Data Scientist II at Cohere Health

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

2+ years analytical experience at a company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development, familiar with higher level trends in LLMs and open-source platforms
Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
Strong interest and understanding of EMR data, Claims and SDOH data
Experience with data visualization tools such as Tableau and Kibana (preferred)
Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field
Experience with Amazon AWS cloud platform (preferred)
Experience with graph database managing clinical concepts (big plus)

Responsibilities

Play a key role in gathering business requirements, using them for trend analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools
Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
Leverage a variety of cutting-edge technologies, including LLM and stochastic optimization, to support faster and better decision making
Train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data
Leverage data from various sources (e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process), working with Clinical Programs to analyze and simulate expected impact and ROI (e.g., medical expense, administrative cost, improved quality and outcomes)
Present information using data visualization techniques and propose solutions and strategies to business challenges
Manage data science projects with some supervision, including understanding business impact, defining scope, setting timeline, methodology, stakeholder communication, deployment, production monitoring and success metrics

Skills

Key technologies and capabilities for this role

LLMDeep LearningStochastic OptimizationAnomaly DetectionThreat ClassificationData VisualizationStatistical MethodsTrend AnalysisHealthcare Data Analysis

Questions & Answers

Common questions about this position

What experience level is required for this Data Scientist II role?

The role requires 2+ years of analytical experience at a company where health outcomes were critical to the mission, preferably in a healthcare analytics company or population health organization.

What technical skills and tools are needed for this position?

Candidates need proficiency in programming languages like Python, R, PySpark, Scala, and/or Spark SQL, along with strong experience in data mining, modeling, NLP, LLMs including fine-tuning, and knowledge of graph databases as a plus.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What growth opportunities does this role offer?

This is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities as part of a growing data science team within the technology organization.

Cohere Health

Automates prior authorization in healthcare

About Cohere Health

Cohere Health improves the prior authorization process in healthcare, which requires providers to get approval from health plans before delivering certain services. Their platform, Cohere Unify, automates and streamlines these requests by integrating with electronic medical records and using technologies like optical character recognition and machine learning. This approach allows for faster decision-making and reduces delays in patient care. The goal is to make the prior authorization process more efficient, benefiting healthcare providers, health plans, and patients.

Boston, MassachusettsHeadquarters

2019Year Founded

$103.1MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

501-1,000Employees

Benefits

Health Insurance

401(k) Company Match

Performance Bonus

Remote Work Options

Risks

Increased competition from AI-driven startups like Abridge threatens market share.

Flat healthcare IT deal activity may impact future funding opportunities.

Dependency on Humana partnership poses risk if challenges arise in the relationship.

Differentiation

Cohere Health automates prior authorization, reducing delays and administrative burdens.

The Cohere Unify platform integrates with EMR and uses OCR for fax submissions.

Machine learning and AI enhance decision-making based on health plan policies.

Upsides

Humana expanded Cohere's platform use, showing trust and potential for more partnerships.

Cohere raised $50 million, indicating strong investor confidence and growth potential.

KLAS award recognition highlights effectiveness, attracting more healthcare providers.

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