Lead Integrations Engineer

New York, New York, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Biotechnology, Data & AnalyticsIndustries

Requirements

Candidates should possess a bachelor's degree in Computer Science, Information Systems, or a related major, or equivalent work experience. A minimum of 5 years of experience is required in working with data pipelines, data storage, software services, SQL, relational databases, and a backend programming language such as Python, Java, or Scala. Understanding of data intake, mapping, normalization, and storage is necessary, along with professional experience with Mirth (NextGen) or similar ETL services.

Responsibilities

The Lead Integrations Engineer will lead an engineering team to develop and maintain data pipelines that capture, process, and integrate data into COTA's data warehouse. This role involves working cross-functionally with Product, Engineering, Medical, and Operations teams, as well as external parties, to ensure alignment and achieve optimal solutions. Responsibilities include managing priorities, driving Agile ceremonies, interacting with clients for data requests, investigating and resolving production issues, and mentoring other engineers.

Skills

Data Pipelines

Data Ingestion

Data Integration

Data Warehouse

API Design

System Architecture

Cloud Platforms

ETL

SQL

Python

Leadership

Team Management

COTA

Data analytics for cancer care improvement

About COTA

COTA Healthcare focuses on improving cancer care through technology and data analytics. They analyze real-world data related to oncology, which helps healthcare providers, researchers, and pharmaceutical companies make better decisions regarding patient treatment. COTA's solutions clarify fragmented data, providing actionable insights that aim to reduce variations in care quality and enhance patient outcomes. Unlike many competitors, COTA specifically targets the oncology sector and partners with various stakeholders in the cancer treatment ecosystem to deliver tailored insights. The company's goal is to ensure that every cancer patient receives the most appropriate and effective care possible.

New York City, New YorkHeadquarters

2011Year Founded

$73MTotal Funding

CONVERTIBLECompany Stage

Data & Analytics, HealthcareIndustries

201-500Employees

Risks

Over-reliance on AI could lead to inaccuracies if data isn't properly validated.

Multiple partnerships may lead to conflicts of interest or data privacy concerns.

Intensifying competition in oncology data analytics threatens COTA's market position.

Differentiation

COTA uses proprietary technology to organize complex oncology data for actionable insights.

Partnerships with companies like Guardant Health enhance COTA's precision oncology capabilities.

COTA's AI-powered curation engine, CAILIN™, transforms fragmented data into valuable insights.

Upsides

Growing AI adoption in healthcare aligns with COTA's precision oncology focus.

COTA's collaboration with the FDA strengthens its role in regulatory decision-making.

Partnerships with Caris Life Sciences expand COTA's multi-modal data offerings.

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