job remains posted.

- VG1

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

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