Data Scientist (Remote) Jobs

Description

Data Scientist (Remote)

• Are you an experienced Data Scientist looking for a new challenge?
• Do you value care management and quality improvement?
• Are you motivated, energetic, and excited to become part of the Acentra Health team?

If so, you might be our next new team member!

Who we need:

The Data Scientist is responsible for leveraging analytical skills, statistical knowledge, and machine learning expertise to derive meaningful insights from complex health-related datasets. Collaborate with cross-functional teams and contribute to the development of data-driven solutions aimed at improving healthcare outcomes and decision-making processes.

Why us?

Acentra Health is a rapidly growing national quality improvement and care management organization. We work to ensure that over 20 million people receive the right care, at the right time, in the right setting.

People Focused. Mission Driven.

Shape the future of healthcare with us. We are mission driven to improve lives through healthcare quality and clinical expertise.

We do this through our people.

At Acentra Health, you can do meaningful work that makes a real difference for the lives of individuals across the country. We are an organization that cares deeply about our employees and we provide the training and support to do the best work of your career.

Benefits are a key component of your rewards package at Acentra Health. These benefits are designed to provide you and your family additional protection, security, and support for both your career and your life away from work. They are comprehensive and fit a variety of needs and situations. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts and more.

What you’ll do:

• Perform exploratory data analysis (EDA) to gain insights into patterns, trends, and relationships within the data
• Identify and engineer relevant features from structured and unstructured health data sources
• Stay up to date with the latest advancements in machine learning, healthcare informatics, and related fields to drive innovation and ensure the adoption of best practices
• Collaborate with interdisciplinary teams, including data scientists, clinicians, researchers, and IT professionals, to define project goals, data requirements, and model deployment strategies
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders through reports, presentations, and visualizations
• Optimize and fine-tune machine learning models for improved performance, scalability, and interpretability
• Analyze and preprocess large-scale health-related datasets to extract relevant information and identify data quality issues
• Design and develop machine learning models to solve complex health-related problems, such as predictive analytics, risk stratification, disease diagnosis, and treatment optimization
• Collaborate with domain experts to validate and interpret model results in the context of healthcare
• Design appropriate evaluation metrics and methodologies to assess the performance and generalizability of machine learning models
• Implement various machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing (NLP)
• Develop data visualization techniques to effectively communicate findings to both technical and non-technical stakeholders
• Validate models using statistical techniques, cross-validation, and hypothesis testing

What you’ll need:

Required Qualifications

• Master's or Ph.D. degree in computer science, data science, bioinformatics, or a related field.

Knowledge, Skills, Abilities

• Proficiency in using machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Strong programming skills in languages such as Python or R
• Familiarity with data visualization tools (e.g., Tableau, matplotlib, Plotly) and SQL databases
• Experience with healthcare datasets is highly desirable
• Strong communication and interpersonal skills, with the ability to collaborate effectively in multidisciplinary teams
• In-depth knowledge of machine learning algorithms, statistical analysis, and data mining techniques
• Demonstrated ability to translate business requirements into technical solutions and deliver high-quality results within given timelines

Experience

• Proven experience as a Data Scientist or Machine Learning Engineer in the healthcare domain.

Thank You!

We know your time is valuable and we thank you in advance for applying for this position. Due to the high volume of applicants we receive, only those who are chosen to advance in our interview process will be contacted. We sincerely appreciate your interest in Acentra Health and invite you to apply to future openings that may be of interest. Best of luck in your search!

~ The Acentra Health Talent Acquisition Team

Mental And Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be made as required by law in an attempt to enable an individual with a disability to perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time; key and/or control objects; interact extensively with internal and external customers; occasionally lift and/or move objects weighing up to 10 pounds; and occasionally travel within the state.

EOE AA M/F/Vet/Disability

Acentra Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran